Evidence map›Paper›PMID 25104633›Full record

ArticleThe Lancet. Global health2014

Cost-effectiveness of different strategies to monitor adults on antiretroviral treatment: a combined analysis of three mathematical models.

Daniel Keebler, Paul Revill, Scott Braithwaite, Andrew Phillips, Nello Blaser, Annick Borquez, Valentina Cambiano, Andrea Ciaranello, Janne Estill, Richard Gray and 12 more

Abstract read
In one paragraph

Article in The Lancet. Global health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Long-term Virological Outcomes of First-Line Antiretroviral Therapy for HIV-1 in Low- and Middle-Income Countries: A Systematic Review and Meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    Pooled it
  5. Trial
  6. Determining Risk for Depression among Older People Residing in Vietnamese Rural Settings.International journal of environmental research and public health · 2019
    Article
  7. Review
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  9. Diagnosis of Human Immunodeficiency Virus Infection.Clinical microbiology reviews · 2019
    Review
  10. Sex Differences in Quality of Life and Health Services Utilization among Elderly People in Rural Vietnam.International journal of environmental research and public health · 2018
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Daniel KeeblerSouth African Department of Science and Technology/National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
Paul RevillCentre for Health Economics, University of York, York, UK.
Scott BraithwaiteSchool of Medicine, New York University, New York, NY, USA.
Andrew PhillipsResearch Department of Infection and Population Health, University College London, London, UK.
Nello BlaserDivision of International and Environmental Health, Institute of Social and Preventive Medicine (ISPM) University of Bern, Bern, Switzerland.
Annick BorquezDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Valentina CambianoResearch Department of Infection and Population Health, University College London, London, UK.
Andrea CiaranelloMassachusetts General Hospital, Boston, MA, USA.
Janne EstillDivision of International and Environmental Health, Institute of Social and Preventive Medicine (ISPM) University of Bern, Bern, Switzerland.
Richard GrayThe Kirby Institute, The University of New South Wales, Sydney, NSW, Australia.
Andrew HillUniversity of Liverpool, Liverpool, UK.
Olivia KeiserDivision of International and Environmental Health, Institute of Social and Preventive Medicine (ISPM) University of Bern, Bern, Switzerland.
Jason KesslerSchool of Medicine, New York University, New York, NY, USA.
Nicolas A MenziesCenter for Health Decision Science, Harvard School of Public Health, Boston, MA, USA.
Kimberly A NuciforaSchool of Medicine, New York University, New York, NY, USA.
Luisa Salazar VizcayaDivision of International and Environmental Health, Institute of Social and Preventive Medicine (ISPM) University of Bern, Bern, Switzerland.
Simon WalkerCentre for Health Economics, University of York, York, UK.
Alex WelteSouth African Department of Science and Technology/National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa.
Philippa EasterbrookHIV Programme, WHO, Geneva, Switzerland.
Meg DohertyHIV Programme, WHO, Geneva, Switzerland.
Gottfried HirnschallHIV Programme, WHO, Geneva, Switzerland.
Timothy B HallettDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK. Electronic address: timothy.hallett@imperial.ac.uk.

Funding

Optimizing Outcomes for HIV-Exposed and HIV-Infected Children in South AfricaK01AI078754 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CIARANELLO, ANDREA LYNNE · 2009 to 2013
$685k
Medical Research Council MC_U122886353Medical Research Council MR/K010174/1NIAID NIH HHS K01 AI078754World Health Organization 001
6 · The paper itself

Abstract

backgroundWHO's 2013 revisions to its Consolidated Guidelines on antiretroviral drugs recommend routine viral load monitoring, rather than clinical or immunological monitoring, as the preferred monitoring approach on the basis of clinical evidence. However, HIV programmes in resource-limited settings require guidance on the most cost-effective use of resources in view of other competing priorities such as expansion of antiretroviral therapy coverage. We assessed the cost-effectiveness of alternative patient monitoring strategies.

methodsWe evaluated a range of monitoring strategies, including clinical, CD4 cell count, and viral load monitoring, alone and together, at different frequencies and with different criteria for switching to second-line therapies. We used three independently constructed and validated models simultaneously. We estimated costs on the basis of resource use projected in the models and associated unit costs; we quantified impact as disability-adjusted life years (DALYs) averted. We compared alternatives using incremental cost-effectiveness analysis.

findingsAll models show that clinical monitoring delivers significant benefit compared with a hypothetical baseline scenario with no monitoring or switching. Regular CD4 cell count monitoring confers a benefit over clinical monitoring alone, at an incremental cost that makes it affordable in more settings than viral load monitoring, which is currently more expensive. Viral load monitoring without CD4 cell count every 6-12 months provides the greatest reductions in morbidity and mortality, but incurs a high cost per DALY averted, resulting in lost opportunities to generate health gains if implemented instead of increasing antiretroviral therapy coverage or expanding antiretroviral therapy eligibility.

interpretationThe priority for HIV programmes should be to expand antiretroviral therapy coverage, firstly at CD4 cell count lower than 350 cells per μL, and then at a CD4 cell count lower than 500 cells per μL, using lower-cost clinical or CD4 monitoring. At current costs, viral load monitoring should be considered only after high antiretroviral therapy coverage has been achieved. Point-of-care technologies and other factors reducing costs might make viral load monitoring more affordable in future.

fundingBill & Melinda Gates Foundation, WHO.

Indexed as

AdultAnti-HIV AgentsCD4 Lymphocyte CountCost-Benefit AnalysisDisease ManagementDrug SubstitutionHealth Care CostsHIV InfectionsHumansModels, TheoreticalQuality-Adjusted Life YearsViral LoadAnti-HIV Agents

Identifiers

PMID25104633
PMCPMC4404633

What OpenQuestion holds

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LicenceTDM
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.