Evidence map›Paper›PMID 40741694›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2025

Demographic and Clinical Profiles of Parkinson's Disease in India: Observations from a Nation-Wide Multicenter Study.

Asha Kishore, Rupam Borgohain, Divya Kalikavil Puthenveedu, Roopa Rajan, Pramod Kumar Pal, Rukmini-Mridula Kandadai, Ravi Yadav, Sahil Mehta, Hrishikesh Kumar, Niraj Kumar and 18 more

Abstract readMulticenter Study
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. Article
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

28 authors.

Asha KishoreDepartment of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.ORCID https://orcid.org/0000-0003-3292-1544
Rupam BorgohainDepartment of Neurology, Nizams Institute of Medical Sciences, Hyderabad, India.
Divya Kalikavil PuthenveeduDepartment of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
Roopa RajanDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.ORCID https://orcid.org/0000-0003-4987-7252
Pramod Kumar PalDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India.
Rukmini-Mridula KandadaiDepartment of Neurology, Nizams Institute of Medical Sciences, Hyderabad, India.ORCID https://orcid.org/0000-0002-4840-5715
Ravi YadavDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India.
Sahil MehtaDepartment of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0002-5915-8334
Hrishikesh KumarDepartment of Neurology, Institute of Neurosciences, Kolkata, India.ORCID https://orcid.org/0000-0002-9789-7832
Niraj KumarDepartment of Neurology, All India Institute of Medical Sciences, Rishikesh, India.ORCID https://orcid.org/0000-0002-5863-2532
Prashanth Lingappa KukkleDepartment of Neurology, Manipal Hospital, Bengaluru, India.ORCID https://orcid.org/0000-0002-4610-947X
Soaham DesaiDepartment of Neurology, Shree Krishna Hospital, Pramukhswami Medical College, Karamsad, India.
Kuldeep ShettyDepartment of Neurology, Mazumdar Shaw Medical Center, Bangalore, India.
Pettarusp WadiaDepartment of Neurology, Jaslok Hospital and Research Center, Mumbai, India.
Annu AggarwalDepartment of Neurology, Kokilaben Dhirubhai Ambani Hospital and Medical Research Institute, Mumbai, India.ORCID https://orcid.org/0000-0003-3096-3206
Pankaj Ashok AgarwalDepartment of Neurology, Gleneagles Global Hospital, Mumbai, India.ORCID https://orcid.org/0000-0002-1490-1155
Mirza Masoom AbbasDepartment of Neurosciences, Aster Cauvery Medical Institute, Bangalore, India.
Syam KrishnanDepartment of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.ORCID https://orcid.org/0000-0002-2889-2771
Divya Madathiparambil RadhakrishnanDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.ORCID https://orcid.org/0000-0002-0641-7398
Gurusidheswar Mahadevappa WaliNeurospecialties Center, India.
Achal SrivastavaDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.ORCID https://orcid.org/0000-0002-4590-7947
Nitish KambleDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, India.ORCID https://orcid.org/0000-0002-7933-8826
Teresa Maria D Costa FerreiraDepartment of Neurology, Medical College Goa, Bambolim, India.
Vivek LalDepartment of Neurology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Ashwin Ashok Kumar SreelathaCenter for Genetic Epidemiology, Institute of Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany.ORCID https://orcid.org/0000-0001-7113-9278
Luis-Giraldo Gonzalez-RicardoCenter for Genetic Epidemiology, Institute of Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany.
Manas ChackoDepartment of Neurology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India.
Manu SharmaCenter for Genetic Epidemiology, Institute of Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany.ORCID https://orcid.org/0000-0002-1260-5416

Funding

Michel J Fox Foundation 009411
6 · The paper itself

Abstract

backgroundParkinson's disease (PD) phenotype may vary with genetic, ethno-geographic, cultural, and environmental factors.

objectivesThe aim was to develop a clinical database of PD in India and assess the influence of age-at-onset (AAO), gender, and motor subtype on the clinical profile of PD.

methodsA cross-sectional study of PD was conducted across 18 Indian hospitals. Standardized assessments were performed by movement disorder specialists. Data were collected using uniform questionnaires during the recruitment visit. A total of 3300 age- and gender-matched case-control pairs were analyzed for environmental exposures, habits, and co-morbidities.

resultsWe recruited 7918 PD cases with a mean AAO of 54.2 ± 11.8 years and a median disease duration of 5 years (interquartile range: 2-9). Subgroup analyses based on AAO, gender, and motor phenotype revealed significant differences in motor and non-motor symptoms, exposures, habits, and co-morbidities. Except coffee consumption, previously known associations were observed for exposure to insecticides/pesticides/fungicides (odds ratio [OR]: 1.67), head injury (OR: 3.11), coffee consumption (OR: 1.73), diabetes (OR: 1.48), hypertension (OR: 1.73), and smoking (OR: 0.74) in the Indian population.

conclusionsThis large pan-Indian study highlights the clinical characteristics, environmental exposures, habits, and comorbid diseases associated with PD, which were broadly similar to those observed in European populations. The earlier AAO in Indian PD patients suggests a potentially higher genetic risk, warranting further investigation. A nationwide, community-based, epidemiological study is needed to achieve a comprehensive understanding of all risk factors for PD in India and to validate the risk factors identified in this hospital-based study. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Indexed as

Parkinson DiseaseAdultAgedAge of OnsetCase-Control StudiesComorbidityCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedAge at onsetgenderMotor subtypeNonmotor symptomsParkinsons diseaseRisk factors

Identifiers

PMID40741694
PMCPMC12553997

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LicenceCC BY-NC-ND
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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.