Evidence map›Paper›PMID 32463469›Full record

ArticleJAMA network open2020

Assessment of Language and Indexing Biases Among Chinese-Sponsored Randomized Clinical Trials.

Yuanxi Jia, Doudou Huang, Jiajun Wen, Yehua Wang, Lori Rosman, Qingkun Chen, Karen A Robinson, Joel J Gagnier, Stephan Ehrhardt, David D Celentano

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 6 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

17 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  4. Time to publication for results of clinical trials.The Cochrane database of systematic reviews · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Yuanxi JiaBloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Doudou HuangBloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Jiajun WenBloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Yehua WangBloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
Lori RosmanWelch Medical Library, The Johns Hopkins University, Baltimore, Maryland.
Qingkun ChenInstitute of Information and Medical Library, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Karen A RobinsonDepartment of Medicine, School of Medicine, The Johns Hopkins University, Baltimore, Maryland.
Joel J GagnierMichigan Medicine, School of Public Health, University of Michigan, Ann Arbor.
Stephan EhrhardtBloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.
David D CelentanoBloomberg School of Public Health, The Johns Hopkins University, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Language and indexing biases may exist among Chinese-sponsored randomized clinical trials (CS-RCTs). Such biases may threaten the validity of systematic reviews. Objective: To evaluate the existence of language and indexing biases among CS-RCTs on drug interventions. Design, Setting, and Participants: In this retrospective cohort study, eligible CS-RCTs were retrieved from trial registries, and bibliographic databases were searched to determine their publication status. Eligible CS-RCTs were for drug interventions conducted from January 1, 2008, to December 31, 2014. The search and analysis were conducted from March 1 to August 31, 2019. Primary trial registries were recognized by the World Health Organization and the Drug Clinical Trial Registry Platform sponsored by the China Food and Drug Administration. Exposures: Individual CS-RCTs with positive vs negative results (positive vs negative CS-RCTs). Main Outcomes and Measures: For assessing language bias, the main outcome was the language of the journal in which CS-RCTs were published (English vs Chinese). For indexing bias, the main outcome was the language of the bibliographic database where the CS-RCTs were indexed (English vs Chinese). Results: The search identified 891 eligible CS-RCTs. Four hundred seventy CS-RCTs were published by August 31, 2019, of which 368 (78.3%) were published in English. Among CS-RCTs registered in the Chinese Clinical Trial Registry (ChiCTR), positive CS-RCTs were 3.92 (95% CI, 2.20-7.00) times more likely to be published in English than negative CS-RCTs; among CS-RCTs in English-language registries, positive CS-RCTs were 3.22 (95% CI, 1.34-7.78) times more likely to be published in English than negative CS-RCTs. These findings suggest the existence of language bias. Among CS-RCTs registered in ChiCTR, positive CS-RCTs were 2.89 (95% CI, 1.55-5.40) times more likely to be indexed in English bibliographic databases than negative CS-RCTs; among CS-RCTs in English-language registries, positive CS-RCTs were 2.19 (95% CI, 0.82-5.82) times more likely to be indexed in English bibliographic databases than negative CS-RCTs. These findings support the existence of indexing bias. Conclusions and Relevance: This study suggests the existence of language and indexing biases among registered CS-RCTs on drug interventions. These biases may distort evidence synthesis toward more positive results of drug interventions.

Indexed as

BiasDrug TherapyLanguageChinaDatabases, BibliographicHumansNegative ResultsPeriodicals as TopicPublication BiasRandomized Controlled Trials as TopicRegistriesRetrospective Studies

Identifiers

PMID32463469
PMCPMC7256669

What OpenQuestion holds

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LicenceCC BY
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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.