Evidence map›Paper›PMID 24349503›Full record

Trial reportPloS one2013

Validation and calibration of a computer simulation model of pediatric HIV infection.

Andrea L Ciaranello, Bethany L Morris, Rochelle P Walensky, Milton C Weinstein, Samuel Ayaya, Kathleen Doherty, Valeriane Leroy, Taige Hou, Sophie Desmonde, Zhigang Lu and 6 more

Abstract readClinical TrialMulticenter Study
In one paragraph

Trial report in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

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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

16 authors.

Andrea L CiaranelloDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Division of Infectious Diseases, Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Bethany L MorrisDivision of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Rochelle P WalenskyDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Division of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Division of Infectious Diseases, Brigham and Women's Hospital, Boston, Massachusetts, United States of America ; The Center for AIDS Research, Harvard University, Boston, Massachusetts, United States of America.
Milton C WeinsteinThe Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Samuel AyayaDepartment of Child Health and Pediatrics, Moi University, Eldoret, Kenya.
Kathleen DohertyDivision of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Valeriane LeroyInserm, Unit 897, Institut de Santé Publique et de Développement, Université Bordeaux Segalen 2, Bordeaux, France.
Taige HouDivision of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Sophie DesmondeInserm, Unit 897, Institut de Santé Publique et de Développement, Université Bordeaux Segalen 2, Bordeaux, France.
Zhigang LuDivision of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Farzad NoubaryDivision of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Kunjal PatelThe Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Lynn Ramirez-AvilaMedical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Children's Hospital Boston, Boston, Massachusetts, United States of America ; Department of Pediatrics, Division of Pediatric Infectious Diseases, University of California Los Angeles, Los Angeles, California, United States of America.
Elena LosinaDivision of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Department of Medicine, and Department of Orthopedic Surgery, Brigham and Women's Hospital, Boston, Massachusetts, United States of America ; The Center for AIDS Research, Harvard University, Boston, Massachusetts, United States of America ; The Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America.
George R SeageThe Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America.
Kenneth A FreedbergDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Division of General Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America ; The Center for AIDS Research, Harvard University, Boston, Massachusetts, United States of America ; The Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States of America ; The Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, United States of America.

Funding

LOC-IMPAACT Leadership GroupPharmacokinetics and Safety of Remdesivir for Treatment of COVID-19 in Pregnant Women in the USUM1AI068632 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI Jennifer Jao, Sharon A Nachman · 2011 to 2026
$278.1M
International Maternal Pediatric Adolescent AIDS Clinical Trials (IMPAACT) GroupU01AI068632 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI JACKSON, J BROOKS · 2006 to 2010
$109.7M
East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional ConsortiumU01AI069911 · NIAID · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI AGGREY SEMWENDERO SEMEERE, Kara Kay Wools-Kaloustian · 2006 to 2026
$57.7M
Statistical/Data Management Center-Pediatric AIDS CTGU01AI041110 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI FENTON, TERRENCE · 1997 to 2006
$38.6M
Statistical and Data Management Center-Pediatric,Adolescent, and Maternal CTGU01AI068616 · NIAID · HARVARD SCHOOL OF PUBLIC HEALTH · PI SHAPIRO, DAVID ERIC · 2006 to 2010
$38.6M
Optimizing HIV Care in Less Developed CountriesR01AI058736 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Kenneth Alan Freedberg, Emily Parker Hyle · 2004 to 2026
$21.5M
Novel Methods to Inform HIV/TB Clinical Trial DevelopmentR01AI093269 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI REDDY, KRISHNA P · 2011 to 2024
$6.8M
Optimizing Outcomes for HIV-Exposed and HIV-Infected Children in South AfricaK01AI078754 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI CIARANELLO, ANDREA LYNNE · 2009 to 2013
$685k
Optimal Strategies for Management of HIV DiseaseK24AI062476 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI FREEDBERG, KENNETH ALAN · 2004 to 2008
$512k
ANALYSES OF THE S TYPYIMURIUM TYROSINE PHOSPHATASE SPTPF32AI009919 · NIAID · YALE UNIVERSITY · PI MURLI, SUMATI · 1997 to 1999
–
INTRACELLULAR PH PHYSIOLOGY IN MESANGIAL CELL GROWTHF32DK009001 · NIDDK · YALE UNIVERSITY · PI SINGH, SATISH K · 1993 to 1995
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NIAID NIH HHS 1 U01 AI068616NIAID NIH HHS 5 U01 AI41110NIAID NIH HHS AI068632NIAID NIH HHS F32 AI009919NIAID NIH HHS K01 AI078754NIAID NIH HHS K24 AI062476NIAID NIH HHS R01 AI058736NIAID NIH HHS R01 AI093269NIAID NIH HHS U01 AI041110NIAID NIH HHS U01 AI068616NIAID NIH HHS U01 AI068632NIAID NIH HHS U01 AI069911NIAID NIH HHS U01AI09919NIAID NIH HHS UM1 AI068632NICHD NIH HHS HHSN267200800001CNIDDK NIH HHS HHSN267200800001GNIDDK NIH HHS N01-DK-9-001/HHSN267200800001C
6 · The paper itself

Abstract

backgroundComputer simulation models can project long-term patient outcomes and inform health policy. We internally validated and then calibrated a model of HIV disease in children before initiation of antiretroviral therapy to provide a framework against which to compare the impact of pediatric HIV treatment strategies.

methodsWe developed a patient-level (Monte Carlo) model of HIV progression among untreated children <5 years of age, using the Cost-Effectiveness of Preventing AIDS Complications model framework: the CEPAC-Pediatric model. We populated the model with data on opportunistic infection and mortality risks from the International Epidemiologic Database to Evaluate AIDS (IeDEA), with mean CD4% at birth (42%) and mean CD4% decline (1.4%/month) from the Women and Infants' Transmission Study (WITS). We internally validated the model by varying WITS-derived CD4% data, comparing the corresponding model-generated survival curves to empirical survival curves from IeDEA, and identifying best-fitting parameter sets as those with a root-mean square error (RMSE) <0.01. We then calibrated the model to other African settings by systematically varying immunologic and HIV mortality-related input parameters. Model-generated survival curves for children aged 0-60 months were compared, again using RMSE, to UNAIDS data from >1,300 untreated, HIV-infected African children.

resultsIn internal validation analyses, model-generated survival curves fit IeDEA data well; modeled and observed survival at 16 months of age were 91.2% and 91.1%, respectively. RMSE varied widely with variations in CD4% parameters; the best fitting parameter set (RMSE = 0.00423) resulted when CD4% was 45% at birth and declined by 6%/month (ages 0-3 months) and 0.3%/month (ages >3 months). In calibration analyses, increases in IeDEA-derived mortality risks were necessary to fit UNAIDS survival data.

conclusionsThe CEPAC-Pediatric model performed well in internal validation analyses. Increases in modeled mortality risks required to match UNAIDS data highlight the importance of pre-enrollment mortality in many pediatric cohort studies.

Indexed as

Computer SimulationModels, BiologicalAdolescentAfricaChildChild, PreschoolFemaleHIV InfectionsHumansInfantMale

Identifiers

PMID24349503
PMCPMC3862684

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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.