Evidence map›Paper›PMID 35793651›Full record

ArticleCerebrovascular diseases extra2022

Treatment in a Stroke Unit and Risk Factor Control Reduce Recurrent Stroke Risk.

S D Shani, Ravi Prasad Varma, Sankara P Sarma, R S Sreelakshmi, Ramachandran Harikrishnan, V Raman Kutty, P N Sylaja

Open access · goldAbstract read
In one paragraph

Article in Cerebrovascular diseases extra, 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
1.1field-weighted citation impact, top 23% 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, 8 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

7 authors at 2 institutions in 1 country.

S D ShaniSree Chitra Tirunal Institute for Medical Sciences and Technology (SCTIMST), Thiruvananthapuram, India.
Ravi Prasad VarmaAchutha Menon Centre for Health Sciences Studies (AMCHSS), SCTIMST, Thiruvananthapuram, India.
Sankara P SarmaDepartment of Biostatistics, AMCHSS, SCTIMST, Thiruvananthapuram, India.
R S SreelakshmiDepartment of Neurology, SCTIMST, Thiruvananthapuram, India.
Ramachandran HarikrishnanDepartment of Neurology, SCTIMST, Thiruvananthapuram, India.
V Raman KuttyAmala Cancer Research Centre, Thrissur, India.
P N SylajaDepartment of Neurology, SCTIMST, Thiruvananthapuram, India.
Sree Chitra Thirunal Institute for Medical Sciences and Technology · INAmala Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRisk factor control is an important predictor of risk of stroke recurrence. The attributable fraction which estimates the excess risk among the exposed stroke survivors has not been studied previously. We studied the attributable fraction for stroke recurrence in consecutive incident cases of recurrent stroke.

methodsA case-control study with incident cases of recurrent stroke and controls matched for age and poststroke period was done. A structured interview was done to collect data on sociodemographic variables, lifestyle, and medication adherence. The risk factors, treatment of index stroke, and outcome were collected. Logistic regression analysis was done to find out the factors associated with stroke recurrence. Attributable fraction and average attributable fraction were calculated.

resultsAmong the 103 matched pairs, more than 70% were rural residents. Male gender (OR 2.59; 95% CI 1.05-6.42), the presence of depression (OR 8.67; 95% CI 2.80-26.84), memory problem (OR 10.12; 95% CI 2.48-41.34), uncontrolled diabetes (OR 3.19; 95% CI 1.42-7.19), cardioembolic stroke (OR 4.45; 95% CI 1.12-17.62), and index stroke not being treated in a stroke unit (OR 6.60; 95% CI 2.86-15.23) were associated with increased risk of stroke recurrence. The maximum average attributable fraction for stroke recurrence risk was attributed to index stroke not being treated in the stroke unit and uncontrolled diabetes.

conclusionThe index stroke treated in a comprehensive stroke care unit and control of risk factors can reduce recurrent stroke risk among stroke survivors. This population-attributable risk is important in planning secondary stroke prevention strategies.

Indexed as

Diabetes MellitusStrokeCase-Control StudiesCerebral InfarctionHumansMaleRisk FactorsAverage attributable fractionRisk factor controlStroke recurrenceStroke unit

Identifiers

PMID35793651
PMCPMC9574205
OpenAlexW4284891839

What OpenQuestion holds

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LicenceCC BY-NC
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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.