Evidence map›Paper›PMID 31008330›Full record

ArticleEuropean stroke journal2017

Stroke profile and outcome between urban and rural regions of Northwest India: Data from Ludhiana population-based stroke registry.

Paramdeep Kaur, Shweta J Verma, Gagandeep Singh, Rajinder Bansal, Birinder S Paul, Monika Singla, Shavinder Singh, Clarence J Samuel, Meenakshi Sharma, Jeyaraj D Pandian

Erratum issuedAbstract read
In one paragraph

Article in European stroke journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Stroke in India: A systematic review of the incidence, prevalence, and case fatality.International journal of stroke : official journal of the International Stroke Society · 2022
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Surveillance of stroke: a South-East Asia Region (SEAR) perspective.The Lancet regional health. Southeast Asia · 2023
    Review
  6. Review
  7. Article
  8. Article
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  10. Observational
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Paramdeep KaurDepartment of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Vancouver, Canada.
Shweta J VermaStroke Unit, Department of Neurology, Christian Medical College, Ludhiana, India.
Gagandeep SinghDepartment of Neurology, Dayanand Medical College, Ludhiana, India.
Rajinder BansalDepartment of Neurology, Dayanand Medical College, Ludhiana, India.
Birinder S PaulDepartment of Neurology, Dayanand Medical College, Ludhiana, India.
Monika SinglaDepartment of Neurology, Dayanand Medical College, Ludhiana, India.
Shavinder SinghDepartments of Community Medicine, Christian Medical College, Ludhiana, India.
Clarence J SamuelDepartments of Community Medicine, Christian Medical College, Ludhiana, India.
Meenakshi SharmaDivision of Non Communicable Diseases, ICMR, Ansari Nagar, New Delhi, India.
Jeyaraj D PandianStroke Unit, Department of Neurology, Christian Medical College, Ludhiana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe objective of this study is to compare the clinical profile, risk factors, type and outcome of stroke patients in urban and rural areas of Punjab, India.

methodsThe primary data source was from the Ludhiana urban population-based stroke registry. The data of first-ever stroke patients with age ≥18 years were collected using WHO stepwise approach from all hospitals, general practitioners, physiotherapy and scan centres between 26 March 2011 and 25 March 2013.

resultsA total of 4989 patients were included and out of 4989 patients, 3469 (69%) were from urban areas. Haemorrhagic stroke was seen more in rural as compared to urban regions (urban 1104 (32%) versus rural 552 (36%); p = 0.01). There were significant differences seen in stroke risk factors; hypertension (urban 1923 (84%) versus rural 926 (89%); p = 0.001) and hyperlipidaemia (urban 397 (18%) versus rural 234 (23%); p = 0.001) between two groups. In the multivariable analysis the rural patients were more likely to be younger (age < 40 years) (OR: 1.82; 95% CI: 1.24-2.68; p = 0.002), Sikhs (OR: 2.57; 95% CI: 1.26-5.22; p = 0.009), farmers (OR: 9.41; 95% CI: 5.36-16.50; p < 0.001), housewives (OR: 2.71; 95% CI: 1.45-5.06; p = 0.002), and consumed alcohol (OR: 1.57; 95% CI: 1.19-2.06; p = 0.001) as compared to urban patients. In addition, use of imaging was higher in rural patients (OR: 1.99; 95% CI: 1.06-3.74; p = 0.03) as compared to urban patients. DISCUSSION AND

conclusionIn this large cohort of patients, rural and urban differences were seen in risk factors and type of stroke. Stroke prevention strategies need to take into consideration these factors including regional sociocultural practices.

Indexed as

Indiapopulation basedregistryruralstrokeurban

Identifiers

PMID31008330
PMCPMC6453185

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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.