Literature DB >> 222078

The Berkson bias in action.

H O Conn, N Snyder, C E Atterbury.   

Abstract

Thirty years ago Berkson recognized that differences in selection rates of different diseases for admission to the hospital will systematically change the frequency with which those diseases co-exist in hospitalized patients from the frequency rate in the general population. Mainland subsequently demonstrated that postmortem studies systematically show a lower co-morbidity rate for any two individually lethal diseases than would be expected from the individual prevalence of these diseases. In studying the concurrence of bacterial endocarditis and cirrhosis, we examined the relationship of these diseases at autopsy where, according to this concept, we would expect a negative association. We found the frequency of bacterial endocarditis to be three times greater in cirrhotic than in non-cirrhotic patients, a statistically significant difference that was even more convincing, since a negative correlation was anticipated. In accord with the Berkson-Mainland hypothesis, however, no such association was seen between bacterial endocarditis and either emphysema or myocardial infarction, two other chronic diseases of different lethality. Similarly, glioblastoma multiforme, a brain tumor with a high mortality rate, showed a negative correlation with cirrhosis, emphysema, and myocardial infarction. A corollary of this bias-that the mean age at death should be lower in patients dying with two lethal diseases than in patients dying of either disease alone-was supported by our study. This investigation provides evidence to validate the Berkson-Mainland hypothesis, and suggests that rather than being always an adverse bias, it may be used beneficially to document the validity of the increased co-existence of diseases at autopsy.

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Year:  1979        PMID: 222078      PMCID: PMC2595708     

Source DB:  PubMed          Journal:  Yale J Biol Med        ISSN: 0044-0086


  5 in total

1.  The incidence of myocardial infarction in portal cirrhosis.

Authors:  W C GRANT; F WASSERMAN; P L RODENSKY; R V THOMSON
Journal:  Ann Intern Med       Date:  1959-10       Impact factor: 25.391

2.  The low incidence of myocardial infarction in patients with portal cirrhosis of the liver: A review of 639 cases of cirrhosis of the liver from 17,731 autopsies.

Authors:  W L HOWELL; W C MANION
Journal:  Am Heart J       Date:  1960-09       Impact factor: 4.749

3.  The risk of fallacious conclusions from autopsy data on the incidence of diseases with applications to heart disease.

Authors:  D MAINLAND
Journal:  Am Heart J       Date:  1953-05       Impact factor: 4.749

4.  The low incidence of myocardial infarction in hepatic cirrhosis. A statistical artefact?

Authors:  B H RUEBNER; K MIYAI; H ABBEY
Journal:  Lancet       Date:  1961-12-30       Impact factor: 79.321

5.  An empirical demonstration of Berkson's bias.

Authors:  R S Roberts; W O Spitzer; T Delmore; D L Sackett
Journal:  J Chronic Dis       Date:  1978-02
  5 in total
  3 in total

1.  Computing disease incidence, prevalence and comorbidity from electronic medical records.

Authors:  Steven C Bagley; Russ B Altman
Journal:  J Biomed Inform       Date:  2016-08-04       Impact factor: 6.317

2.  Medical conditions in autism spectrum disorders.

Authors:  Patrick F Bolton
Journal:  J Neurodev Disord       Date:  2009-07-07       Impact factor: 4.025

3.  Association between polymorphisms in the CYP1A1, CYP2E1 and GSTM1 genes, and smoking, alcohol and upper digestive tract carcinomas in a high-incidence area of northern China.

Authors:  Fang Zhao; Jing-Fen Su; Shu-Min Lun; Yong-Jie Hou; Li-Juan Duan; Neng-Chao Wang; Fang-Fang Shen; Yao-Wen Zhang; Zhao-Wei Gao; Jing Li; Xian-Juan Du; Fu-You Zhou
Journal:  Oncol Lett       Date:  2019-06-07       Impact factor: 2.967

  3 in total

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