Evidence map›Paper›PMID 27319742›Full record

ArticleJournal of the International AIDS Society2016

First-line antiretroviral therapy durability in a 10-year cohort of naïve adults started on treatment in Uganda.

Barbara Castelnuovo, Agnes Kiragga, Frank Mubiru, Andrew Kambugu, Moses Kamya, Steven J Reynolds

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Observational
  12. Observational
  13. Article
  14. Article
  15. Article
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

6 authors.

Barbara CastelnuovoInfectious Disease Institute, Makerere University, Kampala, Uganda; bcastelnuovo@idi.co.ug.
Agnes KiraggaInfectious Disease Institute, Makerere University, Kampala, Uganda.
Frank MubiruInfectious Disease Institute, Makerere University, Kampala, Uganda.
Andrew KambuguInfectious Disease Institute, Makerere University, Kampala, Uganda.
Moses KamyaSchool of Medicine, Makerere University, Kampala, Uganda.
Steven J ReynoldsDivision of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA.

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
6 · The paper itself

Abstract

introductionThe majority of studies from resource-limited settings only report short-term virological outcomes of patients on antiretroviral treatment (ART). We aim to describe the long-term durability of first-line ART and identify factors associated with long-term virological outcomes.

methodsAt the Infectious Diseases Institute in Kampala, Uganda, 559 adult patients starting ART in 2004 were enrolled into a research cohort and monitored with viral load (VL) testing every six months for 10 years. We report the proportion and cumulative probability of 1) achieving virologic suppression (at least one VL <400 copies/ml); 2) experiencing virologic failure in patients who achieved suppression (two consecutive VLs >1000 copies/ml or one VL >5000, for those without a subsequent one); 3) treatment failure (not attaining virologic suppression or experiencing virologic failure). We used Cox regression methods to determine the characteristics associated with treatment failure. We included gender, baseline age, WHO stage, body mass index, CD4 count, propensity score for initial ART regimen, VL, time-dependent CD4 count and adherence.

resultsOf the 559 patients enrolled, 472 (84.8%) had at least one VL (67 died, 13 were lost to follow-up, 4 transferred, 2 had no VL available); 73.6% started on d4T/3TC/nevirapine and 26.4% on AZT/3TC/efavirenz. Patients in the two groups had similar characteristics, except for the higher proportion of patients in WHO Stage 3/4 and higher VL in the efavirenz-based group. Four hundred thirty-nine (93%) patients achieved virologic suppression with a cumulative probability of 0.94 (confidence interval (CI): 0.92-0.96); 74/439 (16.9%) experienced virologic failure with a cumulative probability of 0.18 (CI: 0.15-0.22). In the multivariate analysis, initial d4T/3TC/nevirapine regimen (hazard ratio (HR): 3.02; CI: 3.02 (1.66-5.44, p<0.001)) and baseline VL ≥5 log10 copies/ml (HR: 2.29; CI: 1.29-4.04) were associated with treatment failures; patients of older age (HR: 0.87 per five-year increase; CI: 0.77-0.99), with adherence >95% (HR: 0.04; CI: 0.02-0.11) and with higher time-dependent CD4 count (HR: 0.94 per 50 cells/µl increase; CI: 0.92-0.99, p<0.001) were less likely to experience treatment failure.

conclusionsThe long-term virological outcomes from this cohort are promising and comparable to those from research-rich settings. Our results provide further evidence that efavirenz is associated with better virological outcomes.

Indexed as

AdultAlkynesAnti-HIV AgentsBenzoxazinesCohort StudiesCyclopropanesDrug Therapy, CombinationFemaleHIV InfectionsHumansMaleNevirapineTime FactorsTreatment FailureUgandaAlkynesAnti-HIV AgentsBenzoxazinesCyclopropanesefavirenzNevirapineantiretroviral treatmentlong term outcomestreatments failure

Identifiers

PMID27319742
PMCPMC4913145

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.