Evidence map›Paper›PMID 40841537›Full record

ArticleNPJ Parkinson's disease2025

A report of the Iranian Parkinson's disease registry.

Mehri Salari, Masoud Etemadifar, Alireza Vakilian, Ahmad Chitsaz, Kaveh Shafiei, Seyed Masoud Nabavi, Afshin Samaei, Atiye Riasi, Fatemeh Hojjatipour

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mehri SalariFunctional Neurosurgery Research Center, Shohada Tajrish Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Masoud EtemadifarNeurology Department, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Alireza VakilianNeurology Department, School of Medicine, Non-Communicable Disease Research Center, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.
Ahmad ChitsazNeurology Department, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Kaveh ShafieiDepartment of Neurology, Kerman University of Medical Sciences, Kerman, Iran.
Seyed Masoud NabaviCell Science Research Center, Royan Institute, Tehran, Iran.
Afshin SamaeiDepartment of Neurology, Semnan University of Medical Sciences, Semnan, Iran.
Atiye RiasiDepartment of Biomedical Engineering, Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran.
Fatemeh HojjatipourShahid Beheshti University of Medical Sciences, Tehran, Iran. Fatemehhojjati.fh@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Millions of people worldwide suffer from Parkinson's disease (PD), which has a varying distribution and features in each country. Since there is a shortage of data regarding PD patients in Iran, we present a registry-based study to deepen our understanding of Iranian PD patients' characteristics, distribution, and clinical differences between genders and different ages of onset. In six years, 4048 patients were interviewed, who had a mean age of 67.66 years, and consisted of 1474 (36.4%) females and 2571 (63.5%) males. Men suffered more from apathy, speech, handwriting, and salivation, while women experienced more anxiety, depression, pain, and psychosis, after multivariable regression. Early-onset Parkinson's disease (EOPD) and late-onset Parkinson's disease (LOPD) were divided based on the 50-year-old cut-off age. They were represented by 989 (24.6%) and 2834 (70%) of the total, respectively, and EOPD patients had a higher duration of the disease and a higher positive family history.

Identifiers

PMID40841537
PMCPMC12370882

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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.