Mediators of angiogenesis in portal hypertension

advertisement
1
Global Registry for Outcomes of Varices in Children
(GROOVE)
Protocol Version 1.1
Version date Sept 30, 2013
Principal investigators:
Juan Cristóbal Gana, MD
Division of Paediatrics, Gastroenterology, Hepatology and Nutrition Unit, Pontificia
Universidad Católica de Chile, Chile
Simon C Ling, MBChB
Division of Gastroenterology, Hepatology & Nutrition, The Hospital for Sick Children
and Department of Paediatrics, University of Toronto, Canada
Abbreviations
CPR, clinical prediction rule; CWV, children with varices; EVL, endoscopic variceal
ligation; NSBB, non-selective β-blockers;
GROOVE Protocol, Version 1.1, date Sep 30, 2013
2
STUDY SUMMARY
Background & Hypotheses
In children with portal hypertension and esophageal or gastric varices due to liver disease or
portal vein thrombosis (“children with varices”, CWV), we have a poor understanding of the
natural history of varices and the morbidity and mortality associated with gastrointestinal
bleeding. The efficacy of therapies to prevent bleeding in CWV is unknown, in contrast to the
evidence from multiple adult studies that support the evidence-based guidelines for screening
endoscopy and primary prophylaxis with either non-selective β-blockers (NSBB) or endoscopic
variceal ligation (EVL) for adults with cirrhosis. Because a randomized controlled clinical trial
of prophylactic therapy in CWV is not feasible due to the large number of children required for
adequate power, we plan to use the variation in practice among paediatric gastroenterologists and
propensity score methodology to address the following hypotheses:
1. In CWV, prophylactic therapy with non-selective β-blockers (NSBB), endoscopic
variceal ligation (EVL) or endoscopic sclerotherapy (EST) prolongs the time to the first
gastrointestinal bleeding episode compared to no therapy.
2. Gastrointestinal bleeding in CWV can be predicted by a combination of endoscopic,
biochemical, hematological and imaging criteria.
Specific Aims
1. To measure the effect of NSBB, EVL and EST therapies on time to first gastrointestinal
bleed in CWV and to compare their adverse effects.
2. To measure the ability of endoscopic and non-endoscopic criteria to predict
gastrointestinal bleeding in CWV who receive no therapy.
Methodology & Data Analysis
Multiple sites will enroll consecutive children identified to have varices at the time of a clinically
indicated endoscopy. Standard data will be collected at enrollment (including demographics,
details of underlying disease, findings on endoscopy, bloodwork and ultrasound imaging).
Clinical management of the children will be dictated by their gastroenterologist/hepatologist and
will not be specified within the research protocol. Follow-up data will be collected annually,
including details of primary prophylactic therapy. Data will also be collected at the time of
repeat endoscopy, gastrointestinal bleeding, transplantation, portosystemic shunt procedure or
death. We aim to recruit 600 children over 3 years.
For data analysis, children will be divided into two groups. Group 1 (“No therapy group”) will
consist of CWV who receive no prophylactic therapy during follow-up. Group 2 (“Prophylaxis
group”) will consist of CWV who receive prophylactic therapy with any of NSBB, EVL, EST or
combination thereof. The efficacy of NSBB, EVL and EST primary prophylaxis therapy will be
measured by comparison of time to bleeding event using survival analysis and Cox proportional
hazard modelling. To minimize confounding in this non-randomized study design, data from all
groups will be used to specify a propensity score using a logistic regression model in which
treatment assignment is regressed on observed non-endoscopic and endoscopic variables
GROOVE Protocol, Version 1.1, date Sep 30, 2013
3
measured at baseline and that may influence treatment assignment. .This propensity score will be
included as a variable in the Cox proportional hazard model. Adverse events will be analyzed
using descriptive statistics and survival analysis, where appropriate. We will also undertake
exploratory analyses of the time to first variceal bleed for children receiving NSBB alone and
EVL alone.
The use of endoscopy and non-endoscopic variables to predict variceal bleeding will be analysed
using receiver operator characteristic (ROC) curve methodology and calculation of positive and
negative likelihood ratios.
Significance
The results of this study will provide widely generalizable estimates of the risks associated with
varices, the ability to predict bleeding, and the efficacy of prophylactic therapies in children.
These results will have the potential to radically enhance the current evidence base for the
clinical management of children with varices, enabling generation of clinical guidelines to
improve care and outcomes.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
4
1.0
BACKGROUND
Prevention and improved management of portal hypertension and its complications in children
are important goals. Portal hypertension and the formation of esophageal varices commonly
accompany advanced liver disease and portal vein thrombosis. Severe and life-threatening
complications may occur, including variceal hemorrhage. Three out of 4 children undergoing
liver transplantation show evidence of portal hypertension prior to transplant, and 1 in 4 have
suffered a major gastrointestinal hemorrhage usually due to rupture of esophageal varices (1).
Unfortunately, there is a paucity of high quality research detailing the natural history and risk for
bleeding in children with varices, and a lack of data to support evidence-based recommendations
for prophylactic therapy to prevent variceal bleeding in children. In contrast, many large-scale
studies in adults with portal hypertension have enabled the implementation of clinical practice
guidelines and improved morbidity and mortality in cirrhotic adults.
1.1
Natural history of esophageal varices
Variceal hemorrhage occurs in children with chronic liver disease or portal vein obstruction (29). In children with biliary atresia, the incidence of variceal hemorrhage ranges from 17% to
29% over a five to 10 year period (4-6) and is 50% in children who survive more than 10 years
without liver transplantation (7). Among 50 children with esophageal varices, primarily due to
cirrhosis, who were prospectively followed and not offered active treatment to prevent variceal
bleeding, 42% suffered upper gastrointestinal hemorrhage during a median 4.5 year follow-up
period (3). For children with extrahepatic portal vein thrombosis, the available studies suggest
that up to 50% suffer a major variceal hemorrhage by 16 years of age (2).
The prevalence of cirrhosis among adults in developed countries ranges between 0.4% and 1.1%
and studies of these patients have led to a greater understanding of the natural history of portal
hypertension in adults than we have for children (10, 11). Gastroesophageal varices are found in
up to two-thirds of cirrhotic adults; those without varices have a 5% chance (12) of developing
varices each year, and 5-10% of those with small varices will progress to large varices each year
(13). Once esophageal varices form, the risk of variceal bleeding within 2 years is between 20%
and 35% (14, 15), and up to 20% of these episodes will be fatal (16).
1.2
Morbidity and mortality associated with variceal bleeding
The mortality rate from gastrointestinal bleeding in children with portal hypertension has been
reported in only a small number of retrospective studies. Overall, mortality ranges from 2.5% to
20%, although children with portal vein thrombosis and bleeding from varices are reported to
have much lower mortality of 0-2% (2-9). There are no prospective studies that have examined
the mortality associated with variceal bleeding in the pediatric population in the context of
modern management approaches.
The morbidity associated with variceal bleeding has not been carefully characterized, although
clinical experience suggests that many children will require admission to an intensive care unit,
and may suffer decompensation of their underlying liver disease, with at least transient
development or exacerbation of ascites and coagulopathy. In cirrhotic adults following variceal
GROOVE Protocol, Version 1.1, date Sep 30, 2013
5
hemorrhage, studies have quantified the substantial risk of septicemia and renal injury, although
the incidence of these serious complications has not been quantified in CWV.
1.3
Diagnosis of varices
1.3.1
Endoscopy
Endoscopy is considered the gold standard for the diagnosis of esophageal varices (17). Variceal
size can be evaluated endoscopically and correlates with the risk of variceal hemorrhage in adults
(see Section 1.4.1).
1.3.2
Non-invasive diagnosis of esophageal varices
Several studies in adults with cirrhosis have shown that laboratory and imaging measurements
have good predictive power for the non-invasive diagnosis of esophageal varices (18-34). We are
currently undertaking Cochrane systematic reviews to help establish which of these different
approaches offers the greatest non-invasive diagnostic accuracy for esophageal varices (35-39).
Data to support the non-invasive identification of varices in children are sparse. In a recent study
of children with portal hypertension, cirrhotic children with splenomegaly were 14.6 fold more
likely to have esophageal varices compared to cirrhotic children without splenomegaly.
Hypoalbuminemia increased the likelihood of varices (OR 4.17 (95%CI 1.43,12.18)), while the
significance of thrombocytopenia in the univariate analysis did not hold in the multivariable
modeling (40).
Members of our research collaboration have undertaken studies to derive and validate a clinical
prediction rule (CPR) for the non-invasive diagnosis of varices in children. We initially
undertook a retrospective study in 51 consecutive children in one center, in which we derived a
CPR that accurately identified children with varices, using platelet count, spleen size z-score for
age, and albumin (41). We then validated these findings in a prospective multicenter study (42).
Eight centers from Canada, USA, Chile, Israel and UK recruited 108 consecutive children <18y
undergoing endoscopy with a diagnosis of portal hypertension from chronic liver disease or
portal vein obstruction. Based on positive and negative predictive values, the most accurate noninvasive tests for varices were the CPR and platelet count.
1.4
Prediction of variceal bleeding
1.4.1
Endoscopy
Endoscopic characteristics of varices are known to predict future bleeding, including larger
variceal size (43, 44) and the presence of red marks (45-47). Approximately 50-53% of adults
with large varices will bleed and 5-18% of those with small varices will bleed during a 2 year
follow-up period (48, 49). The North Italian Endoscopic Club (50) score, based on clinical and
endoscopic features, has 78% sensitivity, 51% specificity and area under the receiver operating
characteristic curve AUROC of 0.71 to predict variceal bleeding (51). After validation studies of
this score showed worse performance characteristics (52), a revised NIEC score (still reliant on
invasive endoscopy for its variables) was found to have a higher AUROC of 0.8 (53).
GROOVE Protocol, Version 1.1, date Sep 30, 2013
6
In children with biliary atresia, the risk of bleeding was noted to be higher in those with large
varices, with red marks on the varices (e.g. red spots or red wales), and those in whom
esophageal varices extended beyond the gastro-esophageal junction onto the lesser curvature of
the stomach (54). Children in this study underwent endoscopy at different ages (median 1 year
of age). By 5 years of age bleeding had occurred in approximately 60% of those found to have
grade 2 varices, and 100% of those with grade 3 varices.
Previous attempts to identify predictors of variceal bleeding have focused on adults with
cirrhosis and have used invasive tests (e.g. endoscopy) and/or ultrasound scan or other noninvasive tests (e.g. bloodwork results, Child Pugh score). Ultrasound and Doppler variables,
including portal vein size or the congestion index, have failed to identify reliable thresholds
above which varices develop or bleed (55, 56). Although the congestion index was found to be
correlated with hepatic venous pressure gradient (57), and with the size of varices (58), the
pronounced variability of measures of portal flow within individuals reduces their performance
characteristics as non-invasive tests for the prediction of variceal bleeding. Child Pugh score has
poor sensitivity and specificity for predicting the risk of variceal bleeding (59, 60).
The hepatic venous pressure gradient (HVPG) is an invasive, indirect measure of portal venous
pressure in cirrhosis. A risk of variceal hemorrhage is present when the HVPG is increased
above 12 mmHg (61, 62). Average HVPG is higher in patients who bleed, but a linear
relationship between the HVPG and the risk of bleeding has not been demonstrated (43). Studies
have shown that HVPG measurement in children is safe and suggest that threshold values for
variceal formation and bleeding may be similar to adults (63).
1.4.2
Retrospective pilot study of prediction of esophageal bleeding in children at the
Hospital for Sick Children
The non-invasive CPR for the diagnosis of varices (Section 1.3.2) may also be effective in
identifying children at high risk for variceal bleeding. Clinical, endoscopic and ultrasound
variables and bloodwork results were retrospectively recorded in 40 cases (children who had
bled from esophageal varices) and 34 controls (children with varices, but without bleeding for at
least 1 year following diagnosis) (64). Blood test and imaging data were recorded from 12
months before the bleeding episode. Significant predictors of variceal bleeding were the CPR
(AUROC 0.78, sensitivity 75%, specificity 76%), albumin, collaterals on abdominal ultrasound
and the presence of ascites. The current study will provide an opportunity to validate these
preliminary results within Specific Aim 4.
1.5
Prevention of variceal hemorrhage
Nonselective -blockers (NSBB) and endoscopic variceal ligation (EVL) offer effective primary
prophylaxis (prevention of a first episode of variceal bleeding) in adults with medium or large
varices (65, 66). Guidelines for adult patients in the United States and Europe, based upon
several large clinical trials, recommend endoscopy at the time of diagnosis of cirrhosis and
treatment of those with medium or large varices to prevent bleeding (67-69).
GROOVE Protocol, Version 1.1, date Sep 30, 2013
7
Due to a lack of controlled studies, the efficacy of primary prophylaxis in children with portal
hypertension remains unclear and the generation of clinical practice guidelines is therefore not
possible (70, 71). Available pediatric data concerning primary prophylaxis are primarily derived
from uncontrolled case series, which are summarized in Table 1 along with the results of the
only published randomized controlled trial of prophylactic endoscopic therapy. This study
compared endoscopic injection sclerotherapy (EST) with no treatment, and reported a benefit of
EST treatment. However, the ability to generalize these results is limited by the very high
bleeding rate in the control group (42%). Furthermore, early studies in adults showed an
unfavourable risk profile for EST and this therapy is therefore not recommended for primary
prophylaxis in adults. However, there are reports of its use for primary prophylaxis in small
infants, for whom the banding apparatus is too large. If undertaken by collaborators in this study,
data on these young infants receiving EST will be captured in Group 4.
Table 1. Studies of primary prophylaxis of variceal bleeding in children.
Beta-blockers
Shashidhar (72)
Ozsoylu (73)
Erkan (74)
EST
Paquet (75)
Howard (76)
Maksoud (77)
Goncalves (3)
Duché (78)
EVL
Cano (79)
Sasaki (80)
Celinska-Cedro
(81)
1.6
Year Design
n
Follow-up
% Bleeding
1999
2000
2003
CS
CS
CS
17
45
10
3y
5y
5.2y
35
16
10
1985
1988
1991
2000
2009
CS
CS
CS
RCT
CS
2
17
26
100
13
10y
2.5y
2.4y
4.5y
8m
0
0
42
6% EST vs 42% control
8
1995
1998
2003
CS
CS
CS
4
9
37
Not given
23m
16m
0
10
0
Developing an evidence base for the appropriate management of children
with varices
Calculations reveal that an adequately powered, controlled clinical trial of prophylactic therapy
with either NSBB or EVL would require recruitment of such a large number of CWV that
complete coverage of the equivalent of 50% of the child population of the USA would be
required (82). Such a large and expensive clinical trial is highly unlikely to ever be achieved.
To overcome this problem, we aim to determine the optimal management to improve outcomes
of CWV using a non-randomized study design and propensity score methodology to minimize
the confounding otherwise inherent to an observational study design.
The principal investigators of this research team have completed several steps towards arriving at
the current proposal. Firstly, we have shown that current practice among paediatric hepatologists
GROOVE Protocol, Version 1.1, date Sep 30, 2013
8
varies significantly, confirming that quality of care is clearly suboptimal for some children (83).
(84). Secondly, we have undertaken studies to validate a CPR that identifies children at high risk
of varices for whom endoscopy might be indicated (Section 1.3.2) (85). Thirdly, we have pilot
data to suggest that the CPR may also identify children at risk of variceal hemorrhage (Section
1.4.2).
With this current proposal, we now plan to amass prospective data from large numbers of
children with varices diagnosed by endoscopy at numerous centres around the world. We will
utilize the data and the variation in clinical practice to estimate the risk associated with varices,
the ability to predict bleeding, and the efficacy of primary and secondary prophylactic therapies
in children.
2.0
HYPOTHESES AND AIMS
2.1
Hypotheses
1. In CWV, prophylactic therapy with non-selective β-blockers (NSBB),
endoscopic variceal ligation (EVL) or endoscopic sclerotherapy (EST)
reduces the incidence of gastrointestinal bleeding compared to no therapy.
2. Gastrointestinal bleeding in CWV can be predicted by a combination of
endoscopic, biochemical, hematological and imaging criteria.
2.2
Specific Aims
The specific aims of this study are:
1. To measure the effect of NSBB, EVL and EST therapies on time to first
gastrointestinal bleed in CWV and to compare their adverse effects.
2. To compare the ability of endoscopic and non-endoscopic criteria to predict
gastrointestinal bleeding in CWV who receive no therapy.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
9
3.0
METHODS
3.1
Specific Aim 1:
To measure the effect of NSBB, EVL and EST therapies on time to first
gastrointestinal bleed in CWV and to compare their adverse effects.
3.1.1
Study design
This is a prospective, descriptive, multicenter registry collaboration.
3.1.2
Patients
Participating centres will recruit consecutive children who fulfil all of the inclusion and
exclusion criteria detailed below. Children will be enrolled following a clinically indicated
endoscopy that reveals the presence of varices.
Inclusion criteria

Age 16 years old

Esophageal and/or gastric varices identified by endoscopy.

Presence of
o
EITHER chronic liver disease, defined as liver disease of any etiology and
of any severity, diagnosed by standard clinical assessment and
investigation, that has been present or is expected to persist for at least 6
months,
o
OR portal vein obstruction, defined by standard clinical criteria including
imaging of the portal venous system.

Abdominal ultrasound scan including measurement of spleen length, performed
within 4 months of the endoscopy

Bloodwork including platelet count and albumin, performed within 4 months of
the endoscopy
Exclusion criteria

Previous or current history of upper gastrointestinal bleeding due to portal
hypertension

Previous surgical portal-systemic shunt procedure

Previous insertion of transjugular intrahepatic portal-systemic shunt (TIPS)
GROOVE Protocol, Version 1.1, date Sep 30, 2013
10

Previous endoscopic ligation or sclerotherapy of esophageal varices

Current therapy with -blockers, or previous therapy with -blockers within the
last 6 months

Previous organ transplantation

Any current malignant disease

Inability or unwillingness to provide consent for participation in the study.
3.1.3
Patient enrollment
Eligible patients will be initially approached by a member of their healthcare team that is well
known to them, for example their responsible gastroenterologist or hepatologist, or clinic nurse
or nurse practitioner. The approach will be made prior to the endoscopy being undertaken, either
when the decision is made to book the procedure, or on the day of the procedure. Verbal and
written information will be provided to the patient (as age appropriate) and family, and informed
consent obtained. Children without capacity to consent but with the ability to understand the
assent form will be asked to provide their assent.
3.1.4
Schedule of assessments
Data collection will occur at baseline (time of the endoscopy) and at the annual anniversaries of
the endoscopy. Initial data analysis will be based on 2 years of follow-up, but data collection is
expected to continue long-term thereafter, with an appropriately modified and approved protocol,
to maximize the opportunities for use of this unique registry data. Evaluations undertaken at each
time-point are detailed in Section 2.6 and in Table 2.
Table 2. Timetable of patient evaluations.
Enrollment
Annual
follow-up
Background data
X
(page 19)
X
(page 26)
Endoscopy data
form (Page 23)
X
Ultrasound data
form
X
X
Bloodwork
X
X
Bleeding event
data form (page
25)
At time of At time of
clinically a bleeding
indicated
event
endoscop
y
X
At
identification
of an
endpoint*
X
X
X
X
GROOVE Protocol, Version 1.1, date Sep 30, 2013
11
Endpoint data
form (Page 29)
X
*Death, portosystemic shunt surgery, meso-Rex bypass surgery, TIPS or liver transplantation
3.1.5
Measurements
Baseline data
The following information will be obtained at baseline, coinciding with or within 4 months of the
initial endoscopy: background information, which includes demographic information, primary
diagnoses, comorbidities, medications, and details of physical examination. Laboratory tests,
abdominal ultrasound scan, disease severity scores (Child Pugh, the Model for End-stage Liver
Disease (MELD) or the Pediatric End-stage Liver Disease (PELD) scores (87-89)). Data
collected from the endoscopy will include presence and location of varices, variceal size, red
marks, and presence of gastropathy (see Section 2.6.3 below).
Annual follow-up data
Follow-up data to be collected annually thereafter includes clinical history (including details of
bleeding episodes (Section 2.6.5), date of and indication for liver transplantation, or date of
death), physical examination, therapies (medications, endoscopic therapy, surgical therapy) (see
Section 2.6.4), and standard bloodwork variables from bloodwork performed as part of routine
clinical care (Appendix 1).
If repeat endoscopy and/or repeat USS are performed for clinical indications, details will be
recorded for the study, along with the bloodwork results from the nearest time-point available
within 4 months of these investigations.
Endoscopic data
The appearances of esophageal varices will be scored by the endoscopist according to the
systems detailed below. In addition, a pictorial record of the endoscopy will be provided either
by video or by multiple endoscopic pictures (including with and without air insufflation),
according to the capabilities of each centre to capture endoscopic video. This record of the
endoscopy will be independently and blindly reviewed by two additional endoscopists from other
centres, who will grade the varices blinded to the results of other tests including abdominal
ultrasound scan and bloodwork results. Scores obtained in these ways will be compared and
interobserver variability will be calculated. In case of discrepancies, the final scoring will be
resolved by majority. Endoscopists who review images will undergo training and periodic
assessment using standardized videos and pictures to ensure uniformity of scoring is maintained
throughout the study.
The presence and appearance of esophageal varices will be recorded. Variceal size will be
graded according to the following scoring system:
GROOVE Protocol, Version 1.1, date Sep 30, 2013
12
A previously evaluated semiquantitative grading (90, 91) based on two criteria; flattening of
esophageal varices by insufflation of air, and confluence of adjacent varices around the
esophageal wall. Three grades are possible:
a) Small varices: flatten with air insufflation and not confluent around the esophageal
wall.
b) Medium varices: do not flatten with air insufflation and not confluent around the
esophageal wall.
c) Large varices: do not flatten with air insufflation and are confluent around the
esophageal wall.
This semi-quantitative approach was chosen because is the best validated of all variceal sizing
system and it provides better inter-observer agreement as compared with quantitative grading
(92).
In addition, note will be made of the presence of vein-on-vein (also called red wales) or red
spots. Gastric or duodenal varices will be noted and described. Edema, submucosal petechial
areas, and snake-skin appearance of the stomach will be described to be consistent with portal
hypertensive gastropathy.
Treatment
Primary prophylaxis of variceal hemorrhage by endoscopic banding ligation or oral -blocker
therapy will be offered to patients at the discretion of the local clinician in each centre and not
determined by this research protocol.
Dosing of NSBB will be recorded. Number of episodes of EVL and the details of each
procedure will be recorded.
Gastrointestinal bleeding episodes
Details of gastrointestinal bleeding episodes will be collected, including date, markers of severity
(e.g. presence of hemodynamic disturbance, lowest haemoglobin, administration of blood
products), and subsequent comorbidities (e.g. infection, ascites, encephalopathy, admission to
critical care unit, rebleeding) or death.
3.1.6
Sample size
Previously published data do not support a sample size calculation for this study design.
Therefore, we aim to recruit as many patients as possible. We expect to ultimately include up to
60 sites (in a step-wise fashion, with the final number of sites determined by the recruitment
rate). With average recruitment per site of 10 patients, we will achieve a sample size of 600 over
a recruitment period of 3 years.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
13
3.1.7
Analysis
For data analysis, children will be divided into two groups. Group 1 (“No Therapy Group”) will
consist of CWV who receive no prophylactic therapy during follow-up. Group 2 (“Prophylaxis
Group”) will consist of CWV who receive prophylactic therapy with any of NSBB, EVL, EST or
combination thereof.
Baseline data from Groups 1 and 2 will be used to describe the proportions of patients with each
different grade of varices. Demographic and clinical data will be described using means and
standard deviations, medians with interquartile range, and proportions (with 95% confidence
interval), as appropriate. Data from Group 1 will be used to describe the incidence of and time to
gastrointestinal bleeding in CWV who receive no prophylactic therapy, the incidence and nature
of associated morbidity, and the associated mortality. Two survival curves will be presented, one
for children with parenchymal liver disease and another for children with portal vein obstruction.
In this observational study, subjects receiving different prophylactic treatments may differ
systematically from untreated subjects, because treatment is offered based primarily on the usual
practice of the treating physician. This differs from a randomized controlled trial (RCT), in
which treatment allocation is random. The use of a propensity score allows the design and
analysis of an observational study to mimic some of the characteristics of a randomized study.
Conditional upon the propensity score, the distribution of observed baseline covariates will be
similar between groups of treated and untreated subjects (93). Thus, just as randomization would
result in measured and unmeasured baseline variables being balanced between treatment groups,
so conditioning on the propensity score will, on average, result in measured (but not necessarily
unmeasured) baseline covariates being balanced between treatment groups (94). Furthermore,
propensity score methodology allows estimates of treatment effects to be presented in ways
similar to RCTs, for example the use of hazard ratios and number-needed-to-treat.
In this study, the propensity score will be specified using a logistic regression model that
includes the baseline variables that are considered to be potential confounders, as they may
influence treatment allocation by the treating physician (Table 3). An iterative approach will be
used, as recommended by experts in this methodology (93, 95). An initial propensity score
model will be specified and the comparability of treated and untreated groups of subjects will be
assessed using this initial score. If important systematic differences remain, the initial score will
be modified. Potential modifications include addition of covariates to the model, addition of
interactions between covariates, or modeling of the relationship between covariates and
treatment status using non-linear terms. This approach will be repeated until systematic
differences between groups are reduced to an acceptable level.
Table 3. Variables that may be predictive of outcome (variceal bleeding), decision to provide
prophylactic treatment, or both, for inclusion in the initial iteration of the propensity score
Non-endoscopic variables
Endoscopic variables
GROOVE Protocol, Version 1.1, date Sep 30, 2013
14
Predictive of outcome and decision to treat
CPR
Platelet count
Spleen size for age z-score (SSAZ)
Platelet/SSAZ ratio
Albumin
INR
Total and conjugated bilirubin
AST/ALT ratio
Child Pugh score
PELD or MELD score
Diagnosis
Weight-for-age Z-score
Height-for-age Z-score
Age
Time from diagnosis of portal hypertension
Grade of varices
Red marks on varices
Gastric varices
Portal gastropathy
Predictive of decision to treat
Centre
Data from patients in Groups 1 and 2 will then be used to estimate the treatment effect of any
prophylactic therapy compared to no treatment, using the propensity score to balance baseline
variables. The propensity score will be incorporated into the data analysis by a method called
inverse probability of treatment weighting (IPTW) using the propensity score (93). Outcomes
will be analyzed by Cox regression model with the propensity score as a variable within the
model.
The efficacy of prophylactic therapy will be analyzed in two ways:
(a) Survival analysis controlling for propensity score using a Cox proportional hazard model.
(b) Proportions in each group who bleed during a fixed follow-up period, controlling for
propensity score.
We will minimize the effect of “immortal time bias” (also known as “survivor treatment bias”)
by asking investigators to specify their intended therapy at the time of the endoscopy. We will
then conduct an “intention to treat” analysis based on this declared therapy, using the time of
endoscopy as the starting point of follow-up, even if therapy was not commenced until some
time thereafter. This delay in commencement of therapy is expected to be most important for
treatment with beta-blockers (96).
3.1.7.1 Exploratory analyses
We will also undertake exploratory analyses to estimate the treatment effect of NSBB alone,
EVL alone, and combination therapy with NSBB and EVL, compared to no treatment. The
GROOVE Protocol, Version 1.1, date Sep 30, 2013
15
propensity score will again be used to balance baseline variables. We will use survival analysis
and a Cox proportional hazards model.
3.2
Specific Aim 2:
To measure the ability of endoscopic and non-endoscopic criteria to predict
gastrointestinal bleeding in CWV who receive no therapy.
Data from Group 1 will be used to address this aim. Children within Group 1 will be divided into
those who have bled and those who have not bled, and separate analyses will be performed for
the groups of children with portal hypertension due to parenchymal liver disease and those due to
portal vein obstruction. It is recognized that the timing of recruitment to this study is not
necessarily at the onset of the presence of varices, but occurs instead at a variable point in the
natural history of the varices dependent upon the timing of endoscopy in clinical care. Timing of
endoscopy may vary between centres and physicians. Any tendency for the study entry criteria
to select for the sicker patients will be balanced between treatment groups by inclusion in the
propensity score of baseline variables that measure disease severity. In addition, data will be
collected to provide an estimate of the duration of liver disease and the duration of portal
hypertension (for example, date of onset of splenomegaly), when such information is available,
for use in exploratory sensitivity analyses.
First, data will be explored to search for variables that differ across these two groups. Variables
known to be predictive of the presence of varices and suggested by our pilot study to be
predictive of bleeding will be included in this initial analysis (Table 3).
Continuous variables (such as age, disease duration, laboratory values and spleen size) will be
compared using Student’s t test or Wilcoxon rank sum test, as appropriate for the data normality.
Categorical variables (such as gender, presence of cirrhosis and comorbidity) will be compared
using χ2 test or Fisher’s exact, as appropriate. It is to be emphasized that these analyses will be
exploratory in nature and will not affect the primary analysis. Therefore, no correction is planned
for multiple comparisons and a P value of <0.05 will be considered statistically significant.
The primary analysis for this specific aim will use diagnostic utility methods to evaluate the
ability of CPR to predict bleeding within 1 year and, in a separate analysis, within 3 years of
enrollment. Receiver operator characteristic (ROC) curve will be constructed, reporting the area
under the curve (AUC) with the corresponding 95%CI. Area under the ROC curve of over 0.7
will be considered indicative of a ‘fair’ test, 0.8 as ‘good’, and over 0.9 as an ‘excellent’ test. The
optimal cutoff of the CPR score will be determined as the point at which the second diagonal
crosses the ROC curve (i.e. the point where the shoulder of the curve is closest to the left upper
side of the figure). Other cutoffs to maximize sensitivity or specificity will be also explored.
Sensitivity, specificity, predictive values, and likelihood ratios will be calculated for this optimal
cutoff score, and two others, one to aim at optimizing sensitivity and the other to optimize
specificity.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
16
Exploratory analyses will be undertaken using a similar diagnostic utility statistics approach to
examine other test variables, such as spleen size, platelet count, and the ratio between AST and
ALT. Discussion of the best prediction rule will follow visual inspection of the various area
under the ROC curve values, prediction values and feasibility.
4.0
GENERAL CONSIDERATIONS
4.1
Ethics
Each participating centre will obtain approval from their local Institutional Review Board,
Research Ethics Committee, or similar body. The study will be conducted in adherence to ethical
principles of medical research outlined in the Declaration of Helsinki and other relevant
documents.
4.2
Privacy
All data submitted to the study database, or kept locally in each collaborating centre, will be deidentified. Participants will each receive a unique identifying number that will appear on all their
documentation. No potential identifiers will be collected, including initials, full date of birth (we
will collect month and year only), or postal code.
The online database will be password-protected, and each collaborator will have their own
unique username and password. Documentation held at local sites will also be held in passwordprotected files, drives and/or computers. Paper copies of research data will be kept in locked
drawers in locked offices to which only members of the research team will have access.
4.3
Data-transfer agreements
Each collaborating centre will sign a data transfer agreement with Pontificia Universidad
Católica de Chile according to the requirements of the local regulatory authorities.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
17
References
1. Ling SC, Pfeiffer A, Avitzur Y, Fecteau A, Grant D, Ng VL. Long-term follow-up of portal hypertension
after liver transplantation in children. Pediatr Transplant. In press 2008.
2. Lykavieris P, Gauthier F, Hadchouel P, Duche M, Bernard O. Risk of gastrointestinal bleeding during
adolescence and early adulthood in children with portal vein obstruction. J Pediatr 2000 Jun;136(6):805808.
3. Goncalves ME, Cardoso SR, Maksoud JG. Prophylactic sclerotherapy in children with esophageal varices:
long-term results of a controlled prospective randomized trial. J Pediatr Surg 2000 Mar;35(3):401-405.
4. Miga D, Sokol RJ, Mackenzie T, Narkewicz MR, Smith D, Karrer FM. Survival after first esophageal
variceal hemorrhage in patients with biliary atresia. J Pediatr 2001 Aug;139(2):291-296.
5. van Heurn LW, Saing H, Tam PK. Portoenterostomy for biliary atresia: Long-term survival and prognosis
after esophageal variceal bleeding. J Pediatr Surg 2004 Jan;39(1):6-9.
6. Kobayashi A, Itabashi F, Ohbe Y. Long-term prognosis in biliary atresia after hepatic portoenterostomy:
analysis of 35 patients who survived beyond 5 years of age. J Pediatr 1984 Aug;105(2):243-246.
7. Toyosaka A, Okamoto E, Okasora T, Nose K, Tomimoto Y. Outcome of 21 patients with biliary atresia
living more than 10 years. J Pediatr Surg 1993 Nov;28(11):1498-1501.
8. Mitra SK, Kumar V, Datta DV, Rao PN, Sandhu K, Singh GK, et al. Extrahepatic portal hypertension: a
review of 70 cases. J Pediatr Surg 1978 Feb;13(1):51-57.
9. Webb LJ, Sherlock S. The aetiology, presentation and natural history of extra-hepatic portal venous
obstruction. Q J Med 1979 Oct;48(192):627-639.
10. Quinn PG, Johnston DE. Detection of chronic liver disease: costs and benefits. Gastroenterologist 1997
Mar;5(1):58-77.
11. Bellentani S, Tiribelli C, Saccoccio G, Sodde M, Fratti N, De Martin C, et al. Prevalence of chronic liver
disease in the general population of northern Italy: the Dionysos Study. Hepatology 1994 Dec;20(6):14421449.
12. GARCEAU AJ, CHALMERS TC. The natural history of cirrhosis. I. Survival with esophageal varices. N
Engl J Med 1963 Feb 28;268:469-473.
13. Merli M, Nicolini G, Angeloni S, Rinaldi V, De Santis A, Merkel C, et al. Incidence and natural history of
small esophageal varices in cirrhotic patients. J Hepatol 2003 Mar;38(3):266-272.
14. Prediction of the first variceal hemorrhage in patients with cirrhosis of the liver and esophageal varices. A
prospective multicenter study. The North Italian Endoscopic Club for the Study and Treatment of
Esophageal Varices. N Engl J Med 1988 Oct 13;319(15):983-989.
15. Gores GJ, Wiesner RH, Dickson ER, Zinsmeister AR, Jorgensen RA, Langworthy A. Prospective
evaluation of esophageal varices in primary biliary cirrhosis: development, natural history, and influence on
survival. Gastroenterology 1989 Jun;96(6):1552-1559.
16. D'Amico G, de Franchis R. Upper digestive bleeding in cirrhosis. Post-therapeutic outcome and prognostic
indicators. Hepatology 2003 Sep;38(3):599-612.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
18
17. de Franchis R. Evolving consensus in portal hypertension. Report of the Baveno IV consensus workshop on
methodology of diagnosis and therapy in portal hypertension. J Hepatol 2005 Jul;43(1):167-176.
18. Ng FH, Wong SY, Loo CK, Lam KM, Lai CW, Cheng CS. Prediction of oesophagogastric varices in
patients with liver cirrhosis. J Gastroenterol Hepatol 1999 Aug;14(8):785-790.
19. Schepis F, Camma C, Niceforo D, Magnano A, Pallio S, Cinquegrani M, et al. Which patients with
cirrhosis should undergo endoscopic screening for esophageal varices detection? Hepatology 2001
Feb;33(2):333-338.
20. Giannini E, Botta F, Borro P, Risso D, Romagnoli P, Fasoli A, et al. Platelet count/spleen diameter ratio:
proposal and validation of a non-invasive parameter to predict the presence of oesophageal varices in
patients with liver cirrhosis. Gut 2003 Aug;52(8):1200-1205.
21. Thomopoulos KC, Labropoulou-Karatza C, Mimidis KP, Katsakoulis EC, Iconomou G, Nikolopoulou VN.
Non-invasive predictors of the presence of large oesophageal varices in patients with cirrhosis. Dig Liver
Dis 2003 Jul;35(7):473-478.
22. Zein CO, Lindor KD, Angulo P. Prevalence and predictors of esophageal varices in patients with primary
sclerosing cholangitis. Hepatology 2004 Jan;39(1):204-210.
23. Thabut D, Trabut JB, Massard J, Rudler M, Muntenau M, Messous D, et al. Non-invasive diagnosis of
large oesophageal varices with FibroTest in patients with cirrhosis: a preliminary retrospective study. Liver
Int 2006 Apr;26(3):271-278.
24. Kazemi F, Kettaneh A, N'kontchou G, Pinto E, Ganne-Carrie N, Trinchet JC, et al. Liver stiffness
measurement selects patients with cirrhosis at risk of bearing large oesophageal varices. J Hepatol 2006
Aug;45(2):230-235.
25. Cottone M, D'Amico G, Maringhini A, Amuso M, Sciarrino E, Traina M, et al. Predictive value of
ultrasonography in the screening of non-ascitic cirrhotic patients with large varices. J Ultrasound Med 1986
Apr;5(4):189-192.
26. Chalasani N, Imperiale TF, Ismail A, Sood G, Carey M, Wilcox CM, et al. Predictors of large esophageal
varices in patients with cirrhosis. Am J Gastroenterol 1999 Nov;94(11):3285-3291.
27. Pilette C, Oberti F, Aube C, Rousselet MC, Bedossa P, Gallois Y, et al. Non-invasive diagnosis of
esophageal varices in chronic liver diseases. J Hepatol 1999 Nov;31(5):867-873.
28. Zaman A, Hapke R, Flora K, Rosen HR, Benner K. Factors predicting the presence of esophageal or gastric
varices in patients with advanced liver disease. Am J Gastroenterol 1999 Nov;94(11):3292-3296.
29. Madhotra R, Mulcahy HE, Willner I, Reuben A. Prediction of esophageal varices in patients with cirrhosis.
J Clin Gastroenterol 2002 Jan;34(1):81-85.
30. Giannini EG, Botta F, Borro P, Dulbecco P, Testa E, Mansi C, et al. Application of the platelet
count/spleen diameter ratio to rule out the presence of oesophageal varices in patients with cirrhosis: a
validation study based on follow-up. Dig Liver Dis 2005 Oct;37(10):779-785.
31. Zaman A, Becker T, Lapidus J, Benner K. Risk factors for the presence of varices in cirrhotic patients
without a history of variceal hemorrhage. Arch Intern Med 2001 Nov 26;161(21):2564-2570.
32. Vanbiervliet G, Barjoan-Marine E, Anty R, Piche T, Hastier P, Rakotoarisoa C, et al. Serum fibrosis
markers can detect large oesophageal varices with a high accuracy. Eur J Gastroenterol Hepatol 2005
Mar;17(3):333-338.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
19
33. Sethar GH, Ahmed R, Rathi SK, Shaikh NA. Platelet count/splenic size ratio: a parameter to predict the
presence of esophageal varices in cirrhotics. J Coll Physicians Surg Pak 2006 Apr;16(4):183-186.
34. Giannini EG, Zaman A, Kreil A, Floreani A, Dulbecco P, Testa E, et al. Platelet count/spleen diameter ratio
for the noninvasive diagnosis of esophageal varices: results of a multicenter, prospective, validation study.
Am J Gastroenterol 2006 Nov;101(11):2511-2519.
35. Gana JC, Turner D, Yap J, Adams-Webber T, Rashkovan N, Ling SC. Platelet count, spleen length, and
platelet count/spleen length ratio for the diagnosis of oesophageal varices in patients with chronic liver
disease or portal vein thrombosis (Protocol). Cochrane Database of Systematic Reviews 2010;(10):Art.
No.: CD008759. DOI: 10.1002/14651858.CD008759.
36. Gana JC, Turner D, Yap J, Adams-Webber T, Rashkovan N, Ling SC. Transient ultrasound elastography
and magnetic resonance elastography for the diagnosis of oesophageal varices in patients with chronic liver
disease or portal vein thrombosis (Protocol). Cochrane Database of Systematic Reviews 2010;(10):Issue
10. Art. No.: CD008761. DOI: 10.1002/14651858.CD008761.
37. Gana JC, Turner D, Yap J, Adams-Webber T, Rashkovan N, Ling SC. Capsule endoscopy for the diagnosis
of oesophageal varices in patients with chronic liver disease or portal vein thrombosis (Protocol). Cochrane
Database of Systematic Reviews 2010;(10):Art. No.: CD008760. DOI:10.1002/14651858.CD008760.
38. Gana JC, Turner D, Yap J, Adams-Webber T, Rashkovan N, Ling SC. Non-invasive test of liver fibrosis
for the diagnosis of oesophageal varices in patients with chronic liver disease or portal vein thrombosis
(Protocol). Cochrane Database of Systematic Reviews 2010;(10):Art. No.: CD008764. DOI:
10.1002/14651858.CD008764.
39. Gana JC, Turner D, Yap J, Adams-Webber T, Rashkovan N, Ling SC. Magnetic resonance imaging,
computer tomography scan, and oesophagography for the diagnosis of oesophageal varices in patients with
chronic liver disease or portal vein thrombosis (Protocol). Cochrane Database of Systematic Reviews
2010;(10):Art. No.: CD008763. DOI: 10.1002/14651858.CD008763.
40. Fagundes ED, Ferreira AR, Roquete ML, Penna FJ, Goulart EM, Figueiredo Filho PP, et al. Clinical and
laboratory predictors of esophageal varices in children and adolescents with portal hypertension syndrome.
J Pediatr Gastroenterol Nutr 2008 Feb;46(2):178-183.
41. Gana JC, Turner D, Roberts EA, Ling SC. Derivation of a clinical prediction rule for the noninvasive
diagnosis of varices in children. J Pediatr Gastroenterol Nutr 2010 Feb;50(2):188-193.
42. Gana JC, Turner D, Mieli-Vergani G, Davenport M, Miloh T, Avitzur Y, et al. A clinical prediction rule
and platelet count predict esophageal varices in children. Gastroenterology 2011 Dec;141(6):2009-2016.
43. Garcia-Tsao G, Groszmann RJ, Fisher RL, Conn HO, Atterbury CE, Glickman M. Portal pressure, presence
of gastroesophageal varices and variceal bleeding. Hepatology 1985 May;5(3):419-424.
44. Lebrec D, De Fleury P, Rueff B, Nahum H, Benhamou JP. Portal hypertension, size of esophageal varices,
and risk of gastrointestinal bleeding in alcoholic cirrhosis. Gastroenterology 1980 Dec;79(6):1139-1144.
45. Beppu K, Inokuchi K, Koyanagi N, Nakayama S, Sakata H, Kitano S, et al. Prediction of variceal
hemorrhage by esophageal endoscopy. Gastrointest Endosc 1981 Nov;27(4):213-218.
46. Prediction of the first variceal hemorrhage in patients with cirrhosis of the liver and esophageal varices. A
prospective multicenter study. The North Italian Endoscopic Club for the Study and Treatment of
Esophageal Varices. N Engl J Med 1988 Oct 13;319(15):983-989.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
20
47. Kleber G, Sauerbruch T, Ansari H, Paumgartner G. Prediction of variceal hemorrhage in cirrhosis: a
prospective follow-up study. Gastroenterology 1991 May;100(5 Pt 1):1332-1337.
48. Prediction of the first variceal hemorrhage in patients with cirrhosis of the liver and esophageal varices. A
prospective multicenter study. The North Italian Endoscopic Club for the Study and Treatment of
Esophageal Varices. N Engl J Med 1988 Oct 13;319(15):983-989.
49. Zoli M, Merkel C, Magalotti D, Marchesini G, Gatta A, Pisi E. Evaluation of a new endoscopic index to
predict first bleeding from the upper gastrointestinal tract in patients with cirrhosis. Hepatology 1996
Nov;24(5):1047-1052.
50. Prediction of the first variceal hemorrhage in patients with cirrhosis of the liver and esophageal varices. A
prospective multicenter study. The North Italian Endoscopic Club for the Study and Treatment of
Esophageal Varices. N Engl J Med 1988 Oct 13;319(15):983-989.
51. Merkel C, Gatta A. Can we predict the first variceal bleeding in the individual patient with cirrhosis and
esophageal varices? J Hepatol 1991 Nov;13(3):378.
52. Rigo GP, Merighi A, Chahin NJ, Mastronardi M, Codeluppi PL, Ferrari A, et al. A prospective study of the
ability of three endoscopic classifications to predict hemorrhage from esophageal varices. Gastrointest
Endosc 1992 Jul;38(4):425-429.
53. Merkel C, Zoli M, Siringo S, van BH, Magalotti D, Angeli P, et al. Prognostic indicators of risk for first
variceal bleeding in cirrhosis: a multicenter study in 711 patients to validate and improve the North Italian
Endoscopic Club (NIEC) index. Am J Gastroenterol 2000 Oct;95(10):2915-2920.
54. Duche M, Ducot B, Tournay E, Fabre M, Cohen J, Jacquemin E, et al. Prognostic value of endoscopy in
children with biliary atresia at risk for early development of varices and bleeding. Gastroenterology 2010
Dec;139(6):1952-1960.
55. Cioni G, Tincani E, Cristani A, Ventura P, D'Alimonte P, Sardini C, et al. Does the measurement of portal
flow velocity have any value in the identification of patients with cirrhosis at risk of digestive bleeding?
Liver 1996 Apr;16(2):84-87.
56. Siringo S, Bolondi L, Gaiani S, Sofia S, Di Febo G, Zironi G, et al. The relationship of endoscopy, portal
Doppler ultrasound flowmetry, and clinical and biochemical tests in cirrhosis. J Hepatol 1994 Jan;20(1):1118.
57. Moriyasu F, Nishida O, Ban N, Nakamura T, Sakai M, Miyake T, et al. "Congestion index" of the portal
vein. AJR Am J Roentgenol 1986 Apr;146(4):735-739.
58. Siringo S, Bolondi L, Gaiani S, Sofia S, Di Febo G, Zironi G, et al. The relationship of endoscopy, portal
Doppler ultrasound flowmetry, and clinical and biochemical tests in cirrhosis. J Hepatol 1994 Jan;20(1):1118.
59. Gluud C, Henriksen JH, Nielsen G. Prognostic indicators in alcoholic cirrhotic men. Hepatology 1988
Mar;8(2):222-227.
60. Merkel C, Bolognesi M, Bellon S, Zuin R, Noventa F, Finucci G, et al. Prognostic usefulness of hepatic
vein catheterization in patients with cirrhosis and esophageal varices. Gastroenterology 1992
Mar;102(3):973-979.
61. Groszmann RJ, Bosch J, Grace ND, Conn HO, Garcia-Tsao G, Navasa M, et al. Hemodynamic events in a
prospective randomized trial of propranolol versus placebo in the prevention of a first variceal hemorrhage.
Gastroenterology 1990 Nov;99(5):1401-1407.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
21
62. Casado M, Bosch J, Garcia-Pagan JC, Bru C, Banares R, Bandi JC, et al. Clinical events after transjugular
intrahepatic portosystemic shunt: correlation with hemodynamic findings. Gastroenterology 1998
Jun;114(6):1296-1303.
63. Miraglia R, Luca A, Maruzzelli L, Spada M, Riva S, Caruso S, et al. Measurement of hepatic vein pressure
gradient in children with chronic liver diseases. J Hepatol 2010 Oct;53(4):624-629.
64. Gana JC, Turner D, Avitzur Y, Ling SC. Prediction of esophageal variceal bleeding in children [Abstract].
Gastroenterology 2009;136(5):A-825.
65. D'Amico G, Pagliaro L, Bosch J. Pharmacological treatment of portal hypertension: an evidence-based
approach. Semin Liver Dis 1999;19(4):475-505.
66. Imperiale TF, Chalasani N. A meta-analysis of endoscopic variceal ligation for primary prophylaxis of
esophageal variceal bleeding. Hepatology 2001 Apr;33(4):802-807.
67. Grace ND, Groszmann RJ, Garcia-Tsao G, Burroughs AK, Pagliaro L, Makuch RW, et al. Portal
hypertension and variceal bleeding: an AASLD single topic symposium. Hepatology 1998 Sep;28(3):868880.
68. Adams PC, Arthur MJ, Boyer TD, DeLeve LD, Di Bisceglie AM, Hall M, et al. Screening in liver disease:
report of an AASLD clinical workshop. Hepatology 2004 May;39(5):1204-1212.
69. Jalan R, Hayes PC. UK guidelines on the management of variceal haemorrhage in cirrhotic patients. British
Society of Gastroenterology. Gut 2000 Jun;46 Suppl 3-4:III1-III15.
70. Ling SC. Should children with esophageal varices receive -blockers for the primary prevention of variceal
hemorrhage? Can J Gastroenterol. In press 2005.
71. Shneider BL, Bosch J, de FR, Emre SH, Groszmann RJ, Ling SC, et al. Portal Hypertension in Children:
Expert Pediatric Opinion on the Report of the Baveno V Consensus Workshop on Methodology of
Diagnosis and Therapy in Portal Hypertension. Pediatr Transplant 2012 Mar 13.
72. Shashidhar H, Langhans N, Grand RJ. Propranolol in prevention of portal hypertensive hemorrhage in
children: a pilot study. J Pediatr Gastroenterol Nutr 1999 Jul;29(1):12-17.
73. Ozsoylu S, Kocak N, Demir H, Yuce A, Gurakan F, Ozen H. Propranolol for primary and secondary
prophylaxis of variceal bleeding in children with cirrhosis. Turk J Pediatr 2000 Jan;42(1):31-33.
74. Erkan T, Cullu F, Kutlu T, Emir H, Yesildag E, Sarimurat N, et al. Management of portal hypertension in
children: a retrospective study with long-term follow-up. Acta Gastroenterol Belg 2003 Jul;66(3):213-217.
75. Paquet KJ. Ten years experience with paravariceal injection sclerotherapy of esophageal varices in
children. J Pediatr Surg 1985 Apr;20(2):109-112.
76. Howard ER, Stringer MD, Mowat AP. Assessment of injection sclerotherapy in the management of 152
children with oesophageal varices. Br J Surg 1988 May;75(5):404-408.
77. Maksoud JG, Goncalves ME, Porta G, Miura I, Velhote MC. The endoscopic and surgical management of
portal hypertension in children: analysis of 123 cases. J Pediatr Surg 1991 Feb;26(2):178-181.
78. Duche M, Habes D, Roulleau P, Haas V, Jacquemin E, Bernard O. Prophylactic endoscopic sclerotherapy
of large esophagogastric varices in infants with biliary atresia. Gastrointest Endosc 2008 Apr;67(4):732737.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
22
79. Cano I, Urruzuno P, Medina E, Vilarino A, Benavent MI, Manzanares J, et al. Treatment of esophageal
varices by endoscopic ligation in children. Eur J Pediatr Surg 1995 Oct;5(5):299-302.
80. Sasaki T, Hasegawa T, Nakajima K, Tanano H, Wasa M, Fukui Y, et al. Endoscopic variceal ligation in the
management of gastroesophageal varices in postoperative biliary atresia. J Pediatr Surg 1998
Nov;33(11):1628-1632.
81. Celinska-Cedro D, Teisseyre M, Woynarowski M, Socha P, Socha J, Ryzko J. Endoscopic ligation of
esophageal varices for prophylaxis of first bleeding in children and adolescents with portal hypertension:
preliminary results of a prospective study. J Pediatr Surg 2003 Jul;38(7):1008-1011.
82. Ling SC, Walters T, McKiernan PJ, Schwarz KB, Garcia-Tsao G, Shneider BL. Primary prophylaxis of
variceal hemorrhage in children with portal hypertension: a framework for future research. J Pediatr
Gastroenterol Nutr 2011 Mar;52(3):254-261.
83. Gana JC, Valentino PL, Morinville V, O'Connor C, Ling SC. Variation in care for children with esophageal
varices: a study of physicians', patients', and families' approaches and attitudes. J Pediatr Gastroenterol Nutr
2011 Jun;52(6):751-755.
84. Shneider BL. Approaches to the management of pediatric portal hypertension: results of an informal
survey. In: Groszmann RJ, Bosch J, eds. Portal hypertension in the 21st century.Dordrecht, The
Netherlands: Kluwer Academic Publishers, 2004. 167-172.
85. Gana JC, Turner D, Mieli-Vergani G, Davenport M, Miloh T, Avitzur Y, et al. A clinical prediction rule
and platelet count predict esophageal varices in children. Gastroenterology 2011 Dec;141(6):2009-2016.
86. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture
(REDCap)--a metadata-driven methodology and workflow process for providing translational research
informatics support. J Biomed Inform 2009 Apr;42(2):377-381.
87. Kamath PS, Wiesner RH, Malinchoc M, Kremers W, Therneau TM, Kosberg CL, et al. A model to predict
survival in patients with end-stage liver disease. Hepatology 2001 Feb;33(2):464-470.
88. McDiarmid SV, Anand R, Lindblad AS. Development of a pediatric end-stage liver disease score to predict
poor outcome in children awaiting liver transplantation. Transplantation 2002 Jul 27;74(2):173-181.
89. Pugh RN, Murray-Lyon IM, Dawson JL, Pietroni MC, Williams R. Transection of the oesophagus for
bleeding oesophageal varices. Br J Surg 1973 Aug;60(8):646-649.
90. Cales P, Zabotto B, Meskens C, Caucanas JP, Vinel JP, Desmorat H, et al. Gastroesophageal endoscopic
features in cirrhosis. Observer variability, interassociations, and relationship to hepatic dysfunction.
Gastroenterology 1990 Jan;98(1):156-162.
91. Cales P, Buscail L, Bretagne JF, Champigneulle B, Bourbon P, Duclos B, et al. [Interobserver and
intercenter agreement of gastro-esophageal endoscopic signs in cirrhosis. Results of a prospective
multicenter study]. Gastroenterol Clin Biol 1989 Dec;13(12):967-973.
92. Cales P, Oberti F, Bernard-Chabert B, Payen JL. Evaluation of Baveno recommendations for grading
esophageal varices. J Hepatol 2003 Oct;39(4):657-659.
93. Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in
Observational Studies. Multivariate Behav Res 2011 May;46(3):399-424.
94. Austin PC, Mamdani MM, Stukel TA, Anderson GM, Tu JV. The use of the propensity score for
estimating treatment effects: administrative versus clinical data. Stat Med 2005 May 30;24(10):1563-1578.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
23
95. Rosenbaum PR, Rubin DB. Reducing bias in observational studies using subclassification on the propensity
score [Abstract]. J Am Statistical Assoc 1984;79:516-524.
96. Suissa S. Immortal time bias in pharmaco-epidemiology. Am J Epidemiol 2008 Feb 15;167(4):492-499.
GROOVE Protocol, Version 1.1, date Sep 30, 2013
Download