Evidence map›Paper›PMID 27130578›Full record

Observational studyJournal of the Pediatric Infectious Diseases Society2017

Misclassification of Antiretroviral Treatment Failure Using WHO 2006 and 2010/2013 Immunologic Criteria in HIV-Infected Children and Adolescents in Western Kenya.

Elizabeth M Dufort, Allison K DeLong, Marita Mann, Winstone M Nyandiko, Samuel O Ayaya, Joseph W Hogan, Rami Kantor

Abstract readObservational Study
In one paragraph

Observational study in Journal of the Pediatric Infectious Diseases Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Elizabeth M DufortGlobal Institute for Health and Human Rights, State University of New York at Albany.
Allison K DeLongCenter for Statistical Sciences, School of Public Health, Brown University.
Marita MannPharmaceutical Outcomes Research and Policy Program, University of Washington, Seattle.
Winstone M NyandikoDepartment of Child Health and Pediatrics, School of Medicine, College of Health Sciences, Moi University and Moi Teaching and Referral Hospital, Eldoret, Kenya.
Samuel O AyayaDepartment of Child Health and Pediatrics, School of Medicine, College of Health Sciences, Moi University and Moi Teaching and Referral Hospital, Eldoret, Kenya.
Joseph W HoganCenter for Statistical Sciences, School of Public Health, Brown University.
Rami KantorDivision of Infectious Diseases, Brown University Alpert Medical School, Providence, Rhode Island.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Optimizing HIV Treatment Monitoring under Resource ConstraintsR01AI108441 · NIAID · BROWN UNIVERSITY · PI HOGAN, JOSEPH W, KANTOR, RAMI · 2015 to 2019
$3.5M
NIAID NIH HHS P30 AI042853NIAID NIH HHS R01 AI108441
6 · The paper itself

Abstract

We evaluated treatment failure misclassification in human immunodeficiency virus-infected Kenyan children whose targeted viral loads were determined after suspected immunologic/clinical failure according to 2006 and 2010/2013 World Health Organization guidelines. The misclassification rate was 21% for the 2006 guidelines and 46% for the 2010/2013 guidelines, which supports current recommendations for routine viral load monitoring but not necessarily the proposed CD4 thresholds.

Indexed as

AdolescentAnti-HIV AgentsChildChild, PreschoolDrug Resistance, ViralFemaleHIV InfectionsHumansKenyaMaleRetrospective StudiesTreatment FailureViral LoadAnti-HIV Agentsfailurepediatric HIVtreatment

Identifiers

PMID27130578
PMCPMC5907858

What OpenQuestion holds

Textmetadata
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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.