ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025
Burden of Parkinson's disease in Iran: disparities, trends, and the impact of social development indicators.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Progressive Cognitive Decline and Pyramidal Signs in a Patient With a Novel Homozygous c.395A>T; p.Lys132Met Mutation in CHCHD2.Clinical case reports · 2026Article
- Parkinson's disease mortality and years of potential life lost in Iran: A 10-year national analysis (2013-2023).Journal of public health research · 2026Article
- Designing the core competence model of health managers based on the approach of using management assessment centers in health care system.Journal of education and health promotion · 2026Article
- The effect of probiotic supplementation on constipation in patients with Parkinson's disease: A randomized controlled trial.Current journal of neurology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundThe burden of Parkinson's disease (PD) and its provincial trends in Iran remain unknown. Herein, we explore PD data from the Global Burden of Disease (GBD) study nationally and provincially from 1990 to 2021.
methodsWe used age-standardized incidence (ASIR), prevalence (ASPR), and mortality (ASMR) rates to determine disparities and trends overall and by sex, age, and geographic locations. Univariate analysis and regression were performed to scrutinize the mean differences and associations between socioeconomic factors and different PD outcomes.
resultsThe ASIR and ASPR of PD increased by 23.1% and 33.2%, respectively, from 1990 to 2021, with estimated total percentage change (TPC) of 0.50 (95%CU: 0.58-0.43) and 0.30 (0.37-0.24), respectively. In 2021, East Azarbayejan had the highest ASIR and ASPR. From 1999 to 2021, the ASMR decreased significantly across individuals aged below 85 years nationally. Overall, 71.0% provinces experienced a downward trend in the ASMR, with the highest decrease in the TPC (-0.21,-0.37-0.01) occurring in Markazi. Significant differences in the PD outcomes between males and females were noted (P < 0.05). There was a significant positive association between the ASPR and the human development index (HDI), urbanization rate, and annual income per rural households.
conclusionFrom 1999 to 2021, the incidence and prevalence of PD in Iran and its provinces increased significantly regardless of age and sex classification. Intervention and screening programs should continue to reduce mortality from PD in Iran, but with different priorities between provinces.
Indexed as
Identifiers
40317438What OpenQuestion holds
Registered trials
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.