Evidence map›Paper›PMID 32896140›Full record

ArticleSouth African family practice : official journal of the South African Academy of Family Practice/Primary Care2020

Acute stroke in the emergency department: A chart review at KwaZulu-Natal hospital.

Steve G Feris, Bavani Naicker

Abstract read
In one paragraph

Article in South African family practice : official journal of the South African Academy of Family Practice/Primary Care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Access to acute stroke care: A retrospective descriptive analysis of stroke patients' journey to a district hospital.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2022
    Article
  2. Article
  3. 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

2 authors.

Steve G FerisDivision of Emergency Medicine, School of Clinical Medicine, University of KwaZulu-Natal, Durban. sferis1614@gmail.com.
Bavani Naicker

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is the second leading cause of death worldwide. There is limited literature detailing the clinical profile of stroke in developing countries' emergency departments (EDs). The aim of this study is to describe the demographics and risk factors of patients presenting with stroke to an ED in South Africa.

methodsThis study was a retrospective chart review of all patients with a clinical diagnosis of stroke presenting to an ED of a regional hospital in rural KwaZulu-Natal from November 2018 to November 2019.

resultsA total of 362 patient charts were screened, and 136 of the charts met the inclusion criteria for the study. Seventy per cent of the patients had pre-existing hypertension, only one patient was not on treatment and two patients were not on secondary prevention. In human immunodeficiency virus-positive patients (20.5%; n = 28), 17 patients were under 50 years old. The most common finding on computer tomography was ischemic strokes (74%, n = 100). Thrombolysis was given to five patients included in the study. The overall in-hospital mortality rate was 4.06%.

conclusionThis study adds to the limited data about stroke in South Africa. Our population represents a unique blend of infectious and lifestyle disease. More research in this setting is recommended to develop local guidelines on emergency stroke care.

Indexed as

StrokeEmergency Service, HospitalHospitalsHumansMiddle AgedRetrospective StudiesSouth Africaemergency medicineneurologyprimary carerural healthstroke

Identifiers

PMID32896140
PMCPMC8378012

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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.