Evidence map›Paper›PMID 40528387›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2025

Factors associated with delay to diagnosis of multiple sclerosis in Zambia.

Malya Sahu, Mashina Chomba, Dominique Mortel, Sarah Braun, Lorraine Chishimba, Frighton Mutete, Naluca Mwendaweli, Coolwe Namangala, Stanley Zimba, Deanna Saylor

Abstract read
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Malya SahuDepartment of Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, NC, USA.ORCID 0009-0004-1875-5679
Mashina ChombaUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.ORCID 0000-0001-9491-6025
Dominique MortelUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.
Sarah BraunUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.ORCID 0009-0007-8493-3121
Lorraine ChishimbaUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.
Frighton MuteteUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.ORCID 0000-0002-7478-013X
Naluca MwendaweliUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.ORCID 0000-0003-4126-8970
Coolwe NamangalaUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.
Stanley ZimbaUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.
Deanna SaylorUniversity of Zambia, University Teaching Hospital, Lusaka, Zambia.ORCID 0000-0002-9297-0244

Funding

UJMT – ORWH – Gazzetta, Issa-BoubeD43TW009340 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI William Checkley, Benjamin H. Chi · 2017 to 2026
$14.8M
Adaptation and Implementation of Clinical Practice Guidelines to Improve Stroke Outcomes in ZambiaK01TW011771 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SAYLOR, DEANNA RAE · 2021 to 2025
$1.1M
FIC NIH HHS D43 TW009340FIC NIH HHS K01 TW011771
6 · The paper itself

Abstract

BACKGROUND/

objectivesDelays to diagnosis of multiple sclerosis (MS) are largely unknown in sub-Saharan Africa. This study utilizes a quantitative approach to determine factors independently associated with delays to diagnosis among a cohort of Zambian people with MS.

methodsThis cross-sectional study enrolled people with a confirmed diagnosis of MS at a public outpatient neurology clinic in Lusaka, Zambia. Standardized surveys were administered. Diagnostic delay was categorized into patient delay, health-system delay, and all delay. A multivariable linear regression model was used to determine factors independently associated with time to diagnosis.

resultsA total of 22 participants had a confirmed diagnosis of MS. Median all delay from symptom onset to MS diagnosis was 11.4 months (interquartile range (IQR) = 4-35.5), with health-system delay accounting for the majority. Asian race correlated with a decrease in all delay, while evaluation outside of Zambia was associated with a decrease in patient delay and birthplace outside of Zambia correlated with decreased health-system delay.

conclusionBlack African people born in Zambia and evaluated in Zambia experienced prolonged diagnostic delays when compared to non-black Zambians born and/or evaluated outside Zambia, likely due to a combination of health system and patient factors, which necessitate further study to shorten time to diagnosis.

Indexed as

Delayed DiagnosisMultiple SclerosisAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedYoung AdultZambiademyelinationepidemiologyMRIMultiple sclerosisquality of liferelapsing/remitting

Identifiers

PMID40528387
PMCPMC12353679

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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.