Evidence map›Paper›PMID 31236103›Full record

ReviewJornal vascular brasileiro2019

Algorithm for diagnosis of primary vasculitides.

Alexandre Sacchetti Bezerra, Afonso César Polimanti, Rafael Vilhena de Carvalho Fürst, João Antônio Corrêa

Open access · diamondAbstract readReview
In one paragraph

Review in Jornal vascular brasileiro, 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
0.7field-weighted citation impact, top 27% 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, 4 citations in OpenAlex.

  1. Article
  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

4 authors at 1 institution in 1 country.

Alexandre Sacchetti BezerraFaculdade de Medicina do ABC, Disciplina de Angiologia e Cirurgia Vascular, Santo André, SP, Brasil.ORCID 0000-0001-6870-7465/
Afonso César PolimantiFaculdade de Medicina do ABC, Disciplina de Angiologia e Cirurgia Vascular, Santo André, SP, Brasil.
Rafael Vilhena de Carvalho FürstFaculdade de Medicina do ABC, Disciplina de Angiologia e Cirurgia Vascular, Santo André, SP, Brasil.
João Antônio CorrêaFaculdade de Medicina do ABC, Disciplina de Angiologia e Cirurgia Vascular, Santo André, SP, Brasil.
Faculdade de Medicina do ABC · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary vasculitides are diseases with a wide variety of anatomical, clinical, radiological, and laboratory presentations. Primary vasculitides are difficult to diagnose because of the complexity of clinical presentation, which may lead to delayed treatment and increased financial costs of workup investigations involving non-essential tests. Our objective in the present study is to create an algorithm that helps diagnosis of Primary vasculitides. The algorithm presented in this article allows fast, simple and cost-effective diagnosis of primary vasculitides using just clinical concepts and a few laboratory tests.

Indexed as

algorithmsclassificationdiagnosis, differentialsystemic vasculitisvasculitis

Identifiers

PMID31236103
PMCPMC6581028
OpenAlexW2929972108

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.