Evidence map›Paper›PMID 28830382›Full record

ArticleBMC infectious diseases2017

Rates of switching to second-line antiretroviral therapy and impact of delayed switching on immunologic, virologic, and mortality outcomes among HIV-infected adults with virologic failure in Rakai, Uganda.

Victor Ssempijja, Gertrude Nakigozi, Larry Chang, Ron Gray, Maria Wawer, Anthony Ndyanabo, Jingo Kasule, David Serwadda, Barbara Castelnuovo, Anja Van't Hoog and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

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

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  7. HIV Viral Re-Suppression on Second-Line ART in Southern Zimbabwe.International journal of environmental research and public health · 2025
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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

11 authors.

Victor SsempijjaClinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., NCI Campus at Frederick, Frederick, MD, 21702, USA. victor.ssempijja@nih.gov.ORCID 0000-0003-2609-6525
Gertrude NakigoziRakai Health Sciences Program, Kalisizo, Uganda.
Larry ChangRakai Health Sciences Program, Kalisizo, Uganda.
Ron GrayRakai Health Sciences Program, Kalisizo, Uganda.
Maria WawerRakai Health Sciences Program, Kalisizo, Uganda.
Anthony NdyanaboRakai Health Sciences Program, Kalisizo, Uganda.
Jingo KasuleRakai Health Sciences Program, Kalisizo, Uganda.
David SerwaddaRakai Health Sciences Program, Kalisizo, Uganda.
Barbara CastelnuovoInfectious Disease Institute, Makerere University College of Health Sciences, Kampala, Uganda.
Anja Van't HoogDepartment of Global Health -Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Steven James ReynoldsRakai Health Sciences Program, Kalisizo, Uganda.

Funding

International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZIAAI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REYNOLDS, STEVEN · 2009 to 2025
$23.5M
International Studies of the Acquired Immune Deficiency Syndrome (AIDS)ZIAAI000361 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI REDD, ANDREW · 2009 to 2025
$15.8M
HIV Co-infections in Uganda: TB, Cryptococcus, and Viral Hepatitis.D43TW009771 · FIC · JOHNS HOPKINS UNIVERSITY · PI CASTELNUOVO, BARBARA, KAMBUGU, ANDREW DDUNGU · 2014 to 2023
$3.3M
International Center for Excellence in Research (ICER) in Uganda: Impact of ARVsZ01AI001040 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI QUINN, THOMAS · 2008 to 2008
$2.2M
FIC NIH HHS D43 TW009771Intramural NIH HHS Z01 AI001040NCI NIH HHS HHSN261200800001ENIAID NIH HHS Z01 AI001040PEPFAR
6 · The paper itself

Abstract

backgroundSwitch from first to second-line ART is recommended by WHO for patients with virologic failure. Delays in switching may contribute to accumulated drug resistance, advanced immunosuppression, increased morbidity and mortality. The 3rd 90' of UNAIDS 90:90:90 targets 90% viral suppression for persons on ART. We evaluated the rate of switching to second-line antiretroviral therapy (ART), and the impact of delayed switching on immunologic, virologic, and mortality outcomes in the Rakai Health Sciences Program (RHSP) Clinical Cohort Study which started providing ART in 2004 and implemented 6 monthly routine virologic monitoring beginning in 2005.

methodsRetrospective cohort study of HIV-infected adults on first-line ART who had two consecutive viral loads (VLs) >1000 copies/ml after 6 months on ART between June 2004 and June 2011 was studied for switching to second-line ART. Immunologic decline after virologic failure was defined as decrease in CD4 count of ≥50 cells/ul and virologic increase was defined as increase of 0.5 log 10 copies/ml. Competing risk models were used to summarize rates of switching to second-line ART while cox proportional hazard marginal structural models were used to assess the risk of virologic increase or immunologic decline associated with delay to switch first line ART failing patients.

resultsThe cumulative incidence of switching at 6, 12, and 24 months following virologic failure were 30.2%, 44.6%, and 65.0%, respectively. The switching rate was increased with higher VL at the time of virologic failure; compared to those with VLs ≤ 5000 copies/ml, patients with VLs = 5001-10,000 copies/ml had an aHR = 1.81 (95% CI = 0.9-3.6), and patients with VLs > 10,000 copies/ml had an aHR = 3.38 (95%CI = 1.9-6.2). The switching rate was also increased with CD4 < 100 cells/ul at ART initiation, compared to those with CD4 ≥ 100 cells/ul (aHR = 2.30, 95% CI = 1.5-3.6). Mortality in patients not switched to second-line ART was 11.9%, compared to 1.2% for those who switched (p = 0.009). Patients switched after 12 months of of virologic failure were more likely to experience CD4 decline and/or further VL increases.

conclusionsIntervention strategies that aid clinicians to promptly switch patients to second-line ART as soon as virologic failure on 1st line ART is confirmed should be prioritized.

Indexed as

AdolescentAdultAnti-HIV AgentsCD4 Lymphocyte CountFemaleHIV InfectionsHumansIncidenceMaleProportional Hazards ModelsRetrospective StudiesTime FactorsTreatment FailureUgandaViral LoadYoung AdultAnti-HIV AgentsAntiretroviral therapyCohort studiesCompeting risk modelHIVMortalitySecond line antiretroviral therapyTreatment switchVirologic failure

Identifiers

PMID28830382
PMCPMC5568262

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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.