Evidence map›Paper›PMID 23365612›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2013

Add-on effect of chinese herbal medicine on mortality in myocardial infarction: systematic review and meta-analysis of randomized controlled trials.

Vincent C H Chung, Mao Chen, Qin Ying, Wilson W S Tam, Xin Yin Wu, Polly H X Ma, Eric T C Ziea, Vivian C W Wong, Jin Ling Tang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Anti-inflammatory effects of the chinese herbal formula sini tang in myocardial infarction rats.Evidence-based complementary and alternative medicine : eCAM · 2014
    Article
  8. Review
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

9 authors at 3 institutions in 1 country.

Vincent C H ChungThe Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong.
Mao Chen
Qin Ying
Wilson W S Tam
Xin Yin Wu
Polly H X Ma
Eric T C Ziea
Vivian C W Wong
Jin Ling Tang
Hong Kong Jockey Club · CNChinese University of Hong Kong · CNHospital Authority · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In China, Chinese herbal medicine (CHM) is widely used as an adjunct to biomedicine (BM) in treating myocardial infarction (MI). This meta-analysis of RCTs evaluated the efficacy of combined CHM-BM in the treatment of MI, compared to BM alone. Sixty-five RCTs (12,022 patients) of moderate quality were identified. 6,036 patients were given CHM plus BM, and 5,986 patients used BM only. Combined results showed clear additional effect of CHM-BM treatment in reducing all-cause mortality (relative risk reduction (RRR) = 37%, 95% CI = 28%-45%, I(2) = 0.0%) and mortality of cardiac origin (RRR = 39%, 95% CI = 22%-52%, I(2) = 22.8). Benefits remained after random-effect trim and fill adjustment for publication bias (adjusted RRR for all-cause mortality = 29%, 95% CI = 16%-40%; adjusted RRR for cardiac death = 32%, 95% CI = 15%-46%). CHM is also found to be efficacious in lowering the risk of fatal and nonfatal cardiogenic shock, cardiac arrhythmia, myocardial reinfarction, heart failure, angina, and occurrence of total heart events. In conclusion, addition of CHM is very likely to be able to improve survival of MI patients who are already receiving BM. Further confirmatory evaluation via large blinded randomized trials is warranted.

Identifiers

PMID23365612
PMCPMC3556418
OpenAlexW2079703314

What OpenQuestion holds

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Registered trials

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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.