Evidence map›Paper›PMID 26687506›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2016

Prevalence of parkinsonism estimated using the drug prescription archive: a possible method to estimate the prevalence of a chronic neurological disease?

Anteo Di Napoli, Silvia Scalmana, Francesco Franco, Domenico Di Lallo, Eleonora Lacorte, Nicola Vanacore

Abstract read
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Article in Journal of neural transmission (Vienna, Austria : 1996), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Anteo Di NapoliHealth Authority of Lazio Region, Rome, Italy.
Silvia ScalmanaHealth Authority of Lazio Region, Rome, Italy.
Francesco FrancoHealth Authority of Lazio Region, Rome, Italy.
Domenico Di LalloHealth Authority of Lazio Region, Rome, Italy.
Eleonora LacorteNational Centre for Epidemiology, Surveillance, and Health Promotion, National Institute of Health, Via Giano della Bella 34, 00161, Rome, Italy.
Nicola VanacoreNational Centre for Epidemiology, Surveillance, and Health Promotion, National Institute of Health, Via Giano della Bella 34, 00161, Rome, Italy. vanacore@iss.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many surveys estimated prevalence of parkinsonism, with results varying largely. We used prescription records of medications for parkinsonism to estimate the prevalence of this condition. Retrospective survey based on Lazio (Italy) regional drugs' prescriptions registry. Cases of parkinsonism were defined as those who received a medication for parkinsonism (Dopa and dopa derivatives or Monoamine oxidase B-inhibitors) for at least 6 months in a 5-year period (2005-2009). Crude and standardized prevalence rates at June 2009 were calculated. Crude and standardized prevalence rates of parkinsonism in Lazio were, respectively, 283 per 100,000 (95 % CI 278-287), and 294 per 100,000 (95 % CI 289-298), higher in men than in women (292 per 100,000 vs. 274 per 100,000). The highest overall prevalence rate was observed among people aged 85-89 years (246 per 100,000), while the lowest in subjects aged <65 (38 per 100,000). Prevalence rates in people older than 65 and older 75 were, respectively, 1275 per 100,000 and 1912 per 100,000. Using a regional drug registry, based on currently available health information systems, may be a suitable method to estimate prevalence of parkinsonism, which is essential for public health programming, the more in presence of a demographic shift as the current one.

Indexed as

AgedAntiparkinson AgentsFemaleHumansItalyMaleMiddle AgedParkinsonian DisordersPharmacoepidemiologyPrevalenceRegistriesRetrospective StudiesSurveys and QuestionnairesAntiparkinson AgentsDrugs archiveParkinsonismPharmaco-epidemiologyPrevalence rate

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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.