Evidence map›Paper›PMID 22878419›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2012

Factors affecting timing of antiretroviral treatment initiation based on monitoring CD4 counts.

Farzad Noubary, Michael D Hughes

Abstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Farzad NoubaryCenter for Biostatistics in AIDS Research, Department of Biostatistics, Harvard School of Public Health, Boston, MA 20114, USA. fnoubary@partners.org
Michael D Hughes

Funding

Statistical and Data Management Center (SDMC), AIDS Clinical Trials Group (ACTG)UM1AI068634 · NIAID · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Marlene Ann Cooper, Michael David Hughes · 2011 to 2026
$246.6M
The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Daniel Lingwood · 2004 to 2026
$94.4M
Statistical and Data Management Center for the AIDS Clinical Trials GroupU01AI068634 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HUGHES, MICHAEL DAVID · 2006 to 2010
$71.9M
Development and application of a new simulation model for COVID-19R01AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Anne Neilan · 1998 to 2026
$12.9M
Cost-effectiveness of preventing HIV complicationsR37AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2006 to 2014
$7.1M
STATISTICAL METHODS IN AIDS RESEARCHR37AI024643 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUGHES, MICHAEL DAVID · 2001 to 2010
$2.8M
STATISTICAL METHODS IN AIDS RESEARCHR01AI024643 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI HUGHES, MICHAEL DAVID · 1987 to 2014
$1.7M
COST EFFECTIVENESS OF PREVENTING HIV COMPLICATIONSR21AI042006 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 1997 to 2002
$255k
NIAID NIH HHS AI 24643NIAID NIH HHS AI 42006NIAID NIH HHS AI 60354NIAID NIH HHS AI 68634NIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI024643NIAID NIH HHS R01 AI042006NIAID NIH HHS R21 AI042006NIAID NIH HHS R37 AI024643NIAID NIH HHS R37 AI042006NIAID NIH HHS U01 AI068634NIAID NIH HHS UM1 AI068634
6 · The paper itself

Abstract

objectiveTo evaluate factors affecting antiretroviral therapy (ART) start time when triggered by a CD4 count <350 cells/μL while monitoring counts over time. Measurement frequency, requirement for confirmatory counts, and precision and accuracy of CD4 enumeration technology were considered.

methodsUsing a model of CD4 count trajectories among seroconverters in the Multicenter AIDS Cohort Study, sequences of counts were simulated for a large hypothetical population monitored for 5 years from seroconversion. Time of first count <350 cells/μL was defined as ART start time. The simulation was adapted to evaluate the effect of the above factors on these times. ART initiation was considered "very late" among patients whose underlying trajectory declined less than 200 cells/μL during the period simulated if no previous observed count was <350 cells/μL.

resultsFor 12-, 6-, 4-, and 3-monthly measurements, median start time was 48, 36, 32, and 30 months after seroconversion and proportion of patients starting ART very late was 11.5%, 1.6%, 0.2%, and 0.1%. For 6-monthly measurements, requiring confirmation increased the median to 49 months and proportion to 8.9%. Changes in standard deviation of short-term variability in counts of 25% and measurement bias for a novel technology of ±10% changed median time by ±6 months with modest change in the proportion very late (range, 0.5%-3.2%).

conclusion: 6-monthly measurements appear adequate in achieving low rates of very late ART whereas confirmation affects rates adversely. Studies comparing new versus standard measurement technologies should focus on ruling out modest bias, particularly proximal to important thresholds for treatment management.

Indexed as

CD4 Lymphocyte CountAnti-HIV AgentsCohort StudiesHIV InfectionsHIV SeropositivityHumansMaleTime FactorsAnti-HIV Agents

Identifiers

PMID22878419
PMCPMC3649850

What OpenQuestion holds

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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.