Evidence map›Paper›PMID 29988689›Full record

ArticleHIV/AIDS (Auckland, N.Z.)2018

Trends, treatment outcomes, and determinants for attrition among adult patients in care at a large tertiary HIV clinic in Nairobi, Kenya: a 2004-2015 retrospective cohort study.

Jared O Mecha, Elizabeth N Kubo, Lucy W Nganga, Peter N Muiruri, Lilian N Njagi, Syokau Ilovi, Richard Ngethe, Immaculate Mutisya, Evelyn W Ngugi, Elizabeth Maleche-Obimbo

Abstract read
In one paragraph

Article in HIV/AIDS (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

10 authors.

Jared O MechaDepartment of Clinical Medicine & Therapeutics, University of Nairobi School of Medicine, Nairobi, Kenya, jared.mecha@uonbi.ac.ke.
Elizabeth N KuboDepartment of Clinical Medicine & Therapeutics, University of Nairobi School of Medicine, Nairobi, Kenya, jared.mecha@uonbi.ac.ke.
Lucy W NgangaThe Palladium Group, Nairobi, Kenya.
Peter N MuiruriKenyatta National Hospital, Nairobi, Kenya.
Lilian N NjagiDepartment of Clinical Medicine & Therapeutics, University of Nairobi School of Medicine, Nairobi, Kenya, jared.mecha@uonbi.ac.ke.
Syokau IloviDepartment of Clinical Medicine & Therapeutics, University of Nairobi School of Medicine, Nairobi, Kenya, jared.mecha@uonbi.ac.ke.
Richard NgetheThe Palladium Group, Nairobi, Kenya.
Immaculate MutisyaDivision of Global HIV and TB (DGHT), US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Evelyn W NgugiDivision of Global HIV and TB (DGHT), US Centers for Disease Control and Prevention (CDC), Nairobi, Kenya.
Elizabeth Maleche-ObimboDepartment of Clinical Medicine & Therapeutics, University of Nairobi School of Medicine, Nairobi, Kenya, jared.mecha@uonbi.ac.ke.

Funding

PS10-1004: PARTNERSHIP FOR ADVANCED CARE AND TREATMENT COLLABORATION TO SUPPORTU2GPS002182 · PS · UNIVERSITY OF NAIROBI · PI NGUMI, ZIPPORAH · 2010 to 2016
$21.9M
NCHHSTP CDC HHS U2G PS002182
6 · The paper itself

Abstract

backgroundUnderstanding trends in patient profiles and identifying predictors for adverse outcomes are key to improving the effectiveness of HIV care and treatment programs. Previous work in Kenya has documented findings from a rural setting. This paper describes trends in demographic and clinical characteristics of antiretroviral therapy (ART) treatment cohorts at a large urban, referral HIV clinic and explores treatment outcomes and factors associated with attrition during 12 years of follow-up.

methodsThis was a retrospective cohort analysis of HIV-infected adults who started ART between January 1, 2004, and September 30, 2015. ART-experienced patients and those with missing data were excluded. The Cochran-Armitage test was used to determine trends in baseline characteristics over time. Cox proportional hazards models were used to determine the effect of baseline characteristics on attrition.

resultsART uptake among older adolescents (15-19 years), youth, and young adults increased over time (

conclusionAlthough ART uptake among adolescents and young people increased over time, this group was at increased risk for attrition. Single marital status, urban residence, history of hospitalization or OI, and delayed initiation of ART also predicted attrition. This calls for focused evidence-informed strategies to address attrition and improve outcomes.

Indexed as

adolescentsantiretroviral therapyattritionelectronic medical recordslost to follow-uprisk factorsurban

Identifiers

PMID29988689
PMCPMC6029585

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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.