Online data supplement
Table ST1. Papers excluded for clearly not fulfilling the inclusion criteria (n=21).
Study
Reason for exclusion
Imamura et al., Archives of Oral Biology, 2002
Animal study
Jacobs et al., Ann N Y Acad Sci, 2007
Non pertinent to the review questions
Vieira et al., Atherosclerosis, 2009
Conference abstract
Viera et al., Atherosclerosis Supplements, 2009
Conference abstract
Amar et al., Society of Hypertension, 2010
Conference abstract
Puhar et al., Cerebrovascular Diseases, 2011
Conference abstract
Skilton et al., BMC Public Health, 2011
Study protocol
Tsioufis et al., Atherosclerosis, 2011
Non pertinent to the review questions
16th Meeting of the European Society of Neurosonology and
Conference abstract
Cerebral Hemodynamics, 2011
Dong et al., Sichuan Da Xue Xue Bao Yi Xue Ban, 2012
Animal study and Chinese language
Ng et al., Nephrology Dialysis Transplantation, 2012
Conference abstract
Puhar et al., Acta Clin Croat, 2012
Case report
Zahnd et al., Ultrasound Med Biol, 2012
Calculation of PWV only for test group
Carallo et al., J Clin Periodontol 2013
No calculation of PWV
Hayashida et al., Atherosclerosis, 2013
No calculation of PWV
Lieber et al., Journal of Clinical Hypertension, 2013
Conference abstract
Shanker et al., J Thrombosis and Haemostasis, 2013
Conference abstract
Stringer et al., BMC Nephrology, 2013
Non pertinent to the review questions
White et al., J Clin Sleep Med, 2013
Non pertinent to the review questions
Kapellas et al., Global Heart, 2014
Conference abstract
Lysek et al., European Journal of Heart Failure 2014
Conference abstract
Table ST2. Risk of bias for randomized clinical trials based on the Cochrane Handbook
for Systematic Reviews of Interventions. The study quality was assessed on 7 criteria as
adequate (+), non adequate (-), or unclear (?).
Study
Criteria
(Kapellas et al.,
2014)
Adequate random sequence generation (selection bias)
+
Allocation concealment (selection bias)
+
Blinding of participant and personnel (performance bias)
-
Blinding of outcome assessment (detection bias)
+
Incomplete outcome data (attrition bias)
-
Selective reporting (reporting bias)
+
Other sources of bias
?
RISK of BIAS
Low
2
Table ST3. Risk of bias for non-randomized clinical trials, cohort studies, case-series
based on the Newcastle-Ottawa Scale. The study quality was assessed on nine items
categorized into three main dimensions including selection, comparability, and
outcome/exposure. For each item a series of response options is provided and a star
system is used to allow a semi-quantitative assessment of study quality. A maximum of 9
stars can be assigned to the highest quality. Studies awarded with 6 stars or more are
considered at low risk of bias.
3
References
Franek, E., Januszkiewicz-Caulier, J., Blach, A., Napora, M., Jedynasty, K.,
Budlewski, T., Gozdowski, D. & Gorska, R. (2012) Intima-media thickness
and other markers of atherosclerosis in patients with type 2 diabetes and
periodontal disease. Kardiologia polska 70, 7-13.
Franek, E., Klamczynska, E., Ganowicz, E., Blach, A., Budlewski, T. & Gorska, R.
(2009) Association of chronic periodontitis with left ventricular mass and
central blood pressure in treated patients with essential hypertension.
American journal of hypertension 22, 203-207. doi:10.1038/ajh.2008.330.
Hanaoka, Y., Soejima, H., Yasuda, O., Nakayama, H., Nagata, M., Matsuo, K.,
Shinohara, M., Izumi, Y. & Ogawa, H. (2013) Level of serum antibody
against a periodontal pathogen is associated with atherosclerosis and
hypertension. Hypertension research : official journal of the Japanese Society
of Hypertension 36, 829-833. doi:10.1038/hr.2013.46.
Jockel-Schneider, Y., Harks, I., Haubitz, I., Fickl, S., Eigenthaler, M., Schlagenhauf,
U. & Baulmann, J. (2014) Arterial stiffness and pulse wave reflection are
increased in patients suffering from severe periodontitis. PloS one 9, e103449.
doi:10.1371/journal.pone.0103449.
Kapellas, K., Maple-Brown, L. J., Jamieson, L. M., Do, L. G., O'Dea, K., Brown, A.,
Cai, T. Y., Anstey, N. M., Sullivan, D. R., Wang, H., Celermajer, D. S., Slade,
G. D. & Skilton, M. R. (2014) Effect of periodontal therapy on arterial
structure and function among aboriginal australians: a randomized, controlled
trial. Hypertension 64, 702-708.
doi:10.1161/HYPERTENSIONAHA.114.03359.
Miyaki, K., Masaki, K., Naito, M., Naito, T., Hoshi, K., Hara, A., Tohyama, S. &
Nakayama, T. (2006) Periodontal disease and atherosclerosis from the
viewpoint of the relationship between community periodontal index of
treatment needs and brachial-ankle pulse wave velocity. BMC public health 6,
131. doi:10.1186/1471-2458-6-131.
Shanker, J., Setty, P., Arvind, P., Nair, J., Bhasker, D., Balakrishna, G. & Kakkar, V.
V. (2013) Relationship between periodontal disease, Porphyromonas
gingivalis, peripheral vascular resistance markers and coronary artery disease
in Asian Indians. Thrombosis research 132, e8-14.
doi:10.1016/j.thromres.2013.04.023.
Vidal, F., Cordovil, I., Figueredo, C. M. & Fischer, R. G. (2013) Non-surgical
periodontal treatment reduces cardiovascular risk in refractory hypertensive
patients: a pilot study. Journal of clinical periodontology 40, 681-687.
doi:10.1111/jcpe.12110.
Vieira, C. L., Cury, P. R., Miname, M. H., Martinez, L. R., Bortolotto, L. A.,
Giuliano, I. B., Santos, R. D. & Caramelli, B. (2011) Severe periodontitis is
associated with diastolic blood pressure elevation in individuals with
heterozygous familial hypercholesterolemia: a pilot study. Journal of
periodontology 82, 683-688. doi:10.1902/jop.2010.100496.
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