Literature DB >> 18797413

Reporting of multivariable methods in the medical literature.

Jeanette M Tetrault1, Maor Sauler, Carolyn K Wells, John Concato.   

Abstract

BACKGROUND: Multivariable models are frequently used in the medical literature, but many clinicians have limited training in these analytic methods. Our objective was to assess the prevalence of multivariable methods in medical literature, quantify reporting of methodological criteria applicable to most methods, and determine if assumptions specific to logistic regression or proportional hazards analysis were evaluated.
METHODS: We examined all original articles in Annals of Internal Medicine, British Medical Journal, Journal of the American Medical Association, Lancet, and New England Journal of Medicine, from January through June 2006. Articles reporting multivariable methods underwent a comprehensive review; reporting of methodological criteria was based on each article's primary analysis.
RESULTS: Among 452 articles, 272 (60%) used multivariable analysis; logistic regression (89 [33%] of 272) and proportional hazards (76 [28%] of 272) were most prominent. Reporting of methodological criteria, when applicable, ranged from 5% (12/265) for assessing influential observations to 84% (222/265) for description of variable coding. Discussion of interpreting odds ratios occurred in 13% (12/89) of articles reporting logistic regression as the primary method and discussion of the proportional hazards assumption occurred in 21% (16/76) of articles using Cox proportional hazards as the primary method.
CONCLUSIONS: More complete reporting of multivariable analysis in the medical literature can improve understanding, interpretation, and perhaps application of these methods.

Mesh:

Year:  2008        PMID: 18797413     DOI: 10.2310/JIM.0b013e31818914ff

Source DB:  PubMed          Journal:  J Investig Med        ISSN: 1081-5589            Impact factor:   2.895


  4 in total

Review 1.  Reporting methods in studies developing prognostic models in cancer: a review.

Authors:  Susan Mallett; Patrick Royston; Susan Dutton; Rachel Waters; Douglas G Altman
Journal:  BMC Med       Date:  2010-03-30       Impact factor: 8.775

2.  Improper reporting of multivariable logistic regression.

Authors:  Rajeev Kumar
Journal:  Indian J Psychol Med       Date:  2014-01

3.  Predictive value of the age, creatinine, and ejection fraction score in patients with myocardial infarction with nonobstructive coronary arteries.

Authors:  Side Gao; Wenjian Ma; Sizhuang Huang; Xuze Lin; Mengyue Yu
Journal:  Clin Cardiol       Date:  2021-06-01       Impact factor: 2.882

4.  Poor quality in the reporting and use of statistical methods in public health - the case of unemployment and health.

Authors:  Fredrik Norström
Journal:  Arch Public Health       Date:  2015-11-16
  4 in total

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