Evidence map›Paper›PMID 30968824›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2019

Challenges in modelling the proportion of undiagnosed HIV infections in Sweden.

Emmi Andersson, Fumiyo Nakagawa, Ard van Sighem, Maria Axelsson, Andrew N Phillips, Anders Sönnerborg, Jan Albert

Open access · diamondAbstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Prevalence of Enterocytozoon bieneusi and Encephalitozoon spp. in Swedish patients with suspected gastrointestinal parasite infection: a cross-sectional molecular study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  3. Progress towards HIV transmission elimination targets: model-based estimation of incidence and the extent of undiagnosed infection, Scotland, 1981 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  4. Sweden surpasses the UNAIDS 95-95-95 target: estimating HIV-1 incidence, 2003 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  5. Article
  6. Article
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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 at 5 institutions in 3 countries.

Emmi AnderssonDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.
Fumiyo NakagawaInstitute for Global Health, University College London, London, United Kingdom.
Ard van SighemStichting HIV Monitoring, Amsterdam, the Netherlands.
Maria AxelssonDepartment of Public Health Analysis and Data Management, Public Health Agency of Sweden, Solna, Sweden.
Andrew N PhillipsInstitute for Global Health, University College London, London, United Kingdom.
Anders SönnerborgDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institute, Stockholm, Sweden.
Jan AlbertDepartment of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden.
Karolinska University Hospital · SEUniversity College London · GBKarolinska Institutet · SEPublic Health Agency of Sweden · SEStichting HIV Monitoring · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundSweden has a low HIV prevalence. However, among new HIV diagnoses in 2016, the proportion of late presenters and migrants was high (59% and 81%, respectively). This poses challenges in estimating the proportion of undiagnosed persons living with HIV (PLHIV).AimTo estimate the proportion of undiagnosed PLHIV in Sweden comparing two models with different demands on data availability and modelling expertise.MethodsAn individual-based stochastic simulation model of HIV positive populations (SSOPHIE) and the incidence method of the European Centre for Disease Prevention and Control (ECDC) HIV Modelling Tool were applied to clinical, surveillance and migration data from Sweden 1980-2016.ResultsSSOPHIE estimated that the proportion of undiagnosed PLHIV in 2013 was 26% (n = 2,100; 90% plausibility range (PR): 900-5,000) for all PLHIV, 17% (n = 600; 90% PR: 100-2,000) for men who have sex with men (MSM), 35% in male (n = 300; 90% PR: 200-700) and 34% in female (n = 400; 90% PR: 200-800) migrants from sub-Saharan Africa (SSA). The estimates for the ECDC model in 2013 were 21% (n = 2,013; 95% confidence interval (CI): 1,831-2,189) for all PLHIV, 15% (n = 369; 95% CI: 299-434) for MSM and 21% (n = 530; 95% CI: 436-632) for migrants from SSA.ConclusionsThe proportion of undiagnosed PLHIV in Sweden is uncertain. SSOPHIE estimates had wide PR. The ECDC model estimates were unreliable because migration was not accounted for. Better migration data and estimation methods are required to obtain reliable estimates of proportions of undiagnosed PLHIV in similar settings.

Indexed as

AdultAfrica South of the SaharaFemaleHIV InfectionsHomosexuality, MaleHumansIncidenceMaleModels, StatisticalPrevalenceRisk FactorsSwedenTransients and MigrantsYoung AdultepidemiologyHIV infectionmen who have sex with menmigrationMSMsexually transmitted infections

Identifiers

PMID30968824
PMCPMC6462786
OpenAlexW2930803212

What OpenQuestion holds

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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.