Evidence map›Paper›PMID 32255796›Full record

ArticlePloS one2020

Determinants of loss to follow-up among HIV positive patients receiving antiretroviral therapy in a test and treat setting: A retrospective cohort study in Masaka, Uganda.

Julius Kiwanuka, Jacinta Mukulu Waila, Methuselah Muhindo Kahungu, Jonathan Kitonsa, Noah Kiwanuka

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 55 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 4 pooled it
1.4field-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

55 citing papers in PubMed, 4 syntheses or guidelines pooled it, 87 citations in OpenAlex.

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  3. 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

5 authors at 1 institution in 1 country.

Julius KiwanukaAIDS Healthcare Foundation, Kampala, Uganda.ORCID 0000-0001-9442-1719
Jacinta Mukulu WailaDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University Kampala, Uganda.
Methuselah Muhindo KahunguAIDS Healthcare Foundation, Kampala, Uganda.
Jonathan KitonsaDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University Kampala, Uganda.
Noah KiwanukaDepartment of Epidemiology and Biostatistics, School of Public Health, Makerere University Kampala, Uganda.
Makerere University · UG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRetaining patients starting antiretroviral therapy (ART) and ensuring good adherence remain cornerstone of long-term viral suppression. In this era of test and treat (T&T) policy, ensuring that patients starting ART remain connected to HIV clinics is key to achieve the UNAIDS 90-90-90 targets. Currently, limited studies have evaluated the effect of early ART initiation on loss to follow up in a routine health care delivery setting. We studied the cumulative incidence, incidence rate of loss to follow up (LTFU), and factors associated with LTFU in a primary healthcare clinic that has practiced T&T since 2012.

methodsWe retrospectively analyzed extracted routine program data on patients who started ART from January 2012 to 4th July 2016. We defined LTFU as failure of a patient to return to the HIV clinic for at least 90 days from the date of their last appointment. We calculated cumulative incidence, incidence rate and fitted a multivariable Cox proportion hazards regression model to determine factors associated with LTFU.

resultsOf the 7,553 patients included in our sample, 3,231 (42.8%) started ART within seven days following HIV diagnosis. There were 1,180 cases of LTFU observed over 15,807.7 person years at risk. The overall incidence rate (IR) of LTFU was 7.5 (95% CI, 7.1-7.9) per 100 person years of observation (pyo). Cumulative incidence of LTFU increased with duration of follow up from 8.9% (95% CI, 8.2-9.6%) at 6 months to 20.2% (95% CI, 19.0-21.4%) at 48 months. Predictors of elevated risk of LTFU were: starting ART within 7 days following HIV diagnosis ((aHR) = 1.69, 95% CI, 1.50-1.91), lack of a telephone set (aHR = 1.52, 95% CI, 1.35-1.71), CD4 cell count of 200-350μ/ml (aHR = 1.21, 95% CI, 1.01-1.45) and baseline WHO clinical stage 3 or 4 (aHR = 1.35, 95% CI, 1.10-1.65). Factors associated with a reduced risk of LTFU were: baseline age ≥25 years (aHR ranging from 0.62, 95% CI, 0.47-0.81 for age group 25-29 years to 0.24, 95% CI, 0.13-0.44 for age group ≥50 years), at least primary education level (aHR ranging from aHR = 0.77, 95% CI, 0.62-0.94 for primary education level to 0.50, 95% CI, 0.34-0.75 for post-secondary education level), and having a BMI ≥ 30 (aHR = 0.28, 95% CI, 0.15-0.51).

conclusionThe risk of loss to follow up increased with time and was higher among patients who started ART within seven days following HIV diagnosis, higher among patients without a telephone set, lower among patients aged ≥ 25 years, lower among patients with at least primary education and lower among patients with BMI of ≥ 30. In this era of T&T, it will be important for HIV programs to initiate and continue enhanced therapeutic education programs that target high risk groups, as well as leveraging on mHealth to improve patients' retention on ART throughout the cascade of care.

Indexed as

AdultAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountFemaleHIV InfectionsHumansIncidenceLost to Follow-UpMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk FactorsUgandaAnti-HIV Agents

Identifiers

PMID32255796
PMCPMC7138304
OpenAlexW3014802233

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.