Evidence map›Paper›PMID 41200528›Full record

ArticleJournal of public health in Africa2025

COVID-19 incidence among Kenyan patients with and without inflammatory rheumatic disease.

Benwillies Onchong'a, Tuulikki Sokka-Isler, Pekka Mäntyselkä, Ari Voutilainen

Abstract read
In one paragraph

Article in Journal of public health in Africa, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Benwillies Onchong'aInstitute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0001-8985-9847
Tuulikki Sokka-IslerInstitute of Clinical Medicine, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0002-6972-5603
Pekka MäntyselkäInstitute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0002-5236-1815
Ari VoutilainenInstitute of Public Health and Clinical Nutrition, Faculty of Health Sciences, University of Eastern Finland, Kuopio, Finland.ORCID https://orcid.org/0000-0002-0664-2675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammatory rheumatic diseases (IRDs) have been considered potential risk factors for COVID-19, but evidence from Africa remains limited. Aim: To investigate the association between IRDs and COVID-19 among general patients after hospital discharge in Nairobi, Kenya. Setting: The prospective cohort study was conducted at Mbagathi County Hospital, a major public hospital in Nairobi, Kenya. Methods: Patients were classified as IRD and non-IRD cases based on admission diagnosis. After discharge, 348 IRD and 2951 non-IRD patients were followed up for 2 years or until death. Cox proportional hazard models adjusted for baseline characteristics were executed to predict COVID-19 hazard in patients with versus without IRDs. Results: The cohort included 46.2% women. IRD patients were older (mean 64 years vs. 62 years; Conclusion: Inflammatory rheumatic diseases did not increase COVID-19 risk in this Kenyan cohort. Contribution: This study provides valuable African data on IRDs and COVID-19 risk, reflecting potential regional features in clinical practice and public health strategies.

Indexed as

comorbidityCOVID-19hazard ratioincidenceinflammatory rheumatic diseasesKenyarisk factors

Identifiers

PMID41200528
PMCPMC12587191

What Socratic 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 Socratic graph.