Evidence map›Paper›PMID 28719610›Full record

Trial reportPloS one2017

A decade of HIV care in rural Tanzania: Trends in clinical outcomes and impact of clinic optimisation in an open, prospective cohort.

Fiona Vanobberghen, Emilio Letang, Anna Gamell, Dorcas K Mnzava, Diana Faini, Lameck B Luwanda, Herry Mapesi, Kim Mwamelo, George Sikalengo, Marcel Tanner and 5 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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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

15 authors at 4 institutions in 3 countries.

Fiona VanobberghenDepartment of Epidemiology & Public Health, Swiss Tropical & Public Health Institute, Basel, Switzerland.ORCID http://orcid.org/0000-0002-8908-0953
Emilio LetangDepartment of Epidemiology & Public Health, Swiss Tropical & Public Health Institute, Basel, Switzerland.
Anna GamellDepartment of Epidemiology & Public Health, Swiss Tropical & Public Health Institute, Basel, Switzerland.
Dorcas K MnzavaIfakara Health Institute, Ifakara, Tanzania.
Diana FainiIfakara Health Institute, Ifakara, Tanzania.
Lameck B LuwandaIfakara Health Institute, Ifakara, Tanzania.
Herry MapesiIfakara Health Institute, Ifakara, Tanzania.
Kim MwameloIfakara Health Institute, Ifakara, Tanzania.
George SikalengoIfakara Health Institute, Ifakara, Tanzania.
Marcel TannerDepartment of Epidemiology & Public Health, Swiss Tropical & Public Health Institute, Basel, Switzerland.
Christoph HatzDepartment of Epidemiology & Public Health, Swiss Tropical & Public Health Institute, Basel, Switzerland.
Hansjakob FurrerBern University Hospital, Bern, Switzerland.
Manuel BattegayUniversity of Basel, Basel, Switzerland.
Tracy R GlassDepartment of Epidemiology & Public Health, Swiss Tropical & Public Health Institute, Basel, Switzerland.
KIULARCO Study Group
Ifakara Health Institute · TZSwiss Tropical and Public Health Institute · CHUniversity of Basel · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur objectives were to describe trends in enrolment and clinical outcomes in the open, prospective Kilombero and Ulanga Antiretroviral Cohort (KIULARCO) in the Morogoro region of southern Tanzania, and identify strengths and areas for improvement in the care of HIV-positive individuals in rural Tanzania.

methodsWe included adults (≥15 years) and children (<15 years) enrolled in the cohort in 2005-2014. The cohort underwent significant changes from autumn 2012 to optimise care. We evaluated mortality and loss to follow-up (LTFU) using competing risks methods, ART usage, opportunistic infections (OI), co-infections and laboratory abnormalities.

resultsOverall, 7010 adults and 680 children were enrolled; enrolment peaked in 2008 but has increased steadily since 2011. Among adults (65% female; median age 37 [interquartile range 31-45] years), the proportion referred from hospital wards quadrupled in 2013-14 versus earlier years. 653 (9%) adults died and 2648 (38%) were LTFU; the five-year cumulative probabilities of death and LTFU were 10.3% and 44.0%, respectively. Among children, 69 (10%) died and 225 (33%) were LTFU. The corresponding five-year probabilities were 12.1% and 39.6%. Adult ART use (regardless of eligibility) increased from 5% in 2005 to 89% in 2014 (similarly among children), with 9% on second-line therapy in 2014 (17% of children). OI diagnoses increased over time; tuberculosis prevalence at enrolment quadrupled from 6% in 2011 to 26% in 2014. The proportion of newly-enrolled participants assessed for laboratory abnormalities peaked at nearly 100% in 2014 (from a minimum of 24%), yet abnormality prevalences remained fairly constant.

conclusionsIn this cohort, ART usage improved dramatically and is approaching targets of 90%. Improved screening led to increases in detection of OIs and laboratory abnormalities, suggesting that a large number of these co-morbidities previously went undetected and untreated. Further work will address the high LTFU rates and implications for mortality estimates, and the management and outcomes of co-morbidities.

Indexed as

Outcome Assessment, Health CareAdultAnti-HIV AgentsChildChild, PreschoolCohort StudiesFemaleHIV InfectionsHumansImmune Reconstitution Inflammatory SyndromeMaleOpportunistic InfectionsPatient CareProspective StudiesRural PopulationTanzaniaAnti-HIV Agents

Identifiers

PMID28719610
PMCPMC5515476
OpenAlexW2737863948

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.