Evidence map›Paper›PMID 41476911›Full record

ArticleGeoHealth2026

Seasonal and Meteorological Influences on Stroke Incidence and Outcomes in a Tropical Urban Setting: A 10-Year Retrospective Study in Douala, Cameroon.

Annick Melanie Magnerou, Daniel Massi Gams, Agnès Laurella Stevie Matega, Eric Lamou Bila Gueumekane, Victor Sini, Jacques Narcisse Doumbe, Callixte Kuate-Tegueu, Yacouba Njankouo Mapoure

Abstract read
In one paragraph

Article in GeoHealth, 2026. 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. 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

8 authors.

Annick Melanie MagnerouFaculty of Medicine and Pharmaceutical Sciences University of Douala Douala Cameroon.ORCID https://orcid.org/0000-0003-4557-1002
Daniel Massi GamsFaculty of Medicine and Pharmaceutical Sciences University of Douala Douala Cameroon.
Agnès Laurella Stevie MategaFaculty of Medicine and Pharmaceutical Sciences University of Douala Douala Cameroon.
Eric Lamou Bila GueumekaneFaculty of Medicine and Pharmaceutical Sciences University of Douala Douala Cameroon.
Victor SiniDepartment of Clinical Science Institut Supérieur de Technologie Médicale of Nkolondom Yaounde Cameroon.
Jacques Narcisse DoumbeFaculty of Medicine and Pharmaceutical Sciences University of Douala Douala Cameroon.
Callixte Kuate-TegueuNeurology Department Laquintinie Hospital in Douala Douala Cameroon.
Yacouba Njankouo MapoureFaculty of Medicine and Pharmaceutical Sciences University of Douala Douala Cameroon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climatic factors may influence stroke patterns, but data from sub-Saharan Africa are scarce. This study assessed the relationship between weather variables and stroke incidence, severity, mortality, and hospital stay in Douala, Cameroon. A retrospective review was conducted using medical records from three referral hospitals in Douala from January 2011 to December 2020. Adults (≥18 years) with neuroimaging-confirmed ischemic or hemorrhagic strokes were included. Weather data: temperature, humidity, wind speed, precipitation, atmospheric pressure, and sunshine duration, were obtained from the national meteorological agency (ASECNA). Associations between weather parameters and stroke-related outcomes were analyzed using univariate and multivariate logistic regression. Among 1,349 stroke cases (mean age 61 ± 13 years; 53% male), 65% were ischemic strokes. Stroke incidence peaked during the long rainy season (

Indexed as

influencestrokesub‐Saharan Africaweather

Identifiers

PMID41476911
PMCPMC12748930

What OpenQuestion holds

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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.