Evidence map›Paper›PMID 20386308›Full record

ArticleCritical care medicine2010

Age-, sex-, and race-based differences among patients enrolled versus not enrolled in acute lung injury clinical trials.

Colin R Cooke, Sara E Erickson, Timothy R Watkins, Michael A Matthay, Leonard D Hudson, Gordon D Rubenfeld

Abstract read
In one paragraph

Article in Critical care medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. BMJ open · 2023
    Article
  7. Article
  8. Aging Influences the Metabolic and Inflammatory Phenotype in an Experimental Mouse Model of Acute Lung Injury.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  9. Article
  10. Pathways, Contributors, and Correlates of Functional Limitation Across Specialties: Workshop Summary.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Review
  11. Observational
  12. Article
  13. Article
  14. Trends in Consent for Clinical Trials in Cardiovascular Disease.Journal of the American Heart Association · 2016
    Review
  15. Article
  16. Healthcare disparities in critical illness.Critical care medicine · 2013
    Review
  17. Article
  18. Randomized trials in emergency medicine journals, 2008 to 2011.The American journal of emergency medicine · 2013
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Colin R CookeDivision of Pulmonary & Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA. crcooke@umich.edu
Sara E Erickson
Timothy R Watkins
Michael A Matthay
Leonard D Hudson
Gordon D Rubenfeld

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalKL2TR000455 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$2.9M
Atlanta Clinical and Translational Science Institute (KL2)KL2RR025009 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$2.9M
CCTG CLINICAL NETWORK FOR ARDS TREATMENT--CRITICAL CAREN01HR046055 · HR · UNIVERSITY OF WASHINGTON · PI HUDSON, LEONARD D · 1994 to 2000
$468k
NCATS NIH HHS KL2 TR000455NCATS NIH HHS UL1 TR000454NCRR NIH HHS KL2 RR025009NCRR NIH HHS UL1 RR025008NHLBI NIH HHS N01 HR046055
6 · The paper itself

Abstract

objectiveLittle is known about the participation of racial/ethnic minorities, women, and the elderly into critical care clinical trials. We sought to characterize the representation of racial and ethnic minorities, women, and older patients in clinical trials of patients with acute lung injury and to determine the reasons for nonenrollment. DESIGN, SETTING, AND PATIENTS: We performed a cross-sectional analysis of pooled screening logs from 44 academic hospitals participating in three multicentered, randomized, controlled trials conducted by the Acute Respiratory Distress Syndrome Network from 1996 to 2005.

interventionsNone. MEASUREMENTS AND MAIN

resultsWe calculated odds ratios of enrollment for age, sex, racial groups, and the odds ratio for the presence of each exclusion criterion by age, sex, and race adjusted for demographics, acute lung injury risk factor, study, and study center. A total of 10.4% of 17,459 screened patients with acute lung injury were enrolled. The median (range) enrollment by center was 15% (2% to 88%). Older patients of both sexes were less likely to be enrolled, but older women were more likely to be enrolled than older men. The adjusted odds ratio (95% confidence interval) for enrollment among men > or =75 yrs of age was 0.59 (0.45 to 0.77) and for women > or =75 yrs of age was 0.45 (0.32 to 0.62) compared with men <35 yrs of age. There were no differences in the likelihood of enrollment among all racial/ethnic groups. Older patients and men were less likely to be enrolled because of medical comorbidity. Among all patients who were not enrolled, black patients and their families refused participation more often than white patients.

conclusionsOlder patients are less likely to be enrolled in acute lung injury clinical trials. There is no evidence that women or racial/ethnic minorities are underrepresented in acute lung injury clinical trials.

Indexed as

Patient SelectionRandomized Controlled Trials as TopicAcute Lung InjuryAdultAgedAge FactorsCross-Sectional StudiesEthnicityFemaleHumansMaleMiddle AgedMinority GroupsMulticenter Studies as TopicSex FactorsWhite People

Identifiers

PMID20386308
PMCPMC3799957

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.