Evidence map›Paper›PMID 30532360›Full record

ArticleAnnals of Indian Academy of Neurology

Epidemiological Survey of Neurological Diseases in a Tribal Population Cluster in Gujarat.

Khushnuma A Mansukhani, Maria A Barretto, Sharmila A Donde, Jagruti Wandrekar, Advaita Nigudkar, Ridhi Nair

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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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

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

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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

6 authors.

Khushnuma A MansukhaniConsultant Neurophysiologist, Bombay Hospital, Mumbai, Maharashtra, India.
Maria A BarrettoCEO, Parkinson's Disease and Movement Disorder Society, Mumbai, Maharashtra, India.
Sharmila A DondeDirector-Community Development and Training, Neurology Foundation, Mumbai, Maharashtra, India.
Jagruti WandrekarResearch Consultant, Neurology Foundation, Mumbai, Maharashtra, India.
Advaita NigudkarResearch Consultant, Neurology Foundation, Mumbai, Maharashtra, India.
Ridhi NairPsychologist, Neurology Foundation, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are few community-based neuroepidemiological studies based in tribal communities. This cross-sectional community-based study explored the prevalence rates of neurological disorders in the tribal region of Kaparada in Gujarat. METHODOLOGY: A two-stage methodology was used. Door-to-door surveys were conducted in the villages of Moti Vahiyal, Arnai, and Chavshala in Kaparada taluka in the Valsad district. Trained volunteers administered a questionnaire that assessed demographic details and common neurological symptoms in children and adults. Data were obtained from 8217 individuals from 1464 households using the questionnaire in stage 1. A number of 615 individuals reported at least one symptom. In stage 2, a team of neurologists conducted a medical camp to assess those "screened in" for neurological disorders.

resultsThe crude prevalence rate for neurological disorders in general was found to be 2592.19/100,000. The prevalence rates for lower motor neuron diseases were highest (1010.1), and the rates of epilepsy, movement disorders, stroke, vertigo, headaches, upper motor neuron diseases, and mental and behavioral disorders were found to be 255.6, 133.9, 109.53, 170.38, 511.4, 109.53, and 292.08/100,000, respectively. Age- and sex-specific rates and patterns varied for different disorders.

conclusionThe prevalence rates of most disorders were found to be lower than those reported elsewhere, but age and sex prevalence patterns were similar to existing research. Challenges in conducting such a study in a remote population are discussed.

Indexed as

Indianeuroepidemiologyneurological disordersprevalencetribal

Identifiers

PMID30532360
PMCPMC6238552

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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.