Evidence map›Paper›PMID 33558615›Full record

ArticleScientific reports2021

Insufficient transparency of statistical reporting in preclinical research: a scoping review.

Romain-Daniel Gosselin

Abstract readScoping Review
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
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  10. How to write statistical analysis section in medical research.Journal of investigative medicine : the official publication of the American Federation for Clinical Research · 2022
    Article
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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

1 author.

Romain-Daniel GosselinPrecision Medicine Unit, Lausanne University Hospital, Chemin des Roches 1a/1b, 1010, Lausanne, Switzerland. Romain-Daniel.Gosselin@chuv.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-transparent statistical reporting contributes to the reproducibility crisis in life sciences, despite guidelines and educational articles regularly published. Envisioning more effective measures for ensuring transparency requires the detailed monitoring of incomplete reporting in the literature. In this study, a systematic approach was used to sample 16 periodicals from the ISI Journal Citation Report database and to collect 233 preclinical articles (including both in vitro and animal research) from online journal content published in 2019. Statistical items related to the use of location tests were quantified. Results revealed that a large proportion of articles insufficiently describe tests (median 44.8%, IQR [33.3-62.5%], k = 16 journals), software (31%, IQR [22.3-39.6%]) or sample sizes (44.2%, IQR [35.7-55.4%]). The results further point at contradictory information as a component of poor reporting (18.3%, IQR [6.79-26.7%]). No detectable correlation was found between journal impact factor and the quality of statistical reporting of any studied item. The under-representation of open-source software (4.50% of articles) suggests that the provision of code should remain restricted to articles that use such packages. Since mounting evidence indicates that transparency is key for reproducible science, this work highlights the need for a more rigorous enforcement of existing guidelines.

Identifiers

PMID33558615
PMCPMC7870941

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.