Evidence map›Paper›PMID 25083415›Full record

ArticleThe Lancet. Global health2013

Health benefits, costs, and cost-effectiveness of earlier eligibility for adult antiretroviral therapy and expanded treatment coverage: a combined analysis of 12 mathematical models.

Jeffrey W Eaton, Nicolas A Menzies, John Stover, Valentina Cambiano, Leonid Chindelevitch, Anne Cori, Jan A C Hontelez, Salal Humair, Cliff C Kerr, Daniel J Klein and 42 more

Abstract read
In one paragraph

Article in The Lancet. Global health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The costs of HIV treatment and care in Ghana.AIDS (London, England) · 2017
    Article
  12. Article
  13. Reframing HIV care: putting people at the centre of antiretroviral delivery.Tropical medicine & international health : TM & IH · 2015
    Article
  14. Article
  15. Article
  16. Review
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

52 authors.

Jeffrey W EatonDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Nicolas A MenziesCenter for Health Decision Science, Harvard School of Public Health, Boston, MA, USA.
John StoverFutures Institute, Glastonbury, CT, USA.
Valentina CambianoResearch Department of Infection and Population Health, University College London, London, UK.
Leonid ChindelevitchDepartment of Global Health and Population, Harvard School of Public Health, Boston, MA, USA.
Anne CoriMRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
Jan A C HontelezDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands ; Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa ; Nijmegen International Center for Health System Analysis and Education (NICHE), Department of Primary and Community Care, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands.
Salal HumairHarvard School of Public Health, Boston, MA, USA.
Cliff C KerrKirby Institute, University of New South Wales, Sydney, Australia.
Daniel J KleinEpidemiological Modeling Group, Intellectual Ventures Laboratory, Bellevue, WA, USA.
Sharmistha MishraDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK ; Division of Infectious Diseases, St. Michael's Hospital, University of Toronto, Canada.
Kate M MitchellSocial and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Brooke E NicholsDepartment of Virology, Erasmus Medical Center, Rotterdam, Netherlands.
Peter VickermanSocial and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Roel BakkerDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
Till BärnighausenAfrica Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa ; Harvard School of Public Health, Boston, MA, USA.
Anna BershteynEpidemiological Modeling Group, Intellectual Ventures Laboratory, Bellevue, WA, USA.
David E BloomHarvard School of Public Health, Boston, MA, USA.
Marie-Claude BoilyDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Stewart T ChangEpidemiological Modeling Group, Intellectual Ventures Laboratory, Bellevue, WA, USA.
Ted CohenDivision of Global Health Equity, Brigham and Women's Hospital, Boston, MA, USA ; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
Peter J DoddDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Christophe FraserMRC Centre for Outbreak Analysis and Modelling, Department of Infectious Disease Epidemiology, Imperial College London, London, UK.
Chaitra GopalappaFutures Institute, Glastonbury, CT, USA.
Jens LundgrenCopenhagen University Hospital/Rigshospitalet, Copenhagen, Denmark ; University of Copenhagen, Copenhagen, Denmark.
Natasha K MartinSchool of Social and Community Medicine, University of Bristol, Bristol, UK ; Social and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Evelinn MikkelsenNijmegen International Center for Health System Analysis and Education (NICHE), Department of Primary and Community Care, Radboud University Nijmegen Medical Centre, Nijmegen, Netherlands.
Elisa MountainDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Quang D PhamKirby Institute, University of New South Wales, Sydney, Australia.
Michael PicklesDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.
Andrew PhillipsResearch Department of Infection and Population Health, University College London, London, UK.
Lucy PlattSocial and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Carel PretoriusFutures Institute, Glastonbury, CT, USA.
Holly J PruddenSocial and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Joshua A SalomonDepartment of Global Health and Population, Harvard School of Public Health, Boston, MA, USA ; Center for Health Decision Science, Harvard School of Public Health, Boston, MA, USA.
David A M C van de VijverDepartment of Virology, Erasmus Medical Center, Rotterdam, Netherlands.
Sake J de VlasDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.
Bradley G WagnerEpidemiological Modeling Group, Intellectual Ventures Laboratory, Bellevue, WA, USA.
Richard G WhiteDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
David P WilsonKirby Institute, University of New South Wales, Sydney, Australia.
Lei ZhangKirby Institute, University of New South Wales, Sydney, Australia.
John BlandfordU.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Gesine Meyer-RathCenter for Global Health and Development, Boston University, Boston, MA, USA ; Health Economics and Epidemiology Research Office, Department of Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.
Michelle RemmeSocial and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Paul RevillCentre for Health Economics, University of York, York, UK.
Nalinee SangrujeeU.S. Centers for Disease Control and Prevention, Atlanta, GA, USA.
Fern Terris-PrestholtSocial and Mathematical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK.
Meg DohertyDepartment of HIV/AIDS, World Health Organization, Geneva, Switzerland.
Nathan ShafferDepartment of HIV/AIDS, World Health Organization, Geneva, Switzerland.
Philippa J EasterbrookDepartment of HIV/AIDS, World Health Organization, Geneva, Switzerland.
Gottfried HirnschallDepartment of HIV/AIDS, World Health Organization, Geneva, Switzerland.
Timothy B HallettDepartment of Infectious Disease Epidemiology, Imperial College London, London, UK.

Funding

Understanding and controlling antibiotic resistanceU54GM088558 · NIGMS · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIPSITCH, MARC · 2009 to 2018
$26.4M
CIHR 113289-1CIHR 120434-1Department of Health 12/3070/13Department of Health PDF-2011-04-049Medical Research Council MR/K010174/1Medical Research Council MR/K010174/1BNIGMS NIH HHS U54 GM088558Wellcome Trust
6 · The paper itself

Abstract

backgroundNew WHO guidelines recommend ART initiation for HIV-positive persons with CD4 cell counts ≤500 cells/µL, a higher threshold than was previously recommended. Country decision makers must consider whether to further expand ART eligibility accordingly.

methodsWe used multiple independent mathematical models in four settings-South Africa, Zambia, India, and Vietnam-to evaluate the potential health impact, costs, and cost-effectiveness of different adult ART eligibility criteria under scenarios of current and expanded treatment coverage, with results projected over 20 years. Analyses considered extending eligibility to include individuals with CD4 ≤500 cells/µL or all HIV-positive adults, compared to the previous recommendation of initiation with CD4 ≤350 cells/µL. We assessed costs from a health system perspective, and calculated the incremental cost per DALY averted ($/DALY) to compare competing strategies. Strategies were considered 'very cost-effective' if the $/DALY was less than the country's per capita gross domestic product (GDP; South Africa: $8040, Zambia: $1425, India: $1489, Vietnam: $1407) and 'cost-effective' if $/DALY was less than three times per capita GDP.

findingsIn South Africa, the cost per DALY averted of extending ART eligibility to CD4 ≤500 cells/µL ranged from $237 to $1691/DALY compared to 2010 guidelines; in Zambia, expanded eligibility ranged from improving health outcomes while reducing costs (i.e. dominating current guidelines) to $749/DALY. Results were similar in scenarios with substantially expanded treatment access and for expanding eligibility to all HIV-positive adults. Expanding treatment coverage in the general population was therefore found to be cost-effective. In India, eligibility for all HIV-positive persons ranged from $131 to $241/DALY and in Vietnam eligibility for CD4 ≤500 cells/µL cost $290/DALY. In concentrated epidemics, expanded access among key populations was also cost-effective.

interpretationEarlier ART eligibility is estimated to be very cost-effective in low- and middle-income settings, although these questions should be revisited as further information becomes available. Scaling-up ART should be considered among other high-priority health interventions competing for health budgets.

fundingThe Bill and Melinda Gates Foundation and World Health Organization.

Identifiers

PMID25083415
PMCPMC4114402

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