Evidence map›Paper›PMID 39085763›Full record

ArticleBMC infectious diseases2024

COVID-19 screening as an opportunity to find TB cases; experiences from an urban National Referral Hospital in Kampala, Uganda.

Fred C Semitala, Rodgers Katwesigye, Dennis Kalibbala, Mary Mbuliro, Lalitha Rejani, Darius Owachi, Edgar Atine, Stavia Turyahabwe, Moorine P Sekadde

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Impact of the COVID-19 pandemic on tuberculosis program performance in Alberta, Canada: a population-based evaluation.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  2. 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

9 authors.

Fred C Semitala *Department of Internal Medicine, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda. semitala@gmail.com.
Rodgers Katwesigye *Makerere University Joint AIDS Program (MJAP), Kampala, Uganda.
Dennis KalibbalaMakerere University Joint AIDS Program (MJAP), Kampala, Uganda.
Mary MbuliroMakerere University Joint AIDS Program (MJAP), Kampala, Uganda.
Lalitha RejaniDepartment of Internal Medicine, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Darius OwachiKiruddu National Referral Hospital Kampala, Kampala, Uganda.
Edgar AtineMakerere University Joint AIDS Program (MJAP), Kampala, Uganda.
Stavia TuryahabweNational Tuberculosis and Leprosy Program, Ministry of Health Uganda, Kampala, Uganda.
Moorine P SekaddeNational Tuberculosis and Leprosy Program, Ministry of Health Uganda, Kampala, Uganda.

Funding

Building Implementation Science Capacity at Makerere University to Strengthen the Response to the HIV/AIDS Epidemic in UgandaD43TW010037 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KAMYA, MOSES ROBERT, SEMITALA, FRED C · 2015 to 2025
$3.3M
FIC NIH HHS D43 TW010037
6 · The paper itself

Abstract

backgroundFollowing the World Health Organization's declaration of COVID-19 as a global pandemic, several countries implemented population-wide lockdowns. However, these responses to COVID-19 caused severe healthcare system disruptions to service delivery. The TB case notification rate in Uganda decreased by 22% between January and April 2020, which coincided with a lockdown and an increase in COVID-19 cases. In this study, we tested the effect of screening all patients with both COVID-19-positive and negative symptom screen for TB at a National Referral Hospital. DESIGN/

methodsFollowing our formative assessment, we identified potential barriers to and facilitators of integrating screening for COVID-19 and TB at Kiruddu National Referral Hospital. To address the barriers, in February 2021 we trained healthcare providers on integrated COVID-19-TB screening tools and provided COVID-19/TB screening tools/Standard operating procedures and personal protective equipment. From March 1, 2021, to June 30, 2021, we screened patients presenting to the emergency and outpatient departments for COVID-19 symptoms, and subsequently, we performed TB symptom screening for both patients with COVID-19 positive and negative symptom screen using the intensified tuberculosis case-finding (ICF) guide. We then compared the outcomes of TB symptom screening for patients initially with a positive COVID-19 symptom screen with those who initially had a negative COVID-19 symptom screen.

resultsFrom March 2021 to June 2021, we screened 1464 patients (44.3% male and 55.7% female) for COVID-19 symptoms. Out of these participants, 1252 (85.5%) screened positive for COVID-19 symptoms, while 212 (14.5%) screened negative. The majority of patients with a positive COVID-19 symptom screen, 717 (57.3%), also screened positive for TB symptoms compared to 19 (8.9%) among patients with a negative COVID-19 symptom screen. Out of the total 736 presumptive TB cases identified, 717 (97.4%) initially screened positive for COVID-19 symptoms. TB was diagnosed in 110 individuals including 104 who had positive COVID-19-symptom screen and six who had a negative COVID-19 symptom screen. All of the 110 newly diagnosed TB cases were linked to TB treatment.

conclusionsPatients who screen positive for COVID-19 symptoms should be routinely screened for TB to mitigate missed opportunities for TB case identification.

Indexed as

COVID-19Mass ScreeningAdolescentAdultAgedFemaleHumansMaleMiddle AgedSARS-CoV-2TuberculosisUgandaYoung AdultCOVID-19Integrated screeningTuberculosis

Identifiers

PMID39085763
PMCPMC11292873

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.