Evidence map›Paper›PMID 21738786›Full record

ArticlePloS one2011

Validation of case-finding algorithms derived from administrative data for identifying adults living with human immunodeficiency virus infection.

Tony Antoniou, Brandon Zagorski, Mona R Loutfy, Carol Strike, Richard H Glazier

Abstract readValidation Study
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
–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

99 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Uptake of prenatal syphilis screening and its determinants in Ontario, Canada: a population-based retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2026
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  19. Validation of algorithms to identify human immunodeficiency virus cases using administrative data in Manitoba.Canadian journal of public health = Revue canadienne de sante publique · 2025
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39 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tony AntoniouLeslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada. tantoniou@smh.toronto.on.ca
Brandon Zagorski
Mona R Loutfy
Carol Strike
Richard H Glazier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe sought to validate a case-finding algorithm for human immunodeficiency virus (HIV) infection using administrative health databases in Ontario, Canada.

methodsWe constructed 48 case-finding algorithms using combinations of physician billing claims, hospital and emergency room separations and prescription drug claims. We determined the test characteristics of each algorithm over various time frames for identifying HIV infection, using data abstracted from the charts of 2,040 randomly selected patients receiving care at two medical practices in Toronto, Ontario as the reference standard.

resultsWith the exception of algorithms using only a single physician claim, the specificity of all algorithms exceeded 99%. An algorithm consisting of three physician claims over a three year period had a sensitivity and specificity of 96.2% (95% CI 95.2%-97.9%) and 99.6% (95% CI 99.1%-99.8%), respectively. Application of the algorithm to the province of Ontario identified 12,179 HIV-infected patients in care for the period spanning April 1, 2007 to March 31, 2009.

conclusionsCase-finding algorithms generated from administrative data can accurately identify adults living with HIV. A relatively simple "3 claims in 3 years" definition can be used for assembling a population-based cohort and facilitating future research examining trends in health service use and outcomes among HIV-infected adults in Ontario.

Indexed as

AlgorithmsCanadaDatabases, FactualHIV InfectionsHumansOntario

Identifiers

PMID21738786
PMCPMC3128093

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.