Evidence map›Paper›PMID 26185998›Full record

ArticlePloS one2015

Changing Patterns of Undiagnosed HIV Infection in the Netherlands: Who Benefits Most from Intensified HIV Test and Treat Policies?

Eline L M Op de Coul, Imke Schreuder, Stefano Conti, Ard van Sighem, Maria Xiridou, Maaike G Van Veen, Janneke C M Heijne

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Article
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  7. Article
  8. Are Opportunities Being Missed? Burden of HIV, STI and TB, and Unawareness of HIV among African Migrants.International journal of environmental research and public health · 2019
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  9. Article
  10. Article
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  13. People living with undiagnosed HIV infection and a low CD4 count: estimates from surveillance data, Italy, 2012 to 2014.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2018
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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

7 authors.

Eline L M Op de CoulCentre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Imke SchreuderCentre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands; Department of ViroScience, Erasmus Medical Centre, Rotterdam, the Netherlands.
Stefano ContiStatistics, Modelling and Economics Department, Public Health England, London, United Kingdom.
Ard van SighemStichting HIV Monitoring, Amsterdam, The Netherlands.
Maria XiridouCentre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Maaike G Van VeenCluster Infectious Diseases, STI clinic department, Amsterdam Health Service, Amsterdam, the Netherlands.
Janneke C M HeijneCentre for Infectious Diseases Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo estimate HIV prevalence, the number of people living with HIV/AIDS (PLWHA) and the undiagnosed proportion in the Netherlands for 2012, and to compare these with published 2007 estimates.

designSynthesis of all available data sources.

methodsMulti-Parameter Evidence Synthesis (MPES) was used to obtain estimates in mutually exclusive key populations at higher risk in three geographical regions (Amsterdam, Rotterdam, rest of the Netherlands). Data sources included HIV prevalence surveys, diagnoses at STI clinics, and registered cases in HIV care. Group specific estimates were reported as Bayesian posterior medians and 95% credible intervals (CrI).

resultsThe 2012 model estimated 24,350 PLWHA (95% CrI 20,420-31,280) aged 15-70 years; 2,906 (+14%) more than in 2007. The estimated population HIV prevalence was 0.20% (95% CrI 0.17-0.26%). The overall proportion of undiagnosed HIV was lower in 2012 (34%, 95% CrI 22-49%) compared to 2007 (40%, 95% CrI 25-55%). After MSM, migrants from sub-Saharan Africa and the Caribbean formed the largest groups of PLWHA, but proportions of undiagnosed HIV remained high in these groups, 48% and 44% respectively. Amsterdam had lowest proportions undiagnosed for most key populations at higher risk, including MSM and migrants.

conclusionsIn 2012, the number of PLWHA was higher compared to 2007, while the proportion of undiagnosed HIV was lower, especially among MSM. Higher HIV testing rates, earlier treatment, and an improved life expectancy may explain these differences. HIV interventions need to be expanded in all key populations at higher risk, with special focus on migrants and key populationsliving outside of Amsterdam.

Indexed as

Health PolicyAdolescentAdultAgedFemaleGeographyHIV InfectionsHumansMaleMiddle AgedNetherlandsPrevalenceRisk FactorsYoung Adult

Identifiers

PMID26185998
PMCPMC4505862

What OpenQuestion holds

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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.