Evidence map›Paper›PMID 35919779›Full record

ArticleGhana medical journal2022

Computed tomography patterns of intracranial infarcts in a Ghanaian tertiary facility.

Emmanuel K M Edzie, Klenam Dzefi-Tettey, Philip N Gorleku, Edmund K Brakohiapa, Peter Appiah-Thompson, Kwasi Agyen-Mensah, Michael K Amedi, Frank Quarshie, Evans Boadi, Joshua M Kpobi and 2 more

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Article in Ghana medical journal, 2022. 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, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

12 authors at 5 institutions in 1 country.

Emmanuel K M EdzieDepartment of Medical Imaging, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Klenam Dzefi-TetteyDepartment of Radiology, Korle Bu Teaching Hospital, 1 Guggisberg Avenue, Accra, Ghana.
Philip N GorlekuDepartment of Medical Imaging, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Edmund K BrakohiapaDepartment of Radiology, University of Ghana Medical School, Accra, Ghana.
Peter Appiah-ThompsonDepartment of Surgery, ENT, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Kwasi Agyen-MensahDepartment of Neurosurgery, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Michael K AmediDepartment of Radiology, 37 Military Hospital, Neghelli Barracks Liberation Road 37, Accra, Ghana.
Frank QuarshieAfrican Institute for Mathematical Sciences (AIMS), Summerhill Estates, East Legon Hills, Santoe, Accra, Ghana.
Evans BoadiDepartment of Radiology, Cape Coast Teaching Hospital, Cape Coast, Ghana.
Joshua M KpobiDepartment of Radiology, Cape Coast Teaching Hospital, Cape Coast, Ghana.
Richard A EdzieDepartment of Medical Imaging, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
Abdul R AsemahDepartment of Medical Imaging, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
University of Cape Coast · GH37 Military Hospital · GHAfrican Institute for Mathematical Sciences Ghana · GHKorle Bu Teaching Hospital · GHUniversity of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the Computed Tomography (CT) patterns of intracranial infarcts. Design: A retrospective cross-sectional study. Setting: The CT scan unit of the Radiology Department, Cape Coast Teaching Hospital (CCTH), from February 2017 to February 2021. Participants: One thousand, one hundred and twenty-five patients with non-contrast head CT scan diagnosis of ischaemic strokes, consecutively selected over the study period without any exclusions. Main outcome measures: Patterns of non-contrast head CT scan of ischaemic strokes. Results: About 50.6% of the study participants were females with an average age of 62.59±13.91 years. Males were affected with ischaemic strokes earlier than females ( Conclusion: Apart from the loss of grey-white matter differentiation, there was no significant association between the other CT scan features and sex. Generally, most of the risk factors and the CT scan features were significantly associated with increasing age. Funding: None declared.

Indexed as

Brain IschemiaDiabetes Mellitus, Type 2HypertensionIschemic StrokeStrokeAgedCross-Sectional StudiesFemaleGhanaHumansInfarctionMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedBrainComputed TomographyGhanaIntracranial InfarctsPatterns

Identifiers

PMID35919779
PMCPMC9334949
OpenAlexW4223978905

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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.