Evidence map›Paper›PMID 31344057›Full record

ArticlePloS one2019

Status of HIV-infected patients classified as lost to follow up from a large antiretroviral program in southwest Nigeria.

Mobolanle Balogun, Seema Thakore Meloni, Ugonnaya Ugochinyere Igwilo, Alero Roberts, Ifeoma Okafor, Adekemi Sekoni, Folasade Ogunsola, Phyllis J Kanki, Sulaimon Akanmu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Factors related to loss to follow-up among people living with HIV: a systematic review.Revista do Instituto de Medicina Tropical de Sao Paulo · 2025
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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

9 authors at 3 institutions in 2 countries.

Mobolanle BalogunDepartment of Community Health and Primary Care, College of Medicine of the University of Lagos, Lagos, Nigeria.ORCID 0000-0001-8147-2111
Seema Thakore MeloniDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.
Ugonnaya Ugochinyere IgwiloDepartment of Community Health, Lagos University Teaching Hospital, Lagos, Nigeria.
Alero RobertsDepartment of Community Health and Primary Care, College of Medicine of the University of Lagos, Lagos, Nigeria.ORCID 0000-0002-8755-0974
Ifeoma OkaforDepartment of Community Health and Primary Care, College of Medicine of the University of Lagos, Lagos, Nigeria.
Adekemi SekoniDepartment of Community Health and Primary Care, College of Medicine of the University of Lagos, Lagos, Nigeria.
Folasade OgunsolaDepartment of Medical Microbiology and Parasitology, College of Medicine of the University of Lagos, Lagos, Nigeria.
Phyllis J KankiDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States.
Sulaimon AkanmuDepartment of Haematology and Blood Transfusion, College of Medicine of the University of Lagos, Lagos, Nigeria.
University of Lagos · NGHarvard University · USLagos University Teaching Hospital · NG

Funding

Building Research And Innovation in Nigeria's Science - (BRAINS)D43TW010134 · FIC · COLLEGE OF MEDICINE, UNIVERSITY OF LAGOS · PI OGUNSOLA, FOLASADE TOLULOPE · 2015 to 2020
$3.2M
FIC NIH HHS D43 TW010134
6 · The paper itself

Abstract

backgroundLoss to follow-up (LTFU) is a term used to classify patients no longer being seen in a clinical care program, including HIV treatment programs. It is unclear if these patients have transferred their care services elsewhere, died, or if there are other reasons for their LTFU. To better understand the status of patients meeting the criteria of LTFU, we traced a sample of HIV-infected patients that were LTFU from the Lagos University Teaching Hospital (LUTH) antiretroviral program.

methodsWe conducted a cross-sectional study of HIV-infected adult patients who enrolled for care between 2010 and 2014 at LUTH and were considered LTFU. Patients with locator information were traced using phone calls. Face-to-face interviews were used to collect data from successfully traced and consenting participants. Predictors of LTFU from LUTH, disengagement from care and willingness to re-engage in care in LUTH were assessed.

resultsOf 6108 registered patients, 3397 (56%) were LTFU and being unmarried was a predictor of being LTFU from LUTH. Of 425 patients that were traced, 355 (84%) were alive and 70 (16%) were dead. Two hundred and sixty-eight patients consented to interviews; 96 (35.8%) of these had transferred to another clinic for care while 172 (64.2%) were disengaged from care. More than half (149/268; 55.6%) were not on antiretroviral therapy (ART). Some of the primary reasons for LTFU were; long distance to clinic (56%) and feeling healthy (6.7%). Predictor of disengagement from care within the interviewed cohort was not having started ART. The predictors of willingness to re-engage in care included, not having started ART, male sex and longer duration in HIV care prior to LTFU.

conclusionMost of the interviewed cohort that was LTFU were truly disengaged from care and not on ART. Interventions are required to address processes of re-engagement of patients that are LTFU.

Indexed as

AdultAnti-HIV AgentsCell Phone UseCross-Sectional StudiesFemaleHIV InfectionsHospitals, TeachingHumansInterviews as TopicLost to Follow-UpMaleMiddle AgedNigeriaRisk AssessmentAnti-HIV Agents

Identifiers

PMID31344057
PMCPMC6657856
OpenAlexW2963404214

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.