Evidence map›Paper›PMID 22074713›Full record

Trial reportBMJ (Clinical research ed.)2011

CD4 cell count and viral load monitoring in patients undergoing antiretroviral therapy in Uganda: cost effectiveness study.

James G Kahn, Elliot Marseille, David Moore, Rebecca Bunnell, Willy Were, Richard Degerman, Jordan W Tappero, Paul Ekwaru, Frank Kaharuza, Jonathan Mermin

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMJ (Clinical research ed.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Cryptococcal Antigenemia in Human Immunodeficiency Virus Antiretroviral Therapy-Experienced Ugandans With Virologic Failure.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

James G KahnPhilip R Lee Institute for Health Policy Studies and Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA. jgkahn@ucsf.edu
Elliot Marseille
David Moore
Rebecca Bunnell
Willy Were
Richard Degerman
Jordan W Tappero
Paul Ekwaru
Frank Kaharuza
Jonathan Mermin

Funding

Making Better Decisions: Policy Modeling for AIDS and Drug AbuseR01DA015612 · NIDA · STANFORD UNIVERSITY · PI OWENS, DOUGLAS K · 2002 to 2017
$9.4M
NIDA NIH HHS R01 DA15612
6 · The paper itself

Abstract

objectiveTo examine the cost and cost effectiveness of quarterly CD4 cell count and viral load monitoring among patients taking antiretroviral therapy (ART).

designCost effectiveness study.

settingA randomised trial in a home based ART programme in Tororo, Uganda.

participantsPeople with HIV who were members of the AIDS Support Organisation and had CD4 cell counts <250 × 10(6) cells/L or World Health Organization stage 3 or 4 disease.

main outcome measuresOutcomes calculated for the study period and projected 15 years into the future included costs, disability adjusted life years (DALYs), and incremental cost effectiveness ratios (ICER; $ per DALY averted). Cost inputs were based on the trial and other sources. Clinical inputs derived from the trial; in the base case, we assumed that point estimates reflected true differences even if non-significant. We conducted univariate and multivariate sensitivity analyses.

interventionsThree monitoring strategies: clinical monitoring with quarterly CD4 cell counts and viral load measurement (clinical/CD4/viral load); clinical monitoring and quarterly CD4 counts (clinical/CD4); and clinical monitoring alone.

resultsWith the intention to treat (ITT) results per 100 individuals starting ART, we found that clinical/CD4 monitoring compared with clinical monitoring alone increases costs by $20,458 (£12,780, €14,707) and averts 117.3 DALYs (ICER = $174 per DALY). Clinical/CD4/viral load monitoring compared with clinical/CD4 monitoring adds $142,458, and averts 27.5 DALYs ($5181 per DALY). The superior ICER for clinical/CD4 monitoring is robust to uncertainties in input values, and that strategy is dominant (less expensive and more effective) compared with clinical/CD4/viral load monitoring in one quarter of simulations. If clinical inputs are based on the as treated analysis starting at 90 days (after laboratory monitoring was initiated), then clinical/CD4/viral load monitoring is dominated by other strategies.

conclusionsBased on this trial, compared with clinical monitoring alone, monitoring of routine CD4 cell count is considerably more cost effective than additionally including routine viral load testing in the monitoring strategy and is more cost effective than ART.

Indexed as

AdultAnti-Retroviral AgentsCD4 Lymphocyte CountCost-Benefit AnalysisDisability EvaluationFemaleHIV InfectionsHumansMaleQuality-Adjusted Life YearsUgandaViral LoadAnti-Retroviral Agents

Identifiers

PMID22074713
PMCPMC3213243

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.