Evidence map›Paper›PMID 25136842›Full record

ArticleAIDS (London, England)2014

Advanced disease at enrollment in HIV care in four sub-Saharan African countries: change from 2006 to 2011 and multilevel predictors in 2011.

Susie Hoffman, Yingfeng Wu, Maria Lahuerta, Sarah Gorrell Kulkarni, Harriet Nuwagaba-Biribonwoha, Wafaa El Sadr, Robert H Remien, Veronicah Mugisha, Mark Hawken, Ema Chuva and 3 more

Abstract read
In one paragraph

Article in AIDS (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Outcomes of HIV-positive patients lost to follow-up in African treatment programmes.Tropical medicine & international health : TM & IH · 2017
    Pooled it
  2. Pooled it
  3. Trends in CD4 count at presentation to care and treatment initiation in sub-Saharan Africa, 2002-2013: a meta-analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2015
    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

13 authors.

Susie HoffmanaHIV Center for Clinical and Behavioral Studies at the NYS Psychiatric Institute and Columbia University bDepartment of Epidemiology, Mailman School of Public Health, Columbia University cICAP-Columbia University, Mailman School of Public Health dEpidemiology and Biostatistics Program, CUNY School of Public Health, New York, USA eMinistry of Health, Maputo, Mozambique.
Yingfeng Wu
Maria Lahuerta
Sarah Gorrell Kulkarni
Harriet Nuwagaba-Biribonwoha
Wafaa El Sadr
Robert H Remien
Veronicah Mugisha
Mark Hawken
Ema Chuva
Denis Nash
Batya Elul
LSTART Team and the Identifying Optimal Models of HIV Care Collaboration

Funding

The Statistics, Data Science, and Data Management (SDM) CoreP30MH043520 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Claude Ann Mellins · 2003 to 2026
$48.2M
TECHNICAL ASSISTANCE IN SUPPORT OF HIV PREVENTION, CARE AND TREATMENT PROGRAMSU2GPS001537 · PS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JUSTMAN, JESSICA · 2009 to 2014
$13.6M
Multi-level determinants of late ART initiation in sub-Saharan AfricaR01MH089831 · NIMH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ELUL, BATYA ORIT · 2010 to 2014
$3.6M
Pathways to Engagement in HIV-Care for Newly-Diagnosed South AfricansR01MH083561 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HOFFMAN, SUSIE · 2009 to 2012
$2.4M
NCHHSTP CDC HHS U2G PS001537NIMH NIH HHS P30 MH043520NIMH NIH HHS R01 MH083561NIMH NIH HHS R01 MH089831
6 · The paper itself

Abstract

objectivesTo examine changes between 2006 and 2011 in the proportion of HIV-positive patients newly enrolled in HIV care with advanced disease and the median CD4 cell count at enrollment; and identify patient, facility, and contextual-level factors associated with late enrollment in care in 2011.

designCross-sectional over time.

methodsFor time-trends analyses, routinely collected patient-level data (307 110 adults newly enrolled in 138 HIV clinical care facilities) in Kenya, Mozambique, Rwanda and Tanzania; and for analyses of correlates, patient-level data (46 201 in 195 facilities), and facility and population-level survey data were used. Late enrollment was defined as CD4 cell count 350 cells/μl or less and/or WHO clinical stage 3/4.

resultsLate enrollment declined from 69.9 to 57.2% (P < 0.0001); median CD4 cell count increased from 242 to 292 cells/μl (Ptrend < 0.0001). In 2011, risk of late enrollment was significantly higher for men and nonpregnant women vs. pregnant women; patients aged above 25 vs. 15-25 years; nonmarried vs. married; and those entering from sites other than prevention of mother-to-child transmission. More extensive HIV testing coverage in the region of a facility was significantly associated with lower risk of late enrollment.

conclusionsDespite improvement, in 2011, 57% of patients entered HIV care who were already antiretroviral therapy-eligible. The lower risk of late enrollment among those referred from prevention of mother-to-child transmission and in regions where HIV testing coverage was higher suggests that innovative approaches to rapidly increase testing uptake among people living with HIV prior to the development of symptoms have the potential to reduce late enrollment in care.

Indexed as

Delayed DiagnosisAdolescentAdultAfrica South of the SaharaAgedAged, 80 and overAnti-Retroviral AgentsCD4 Lymphocyte CountCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMiddle AgedPregnancyYoung AdultAnti-Retroviral Agents

Identifiers

PMID25136842
PMCPMC4361092

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.