Evidence map›Paper›PMID 33907641›Full record

ArticleCureus2021

Evaluation of the Anatomical Locations of Stroke Events From Computed Tomography Scan Examinations in a Tertiary Facility in Ghana.

Emmanuel K Edzie, Klenam Dzefi-Tettey, Philip Gorleku, Adu Tutu Amankwa, Ewurama Idun, Edmund K Brakohiapa, Obed Cudjoe, Frank Quarshie, Richard A Edzie, Abdul R Asemah

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Sex comparison of cerebrovascular reactivity to COJournal of applied physiology (Bethesda, Md. : 1985) · 2026
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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

10 authors at 5 institutions in 2 countries.

Emmanuel K EdzieMedical Imaging, University of Cape Coast School of Medical Sciences, Cape Coast, GHA.
Klenam Dzefi-TetteyRadiology, Korle-Bu Teaching Hospital, Accra, GHA.
Philip GorlekuMedical Imaging, University of Cape Coast School of Medical Sciences, Cape Coast, GHA.
Adu Tutu AmankwaRadiology, Komfo Anokye Teaching Hospital, Kumasi, GHA.
Ewurama IdunRadiology, 37 Military Hospital, Accra, GHA.
Edmund K BrakohiapaRadiology, University of Ghana Medical School, Accra, GHA.
Obed CudjoeAnatomical Sciences, University of Cape Coast School of Medical Sciences, Cape Coast, GHA.
Frank QuarshieEpidemiology and Public Health, African Institute for Mathematical Sciences (AIMS), Accra, GHA.
Richard A EdzieMedical Imaging, University of Cape Coast School of Medical Sciences, Cape Coast, GHA.
Abdul R AsemahMedical Imaging, University of Cape Coast School of Medical Sciences, Cape Coast, GHA.
37 Military Hospital · GHUniversity of Cape Coast · GHKorle Bu Teaching Hospital · GHKomfo Anokye Teaching Hospital · GHUniversity Radiology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Stroke events are leading causes of mortalities globally and currently increasing alarmingly in low- and middle-income nations including Ghana, thus overburdening national healthcare delivery sectors. This trend is predicted to ultimately have an impact on the socio-economic development of these countries, thus gaining the attention of policy-makers and implementers. This study was therefore conducted to evaluate the anatomical locations of stroke events from CT scan examinations and the possibly associated variables to assist in managing this non-communicable pandemic. Methods All computed tomography (CT) scans performed for stroke events at the Cape Coast Teaching Hospital from June 2016 to June 2020 were retrieved and reviewed for this study. The socio-demographics and the presence of hypertensive risk factor were also retrieved. Data were then collated, grouped, coded, inputted, and used for analysis. Chi-square test of independence was employed for assessing possible associations, and logistic regression analysis was performed to predict the anatomical locations of stroke events using sex and hypertension. Statistical significance level was specified at p ≤ 0.05. Results A total of 1,750 stroke cases were recorded during the study period, comprising 1,237 (70.7%) ischemic strokes and 513 (29.3%) hemorrhagic strokes. Majority (54.3%) of the patients were males. The average age of participants was 62.46±14.74 years. Basal ganglia (43.0%), parietal lobe (26.7%), and frontal lobe (6.9%) were the commonest anatomical locations. The elderly (≥ 60 years) were significantly affected at the basal ganglia (p=0.006), parietal lobe (p=0.005), frontal lobe (p=0.013), temporal lobe (p=0.048), and cerebellum (p=0.049). Basal ganglia lesions were significantly recorded in men, whereas lesions located at the pons were significantly seen in females. The regression model revealed that the risk of stroke at the pons increased by 2.155-folds in males (p=0.043; 95% CI=1.026-4.528). Generally, gender and hypertension were not significant predictors of stroke lesion locations. Conclusions The basal ganglia area, which falls under the middle cerebral artery territory, was the commonest anatomical location for stroke events in our setting. Knowing the anatomical locations of these stroke events has an impact on the type of interventions needed, especially at the early stages of these stroke events. CT perfusion, CT angiography, and magnetic resonance imaging (MRI) with MR angiography (MRA) when available can further assist in determining the exact cause so that urgent interventions such as endovascular treatments can be offered.

Indexed as

anatomical locationscomputed tomography scanghanastroke events

Identifiers

PMID33907641
PMCPMC8065308
OpenAlexW3137360189

What OpenQuestion 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 OpenQuestion graph.