Evidence map›Paper›PMID 33102508›Full record

ArticleFrontiers in medicine2020

Automatic Quantification of Interstitial Lung Disease From Chest Computed Tomography in Systemic Sclerosis.

Alysson Roncally S Carvalho, Alan R Guimarães, Flávio R Sztajnbok, Rosana Souza Rodrigues, Bruno Rangel Antunes Silva, Agnaldo José Lopes, Walter Araujo Zin, Isabel Almeida, Manuela Maria França

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  3. Review
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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

9 authors at 3 institutions in 2 countries.

Alysson Roncally S CarvalhoDepartment of Radiology, Medical School, Centro Hospitalar Universitário do Porto (CHUP), Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Porto University, Porto, Portugal.
Alan R GuimarãesLaboratory of Pulmonary Engineering, Biomedical Engineering Program, Alberto Luiz Coimbra Institute of Post-Graduation and Research in Engineering, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Flávio R SztajnbokDivision of Pediatric Rheumatology, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Rosana Souza RodriguesDepartment of Radiology, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Bruno Rangel Antunes SilvaGraduate Program in Medical Sciences, School of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Agnaldo José LopesGraduate Program in Medical Sciences, School of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Walter Araujo ZinLaboratory of Respiration Physiology, Carlos Chagas Filho Institute of Biophysics, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Isabel AlmeidaClinical Immunology Unit, Deptartment of Medicine, Centro Hospitalar Universitário do Porto (CHUP), Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Porto University, Porto, Portugal.
Manuela Maria FrançaRadiology Department, Centro Hospitalar Universitário do Porto (CHUP), Instituto de Ciências Biomédicas Abel Salazar (ICBAS), Porto University, Porto, Portugal.
Universidade Federal do Rio de Janeiro · BRUniversidade do Estado do Rio de Janeiro · BRUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

chest computed tomographydensitometryinterstitial lung diseasequantitative chest CT-analysissystemic sclerosis

Identifiers

PMID33102508
PMCPMC7546366
OpenAlexW3089180316

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.