Evidence map›Paper›PMID 28411091›Full record

Observational studyThe lancet. HIV2017

Comparison of dynamic monitoring strategies based on CD4 cell counts in virally suppressed, HIV-positive individuals on combination antiretroviral therapy in high-income countries: a prospective, observational study.

Ellen C Caniglia, Lauren E Cain, Caroline A Sabin, James M Robins, Roger Logan, Sophie Abgrall, Michael J Mugavero, Sonia Hernández-Díaz, Laurence Meyer, Remonie Seng and 36 more

Open access · greenAbstract readComparative StudyObservational Study
In one paragraph

Observational study in The lancet. HIV, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  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. Article
  5. Article
  6. Article
  7. The predictive role of CD4BMC immunology · 2019
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

46 authors at 20 institutions in 9 countries.

Ellen C CanigliaDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA. Electronic address: ecaniglia@mail.harvard.edu.
Lauren E CainDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Caroline A SabinUniversity College London, London, UK.
James M RobinsDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA.
Roger LoganDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Sophie AbgrallSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France; Assistance Publique-Hopitaux de Paris (AP-HP), Hopital Antoine Béclère, Service de Médecine Interne, Clamart, France.
Michael J MugaveroDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; UAB Center for AIDS Research, University of Alabama at Birmingham, Birmingham, AL, USA.
Sonia Hernández-DíazDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Laurence MeyerUniversité Paris Sud, INSERM CESP U1018, Paris, France; AP-HP, Hopital de Bicêtre, Service de Santé Publique, le Kremlin Bicêtre, France.
Remonie SengUniversité Paris Sud, INSERM CESP U1018, Paris, France; AP-HP, Hopital de Bicêtre, Service de Santé Publique, le Kremlin Bicêtre, France.
Daniel R DrozdSchool of Medicine, Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA.
George R SeageDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Fabrice BonnetInstitut de Santé Publique, d'Epidémiologie et de Développement, Université de Bordeaux, Bordeaux, France; Department of Internal Medicine, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France.
Francois DabisINSERM U897, Centre INSERM Epidémiologie et Biostatistique, Université de Bordeaux, Bordeaux, France; Department of Internal Medicine, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France.
Richard D MooreSchool of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Peter ReissStichting HIV Monitoring, Amsterdam, Netherlands; Academic Medical Center, Department of Global Health and Division of Infectious Diseases, University of Amsterdam, Amsterdam, Netherlands; Amsterdam Institute for Global Health and Development, Amsterdam, Netherlands.
Ard van SighemStichting HIV Monitoring, Amsterdam, Netherlands.
William C MathewsInternal Medicine, Johns Hopkins University, Baltimore, MD, USA.
Julia Del AmoNational Centre of Epidemiology, Instituto de Salud Carlos III, Madrid, Spain; Consorcio de Investigación Biomédica de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Santiago MorenoRamón y Cajal Hospital, IRYCIS, Madrid, Spain; University of Alcalá de Henares, Madrid, Spain.
Steven G DeeksPositive Health Program, San Francisco General Hospital, San Francisco, CA, USA.
Roberto MugaServei de Medicina Interna, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Barcelona, Spain.
Stephen L BoswellFenway Health, Boston, MA, USA.
Elena FerrerHospital Universitari de Bellvitge-Bellvitge Institute for Biomedical Research, Hospitalet de Llobregat, Barcelona, Spain.
Joseph J EronDivision of Infectious Diseases, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sonia NapravnikDivision of Infectious Diseases, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Sophie JoseUniversity College London, London, UK.
Andrew PhillipsUniversity College London, London, UK.
Amy C JusticeYale School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA.
Janet P TateYale School of Medicine, New Haven, CT, USA; VA Connecticut Healthcare System, West Haven, CT, USA.
John GillSouthern Alberta HIV Clinic, University of Calgary, Calgary, AB, Canada.
Antonio PachecoPrograma de Computação Científica, FIOCRUZ, Rio de Janeiro, Brazil.
Valdilea G VelosoPrograma de Computação Científica, FIOCRUZ, Rio de Janeiro, Brazil.
Heiner C BucherBasel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland.
Matthias EggerCentre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; University of Bern, Institute for Social and Preventive Medicine, Bern, Switzerland.
Hansjakob FurrerDepartment of Infectious Diseases, Bern University Hospital and University of Bern, Bern, Switzerland.
Kholoud PorterUniversity College London, London, UK.
Giota TouloumiDepartment of Hygiene, Epidemiology and Medical Statistics, Athens University Medical School, Athens, Greece.
Heidi CraneDepartment of Medicine, University of Washington, Seattle, WA, USA.
Jose M MiroInfectious Diseases, Hospital Clinic-IDIBAPS, Barcelona, Spain.
Jonathan A SterneSchool of Social and Community Medicine, University of Bristol, Bristol, UK.
Dominique CostagliolaSorbonne Universités, UPMC Univ Paris 06, INSERM, Institut Pierre Louis d'épidémiologie et de Santé Publique (IPLESP UMRS 1136), Paris, France.
Michael SaagDepartment of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
Miguel A HernánDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Biostatistics, Harvard TH Chan School of Public Health, Boston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Boston, MA, USA.
HIV-CAUSAL Collaboration
Centers for AIDS Research Network of Integrated Clinical Systems
Harvard University · USUniversity College London · GBCentre de recherche en Epidémiologie et Santé des Populations · FRFundação Oswaldo Cruz · BRInserm · FRUniversity of Alabama at Birmingham · USUniversity of North Carolina at Chapel Hill · USUniversity of Washington · USAcademic Medical Center · NLBellvitge University Hospital · ESCentre Hospitalier Universitaire de Bordeaux · FRCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESFenway Health · USHôpital Antoine-Béclère · FRHospital Universitari Germans Trias i Pujol · ESInstitute of Social and Preventive Medicine · CHInstituto Cajal · ESJohns Hopkins Medicine · USJohns Hopkins University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Unsolicited R24 for the CFAR-Network of Integrated Clinical Sciences, CNICSR24AI067039 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Michael S. Saag · 2006 to 2026
$99.4M
Virology CoreP30AI027763 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS · 1988 to 2026
$93.6M
Virology, Immunology, and Microbiology CoreP30AI050410 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DAVID M. MARGOLIS · 2001 to 2026
$76.9M
The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)UM1AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI BEATRIZ GRINSZTEJN · 2012 to 2026
$26.3M
PROGRAM FOR AIDS CLINICAL RESEARCH TRAINING (PACRT)T32AI007433 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI MARK J SIEDNER · 1992 to 2026
$11.4M
Dynamic strategies for the clinical management of HIV diseaseR01AI102634 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HERNAN, MIGUEL · 2013 to 2017
$2.6M
Pooling HIV Cohorts to Inform Clinical DecisionR01AI073127 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI HERNAN, MIGUEL · 2007 to 2010
$1.5M
Medical Research Council MC_UU_12023/15Medical Research Council MR/J002380/1Medical Research Council MR/M004236/1NCATS NIH HHS UL1 TR001863NIAID NIH HHS P30 AI027763NIAID NIH HHS P30 AI050410NIAID NIH HHS R01 AI073127NIAID NIH HHS R01 AI102634NIAID NIH HHS R24 AI067039NIAID NIH HHS T32 AI007433NIAID NIH HHS UM1 AI069476
6 · The paper itself

Abstract

backgroundClinical guidelines vary with respect to the optimal monitoring frequency of HIV-positive individuals. We compared dynamic monitoring strategies based on time-varying CD4 cell counts in virologically suppressed HIV-positive individuals.

methodsIn this observational study, we used data from prospective studies of HIV-positive individuals in Europe (France, Greece, the Netherlands, Spain, Switzerland, and the UK) and North and South America (Brazil, Canada, and the USA) in The HIV-CAUSAL Collaboration and The Centers for AIDS Research Network of Integrated Clinical Systems. We compared three monitoring strategies that differ in the threshold used to measure CD4 cell count and HIV RNA viral load every 3-6 months (when below the threshold) or every 9-12 months (when above the threshold). The strategies were defined by the threshold CD4 counts of 200 cells per μL, 350 cells per μL, and 500 cells per μL. Using inverse probability weighting to adjust for baseline and time-varying confounders, we estimated hazard ratios (HRs) of death and of AIDS-defining illness or death, risk ratios of virological failure, and mean differences in CD4 cell count.

findings47 635 individuals initiated an antiretroviral therapy regimen between Jan 1, 2000, and Jan 9, 2015, and met the eligibility criteria for inclusion in our study. During follow-up, CD4 cell count was measured on average every 4·0 months and viral load every 3·8 months. 464 individuals died (107 in threshold 200 strategy, 157 in threshold 350, and 200 in threshold 500) and 1091 had AIDS-defining illnesses or died (267 in threshold 200 strategy, 365 in threshold 350, and 459 in threshold 500). Compared with threshold 500, the mortality HR was 1·05 (95% CI 0·86-1·29) for threshold 200 and 1·02 (0·91·1·14) for threshold 350. Corresponding estimates for death or AIDS-defining illness were 1·08 (0·95-1·22) for threshold 200 and 1·03 (0·96-1·12) for threshold 350. Compared with threshold 500, the 24 month risk ratios of virological failure (viral load more than 200 copies per mL) were 2·01 (1·17-3·43) for threshold 200 and 1·24 (0·89-1·73) for threshold 350, and 24 month mean CD4 cell count differences were 0·4 (-25·5 to 26·3) cells per μL for threshold 200 and -3·5 (-16·0 to 8·9) cells per μL for threshold 350.

interpretationDecreasing monitoring to annually when CD4 count is higher than 200 cells per μL compared with higher than 500 cells per μL does not worsen the short-term clinical and immunological outcomes of virally suppressed HIV-positive individuals. However, more frequent virological monitoring might be necessary to reduce the risk of virological failure. Further follow-up studies are needed to establish the long-term safety of these strategies.

fundingNational Institutes of Health.

Indexed as

AdolescentAdultAnti-HIV AgentsCD4 Lymphocyte CountDeveloped CountriesDrug MonitoringEuropeFemaleHIV-1HIV InfectionsHumansMaleMiddle AgedProspective StudiesViral LoadYoung AdultAnti-HIV Agents

Identifiers

PMID28411091
PMCPMC5492888
OpenAlexW2607447693

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LicenceCC BY-NC-ND
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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.