Evidence map›Paper›PMID 30869051›Full record

ArticleEpidemiology and infection2019

Integration of a recent infection testing algorithm into HIV surveillance in Ireland: improving HIV knowledge to target prevention.

E Robinson, J Moran, K O'Donnell, J Hassan, H Tuite, O Ennis, F Cooney, E Nugent, L Preston, S O'Dea and 5 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 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
–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

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

  1. Pooled it
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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.

E RobinsonHealth Service Executive (HSE) Health Protection Surveillance Centre,Dublin,Ireland.ORCID 0000-0002-5155-368X
J MoranHealth Service Executive (HSE) Health Protection Surveillance Centre,Dublin,Ireland.
K O'DonnellHealth Service Executive (HSE) Health Protection Surveillance Centre,Dublin,Ireland.ORCID 0000-0002-0260-695X
J HassanNational Virus Reference Laboratory, University College Dublin,Dublin,Ireland.ORCID 0000-0001-5270-7372
H TuiteInfectious Diseases Society of Ireland,Dublin,Ireland.
O EnnisHIV Ireland,Dublin,Ireland.
F CooneyDepartment of Public Health Medicine,HSE East,Dublin,Ireland.
E NugentHIV Ireland,Dublin,Ireland.
L PrestonPositive Now,Dublin,Ireland.
S O'DeaHSE Gay Men's Health Service,Dublin,Ireland.
S DoyleDepartment of Public Health Medicine,HSE South East,Kilkenny,Ireland.
S KeatingSociety for the Study of Sexually Transmitted Diseases in Ireland,Dublin,Ireland.
J ConnellNational Virus Reference Laboratory, University College Dublin,Dublin,Ireland.
C De GascunNational Virus Reference Laboratory, University College Dublin,Dublin,Ireland.ORCID 0000-0001-9208-4325
D IgoeHealth Service Executive (HSE) Health Protection Surveillance Centre,Dublin,Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent infection testing algorithms (RITA) for HIV combine serological assays with epidemiological data to determine likely recent infections, indicators of ongoing transmission. In 2016, we integrated RITA into national HIV surveillance in Ireland to better inform HIV prevention interventions. We determined the avidity index (AI) of new HIV diagnoses and linked the results with data captured in the national infectious disease reporting system. RITA classified a diagnosis as recent based on an AI < 1.5, unless epidemiological criteria (CD4 count <200 cells/mm3; viral load <400 copies/ml; the presence of AIDS-defining illness; prior antiretroviral therapy use) indicated a potential false-recent result. Of 508 diagnoses in 2016, we linked 448 (88.1%) to an avidity test result. RITA classified 12.5% of diagnoses as recent, with the highest proportion (26.3%) amongst people who inject drugs. On multivariable logistic regression recent infection was more likely with a concurrent sexually transmitted infection (aOR 2.59; 95% CI 1.04-6.45). Data were incomplete for at least one RITA criterion in 48% of cases. The study demonstrated the feasibility of integrating RITA into routine surveillance and showed some ongoing HIV transmission. To improve the interpretation of RITA, further efforts are required to improve completeness of the required epidemiological data.

Indexed as

AlgorithmsEpidemiological MonitoringAntibody AffinityCD4 Lymphocyte CountHIV AntibodiesHIV InfectionsHumansImmunoenzyme TechniquesIrelandSerologic TestsViral LoadHIV AntibodiesEpidemiologyHIV/AIDSpublic healthrecent infection testingsurveillance

Identifiers

PMID30869051
PMCPMC6518489

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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.