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Underlying cause of death as recorded for multiple sclerosis patients: Associated factors

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1983Publisher:Elsevier BVJournal:Journal of Chronic Diseases, volume 36, pages 699-705 (issn: 0021-9681,

Authors: Roger Detels; Roberta M. Malmgren; Virginia A. Clark; Jan P. Dudley; Nora L. Valdiviezo; Marianne Fukumoto; Barbara R. Visscher;

doi: 10.1016/0021-9681(83)90163-7

pmid: 6226674

Underlying cause of death as recorded for multiple sclerosis patients: Associated factors

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Abstract

The coding of multiple sclerosis (MS) as underlying cause of death (UCD) on the death certificate provides an important epidemiologic resource for both descriptive and analytic studies. However, not all deaths among MS patients will be so coded. We investigated the effect on estimated occurrence of MS and on characteristics of MS patients when only UCD codes are used to identify cases. Of 2329 MS patients living in Los Angeles County (California) or King/Pierce Counties (Washington) in 1970, 438 had died by 1980. Only 53% of the deaths were coded to MS; 47% were attributed to other causes. Based on our comparisons, the use of only MS-coded deaths to describe decedents would: underestimate the age at MS onset; overestimate the female:male ratio; underestimate age at death; and underestimate duration of MS. Also, the percentage of MS-coded deaths decreased with lengthening duration of follow-up of these prevalent cases. The effect of using only UCD codes to report characteristics of decedents with other chronic diseases may well be similar.

Related Organizations

University of Chicago
United States
University of California, Los Angeles
United States

Keywords

Adult, Male, Washington, Persons with Disabilities, Multiple Sclerosis, Age Factors, Middle Aged, California, Death Certificates, Humans, Female, Follow-Up Studies

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	33
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average