Evidence map›Paper›PMID 26316598›Full record

Trial reportAmerican journal of epidemiology2015

The Impact of Different CD4 Cell-Count Monitoring and Switching Strategies on Mortality in HIV-Infected African Adults on Antiretroviral Therapy: An Application of Dynamic Marginal Structural Models.

Deborah Ford, James M Robins, Maya L Petersen, Diana M Gibb, Charles F Gilks, Peter Mugyenyi, Heiner Grosskurth, James Hakim, Elly Katabira, Abdel G Babiker and 2 more

Open access · bronzeAbstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Ranking tailoring variables for constructing individualized treatment rules: an application to schizophrenia.Journal of the Royal Statistical Society. Series C, Applied statistics · 2022
    Article
  4. Review
  5. Article
  6. Article
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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

12 authors.

Deborah Ford
James M Robins
Maya L Petersen
Diana M Gibb
Charles F Gilks
Peter Mugyenyi
Heiner Grosskurth
James Hakim
Elly Katabira
Abdel G Babiker
A Sarah Walker
DART Trial Team

Funding

Analytic Methods for HIV Treatment and Co-Factor EffectsR37AI032475 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ROBINS, JAMES M · 2005 to 2014
$6.0M
Medical Research Council G0600344Medical Research Council MC_U122886352Medical Research Council MC_UU_12023/16Medical Research Council MC_UU_12023/21Medical Research Council MC_UU_12023/23Medical Research Council MC_UU_12023/26NIAID NIH HHS 5 R37 AI032475NIAID NIH HHS R37 AI032475
6 · The paper itself

Abstract

In Africa, antiretroviral therapy (ART) is delivered with limited laboratory monitoring, often none. In 2003-2004, investigators in the Development of Antiretroviral Therapy in Africa (DART) Trial randomized persons initiating ART in Uganda and Zimbabwe to either laboratory and clinical monitoring (LCM) or clinically driven monitoring (CDM). CD4 cell counts were measured every 12 weeks in both groups but were only returned to treating clinicians for management in the LCM group. Follow-up continued through 2008. In observational analyses, dynamic marginal structural models on pooled randomized groups were used to estimate survival under different monitoring-frequency and clinical/immunological switching strategies. Assumptions included no direct effect of randomized group on mortality or confounders and no unmeasured confounders which influenced treatment switch and mortality or treatment switch and time-dependent covariates. After 48 weeks of first-line ART, 2,946 individuals contributed 11,351 person-years of follow-up, 625 switches, and 179 deaths. The estimated survival probability after a further 240 weeks for post-48-week switch at the first CD4 cell count less than 100 cells/mm(3) or non-Candida World Health Organization stage 4 event (with CD4 count <250) was 0.96 (95% confidence interval (CI): 0.94, 0.97) with 12-weekly CD4 testing, 0.96 (95% CI: 0.95, 0.97) with 24-weekly CD4 testing, 0.95 (95% CI: 0.93, 0.96) with a single CD4 test at 48 weeks (baseline), and 0.92 (95% CI: 0.91, 0.94) with no CD4 testing. Comparing randomized groups by 48-week CD4 count, the mortality risk associated with CDM versus LCM was greater in persons with CD4 counts of <100 (hazard ratio = 2.4, 95% CI: 1.3, 4.3) than in those with CD4 counts of ≥100 (hazard ratio = 1.1, 95% CI: 0.8, 1.7; interaction P = 0.04). These findings support a benefit from identifying patients immunologically failing first-line ART at 48 weeks.

Indexed as

AdultAnti-Retroviral AgentsCD4 Lymphocyte CountFemaleHIV InfectionsHumansMaleModels, StatisticalUgandaZimbabweAnti-Retroviral AgentsAfricaantiretroviral therapydrug switchingdynamic marginal structural modelsHIVmonitoring

Identifiers

PMID26316598
PMCPMC4581589
OpenAlexW2137419248

What OpenQuestion holds

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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.