Evidence map›Paper›PMID 41410199›Full record

ArticleHIV medicine2026

Risk factors for late HIV diagnosis in England, 2015-2023.

Joseph Jasperse, Ross J Harris, Clare Humphreys, Veronique Martin, Cuong Chau, Alison Brown, Tamara Djuretic, Gareth J Hughes

Abstract read
In one paragraph

Article in HIV medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joseph JasperseUK Field Epidemiology Training Programme, UK Health Security Agency, Newcastle upon Tyne, UK.ORCID https://orcid.org/0009-0008-5296-1766
Ross J HarrisStatistics Unit, UK Health Security Agency, London, UK.
Clare HumphreysSouth East Health Protection Team, UK Health Security Agency, Chilton, UK.
Veronique MartinHIV Section, UK Health Security Agency, London, UK.ORCID https://orcid.org/0000-0002-0570-095X
Cuong ChauHIV Section, UK Health Security Agency, London, UK.
Alison BrownHIV Section, UK Health Security Agency, London, UK.ORCID https://orcid.org/0000-0002-6490-6739
Tamara DjureticHIV Section, UK Health Security Agency, London, UK.
Gareth J HughesField Service North East and Yorkshire and Humber, UK Health Security Agency, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLate HIV diagnosis increases the risk of premature mortality and onward transmission. We analyzed the risk factors for late diagnosis in England to inform future testing strategies.

methodsWe extracted data from the national HIV surveillance system on all new HIV diagnoses in England residents aged 15 years and older reported between 2015 and 2023 and classified as likely acquiring HIV via sexual transmission. Late diagnosis was defined as a CD4 count <350 cells/mm

resultsA total of 18 217 diagnoses were included, of which 7177 (39%) were late. Key time-invariant risk factors for late diagnosis included older age (adjusted odds ratio: 1.44 per 10 years, 95% confidence interval: 1.40-1.49) and, for individuals born outside the United Kingdom, Asian (aOR: 1.69, 95% CI: 1.44-1.98) and Black African (aOR: 1.43, 95% CI: 1.28-1.61) ethnicity. The predicted probability of late diagnosis in men likely exposed via sex with men increased from 21% in 2015 to 32% in 2023, although it was consistently lower than individuals likely exposed through sex between men and women.

conclusionTargeted and accessible HIV testing approaches, which extend beyond sexual health services, should be prioritized for older adults, individuals exposed via sex between men and women, and non-UK-born ethnic minority groups.

Indexed as

Delayed DiagnosisHIV InfectionsAdolescentAdultAgedCD4 Lymphocyte CountEnglandFemaleHumansMaleMiddle AgedRisk FactorsYoung AdultHIVHIV testinglate diagnosislate presentationrisk factors

Identifiers

PMID41410199
PMCPMC12968494

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