Evidence map›Paper›PMID 33031434›Full record

ArticlePloS one2020

Predictors of mortality in treatment experienced HIV-infected patients in northern Tanzania.

Deng B Madut, Lawrence P Park, Jia Yao, Elizabeth A Reddy, Bernard Njau, Jan Ostermann, Kathryn Whetten, Nathan M Thielman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.0field-weighted citation impact, top 59% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

8 authors at 4 institutions in 2 countries.

Deng B MadutDepartment of Medicine, Duke University, Durham, NC, United States of America.ORCID 0000-0003-4023-3928
Lawrence P ParkDepartment of Medicine, Duke University, Durham, NC, United States of America.
Jia YaoCenter for Health Policy and Inequalities Research, Durham, NC, United States of America.
Elizabeth A ReddyDivision of Infectious Disease, SUNY Upstate Medical University, Syracuse, NY, United States of America.
Bernard NjauKilimanjaro Christian Medical University College, Moshi, Tanzania.
Jan OstermannDepartment of Health Services Policy and Management, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, United States of America.
Kathryn WhettenDuke Global Health Institute, Durham, NC, United States of America.
Nathan M ThielmanDepartment of Medicine, Duke University, Durham, NC, United States of America.ORCID 0000-0001-8152-2879
Duke University · USKilimanjaro Christian Medical Centre · TZSUNY Upstate Medical University · USUniversity of South Carolina · US

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI GEORGIA Doris TOMARAS · 2005 to 2026
$50.5M
Ruth L. Kirschstein National Research Service Award (NRSA)- T32T32AI007392 · NIAID · DUKE UNIVERSITY · PI Amy Lynn Corneli, Guido Ferrari · 1990 to 2026
$9.8M
Vanderbilt-Emory-Cornell-Duke Global Health Fellowship Consortium-Expanding Diversity for Global Equity (EDGE)D43TW009337 · FIC · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ALIYU, MUKTAR HASSAN, HEIMBURGER, DOUGLAS CORBETT · 2017 to 2021
$6.3M
Coping With HIV/AIDS in TanzaniaR01MH078756 · NIMH · DUKE UNIVERSITY · PI WHETTEN, KATHRYN · 2007 to 2012
$2.9M
FIC NIH HHS D43 TW009337NIAID NIH HHS P30 AI064518NIAID NIH HHS T32 AI007392NIMH NIH HHS R01 MH078756
6 · The paper itself

Abstract

backgroundWhile factors that drive early mortality among people living with HIV (PLWH) initiating antiretroviral therapy (ART) in sub-Saharan Africa (SSA) have been described, less is known about the predictors of long-term mortality for those with ART experience.

methodsPLWH and on ART attending two HIV treatment clinics in Moshi, Tanzania were enrolled from 2008 through 2009 and followed for 3.5 years. Demographic, psychosocial, and clinical information were collected at enrollment. Plasma HIV RNA measurements were collected annually. Cause of death was adjudicated by two independent reviewers based on verbal autopsy information and medical records. Bivariable and multivariable analyses were conducted using Cox proportional hazard models to identify predictors of mortality.

resultsThe analysis included 403 participants. The median (IQR) age in years was 42 (36-48) and 277 (68.7%) participants were female. The proportion of participants virologically suppressed during the 4 collection time points was 88.5%, 94.7%, 91.5%, and 94.5%. During follow-up, 24 participants died; the overall mortality rate was 1.8 deaths per 100 person-years. Of the deaths, 14 (58.3%) were suspected to be HIV/AIDS related. Predictors of mortality (adjusted hazard ratio, 95% confidence interval) were male sex (2.63, 1.01-6.83), secondary or higher education (7.70, 3.02-19.60), receiving care at the regional referral hospital in comparison to the larger zonal referral hospital (6.33, 1.93-20.76), and moderate to severe depression symptoms (6.35, 1.69-23.87).

conclusionsAs ART coverage continues to expand in SSA, HIV programs should recognize the need for interventions to promote HIV care engagement for men and the integration of mental health screening and treatment with HIV care. Facility-level barriers may contribute to challenges faced by PLWH as they progress through the HIV care continuum, and further understanding of these barriers is needed. The association of higher educational attainment with mortality merits further investigation.

Indexed as

Acquired Immunodeficiency SyndromeAdultAnti-HIV AgentsFemaleHumansMaleMiddle AgedPrognosisTanzaniaAnti-HIV Agents

Identifiers

PMID33031434
PMCPMC7544106
OpenAlexW3092252258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.