Evidence map›Paper›PMID 34991473›Full record

ArticleBMC medical research methodology2022

The impact of lookback windows on the prevalence and incidence of chronic diseases among people living with HIV: an exploration in administrative health data in Canada.

Ni Gusti Ayu Nanditha, Xinzhe Dong, Taylor McLinden, Paul Sereda, Jacek Kopec, Robert S Hogg, Julio S G Montaner, Viviane D Lima

Abstract read
In one paragraph

Article in BMC medical research methodology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

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  10. 20-year trends in excess costs of COPD.The European respiratory journal · 2025
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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

8 authors.

Ni Gusti Ayu NandithaBritish Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
Xinzhe DongBritish Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
Taylor McLindenBritish Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
Paul SeredaBritish Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
Jacek KopecArthritis Research Canada, Richmond, BC, Canada.
Robert S HoggBritish Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
Julio S G MontanerBritish Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada.
Viviane D LimaBritish Columbia Centre for Excellence in HIV/AIDS, 608-1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada. vlima@bccfe.ca.

Funding

CIHR PJT-148595
6 · The paper itself

Abstract

backgroundWe described the impact of different lengths of lookback window (LW), a retrospective time period to observe diagnoses in administrative data, on the prevalence and incidence of eight chronic diseases.

methodsOur study populations included people living with HIV (N = 5151) and 1:5 age-sex-matched HIV-negative individuals (N = 25,755) in British Columbia, Canada, with complete follow-up between 1996 and 2012. We measured period prevalence and incidence of diseases in 2012 using LWs ranging from 1 to 16 years. Cases were deemed prevalent if identified in 2012 or within a defined LW, and incident if newly identified in 2012 with no previous cases detected within a defined LW. Chronic disease cases were ascertained using published case-finding algorithms applied to population-based provincial administrative health datasets.

resultsOverall, using cases identified by the full 16-year LW as the reference, LWs ≥8 years and ≥ 4 years reduced the proportion of misclassified prevalent and incidence cases of most diseases to < 20%, respectively. The impact of LWs varied across diseases and populations.

conclusionsThis study underscored the importance of carefully choosing LWs and demonstrated data-driven approaches that may inform these choices. To improve comparability of prevalence and incidence estimates across different settings, we recommend transparent reporting of the rationale and limitations of chosen LWs.

Indexed as

HIV InfectionsBritish ColumbiaChronic DiseaseCohort StudiesHumansIncidencePrevalenceRetrospective StudiesAdministrative health dataBiasComorbiditiesHIVIncidenceLookback windowPrevalence

Identifiers

PMID34991473
PMCPMC8734246

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LicenceCC BY
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Registered trials

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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.