Evidence map›Paper›PMID 35091046›Full record

ArticleJournal of clinical epidemiology2022

Identification of threshold for large (dramatic) effects that would obviate randomized trials is not possible.

Iztok Hozo, Benjamin Djulbegovic, Austin J Parish, John P A Ioannidis

Abstract read
In one paragraph

Article in Journal of clinical epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

Iztok HozoDepartment of Mathematics, Indiana University Northwest, Gary, IN.
Benjamin DjulbegovicBeckman Research Institute, City of Hope Institution, Duarte, CA; Department of Computational and Quantitative Medicine, City of Hope Institution, Duarte, CA; Division of Health Analytics; Evidence-based Medicine and Comparative Effectiveness Research, 1500 East Duarte Road, Duarte, CA. Electronic address: bdjulbegovic@coh.org.
Austin J ParishMeta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA; Department of Emergency Medicine, Lincoln Medical Center, Bronx, New York.
John P A IoannidisMeta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA; Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, California; Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, California; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, Department of Statistics, Stanford University School of Humanities and Sciences, Stanford, CA.

Funding

Treatment Success and Ethical Principle of EquipoiseR01CA140408 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI DJULBEGOVIC, BENJAMIN · 2009 to 2010
$631k
Quality of Research on Treatment Harms in CancerR01CA133594 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI DJULBEGOVIC, BENJAMIN · 2007 to 2008
$539k
Evaluation of the Quality of Clinical TrialsR01NS052956 · NINDS · H. LEE MOFFITT CANCER CTR &RES INST · PI DJULBEGOVIC, BENJAMIN · 2005 to 2006
$445k
NCI NIH HHS R01 CA133594NCI NIH HHS R01 CA140408NINDS NIH HHS R01 NS052956
6 · The paper itself

Abstract

objectiveTo analyze distribution of "dramatic", large treatment effects. STUDY DESIGN &

settingPareto distribution modeling of previously reported cohorts of 3,486 randomized trials (RCTs) that enrolled 1,532,459 patients and 730 non-randomized studies (NRS) enrolling 1,650,658 patients.

resultsWe calculated the Pareto α parameter, which determines the tail of the distribution for various starting points of distribution [odds ratio

conclusionsThe effects sizes observed in RCTs and NRS considerably overlap. Large effects are rare and there is no clear threshold for dramatic effects that would obviate future RCTs.

Indexed as

Randomized Controlled Trials as TopicHumansOdds RatioFDAlarge or dramatic treatment effectsmethodologyobservational studiesrandomized trialsstatistical modeling

Identifiers

PMID35091046
PMCPMC9232885

What OpenQuestion holds

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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.