Evidence map›Paper›PMID 31058205›Full record

ArticleEndoscopy international open2019

Reliability of Paris Classification for superficial neoplastic gastric lesions improves with training and narrow band imaging.

Helena Ribeiro, Diogo Libânio, Rui Castro, Anibal Ferreira, Pedro Barreiro, Pedro Boal Carvalho, Tiago Capela, Pedro Pimentel-Nunes, Cristina Santos, Mário Dinis-Ribeiro

Open access · goldAbstract read
In one paragraph

Article in Endoscopy international open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Gastric Cancer: Clinical Features, Screening, Diagnosis, Treatment, and Prevention.Journal of community hospital internal medicine perspectives · 2024
    Review
  5. Article
  6. Review
  7. Article
  8. A narrative review: narrow-band imaging endoscopic classifications.Quantitative imaging in medicine and surgery · 2023
    Review
  9. Article
  10. Identifying the pre-malignant stomach: from guidelines to practice.Translational gastroenterology and hepatology · 2022
    Review
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

10 authors at 5 institutions in 1 country.

Helena RibeiroGastroenterology Department, Amato Lusitano Hospital, Castelo Branco, Portugal.
Diogo LibânioGastroenterology Department, Portuguese Oncology Institute of Porto, Porto, Portugal.
Rui CastroGastroenterology Department, Portuguese Oncology Institute of Porto, Porto, Portugal.
Anibal FerreiraGastroenterology Department, Hospital of Braga, Braga, Portugal.
Pedro BarreiroGastroenterology Department, Centro Hospitalar de Lisboa Ocidental, Lisboa, Portugal.
Pedro Boal CarvalhoGastroenterology Department, Senhora da Oliveira Hospital, Guimarães, Portugal.
Tiago CapelaGastroenterology Department, Centro Hospitalar de Lisboa Ocidental, Lisboa, Portugal.
Pedro Pimentel-NunesGastroenterology Department, Portuguese Oncology Institute of Porto, Porto, Portugal.
Cristina SantosMEDCIDS/Porto Faculty of Medicine, Porto, Portugal.
Mário Dinis-RibeiroGastroenterology Department, Portuguese Oncology Institute of Porto, Porto, Portugal.
Instituto Português de Oncologia Francisco Gentil · PTCentro Hospitalar de Lisboa Ocidental · PTHospital Braga · PTHospital da Senhora da Oliveira Guimarães · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID31058205
PMCPMC6497497
OpenAlexW2942907788

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.