Evidence map›Paper›PMID 20224418›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2010

Population attributable fractions for late postnatal mother-to-child transmission of HIV-1 in Sub-Saharan Africa.

Ying Q Chen, Alicia Young, Elizabeth R Brown, Charles S Chasela, Susan A Fiscus, Irving F Hoffman, Megan Valentine, Lynda Emel, Taha E Taha, Robert L Goldenberg and 1 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.5field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Antiretroviral interventions for preventing breast milk transmission of HIV.The Cochrane database of systematic reviews · 2014
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. HIV knowledge, disclosure and sexual risk among pregnant women and their partners in rural South Africa.SAHARA J : journal of Social Aspects of HIV/AIDS Research Alliance · 2013
    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

11 authors at 7 institutions in 2 countries.

Ying Q ChenStatistical Center for HIV/AIDS Research and Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. yqchen@scharp.org
Alicia Young
Elizabeth R Brown
Charles S Chasela
Susan A Fiscus
Irving F Hoffman
Megan Valentine
Lynda Emel
Taha E Taha
Robert L Goldenberg
Jennifer S Read
Fred Hutch Cancer Center · USUniversity of North Carolina at Chapel Hill · USDrexel University · USFamily Health International 360 · USJohns Hopkins University · USKamuzu Central Hospital · MWNational Institutes of Health · US

Funding

International Maternal Pediatric Adolescent AIDS Clinical Trials (IMPAACT) GroupU01AI068632 · NIAID · SOCIAL AND SCIENTIFIC SYSTEMS, INC. · PI JACKSON, J BROOKS · 2006 to 2010
$109.7M
HIV PREVENTION TRIALS UNIT--MALAWIU01AI048005 · NIAID · JOHNS HOPKINS UNIVERSITY · PI TAHA, TAHA E · 2000 to 2006
$37.6M
UAB-ZAMBIA-HAITI HIV PREVENTION TRIALS UNITU01AI047972 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI STRINGER, JEFFREY SAMUEL ALLEN · 2000 to 2006
$16.5M
HIV PREVENTION TRIALS UNITU01AI048006 · NIAID · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI FAWZI, WAFAIE W · 2000 to 2005
$14.3M
Statistical Methods in HIV/AIDS ResearchR01AI089341 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHEN, YING QING · 2010 to 2012
$1.3M
STATISTICAL &CLINICAL COORDINATING CENTER (SC)N01AI045200 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SELF, STEVEN G. · 1994 to 2000
$853k
INTNL.VACC.EFFICACY TRIALS MASTER CONTRACT (IMC)N01AI035173 · NIAID · FAMILY HEALTH INTERNATIONAL · PI CATES, WILLARD · 1993 to 2000
$0k
NIAID NIH HHS N01 AI035173NIAID NIH HHS N01 AI045200NIAID NIH HHS O1-AI-35173-117/412NIAID NIH HHS R01 AI089341NIAID NIH HHS U01 AI047972NIAID NIH HHS U01 AI048005NIAID NIH HHS U01 AI048006NIAID NIH HHS U01 AI068632NIAID NIH HHS U01-AI-47972NIAID NIH HHS U01-AI-48005NIAID NIH HHS U01-AI-48006
6 · The paper itself

Abstract

objectivesAssess population attributable fractions (PAFs) for late postnatal transmission (LPT) of HIV-1 in a cohort of HIV-1-exposed infants.

methodsWe used data established from a risk factor analysis of LPT (negative HIV-1 results through the 4-6 week visit, but positive assays thereafter through the 12-month visit) from a perinatal clinical trial conducted in 3 sub-Saharan countries. PAFs were calculated as the proportions of excess LPTs attributed to identified risk factors.

resultsFor the cohort of 1317 infants, 206 (15.6%) had only low maternal CD4 counts (<200 cells/mm), 332 (25.2%) had only high maternal plasma viral loads (VLs) (>50,000 copies/mL), and 81 (6.2%) had both low CD4 counts and high VLs. Their PAFs were 26.0% [95% confidence interval (CI): 12.0% to 36.0%], 37.0% (95% CI: 22.0% to 51.0%), and 16.0% (95% CI: 6.0% to 25.0%), respectively.

conclusionsOur PAF analysis illustrates the public health impact of the substantial proportion of LPTs accounted for by high-risk women with both low CD4 counts and high VLs. In light of these results, access to and use of antiretroviral therapy by high-risk HIV-1-infected pregnant women is essential. Additional strategies to reduce LPT for those not meeting criteria for antiretroviral therapy should be implemented.

Indexed as

HIV-1Infectious Disease Transmission, VerticalAfrica South of the SaharaCD4 Lymphocyte CountCohort StudiesFemaleHIV InfectionsHumansInfantPregnancyRisk Factors

Identifiers

PMID20224418
PMCPMC3086731
OpenAlexW2109422100

What OpenQuestion holds

Textmetadata
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.