Evidence map›Paper›PMID 25834533›Full record

ArticleAfrican health sciences2015

Stroke mortality and its predictors in a Nigerian teaching hospital.

Bertha Ekeh, Adesola Ogunniyi, Emmanuel Isamade, Udeme Ekrikpo

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Article in African health sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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48citing papers in PubMed, 2 pooled it
–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

48 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  13. Diabetes Mellitus as a risk factor for stroke among Nigerians: A systematic review and meta-analysis.International journal of cardiology. Cardiovascular risk and prevention · 2023
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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

4 authors.

Bertha EkehUniversity of Uyo Teaching Hospital, Internal Medicine.
Adesola OgunniyiUniversity College, Ibadan, Internal Medicine.
Emmanuel IsamadeJos University Teaching Hospital, Internal Medicine.
Udeme EkrikpoUniversity of Uyo Teaching Hospital, Internal Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is the third leading cause of death worldwide. Stroke mortality has been noted to be higher in blacks in biracial studies. There have been few studies on stroke mortality and its predictors in Nigeria. This study examines mortality of stroke and its predictors in a Northern Nigerian teaching hospital.

methodsThis was a prospective study that was carried out at Jos University Teaching Hospital in Nigeria. One hundred and twenty stroke patients admitted into the medical wards within one year were assessed. Demographic data was recorded. Patients were examined and ancillary investigations were carried out. The deaths and predictors were recorded. Multivariate logistic regression was used to identify independent predictors of mortality.

resultsThere were one hundred and twenty participants. Forty two (35%), patients died. Most (76.2%) deaths occurred within the first week. Predictors of mortality on univariate analysis were age ≥ 60 years, male sex, loss of consciousness, high NIHSS score (≥16), the presence of co-morbid conditions and presence of complications. On multivariate analysis, the predictors of mortality were the presence of co-morbid conditions, GCS<10 and high NIHSS score.

conclusionStroke mortality was quite high in this study. Predictors of mortality were the indices of severity and the presence of co-morbid conditions.

Indexed as

AdultAgedAged, 80 and overComorbidityDiabetes Mellitus, Type 2FemaleHospitalizationHospitals, TeachingHumansHypertensionIntracranial HemorrhagesLogistic ModelsMaleMiddle AgedMultivariate AnalysisNigeriaCo-morbid conditionsLevel of consciousnessMortalityNational Institute of Health Stroke Scale (NIHSS score)PredictorsStroke

Identifiers

PMID25834533
PMCPMC4370132

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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.