Evidence map›Paper›PMID 24112129›Full record

ArticleBMC infectious diseases2013

The potential impact of routine testing of individuals with HIV indicator diseases in order to prevent late HIV diagnosis.

Paola Scognamiglio, Giacomina Chiaradia, Gabriella De Carli, Massimo Giuliani, Claudio Maria Mastroianni, Stefano Aviani Barbacci, Anna Rita Buonomini, Susanna Grisetti, Alessandro Sampaolesi, Angela Corpolongo and 5 more

Open access · goldAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Implicit bias in HIV testing based on indicator conditions in primary care: a population-based study in Catalonia, Spain, 2017 to 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  4. Use of healthcare services preceding HIV diagnosis - missed opportunities for earlier diagnosis, Finland, 1996 to 2019.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  5. Article
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  7. Journal of fungi (Basel, Switzerland) · 2022
    Review
  8. Determinants of Late HIV Presentation at Ndlavela Health Center in Mozambique.International journal of environmental research and public health · 2022
    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

15 authors at 5 institutions in 2 countries.

Paola ScognamiglioNational Institute for Infectious Diseases "L, Spallanzani" (IRCCS), Via Portuense 292, Rome 00149, Italy. enrico.girardi@inmi.it.
Giacomina Chiaradia
Gabriella De Carli
Massimo Giuliani
Claudio Maria Mastroianni
Stefano Aviani Barbacci
Anna Rita Buonomini
Susanna Grisetti
Alessandro Sampaolesi
Angela Corpolongo
Nicoletta Orchi
Vincenzo Puro
Giuseppe Ippolito
Enrico Girardi
SENDIH Study Group
Istituto Nazionale per le Malattie Infettive Lazzaro Spallanzani · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITOspedale di Belcolle · ITOspedale Santa Maria Goretti · ITUniversity of Rome Tor Vergata · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of our work was to evaluate the potential impact of the European policy of testing for HIV all individuals presenting with an indicator disease, to prevent late diagnosis of HIV. We report on a retrospective analysis among individuals diagnosed with HIV to assess whether a history of certain diseases prior to HIV diagnosis was associated with the chance of presenting late for care, and to estimate the proportion of individuals presenting late who could have been diagnosed earlier if tested when the indicator disease was diagnosed.

methodsWe studied a large cohort of individuals newly diagnosed with HIV infection in 13 counselling and testing sites in the Lazio Region, Italy (01/01/2004-30/04/2009). Considered indicator diseases were: viral hepatitis infection (HBV/HCV), sexually transmitted infections, seborrhoeic dermatitis and tuberculosis. Logistic regression analysis was performed to estimate association of occurrence of at least one indicator disease with late HIV diagnosis.

resultsIn our analysis, the prevalence of late HIV diagnosis was 51.3% (890/1735). Individuals reporting at least one indicator disease before HIV diagnosis (29% of the study population) had a lower risk of late diagnosis (OR = 0.7; 95%CI: 0.5-0.8) compared to those who did not report a previous indicator disease. 52/890 (5.8%) late presenters were probably already infected at the time the indicator disease was diagnosed, a median of 22.6 months before HIV diagnosis.

conclusionsOur data suggest that testing for HIV following diagnosis of an indicator disease significantly decreases the probability of late HIV diagnosis. Moreover, for 5.5% of late HIV presenters, diagnosis could have been anticipated if they had been tested when an HIV indicator disease was diagnosed.However, this strategy for enhancing early HIV diagnosis needs to be complemented by client-centred interventions that aim to increase awareness in people who do not perceive themselves as being at risk for HIV.

Indexed as

AdolescentAdultAgedAged, 80 and overCD4 Lymphocyte CountDelayed DiagnosisDiagnostic Tests, RoutineFemaleHIV InfectionsHumansItalyMaleMiddle AgedRetrospective StudiesRisk FactorsYoung Adult

Identifiers

PMID24112129
PMCPMC3852490
OpenAlexW2038428273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.