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Home >> Publications >> Identifying the appropriate comparison group for HIV-infected individuals.

Publication

Author(s):

Wong C, Althoff K, Gange SJ.

Pub Title:

Identifying the appropriate comparison group for HIV-infected individuals.

Pub Date:

Jul 9 2014

Journal:

Title: 
Current Opinion in HIV and AIDS
Link: 
http://ovidsp.tx.ovid.com/sp-3.12.0b/ovidweb.cgi?QS2=434f4e1a73d37e8c2cbb272d6bf28553ea89a90a78c9fd57e31addf6c5898aa6a4f0840fc6617690eb835ba2e527c2fdf1f547a429ccaa92ce66ff06fcf018d435ca5dc2c94fb27aa6952c7a6c090889ea30ae42ca6f06f6f38f8bc1ec52d86b8cd0c0470c

PubMed: 24840058
Pub PDF: PDF icon 24840058.pdf

Abstract
PURPOSE OF REVIEW:
HIV-infected individuals are living longer as a result of effective treatment. Age-related comorbidities now account for the majority of morbidity and mortality among treated HIV-infected adults. Previous findings regarding the age at, and risk of, these comorbidities have been mixed, sparking debate in the field. Discerning potential differences in the occurrence and burden of age-related comorbidities among treated HIV-infected adults as compared with uninfected adults of the same age requires careful selection of the appropriate uninfected comparison group.

RECENT FINDINGS: The validity of comparisons with HIV-uninfected populations is threatened when differences in demographic, clinical, and lifestyle characteristics between HIV-infected and uninfected adults are not considered. Identifying a pool of HIV-uninfected individuals from existing secondary data resources and employing selection methodologies may be a novel approach to reduce threats to internal validity. Issues related to identifying data sources, understanding inclusion criteria, determining measurement error, and threats to inference are discussed.

SUMMARY: The development of clinical interventions targeting age-related comorbidities will rely on deriving valid inferences from appropriate comparison groups. The use of secondary data resources and selection methodology to create the appropriate uninfected comparison group is an attractive approach in the setting of finite resources, but are not without limitations.

The following websites provide guidelines and policies when citing from PubMed®: http://www.ncbi.nlm.nih.gov/books/NBK7243/
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Citation:

Wong C, Althoff K, Gange SJ. Identifying the appropriate comparison group for HIV-infected individuals. Curr Opin HIV AIDS. 2014 Jul;9(4):379-85. doi: 10.1097/COH.0000000000000063. PubMed PMID: 24840058.