Evidence map›Paper›PMID 21842324›Full record

ArticleJournal of general internal medicine2011

Endpoint selection and relative (versus absolute) risk reporting in published medication trials.

Michael Hochman, Danny McCormick

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Outcomes, outcomes, every where, nor any stop to think?Journal of general internal medicine · 2011
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Michael HochmanThe Robert Wood Johnson Clinical Scholars® Program, University of California, Los Angeles, USA. Meh1979@gmail.com
Danny McCormick
Cambridge Health Alliance · USRobert Wood Johnson Foundation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of surrogate and composite endpoints, disease-specific mortality as an endpoint, and relative (rather than absolute) risk reporting in clinical trials may produce results that are misleading or difficult to interpret.

objectiveTo describe the prevalence of these endpoints and of relative risk reporting in medication trials. DESIGN AND MAIN MEASURES: We analyzed all randomized medication trials published in the six highest impact general medicine journals between June 1, 2008 and September 30, 2010 and determined the percentage using these endpoints and the percentage reporting results in the abstract exclusively in relative terms. KEY

resultsWe identified 316 medication trials, of which 116 (37%) used a surrogate primary endpoint and 106 (34%) used a composite primary endpoint. Among 118 trials in which the primary endpoint involved mortality, 32 (27%) used disease-specific mortality rather than all-cause mortality. Among 157 trials with positive results, 69 (44%) reported these results in the abstract exclusively in relative terms. Trials using surrogate endpoints and disease-specific mortality as an endpoint were more likely to be exclusively commercially funded (45% vs. 29%, difference 15% [95% CI 5%-26%], P = 0.004, and 39% vs. 16%, difference 22% [95% CI 6%-37%], P = 0.007, respectively). Trials using surrogate endpoints were more likely to report positive results (66% vs. 49%, difference 17% [95% CI 5%-28%], P = 0.006) while those using mortality endpoints were less likely to be positive (46% vs. 62%, difference -16% [95% CI -27%--4%], P = 0.01).

conclusionsThe use of surrogate and composite endpoints, endpoints involving disease-specific mortality, and relative risk reporting is common. Articles should highlight the limitations of these endpoints and should report results in absolute terms.

Indexed as

Data Interpretation, StatisticalResearch DesignRiskConfidence IntervalsEndpoint DeterminationEvidence-Based MedicineHumansJournalism, MedicalPublishingRisk Reduction Behavior

Identifiers

PMID21842324
PMCPMC3208473
OpenAlexW1972249949

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.