Evidence map›Paper›PMID 32675589›Full record

ArticleThe American journal of gastroenterology2020

Computerized Learning Is a Building Block But We Still Have Far to Go.

Joel E Richter

Abstract readComment
PubMed Publisher
In one paragraph

Article in The American journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Joel E RichterProfessor of Medicine Hugh F. Culverhouse Chair for Esophageal Disorders Director, Division of Digestive Diseases & Nutrition Director, Joy McCann Culverhouse Center for Esophageal and Swallowing Disorders, University of South Florida Morsani College of Medicine, Tampa, Florida.
University of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-resolution manometry has revolutionized the diagnosis and treatment of esophageal motility disorders. The color plots are consistent with the visual pattern recognition that makes up much of our endoscopic training in gastroenterology. Computerized learning is an important addition to teaching this skill, especially because most gastroenterology training programs offer meager motility expertise and experience. However, it is just a basic building block for the development of young esophageal and motility experts. It is a good beginning, but the trainee needs a thorough understanding of the limitations of HRM, the important role of other esophageal function tests, and how best to incorporate these tests into a multidiscipline care plan for patients. The best approach is not technology alone but how it is applied by a master clinician in a busy esophageal center of excellence.

Indexed as

Esophageal Motility DisordersGastroenterologyHumansLearningManometry

Identifiers

PMID32675589
OpenAlexW3043257472

What OpenQuestion holds

Textmetadata
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.