Evidence map›Paper›PMID 41605890›Full record

ArticleNature communications2026

Labor Market Outcomes of People with HIV Pre- and Post-Diagnosis in the Netherlands.

Andrei Tuiu, Esmée Zwiers, Wendy Janssens, Vita Jongen, Ard van Sighem, Ferdinand Wit, Menno Pradhan, Marc van der Valk

Abstract read
In one paragraph

Article in Nature communications, 2026. 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
–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

1 citing paper in PubMed.

  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

8 authors.

Andrei TuiuAmsterdam School of Economics, University of Amsterdam, Amsterdam, the Netherlands. a.tuiu@uva.nl.ORCID http://orcid.org/0009-0002-3669-190X
Esmée ZwiersAmsterdam School of Economics, University of Amsterdam, Amsterdam, the Netherlands.
Wendy JanssensSchool of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Vita JongenStichting hiv monitoring, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0001-9538-1501
Ard van SighemStichting hiv monitoring, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-6656-0516
Ferdinand WitStichting hiv monitoring, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-2066-8115
Menno PradhanAmsterdam School of Economics, University of Amsterdam, Amsterdam, the Netherlands.
Marc van der ValkStichting hiv monitoring, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-8290-6425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the current era of effective antiretroviral therapy, HIV has become a manageable chronic condition. Little is known about the consequences of HIV on individuals' labor market outcomes. We study the impact of an HIV diagnosis using linked clinical data (the Dutch ATHENA cohort) and administrative data. A causal effect is estimated by comparing outcomes of people with HIV diagnosed between 2010 and 2022 (n = 5960) to a matched control group (n = 59,600) in a difference-in-difference design. We find that people with HIV are less likely to be employed, work fewer hours, earn less income, and are more likely to receive disability benefits up to 7 years after diagnosis. These effects are more pronounced for those diagnosed with late-stage HIV disease. Those with a non-late stage diagnosis experience a deterioration of socioeconomic outcomes, despite being less likely to experience clinically relevant symptoms at diagnosis. These findings highlight the need for continued efforts in prevention and early detection of HIV.

Indexed as

EmploymentHIV InfectionsAdultFemaleHumansIncomeMaleMiddle AgedNetherlandsSocioeconomic Factors

Identifiers

PMID41605890
PMCPMC12855923

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.