Evidence map›Paper›PMID 19929962›Full record

ArticleHealth services research2010

Assessing Heterogeneity of Treatment Effects: Are Authors Misinterpreting Their Results?

Erik Fernandez Y Garcia, Hien Nguyen, Naihua Duan, Nicole B Gabler, Richard L Kravitz

Abstract read
In one paragraph

Article in Health services research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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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.

Erik Fernandez Y GarciaDepartment of Pediatrics, University of California-Davis, School of Medicine, 2516 Stockton Blvd., Ste. 341, Sacramento, CA 95817.
Hien Nguyen
Naihua Duan
Nicole B Gabler
Richard L Kravitz

Funding

UC DAVIS CLINICAL AND TRANSLATIONAL SCIENCE CENTER: BPCAUL1RR024146 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2006 to 2011
$27.0M
NCRR NIH HHS UL1 RR024146PHS HHS D55 HP00232
6 · The paper itself

Abstract

objectiveTo determine whether investigations of heterogeneity of treatment effects (HTE) in randomized-controlled trials (RCTs) are prespecified and whether authors' interpretations of their analyses are consistent with the objective evidence. DATA SOURCES/STUDY

settingTrials published in Annals of Internal Medicine, British Medical Journal, Journal of the American Medical Association, Lancet, and New England Journal of Medicine in 1994, 1999, and 2004. STUDY

designWe reviewed 87 RCTs that reported formal tests for statistical interaction or heterogeneity (HTE analyses), derived from a probability sample of 541 articles. DATA COLLECTION/EXTRACTION: We recorded reasons for performing HTE analysis; an objective classification of evidence for HTE (termed "clinicostatistical divergence" [CSD]); and authors' interpretations of findings. Authors' interpretations, compared with CSD, were coded as understated, overstated, or adequately stated. PRINCIPLE

findingsFifty-three RCTs (61 percent) claimed prespecified covariates for HTE analyses. Trials showed strong (6), moderate (11), weak (25), or negligible (16) evidence for CSD (29 could not be classified due to inadequate information). Authors stated that evidence for HTE was sufficient to support differential treatment in subgroups (10); warranted more research (31); was absent (21); or provided no interpretation (25). HTE was overstated in 22 trials, adequately stated in 57 trials, and understated in 8 trials.

conclusionsInconsistencies in performance and reporting may limit the potential of HTE analysis as a tool for identifying HTE and individualizing care in diverse populations. Recommendations for future studies on the reporting and interpretation of HTE analyses are provided.

Indexed as

Treatment OutcomeData Interpretation, StatisticalHumansRandomized Controlled Trials as Topic

Identifiers

PMID19929962
PMCPMC2813449

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.