Evidence map›Paper›PMID 31281604›Full record

ArticleNeurology international2019

The main neurologic diagnoses from a neurology outpatient clinic in Rio de Janeiro, Brazil.

Thalles José de Oliveira Antonio, Caio de Paula Ribeiro, Daniel Teixeira Dos Santos, Vinícius Medeiros Henriques, Luís César Lopes da Silva, Francine Guimarães Vieira

Abstract read
In one paragraph

Article in Neurology international, 2019. 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
–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

3 citing papers in PubMed.

  1. Article
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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.

Thalles José de Oliveira AntonioUnivesidade Unigranrio, Barra da Tijuca Campus, Rio de Janeiro, Brazil.
Caio de Paula RibeiroUnivesidade Unigranrio, Barra da Tijuca Campus, Rio de Janeiro, Brazil.
Daniel Teixeira Dos SantosUnivesidade Unigranrio, Barra da Tijuca Campus, Rio de Janeiro, Brazil.
Vinícius Medeiros HenriquesUnivesidade Unigranrio, Barra da Tijuca Campus, Rio de Janeiro, Brazil.
Luís César Lopes da SilvaUnivesidade Unigranrio, Barra da Tijuca Campus, Rio de Janeiro, Brazil.
Francine Guimarães VieiraUnivesidade Unigranrio, Barra da Tijuca Campus, Rio de Janeiro, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to evaluate the prevalence, distribution and clinical profile of neurological diseases and syndromes from a neurology outpatient clinic in the city of Rio de Janeiro. This is a quantitative, cross-sectional study. 180 medical records of firsttime visits conducted through 18 months were analyzed. Age, gender and comorbidities were collected to identify the sample's profile and the neurological diagnoses found were classified in predefined groups of syndromes according to the ICD-10 classification, which were further stratified according to age and gender. 157 (87,2%) of the patients had a neurological disease, of which the mean age was 51,05 years and 67,5% were women. The most frequent comorbidities were: hypertension (55,6%); dyslipidemia (20,4%); and diabetes (14,6%). The most common neurological diseases were: Sequelae of Cerebrovascular Disease (12,7%); Unspecified Dementia (8,9%); and Migraine without Aura (7,6%). The main neurological syndromes were: Headache (24,8%); Dementia (15,9%); Cerebrovascular Disease (13,4%); Movement Disorders (12,1%); and Radiculopathy (10,8%). The age and gender profile of these syndromes was further described. These data contribute to better understand the distribution of neurological diseases in the neurological outpatient setting.

Indexed as

ambulatory carehealth profilenervous system diseasesNeurologyprevalence

Identifiers

PMID31281604
PMCPMC6589620

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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.