Evidence map›Paper›PMID 35331655›Full record

ArticleBrazilian journal of otorhinolaryngology

Potential effects of lowering the threshold of statistical significance in the field of chronic rhinosinusitis - A meta-research on published randomized controlled trials over last decade.

Pooja Thakur, Vivek Jha

Abstract read
In one paragraph

Article in Brazilian journal of otorhinolaryngology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Pooja ThakurMaharishi Markandeshwar Medical College and Hospital, Department of Otorhinolaryngology and Head & Neck Surgery, Solan, India. Electronic address: dr.poojathakur11@gmail.com.
Vivek JhaMaharishi Markandeshwar Medical College and Hospital, Department of Orthopaedics, Solan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the impact of change in p-value threshold from 0.05 to 0.005, on published Randomized Controlled Trials (RCTs) over the last ten years in the field of chronic rhinosinusitis.

methodsA search of the PubMed database from 1st January 2011 to 31st December 2020 was conducted to include all RCTs that used p-value to determine the effects of an intervention. Data extracted included p-values, type of intervention, publishing journal with indexing, registration, funding, and multi- or single center status. The proportion of primary endpoints having p < 0.005 was determined first, followed by those with p > 0.005 but <0.05. Logistic regression analysis was used to determine if any trial characteristic was associated with reporting of significant p-values.

resultsIn total, 168 primary endpoints were identified from 123 RCTs. On analysis, 80 had a p-value <0.05, i.e., statistically significant on conventional parameter. Out of these, 53.75% had a p-value <0.005, which would retain significance under the proposed threshold, and the remaining 46.25% to be reclassified as "suggestive". None of the trial characteristics were contributing to reporting of conventional or proposed p-values on logistic regression analysis.

conclusionLowering the p-value threshold would render 46.25% of a decade of published RCTs results (in the field of CRS) to be reclassified as merely "suggestive" and not significant. Trial characteristics were not found contributing to reporting of p-value <0.005 or even <0.05. LEVEL OF EVIDENCE: II.

Indexed as

SinusitisChronic DiseaseHumansRandomized Controlled Trials as TopicClinical trialsPubMedRandomized controlled trialSinusitis

Identifiers

PMID35331655
PMCPMC9801036

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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.