Evidence map›Paper›PMID 30461607›Full record

ReviewMedicine2018

Assessing the methodological and reporting quality of network meta-analyses in Chinese medicine.

Fengwen Yang, Hucheng Wang, Jiahan Zou, Xuemei Li, Xinyao Jin, Yawen Cao, Jinhui Tian, Long Ge, Myeong Soo Lee, Junhua Zhang

Abstract readReview
In one paragraph

Review in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 4 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

9 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Pooled it
  5. Article
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  7. Review
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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

10 authors.

Fengwen YangEvidence-Based Medicine Center.
Hucheng WangEvidence-Based Medicine Center.
Jiahan ZouGraduate School, Tianjin University of Traditional Chinese Medicine.
Xuemei LiBaokang Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin.
Xinyao JinEvidence-Based Medicine Center.
Yawen CaoGraduate School, Tianjin University of Traditional Chinese Medicine.
Jinhui TianEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Long GeEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Myeong Soo LeeClinical Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Junhua ZhangEvidence-Based Medicine Center.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increasing number of network meta-analyses (NMAs) in traditional Chinese medicine (TCM) have been published recently, but the quality of them was lack of assessment. This study aims to evaluate the methodological and reporting quality of NMAs in TCM.

methodsSix electronic databases, including PubMed, the Cochrane Central Register of Controlled Trials (CENTRAL), Embase, China National Knowledge Infrastructure (CNKI), Wanfang and Chinese Biomedical Literature Database (CBM) from inception to January 2018, were searched. NMAs of TCM were included. A measurement tool to assess the methodological quality of systematic reviews (AMSTAR) and the PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions (PRISMA-NMA) were used to assess the methodological and reporting quality of the included NMAs.

resultsA total of 40 NMAs, including 2535 randomized controlled trials (RCTs), were included. They were published between December 2012 and November 2017. The median score and interquartile range of methodological and reporting quality was 7 (6-8) and 22 (19.1-27.1). Serious methodological flaws existed in the following aspects: the status of publication (22.5%), a list of studies provided (0%), assessment of publication bias (37.5%), and conflicts of interest (12.5%). Several items need to be improved in reporting, especially for Protocol and registration (2.5%), Data items (22.5%), Risk of bias across studies (Methods section) (37.5%), Results of individual studies (27.5%), Risk of bias across studies (Results section) (40%), Results of additional analyses (35%), and Funding (15%).

conclusionsThe methodological and reporting quality of NMAs in TCM is moderate. Identified shortcomings of published NMAs should be taken into consideration in further trainings of authors and editors of NMAs in TCM. Future researchers should be encouraged to apply PRISMA-NMA, and a recognized tool for the assessment of NMA methodology was wanted.

Indexed as

Medicine, Chinese TraditionalNetwork Meta-Analysis as TopicResearch ReportClinical ProtocolsConflict of InterestHumansPublication BiasPublicationsRegistriesResearch Support as TopicSystematic Reviews as Topic

Identifiers

PMID30461607
PMCPMC6392701

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.