Evidence map›Paper›PMID 37313337›Full record

ReviewAnnals of neurosciences2023

The Distribution of Lifestyle Risk Factors Among Patients with Stroke in the Indian Setting: Systematic Review and Meta-Analysis.

Biji P Varkey, Jaison Joseph, Abin Varghese, Suresh K Sharma, Elezebeth Mathews, Manju Dhandapani, Venkata Lakshmi Narasimha, Radha Kuttan, Saleena Shah, Surekha Dabla and 1 more

Abstract readReview
In one paragraph

Review in Annals of neurosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Natural Compounds for Preventing Age-Related Diseases and Cancers.International journal of molecular sciences · 2024
    Review
  3. Review
  4. Review
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

11 authors.

Biji P VarkeyDepartment of Neurology, Postgraduate Institute of Medical Sciences, Pandit Bhagwat Dayal Sharma University of Health Sciences, Rohtak, Haryana, India.
Jaison JosephDepartment of Psychiatric Nursing, College of Nursing, Pandit Bhagwat Dayal Sharma University of Health Sciences, Rohtak, Haryana, India.ORCID https://orcid.org/0000-0002-6628-2165
Abin VargheseCollege of Nursing, AIIMS, Nagpur, India.ORCID https://orcid.org/0000-0002-6274-3876
Suresh K SharmaCollege of Nursing, All India Institute of Medical Sciences (AIIMS), Jodhpur, Rajasthan, India.ORCID https://orcid.org/0000-0003-1214-8865
Elezebeth MathewsDepartment of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, India.
Manju DhandapaniNational Institute of Nursing Education, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, Chandigarh, India.
Venkata Lakshmi NarasimhaDepartment of Psychiatry, All India Institute of Medical Sciences (AIIMS) Deoghar, Jharkhand, India.ORCID https://orcid.org/0000-0001-9111-8714
Radha KuttanCollege of Nursing, Bhopal Memorial Hospital and Research Centre, ICMR, Bhopal, Madhya Pradesh, India.
Saleena ShahGovernment College of Nursing Thiruvananthapuram, Kerala, India.
Surekha DablaDepartment of Neurology, Pandit Bhagwat Dayal Sharma University of Health Sciences, Rohtak, Haryana, India.
Sivashanmugam DhandapaniDepartment of Neurosurgery, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The burden of stroke is increasing in India, but there is limited understanding of the distribution of reported risk factors in the Indian setting. It is vital to generate robust data on these modifiable risk factors to scale up appropriate strategies for the prevention of cerebrovascular diseases in this setting. Summary: The objective of this study is to estimate the overall proportion of life style risk factors of patients with stroke in the Indian setting. We searched PubMed and Google Scholar and relevant studies published till February 2022 were included. The risk of bias assessment was considered for the study selection criterion in the meta-analysis. The publication bias was evaluated by funnel plots and Egger's test. We identified 61 studies in the systematic review and after quality assessment, 36 studies were included for meta-analysis. Random effect model was used due to the significant inconsistency among the included studies (I2 > 97%). The mean age of the participants was 53.84±9.3 years and patients with stroke were predominantly males (64%). Hypertension (56.69%; 95% CI: - 48.45 - 64.58), obesity (36.61%; 95% CI: - 19.31 - 58.23), dyslipidemia (30.6%; 95% CI: - 22 - 40.81) and diabetes mellitus (23.8%; 95% CI: - 18.79 - 29.83) are the leading intermediate conditions associated with stroke. The Physical inactivity - 29.9% (95% CI: - 22.9 - 37.1), history of tobacco use (28.59 %; 95% CI: - 22.22 - 32.94) and alcohol use (28.15 %; 95% CI: - 20.49 - 37.33) were reported as the behavioral risk factors for stroke in this setting. Key Messages: The current meta-analysis provides robust estimates of the life style related risk-factor of stroke in India based on the observational studies conducted from 1994 to 2019. Estimating the pooled analysis of stroke risk factors is crucial to predict the imposed burden of the illness and ascertain the treatment and prevention strategies for controlling the modifiable risk factors in this setting.

Indexed as

IndiaLifestylePatientsRisk factorsStroke

Identifiers

PMID37313337
PMCPMC10259149

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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.