Evidence map›Paper›PMID 27195823›Full record

SynthesisBritish journal of clinical pharmacology2017

Traditional Chinese medicines in the management of cardiovascular diseases: a comprehensive systematic review.

Kerry Layne, Albert Ferro

Abstract readSystematic Review
In one paragraph

Synthesis in British journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  19. Are nutraceuticals the modern panacea? From myth to science.British journal of clinical pharmacology · 2017
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Kerry LayneDepartment of Clinical Pharmacology, Cardiovascular Division, King's College London, London, UK.
Albert FerroDepartment of Clinical Pharmacology, Cardiovascular Division, King's College London, London, UK.

Funding

British Heart Foundation FS/13/45/30345
6 · The paper itself

Abstract

aimsThe aim was to perform a systematic review of the efficacy of traditional Chinese medicines (TCM) in cardiovascular disease.

methodsElectronic databases were searched up to 11 November 2015 for all randomized-controlled trials evaluating the effect of TCM in hypertension, ischaemic stroke, heart failure, coronary heart disease and type 2 diabetes mellitus. Pooled odds ratios (ORs) were calculated using a fixed-effects model.

resultsFour hypertension studies were eligible for statistical analysis and included 133 patients receiving TCM and 130 control patients. There were significant reductions in systolic blood pressure in patients receiving TCM, comparable to results achieved with pharmaceutical medicines. An OR of 3.781 (95% confidence interval 2.392, 5.977; P = 0.000) was observed for the anti-hypertensive effect of TCM. Significant heterogeneity was present (P = 0.011), with a tendency towards publication bias that did not reach significance (P = 0.05275). Outcome measures for other cardiovascular diseases were inconsistent.

conclusionsCertain TCM compounds appear to have significant anti-hypertensive effects, and although some are associated in some studies with improved outcomes in coronary heart disease, heart failure and type 2 diabetes mellitus, the data are inconsistent and will require large-scale randomized-controlled trials to allow full evaluation of any potential therapeutic benefit in these areas.

Indexed as

Cardiovascular DiseasesDatabases, FactualDrugs, Chinese HerbalHumansMedicine, Chinese TraditionalRandomized Controlled Trials as TopicTreatment OutcomeDrugs, Chinese Herbalcardiovascular diseasecoronary heart diseasehypertensionTraditional Chinese Medicine

Identifiers

PMID27195823
PMCPMC5338138

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.