Cited by 190Tea Polyphenols and EffectsBlood Pressure and Hypertension StudiesCoffee research and impacts

The effect of green tea on blood pressure and lipid profile: A systematic review and meta-analysis of randomized clinical trials

Onakpoya, I., Spencer, E., Heneghan, C., Thompson, M.·2014·Nutrition, Metabolism and Cardiovascular Diseases

Abstract

Introduction Many different dietary supplements are currently marketed for the management of hypertension, but the evidence for effectiveness is mixed. The aim of this systematic review was to evaluate the evidence for or against the effectiveness of green tea (Camellia sinensis) on blood pressure and lipid parameters.Methods and results Electronic searches were conducted in Medline, Embase, Amed, Cinahl and the Cochrane Library to identify relevant human randomized clinical trials (RCTs). Hand searches of bibliographies were also conducted. The reporting quality of included studies was assessed using a checklist adapted from the CONSORT Statement. Two reviewers independently determined eligibility, assessed the reporting quality of the included studies, and extracted the data. As many as 474 citations were identified and 20 RCTs comprising 1536 participants were included. There were variations in the designs of the RCTs. A meta-analysis revealed a significant reduction in systolic blood pressure favouring green tea (MD: -1.94 mmHg; 95% CI: -2.95 to -0.93; I(2) = 8%; p = 0.0002). Similar results were also observed for total cholesterol (MD: -0.13 mmol/l; 95% CI: -0.2 to -0.07; I(2) = 8%; p < 0.0001) and LDL cholesterol (MD: -0.19 mmol/l; 95% CI: -0.3 to -0.09; I(2) = 70%; p = 0.0004). Adverse events included rash, elevated blood pressure, and abdominal discomfort.Conclusion Green tea intake results in significant reductions in systolic blood pressure, total cholesterol, and LDL cholesterol. The effect size on systolic blood pressure is small, but the effects on total and LDL cholesterol appear moderate. Longer-term independent clinical trials evaluating the effects of green tea are warranted.

Integrity signals

Registry

Crossref · 10.1016/j.numecd.2014.01.016

Cites

81 of 81 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

2 of the 83 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Onakpoya, I., Spencer, E., Heneghan, C., & Thompson, M.
Affiliations
  • University of Oxford (GB)
  • University of Washington (US)
Corresponding author
Onakpoya, I.
Venue
Nutrition, Metabolism and Cardiovascular Diseases
Publisher
Elsevier BV
Published
2014-08
Volume
24
Issue
8
Pages
823-836
ISSN
0939-4753 (ISSN-L)
OpenAlex
W2057449940
Cited by
190
References
83
Citations by year
2026: 4 · 2025: 11 · 2024: 12 · 2023: 12 · 2022: 17 · 2021: 14 · 2020: 30 · 2019: 9 · 2018: 16 · 2017: 24 · 2016: 21 · 2015: 16 · 2014: 3 · 2012: 1
FWCI
3.02
Type
journal article
Language
en
Open access
closed
Locations
  • Nutrition Metabolism and Cardiovascular Diseases (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute on Aging
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Tea Polyphenols and Effects
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
  • Health Sciences › Medicine › Pharmacology › Coffee research and impacts
Keywords
green tea, Camellia sinensis, blood pressure, systolic blood pressure, lipid profile, total cholesterol, LDL cholesterol, hypertension, dietary supplements, adverse events
MeSH terms
Animals, Blood Pressure, Cholesterol, Disease Models, Animal, Humans, Hypertension, Plant Extracts, Tea, Triglycerides, Randomized Controlled Trials as Topic, Dietary Supplements

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review