Evidence map›Paper›PMID 32130654›Full record

ArticleIndian journal of gastroenterology : official journal of the Indian Society of Gastroenterology2020

Lowering the threshold of statistical significance in gastroenterology trials.

Corbin Walters, Chase Meyer, Ian Fladie, Cole Wayant, Matt Vassar

Abstract read
PubMed Publisher
In one paragraph

Article in Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Corbin WaltersDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, 1111 West 17th Street, Tulsa, OK, 74107, USA. corbin.walters10@okstate.edu.ORCID 0000-0002-8600-6096
Chase MeyerDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, 1111 West 17th Street, Tulsa, OK, 74107, USA.
Ian FladieDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, 1111 West 17th Street, Tulsa, OK, 74107, USA.
Cole WayantDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, 1111 West 17th Street, Tulsa, OK, 74107, USA.
Matt VassarDepartment of Institutional Research, Oklahoma State University Center for Health Sciences, 1111 West 17th Street, Tulsa, OK, 74107, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multidisciplinary international cohort of 72 expert statisticians and researchers recently proposed lowering the p value threshold from 0.05 to 0.005 to mitigate distortion of trial results and decrease bias. We hereby explored how a change to the p value threshold may alter the statistical significance of primary endpoints in gastroenterology (GE) randomized control trials (RCTs). We analyzed RCTs published in the 20 highest ranked GE and medicine journals. For each trial, we extracted the p values for the corresponding primary endpoints. We retrieved 233 RCTs, of which 159 were included in the final analysis yielding 202 primary endpoints. Of these endpoints, 60% had a p value less than 0.05 and when a threshold of less than 0.005 was applied, approximately 50% retained significance. We endorse a lower p value threshold as an actionable, provisional measure for improving statistical inference in GE RCTs until more long-term solutions become available.

Indexed as

GastroenterologyClinical Trials as TopicHumansCross-sectional analysisGastroenterologyp valueStatistics

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.