Evidence map›Paper›PMID 25128907›Full record

ArticleJournal of the International AIDS Society2014

Re-testing and misclassification of HIV-2 and HIV-1&2 dually reactive patients among the HIV-2 cohort of the West African Database to evaluate AIDS collaboration.

Boris K Tchounga, Andre Inwoley, Patrick A Coffie, Daouda Minta, Eugene Messou, Guillaume Bado, Albert Minga, Denise Hawerlander, Coumba Kane, Serge P Eholie and 3 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Journal of the International AIDS Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 5 countries.

Boris K TchoungaCentre INSERM U897-Epidémiologie-Biostatistique, ISPED, Université de Bordeaux, Bordeaux, France; Inserm U897, ISPED, Université de Bordeaux, Bordeaux, France; Programme PACCI, Site de recherche ANRS, Abidjan, Côte d'Ivoire; boris.tchounga@yahoo.fr.
Andre InwoleyCentre de Diagnostic et de Recherche sur le SIDA et les Affections Opportunistes, CHU de Treichville, Abidjan, Côte d'Ivoire.
Patrick A CoffieProgramme PACCI, Site de recherche ANRS, Abidjan, Côte d'Ivoire; Service des Maladies Infectieuses et Tropicales, CHU de Treichville, Abidjan, Côte d'Ivoire.
Daouda MintaCentre de Prise en Charge des Personnes vivant avec le VIH, Hôpital du Point G, Bamako, Mali.
Eugene MessouProgramme PACCI, Site de recherche ANRS, Abidjan, Côte d'Ivoire; Centre de Prise en Charge de Recherche et de Formation, CePReF-Aconda-VS, Abidjan, Côte d'Ivoire.
Guillaume BadoHôpital de Jour, Service des Maladies Infectieuses et Tropicales, CHU Souro Sanou, Bobo Dioulasso, Burkina Faso.
Albert MingaProgramme PACCI, Site de recherche ANRS, Abidjan, Côte d'Ivoire; Centre Médical de Suivi de Donneurs de Sang/CNTS/PRIMO-CI, Abidjan, Côte d'Ivoire.
Denise HawerlanderCentre Intégré de Recherches Biocliniques d'Abidjan CIRBA, Abidjan, Côte d'Ivoire.
Coumba KaneLaboratoire de Bactériologie-Virologie, Département GC&BA-ESP/UCAD, CHU A Le Dantec, Dakar, Sénégal.
Serge P EholieProgramme PACCI, Site de recherche ANRS, Abidjan, Côte d'Ivoire; Service des Maladies Infectieuses et Tropicales, CHU de Treichville, Abidjan, Côte d'Ivoire.
François DabisCentre INSERM U897-Epidémiologie-Biostatistique, ISPED, Université de Bordeaux, Bordeaux, France; Inserm U897, ISPED, Université de Bordeaux, Bordeaux, France.
Didier K EkoueviCentre INSERM U897-Epidémiologie-Biostatistique, ISPED, Université de Bordeaux, Bordeaux, France; Inserm U897, ISPED, Université de Bordeaux, Bordeaux, France; Programme PACCI, Site de recherche ANRS, Abidjan, Côte d'Ivoire; Département des Sciences Fondamentales et Santé Publique, Université de Lomé, Lomé-Togo.
WADA Collaboration
Programme PAC-CI · CIUniversity Hospital Medical Center at Treichville · CIBordeaux Population Health · FRCheikh Anta Diop University · SNInserm · FRUniversité de Bordeaux · FRWest African Health Organisation · BF

Funding

WADA (West Africa Database on Antiretroviral Therapy) CollaborationU01AI069919 · NIAID · UNIVERSITY OF BORDEAUX II · PI Didier Koumavi Ekouevi, Antoine Jaquet · 2006 to 2026
$29.9M
NIAID NIH HHS U01 AI069919NIAID NIH HHS U01AI069919
6 · The paper itself

Abstract

introductionWest Africa is characterized by the circulation of HIV-1 and HIV-2. The laboratory diagnosis of these two infections as well as the choice of a first-line antiretroviral therapy (ART) is challenging, considering the limited access to second-line regimens. This study aimed at confirming the classification of HIV-2 and HIV-1&2 dually reactive patients followed up in the HIV-2 cohort of the West African Database to evaluate AIDS collaboration.

methodA cross-sectional survey was conducted from March to December 2012 in Burkina Faso, Côte d'Ivoire and Mali among patients classified as HIV-2 or HIV-1&2 dually reactive according to the national HIV testing algorithms. A 5-ml blood sample was collected from each patient and tested in a single reference laboratory in Côte d'Ivoire (CeDReS, Abidjan) with two immuno-enzymatic tests: ImmunoCombII® (HIV-1&2 ImmunoComb BiSpot - Alere) and an in-house ELISA test, approved by the French National AIDS and hepatitis Research Agency (ANRS).

resultsA total of 547 patients were included; 57% of them were initially classified as HIV-2 and 43% as HIV-1&2 dually reactive. Half of the patients had CD4≥500 cells/mm(3) and 68.6% were on ART. Of the 312 patients initially classified as HIV-2, 267 (85.7%) were confirmed as HIV-2 with ImmunoCombII® and in-house ELISA while 16 (5.1%) and 9 (2.9%) were reclassified as HIV-1 and HIV-1&2, respectively (Kappa=0.69; p<0.001). Among the 235 patients initially classified as HIV-1&2 dually reactive, only 54 (23.0%) were confirmed as dually reactive with ImmunoCombII® and in-house ELISA, while 103 (43.8%) and 33 (14.0%) were reclassified as HIV-1 and HIV-2 mono-infected, respectively (kappa= 0.70; p<0.001). Overall, 300 samples (54.8%) were concordantly classified as HIV-2, 63 (11.5%) as HIV-1&2 dually reactive and 119 (21.8%) as HIV-1 (kappa=0.79; p<0.001). The two tests gave discordant results for 65 samples (11.9%).

conclusionsPatients with HIV-2 mono-infection are correctly discriminated by the national algorithms used in West African countries. HIV-1&2 dually reactive patients should be systematically investigated, with a standardized algorithm using more accurate tests, before initiating ART as at least 4 out of 10 of them could initiate an effective first-line ART for HIV-1 and optimize their second-line treatment options.

Indexed as

Acquired Immunodeficiency SyndromeAdultBurkina FasoCoinfectionCote d'IvoireCross-Sectional StudiesDiagnostic ErrorsFemaleHIV-1HIV-2HIV AntibodiesHumansMaleMaliMiddle AgedSerologic TestsHIV AntibodiesclassificationHIV-1&2 dually reactiveHIV-2testingWest Africa

Identifiers

PMID25128907
PMCPMC4134669
OpenAlexW2027879441

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.