Evidence map›Paper›PMID 26700639›Full record

ArticlePloS one2015

Virological Response and Antiretroviral Drug Resistance Emerging during Antiretroviral Therapy at Three Treatment Centers in Uganda.

Pontiano Kaleebu, Wilford Kirungi, Christine Watera, Juliet Asio, Fred Lyagoba, Tom Lutalo, Anne A Kapaata, Faith Nanyonga, Chris M Parry, Brian Magambo and 10 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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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

20 authors at 4 institutions in 2 countries.

Pontiano KaleebuUganda Virus Research Institute, Entebbe, Uganda.
Wilford KirungiMinistry of Health, AIDS Control Programme, Kampala, Uganda.
Christine WateraUganda Virus Research Institute, Entebbe, Uganda.
Juliet AsioUganda Virus Research Institute, Entebbe, Uganda.
Fred LyagobaUganda Virus Research Institute, Entebbe, Uganda.
Tom LutaloUganda Virus Research Institute, Entebbe, Uganda.
Anne A KapaataMRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda.
Faith NanyongaUganda Virus Research Institute, Entebbe, Uganda.
Chris M ParryMRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda.
Brian MagamboUganda Virus Research Institute, Entebbe, Uganda.
Jamirah NazziwaMRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda.
Maria NannyonjoMRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda.
Peter HughesMRC/UVRI Uganda Research Unit on AIDS, Entebbe, Uganda.
Wolfgang HladikU.S. Centers for Disease Control and Prevention, Entebbe, Uganda.
Anthony RuberantwariUganda Virus Research Institute, Entebbe, Uganda.
Norah NamuwengeMinistry of Health, AIDS Control Programme, Kampala, Uganda.
Joshua MusinguziMinistry of Health, AIDS Control Programme, Kampala, Uganda.
Robert DowningUganda Virus Research Institute, Entebbe, Uganda.
Edward Katongole-MbiddeUganda Virus Research Institute, Entebbe, Uganda.
HIV Drug Resistance Working group
Uganda Virus Research Institute · UGMinistry of Health · UGCenters for Disease Control and Prevention · UGLondon School of Hygiene & Tropical Medicine · GB

Funding

CGH CDC HHS U2G GH000785Medical Research Council MC_U950080938NCHHSTP CDC HHS U2G PS000586PEPFAR 1U2GGH000785-01PEPFAR 3U2GPS000586-05S1
6 · The paper itself

Abstract

backgroundWith the scale-up of antiretroviral therapy (ART), monitoring programme performance is needed to maximize ART efficacy and limit HIV drug resistance (HIVDR).

methodsWe implemented a WHO HIVDR prospective survey protocol at three treatment centers between 2012 and 2013. Data were abstracted from patient records at ART start (T1) and after 12 months (T2). Genotyping was performed in the HIV pol region at the two time points.

resultsOf the 425 patients enrolled, at T2, 20 (4.7%) had died, 66 (15.5%) were lost to follow-up, 313 (73.6%) were still on first-line, 8 (1.9%) had switched to second-line, 17 (4.0%) had transferred out and 1 (0.2%) had stopped treatment. At T2, 272 out of 321 on first and second line (84.7%) suppressed below 1000 copies/ml and the HIV DR prevention rate was 70.1%, just within the WHO threshold of ≥ 70%. The proportion of participants with potential HIVDR was 20.9%, which is higher than the 18.8% based on pooled analyses from African studies. Of the 35 patients with mutations at T2, 80% had M184V/I, 65.7% Y181C, and 48.6% (54.8% excluding those not on Tenofovir) had K65R mutations. 22.9% had Thymidine Analogue Mutations (TAMs). Factors significantly associated with HIVDR prevention at T2 were: baseline viral load (VL) <100,000 copies/ml [Adjusted odds ratio (AOR) 3.13, 95% confidence interval (CI): 1.36-7.19] and facility. Independent baseline predictors for HIVDR mutations at T2 were: CD4 count < 250 cells/μl (AOR 2.80, 95% CI: 1.08-7.29) and viral load ≥ 100,000 copies/ml (AOR 2.48, 95% CI: 1.00-6.14).

conclusionStrengthening defaulter tracing, intensified follow-up for patients with low CD4 counts and/or high VL at ART initiation together with early treatment initiation above 250 CD4 cells/ul and adequate patient counselling would improve ART efficacy and HIVDR prevention. The high rate of K65R and TAMs could compromise second line regimens including NRTIs.

Indexed as

Antiretroviral Therapy, Highly ActiveDrug Resistance, ViralAdultAnti-HIV AgentsFemaleHIV-1HIV InfectionsHumansMaleMiddle AgedPrognosisProspective StudiesUgandaViral LoadAnti-HIV Agents

Identifiers

PMID26700639
PMCPMC4689474
OpenAlexW2206876875

What OpenQuestion holds

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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.