Evidence map›Paper›PMID 40703905›Full record

ArticleNigerian medical journal : journal of the Nigeria Medical Association

Neuroimaging Findings and Their Prognostic Value in Acute Ischaemic Stroke Patients at University of Maiduguri Teaching Hospital (UMTH), Borno State, Nigeria.

Iko Musa, Musa Joseph, Zakka Musa, Vinah Vivian Kehinde, David Adesoye Tunwagun, Rita Chineze Igweike, Cynthia Udan Kawai, Jeremiah Maina Yaga, Ibrahim Khalil Ja'afar, Mercy Akwum Olokpo and 6 more

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Article in Nigerian medical journal : journal of the Nigeria Medical Association. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

16 authors.

Iko MusaDepartment of Community Medicine, University of Jos, Jos, Plateau State.
Musa JosephDepartment of Internal Medicine, Neurology Unit, University of Maiduguri Teaching Hospital, Maiduguri, Borno State.
Zakka MusaDepartment of Community Medicine, Ahmadu Bello University, Zaria, Kaduna State.
Vinah Vivian KehindeDepartment of Radiology, Jos University Teaching Hospital (JUTH), Jos, Plateau State.
David Adesoye TunwagunDepartment of Community Medicine, University of Jos, Jos, Plateau State.
Rita Chineze IgweikeDepartment of Community Medicine, University of Jos, Jos, Plateau State.
Cynthia Udan KawaiDepartment of Community Medicine, University of Jos, Jos, Plateau State.
Jeremiah Maina YagaDepartment of Community Medicine, University of Maiduguri Teaching Hospital, Maiduguri, Borno State.
Ibrahim Khalil Ja'afarDepartment of Community Medicine, University of Maiduguri Teaching Hospital, Maiduguri, Borno State.
Mercy Akwum OlokpoDepartment of Chemistry, University of Jos, Jos, Plateau State.
Grace Manmak PaulDepartment of Community Medicine, University of Jos, Jos, Plateau State.
Ifeoma Lauretta ChukwuDepartment of Clinical Services, Intercountry Centre for Oral Health for Africa, Jos, Plateau State.
Patience Ungut KanhuDepartment of Paediatrics, Jos University Teaching Hospital (JUTH), Jos, Plateau State.
Innocent Onyekachi AmanumDepartment of Restorative Dentistry, University of Jos.
Yusuf YakubDepartment of Internal Medicine, Neurology Unit, Federal Medical Centre, Asaba, Delta State.
Wisdom Onyemaechi MogboluFamily Health International (fhi360), Maiduguri, Borno State.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate prediction of stroke outcomes in resource-limited settings remains challenging. This study assessed the utility of neuroimaging findings in predicting mortality among acute ischaemic stroke patients at the University of Maiduguri Teaching Hospital, Nigeria. Methodology: This prospective study enrolled 171 consecutive adults with acute ischaemic stroke between January and December 2023. All patients underwent non-contrast brain CT scanning, with infarct volume calculated using standardized measurements. The primary outcome was 30-day mortality. Multivariate logistic regression analysis identified independent predictors of mortality, which were used to develop a risk stratification system. Results: Large infarct volume (>100,000 mm Conclusion: Specific neuroimaging parameters can effectively predict early mortality in acute ischaemic stroke. The developed risk stratification tool could improve patient care in resource-limited settings.

Indexed as

Acute Ischemic StrokeMortalityNeuroimagingNigeriaPrognosisRisk Stratification

Identifiers

PMID40703905
PMCPMC12280294

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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.