Evidence map›Paper›PMID 38835136›Full record

ReviewKorean journal of anesthesiology2024

Alternatives to the P value: connotations of significance.

Junyong In, Dong Kyu Lee

Abstract readReview
In one paragraph

Review in Korean journal of anesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Development and Validation of two Bronchoscopy Knowledge Assessments.Respiration; international review of thoracic diseases · 2025
    Article
  9. 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.

Junyong InDepartment of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea.
Dong Kyu LeeDepartment of Anesthesiology and Pain Medicine, Dongguk University Ilsan Hospital, Goyang, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The statistical significance of a clinical trial analysis result is determined by a mathematical calculation and probability based on null hypothesis significance testing. However, statistical significance does not always align with meaningful clinical effects; thus, assigning clinical relevance to statistical significance is unreasonable. A statistical result incorporating a clinically meaningful difference is a better approach to present statistical significance. Thus, the minimal clinically important difference (MCID), which requires integrating minimum clinically relevant changes from the early stages of research design, has been introduced. As a follow-up to the previous statistical round article on P values, confidence intervals, and effect sizes, in this article, we present hands-on examples of MCID and various effect sizes and discuss the terms statistical significance and clinical relevance, including cautions regarding their use.

Indexed as

Minimal Clinically Important DifferenceClinical Trials as TopicConfidence IntervalsData Interpretation, StatisticalHumansProbabilityResearch DesignClinical relevanceClinical significanceConfidence intervalsEffect sizeMinimal clinically important differencePatient outcome assessmentP value

Identifiers

PMID38835136
PMCPMC11150123

What OpenQuestion holds

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LicenceCC BY-NC
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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.