Evidence map›Paper›PMID 26344061›Full record

ArticleHIV medicine2016

Hospitalisation rates and associated factors in community-based cohorts of HIV-infected and -uninfected gay and bisexual men.

C L Moore, A E Grulich, G Prestage, H F Gidding, F Jin, L Mao, K Petoumenos, I B Zablotska, I M Poynten, M G Law and 1 more

Open access · bronzeAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in HIV medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

11 authors at 2 institutions in 1 country.

C L MooreThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
A E GrulichThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
G PrestageThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
H F GiddingSchool of Public Health and Community Medicine, University of New South Wales, Sydney, NSW, Australia.
F JinThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
L MaoCentre for Social Research in Health, University of New South Wales, Sydney, NSW, Australia.
K PetoumenosThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
I B ZablotskaThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
I M PoyntenThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
M G LawThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
J AminThe Kirby Institute, University of New South Wales, Sydney, NSW, Australia.
UNSW Sydney · AULa Trobe University · AU

Funding

HIV Vaccine Design and Development Teams-26605395N01AI005395 · NIAID · UNIVERSITY OF NEW SOUTH WALES · 2000 to 2004
$3.2M
NIAID NIH HHS N01 AI005395
6 · The paper itself

Abstract

objectivesThere is evidence that HIV-positive patients are suffering from a greater burden of morbidity as they age due to nonAIDS-related complications. To date it has been difficult to determine what part of this excess risk is due to the health effects of HIV, its treatment or to lifestyle factors common to gay and bisexual men (GBM). We calculated overall and cause-specific hospitalisation rates and risk factors for hospitalisations in HIV-negative and HIV-positive cohorts of GBM and compare these with rates in the general male population.

methodsWe conducted a record linkage study, linking two cohorts of HIV-negative (n = 1325) and HIV-positive (n = 557) GBM recruited in Sydney, New South Wales (NSW), Australia with the NSW hospital discharge data register. We compared rates of hospitalisation in the two cohorts and risk factors for hospitalisation using random-effects Poisson regression methods. Hospitalisation rates for each cohort were further compared with those in the general male population using indirect standardisation.

resultsWe observed 2032 hospitalisations in the HIV-negative cohort during 13,016 person-years (PYs) [crude rate: 15.6/100 PYs (95% CI: 14.9-16.3)] and 2130 hospitalisations in the HIV-positive cohort during 5571 PYs [crude rate: 38.2/100 PYs (95% CI: 36.6-39.9)]. HIV-positive individuals had an increased risk of hospitalisation compared with the HIV-negative individuals [adjusted-IRR: 2.34 (95% CI: 1.91-2.86)] and the general population [SHR: 1.45 (95% CI: 1.33-1.59)]. Hospitalisation rates were lower in the HIV-negative cohort compared with the general population [SHR: 0.72 (95% CI: 0.67-0.78)]. The primary causes of hospitalisation differed between groups.

conclusionsHIV-positive GBM continue to experience excess morbidity compared with HIV-negative GBM men and the general population. HIV-negative GBM had lower morbidity compared with the general male population suggesting that GBM identity does not confer excess risk.

Indexed as

AdultAustraliaBisexualityCohort StudiesComorbidityHIV InfectionsHomosexuality, MaleHospitalizationHumansMaleMiddle AgedRegression AnalysisRisk Factorscohort studiesHIVhomosexualityhospitalisationmedical record linkage

Identifiers

PMID26344061
PMCPMC4779743
OpenAlexW1830044617

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.