Evidence map›Paper›PMID 39266999›Full record

ArticleBMC public health2024

Elevated risk of pre-diabetes and diabetes in people with past history of COVID-19 in northeastern Nigeria.

Roland I Stephen, Jennifer A Tyndall, Hsing-Yu Hsu, Jing Sun, Nura Umaru, Jamiu S Olumoh, Oyelola A Adegboye, Olah U Owobi, Todd T Brown

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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.

Roland I StephenDepartment of Internal Medicine, Modibbo Adama University Teaching Hospital, Yola, Adamawa State, Nigeria.
Jennifer A TyndallDepartment of Natural and Environmental Sciences, American University of Nigeria, Yola, Adamawa State, Nigeria.
Hsing-Yu HsuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Jing SunDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Nura UmaruDepartment of Medicine, Federal Teaching Hospital, Gombe, Gombe State, Nigeria.
Jamiu S OlumohDepartment of Mathematics and Statistics, American University of Nigeria, Yola, Adamawa State, Nigeria.
Oyelola A AdegboyeMenzies School of Public Health, Charles Darwin University, Casuarina, NT, 0810, Australia. oyelola.adegboye@menzies.edu.au.
Olah U OwobiPro-Health International, Abuja, Nigeria.
Todd T BrownDivision of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University, Baltimore, MD, USA.

Funding

Mentoring in Endocrine and Metabolic Abnormalities in HIV and AgingK24AI120834 · NIAID · JOHNS HOPKINS UNIVERSITY · PI BROWN, TODD T · 2015 to 2025
$1.8M
Collaboration on HIV and AgingResearch through the Study of MitochondriaK01AI162247 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Jing Sun · 2022 to 2026
$677k
NIAID NIH HHS K01 AI162247NIAID NIH HHS K24 AI120834
6 · The paper itself

Abstract

backgroundAn increased risk of diabetes mellitus (DM) after COVID-19 has been reported in the United States, Europe, and Asia. The burden of COVID-related DM has yet to be described in Africa, where the overall risk of DM has been increasing rapidly. Our objective was to compare the prevalence of pre-DM and DM in Nigerian individuals with a history of COVID-19 to individuals without known COVID-19 infection.

methodsWe undertook a retrospective cohort study with 256 individuals with a past medical history of COVID-19 with no history of pre-DM or DM and 256 individuals without a history of COVID-19 or pre-DM/DM. Participants were categorized as pre-DM (fasting capillary glucose 100-125 mg/dL) or DM (fasting capillary glucose ≥ 126 mg/dL). We employed univariate and multivariable logistic regression to identify key predictors and adjust for confounders related to hyperglycaemia risk factors. Additionally, we used multinomial logistic regression to analyze the relationship between COVID-19 history and diabetes status, distinguishing between normal, pre-diabetic, and diabetic glucose levels. All models were adjusted for age, gender, hypertension, physical activity, central adiposity, and family history of DM.

resultsCompared to the control group, those with a history of COVID-19 had a similar median age (38 vs. 40 years, p = 0.84), had a higher proportion of men (63% vs. 49%), and had a lower prevalence of central adiposity (waist: hip ratio ≥ 0.90 for males and WHR ≥ 0.85 for females) (48% vs. 56.3%, p = 0.06). Of the 256 with a history of COVID-19, 44 (17%) required in-patient care. The median (interquartile range) time interval between COVID-19 diagnosis and the glycaemic assessment was 19 (IQR: 14, 24) months. Pre-DM prevalence was 27% in the post-COVID-19 group and 4% in the control group, whereas the prevalence of DM was 7% in the post-COVID-19 group and 2% in the control group. After multivariable adjustment, the odds of pre-DM were 8.12 (95% confidence interval (CI): 3.98, 16.58; p < 0.001) higher, and the odds of DM were 3.97 (95% CI: 1.16, 13.63) higher in those with a history of COVID-19 compared to controls. In the adjusted multinomial logistic regression analysis, individuals with a history of COVID-19 exhibited significantly elevated risks for pre-diabetes (RRR = 7.55, 95% CI: 3.76-15.17) and diabetes (RRR = 3.44, 95% CI: 1.01-11.71) compared to those without COVID-19.

conclusionPrevious COVID-19 was found to be a risk factor for prevalent pre-diabetes and diabetes mellitus in Nigeria. More intensive screening for DM in those with a history of COVID-19 should be considered.

Indexed as

COVID-19Diabetes MellitusPrediabetic StateAdultFemaleHumansMaleMiddle AgedNigeriaPrevalenceRetrospective StudiesRisk FactorsSARS-CoV-2COVID-19Diabetes MellitusGlycaemic AssessmentNigeriaRisk factors

Identifiers

PMID39266999
PMCPMC11391620

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.