Evidence map›Paper›PMID 34728953›Full record

ArticleAnnals of Indian Academy of Neurology

Transient Ischemic Attack (TIA) Incidence with Geographic Information Systems (GIS) Mapping for Stroke Prevention Interventions.

Cynthia Felix, Paramdeep Kaur, Ivy A Sebastian, Gagandeep Singh, Monika Singla, Shavinder Singh, Clarence J Samuel, Shweta J Verma, Jeyaraj D Pandian

Abstract read
In one paragraph

Article in Annals of Indian Academy of Neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Prehospital stroke care in low- and middle-income countries: A World Stroke Organization (WSO) scientific statement.International journal of stroke : official journal of the International Stroke Society · 2025
    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

9 authors.

Cynthia FelixUniversity of Pittsburgh Graduate School of Public Health, 130 De Soto Street, Pittsburgh, PA 15261, USA.
Paramdeep KaurDepartment of Anesthesiology, Pharmacology & Therapeutics, University of British Columbia, Canada.
Ivy A SebastianDepartment of Neurology, Christian Medical College and Hospital, Ludhiana, Punjab, India.
Gagandeep SinghDepartment of Neurology, Dayanand Medical College, Ludhiana, Punjab, India.
Monika SinglaDepartment of Neurology, Dayanand Medical College, Ludhiana, Punjab, India.
Shavinder SinghDepartment of Community Medicine, Christian Medical College and Hospital, Ludhiana, Punjab, India.
Clarence J SamuelDepartment of Community Medicine, Christian Medical College and Hospital, Ludhiana, Punjab, India.
Shweta J VermaDepartment of Neurology, Christian Medical College and Hospital, Ludhiana, Punjab, India.
Jeyaraj D PandianDepartment of Neurology, Christian Medical College and Hospital, Ludhiana, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGIS mapping as a public health tool has been increasingly applied to chronic disease control. While evaluating TIA incidence from an existing regional stroke registry in Ludhiana city, India, we aim to apply the innovative concept of regional TIA GIS mapping for planning targeted stroke prevention interventions.

methodsTIA patient data was obtained from hospitals, scan centers and general practitioners from March 2010 to March 2013 using WHO-Stroke STEPS based surveillance as part of establishing a population-based stroke registry in Ludhiana city. From this registry, patients with TIA (diagnosed by MRI image-based stroke rule-out, or clinically) were chosen and data analyzed.

resultsA total of 138 TIA patients were included in the final analysis. The annual TIA incidence rate for Ludhiana city was 7.13/100,000 (95% confidence interval: 5.52 to 8.74) for 2012-2013. Mean age was 58.5 ± 13.9 years (range: 22-88 years) and 87 (63%) were men. Majority of the TIA cases had anterior circulation TIAs. Hypertension (87.4%) was the most common risk factor. Using Geographic Information System (GIS) mapping, high TIA incidence was seen in central, western, and southern parts and clustering of TIA cumulative incidence was seen in the central part of Ludhiana city.

conclusionIncidence rate of TIA was lower than that expected from a low- and middle-income country (LMIC). TIA GIS mapping, looking at regional localization, can be a novel option for developing targeted, cost-effective stroke prevention programs.

Indexed as

GIS mappingIndiaLMICsstrokeTIA

Identifiers

PMID34728953
PMCPMC8513962

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