Evidence map›Paper›PMID 42582874›Full record

ArticleSignificance (Oxford, England)2022

Randomisation can do many things - but it cannot "fail".

Arthur H Owora, John Dawson, Gary Gadbury, Luis M Mestre, Greg Pavela, Tapan Mehta, Colby J Vorland, Pengcheng Xun, David B Allison

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Significance (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Causal models and causal modelling in obesity: foundations, methods and evidence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  3. Article
  4. Review
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

9 authors.

Arthur H Oworaassistant professor in the Department of Epidemiology and Biostatistics, Indiana University, School of Public Health-Bloomington.
John Dawsonassistant professor in the Department of Nutritional Sciences, Texas Tech University, College of Human Sciences.
Gary Gadburyprofessor emeritus in the Department of Statistics, Kansas State University, College of Arts and Sciences.
Luis M Mestreresearch assistant and PhD student in epidemiology with a minor in data science at Indiana University, School of Public Health-Bloomington.
Greg Pavelaassociate professor in the Department of Health Behavior, The University of Alabama at Birmingham, School of Public Health.
Tapan Mehtaassociate professor and director of research in the Department of Health Services Administration, The University of Alabama at Birmingham, School of Health Professions.
Colby J Vorlandpost-doctoral fellow in the Department of Applied Health Science, Indiana University, School of Public Health-Bloomington.
Pengcheng Xunassociate director of epidemiology and outcomes research at Atara Biotherapeutics, United States.
David B Allisondean, distinguished professor, and provost professor at Indiana University, School of Public Health-Bloomington.

Funding

Developing a Childhood Asthma Risk Passive Digital MarkerK01HL166436 · NHLBI · TRUSTEES OF INDIANA UNIVERSITY · PI OWORA, ARTHUR HAMIE · 2023 to 2024
$324k
NHLBI NIH HHS K01 HL166436
6 · The paper itself

Abstract

Although randomisation has long been seen as crucial to reaching reliable insights from data, it is still falling victim to some peculiar - and troublesome - misconceptions.

Identifiers

PMID42582874
PMCPMC13458891

What OpenQuestion holds

Textmetadata
LicenceTDM
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.