Evidence map›Paper›PMID 34259973›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Burden of Parkinson's disease in Sicily: a health administrative database study.

Calogero Edoardo Cicero, Salvatore Scondotto, Alessandra Vincenza Allotta, Giovanni De Luca, Giuseppe Murolo, Alessandra Nicoletti, Mario Zappia

Abstract read
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. 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. Burden of Parkinson's disease in Iran: disparities, trends, and the impact of social development indicators.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  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

7 authors.

Calogero Edoardo CiceroDepartment of Medical, Surgical and Advanced Technologies, G.F. Ingrassia, Section of Neurosciences, University of Catania, Catania, Italy.
Salvatore ScondottoHealth Activities and Epidemiologic Observatory Division, Health Department, Sicily Region, Palermo, Italy.
Alessandra Vincenza AllottaHealth Activities and Epidemiologic Observatory Division, Health Department, Sicily Region, Palermo, Italy.
Giovanni De LucaHealth Activities and Epidemiologic Observatory Division, Health Department, Sicily Region, Palermo, Italy.
Giuseppe MuroloHealth Activities and Epidemiologic Observatory Division, Health Department, Sicily Region, Palermo, Italy.
Alessandra NicolettiDepartment of Medical, Surgical and Advanced Technologies, G.F. Ingrassia, Section of Neurosciences, University of Catania, Catania, Italy.
Mario ZappiaDepartment of Medical, Surgical and Advanced Technologies, G.F. Ingrassia, Section of Neurosciences, University of Catania, Catania, Italy. m.zappia@unict.it.ORCID http://orcid.org/0000-0002-8298-9486

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevalence of Parkinson's disease (PD) increases with the advanced ages, representing a relevant health burden. Accurate prevalence estimates are of fundamental need in order to adjust the supply of health services for these patients. The availability of administrative health data from the National Health System provides a useful resource to assess the burden of diseases. Our aim was to evaluate the prevalence of PD through the use of administrative data in the Sicily region.

methodsWe have identified all the subjects affected by PD in Sicily in 2017 by gathering data from three regional health administrative databases: the hospital discharge records, the medical exemption databases, and the pharmacological prescription database. Prevalence rates and 95% confidence intervals (CI) have been calculated across 5-year age classes.

resultsPD patients identified through database searching were 24,674, giving a prevalence of 488/100,000 (95%CI 481.9-494.1) inhabitants. Prevalence was higher among men (514.5/100,000; 95%CI 505.6-523.6) and reached a peak in the 85-89 age class (3203.8/100,000; 95%CI 3095.2-3315.1). DISCUSSION: Our prevalence estimates of PD were higher when compared to previous epidemiological surveys conducted in Sicily. These findings are, however, comparable to other studies conducted in Italy that identified cases through administrative databases. Using health databases is a feasible strategy to assess the burden of PD.

Indexed as

Parkinson DiseaseDatabases, FactualHumansItalyMalePrevalenceSicilyEpidemiologyItalyParkinson’s diseasePrevalence

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.