Evidence map›Paper›PMID 28054171›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2017

Identification of prevalent patients with epilepsy using administrative data: the Tuscany experience.

Irene Bellini, Laura Policardo, Gaetano Zaccara, Pasquale Palumbo, Eleonora Rosati, Elena Torre, Paolo Francesconi

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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 at 3 institutions in 1 country.

Irene BelliniMedical Specialisation School of Epidemiology and Preventive Medicine, University of Florence, Viale Morgagni 48, 50134, Florence, Italy. irenebellini30@gmail.com.ORCID http://orcid.org/0000-0002-4962-8312
Laura PolicardoAgenzia Regionale Sanità, Florence, Italy.
Gaetano ZaccaraNeurological Unit, Florence, Italy.
Pasquale PalumboNeurological Unit, Hospital of Prato, Prato, Italy.
Eleonora RosatiNeurological Unit, Hospital of Prato, Prato, Italy.
Elena TorreNeurological Unit, Hospital of Prato, Prato, Italy.
Paolo FrancesconiAgenzia Regionale Sanità, Florence, Italy.
Hospital of Prato · ITAgenzia Regionale di Sanità della Toscana · ITUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overall prevalence of epilepsy ranges from 4 to 10 cases per 1000. Italy lacks recent epidemiological studies on large populations. In the present study, prevalence of epilepsy has been assessed in Tuscany, an Italian Region with 3,750,000 habitants, implementing an algorithm based on administrative data from the Regional Information Health System. To identify patients with epilepsy, we used at least one the following criteria: (a) at least one EEG and at least two dispensations of any antiepileptic drug (AEDS) at a minimum distance of 12 months; (b) at least two dispensations of one "specific" AED (authorized for use only for patients with epilepsy) at a minimum distance of 12 months; and (c) hospital admission for epilepsy or recurrent relapses (cod. ICD-IX-345.*). This algorithm was validated through comparison with lists of true patients with epilepsy and subjects without neurological disorders (gold standard). 35,950 cases were identified. Total crude prevalence was 9.6/1000. Prevalence increased in older patients up to 16/1000 without gender differences. Overall sensitivity of the algorithm was 87.3%, and specificity was 99.9%. This algorithm identifies patients with epilepsy with acceptable sensitivity and specificity and can be used to assess the burden of disease and for monitoring health services.

Indexed as

AlgorithmsDatabases, FactualAdolescentAdultAgedAged, 80 and overAnticonvulsantsChildChild, PreschoolElectroencephalographyEpilepsyFemaleHealth Information ManagementHumansInfantInfant, NewbornAnticonvulsantsAdministrative dataEpilepsyPrevalence

Identifiers

PMID28054171
OpenAlexW2570570239

What OpenQuestion holds

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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.