Evidence map›Paper›PMID 38389045›Full record

ArticleBMC infectious diseases2024

Tuberculosis and diabetes mellitus comorbidity in an adult Ugandan population.

Davis Kibirige, Irene Andia-Biraro, Ronald Olum, Susan Adakun, Stella Zawedde-Muyanja, Christine Sekaggya-Wiltshire, Ivan Kimuli

Open access · goldAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Influence of Diabetes Mellitus on the Development of Multidrug-Resistant Tuberculosis (MDR-TB) in Relation With Genetic Mutations ofThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Article
  3. Review
  4. ImpairedFrontiers in immunology · 2024
    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

7 authors at 4 institutions in 1 country.

Davis KibirigeDepartment of Medicine, Uganda Martyrs Hospital Lubaga, Kampala, Uganda. kibirigedavis@gmail.com.
Irene Andia-BiraroDepartment of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Ronald OlumMakerere University School of Public Health, Kampala, Uganda.
Susan AdakunAdult Tuberculosis ward, Mulago National Referral and Teaching Hospital, Kampala, Uganda.
Stella Zawedde-MuyanjaThe Infectious Diseases Institute, College of Health Sciences, Makerere University Kampala, Kampala, Uganda.
Christine Sekaggya-WiltshireThe Infectious Diseases Institute, College of Health Sciences, Makerere University Kampala, Kampala, Uganda.
Ivan KimuliDepartment of Physiology, College of Health Sciences, Makerere University Kampala, Kampala, Uganda.
Makerere University · UGInfectious Diseases Institute · UGMulago Hospital · UGUganda Virus Research Institute · UG

Funding

HIV Co-infections in Uganda: TB, Cryptococcus, and Viral Hepatitis.D43TW009771 · FIC · JOHNS HOPKINS UNIVERSITY · PI CASTELNUOVO, BARBARA, KAMBUGU, ANDREW DDUNGU · 2014 to 2023
$3.3M
FIC NIH HHS D43 TW009771
6 · The paper itself

Abstract

backgroundDiabetes mellitus (DM) has a direct impact on the clinical manifestation and prognosis of active tuberculosis disease (TB) and is known to increase the chance of developing the condition. We sought to determine the prevalence of DM in adult Ugandan patients with recently diagnosed TB and the associated sociodemographic, anthropometric, and metabolic characteristics of TB-DM comorbidity.

methodsIn this cross-sectional study conducted at the adult TB treatment centres of three tertiary healthcare facilities in Uganda, we screened adult participants with recently diagnosed TB (diagnosed in < 2 months) for DM. All participants were screened with five tests; initially with a random blood glucose (RBG) test, and then later with fasting blood glucose (FBG), laboratory-based glycated hemoglobin (HbA1c), point-of-care (POC) HbA1c, and oral glucose tolerance test (OGTT) if the RBG was ≥ 6.1 mmol/l. The WHO guidelines for diagnosing and managing DM were used to support the DM diagnosis. To identify the factors associated with DM-TB comorbidity, logistic regression was used.

resultsA total of 232 participants with recently diagnosed TB were screened for DM. Of these, 160 (69%) were female. The median (IQR) age, body mass index, and RBG of all study participants was 35 (27-42) years, 19.2 (17.6-21.3) kg/m2, and 6.1 (5.5-7.2) mmol/l, respectively. About half of the participants (n = 117, 50.4%) had RBG level ≥ 6.1 mmol/l. Of these, 75 (64.1%) participants returned for re-testing. Diabetes mellitus was diagnosed in 32 participants, corresponding to a prevalence of 13.8% (95% CI 9.9-18.9). A new diagnosis of DM was noted in 29 (90.6%) participants. On logistic regression, age ≥ 40 years was associated with increased odds of TB and DM comorbidity (AOR 3.12, 95% CI 1.35-7.23, p = 0.008) while HIV coinfection was protective (AOR 0.27, 95% CI 0.10-0.74, p = 0.01).

conclusionTB and DM comorbidity was relatively common in this study population. Routine screening for DM in adult Ugandan patients with recently diagnosed TB especially among those aged ≥ 40 years and HIV-negative patients should be encouraged in clinical practice.

Indexed as

Diabetes MellitusTuberculosisAdultBlood GlucoseComorbidityCross-Sectional StudiesFemaleGlycated HemoglobinHumansMalePrevalenceUgandaBlood GlucoseGlycated HemoglobinAssociated factorsCharacteristicsDiabetes mellitusSub-saharan AfricaTuberculosisUganda

Identifiers

PMID38389045
PMCPMC10885501
OpenAlexW4392041503

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.