Evidence map›Paper›PMID 27473627›Full record

ArticleClinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association2017

A System to Assess the Competency for Interpretation of Esophageal Manometry Identifies Variation in Learning Curves.

Rena Yadlapati, Rajesh N Keswani, Jody D Ciolino, David P Grande, Zoe I Listernick, Dustin A Carlson, Donald O Castell, Kerry B Dunbar, Andrew J Gawron, C Prakash Gyawali and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2017. 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
–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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Tips for the Budding Esophagologist.Current gastroenterology reports · 2019
    Review
  6. New Developments in Esophageal Motility Testing.Current treatment options in gastroenterology · 2019
    Review
  7. Review
  8. Review
  9. Article
  10. 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

17 authors.

Rena YadlapatiDivision of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois. Electronic address: rena.yadlapati@northwestern.edu.
Rajesh N KeswaniDivision of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Jody D CiolinoDepartment of Preventive Medicine-Division of Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
David P GrandeDivision of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Zoe I ListernickDivision of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Dustin A CarlsonDivision of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Donald O CastellDivision of Gastroenterology & Hepatology, Medical University of South Carolina, Charleston, South Carolina.
Kerry B DunbarUniversity of Texas Southwestern Medical Center and the Dallas VA Medical Center, Department of Internal Medicine, Division of Gastroenterology and Hepatology, Dallas, Texas.
Andrew J GawronDivision of Gastroenterology, University of Utah, Salt Lake City, Utah.
C Prakash GyawaliDivision of Gastroenterology, Washington University School of Medicine, St. Louis, Missouri.
Philip O KatzDivision of Gastroenterology, Albert Einstein Medical Center, Thomas Jefferson University, Philadelphia, Pennsylvania.
David KatzkaDivision of Gastroenterology, Mayo Clinic, Rochester, Minnesota.
Brian E LacyDivision of Gastroenterology, Dartmouth Hitchcock Medical Center, Lebanon, New Hampshire.
Stuart J SpechlerUniversity of Texas Southwestern Medical Center and the Dallas VA Medical Center, Department of Internal Medicine, Division of Gastroenterology and Hepatology, Dallas, Texas.
Roger TatumDepartment of Surgery, University of Washington, Seattle, Washington.
Marcelo F VelaDivision of Gastroenterology, Mayo Clinic Arizona, Scottsdale, Arizona.
John E PandolfinoDivision of Gastroenterology and Hepatology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Training Grant in Gastrointestinal Physiology and PsychologyT32DK101363 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI PANDOLFINO, JOHN E · 2014 to 2018
$1.2M
NCATS NIH HHS UL1 TR001422NIDDK NIH HHS T32 DK101363
6 · The paper itself

Abstract

BACKGROUND &

aimsQuality esophageal high-resolution manometry (HRM) studies require competent interpretation of data. However, there is little understanding of learning curves, training requirements, or measures of competency for HRM. We aimed to develop and use a competency assessment system to examine learning curves for interpretation of HRM data.

methodsWe conducted a prospective multicenter study of 20 gastroenterology trainees with no experience in HRM, from 8 centers, over an 8-month period (May through December 2015). We designed a web-based HRM training and competency assessment system. After reviewing the training module, participants interpreted 50 HRM studies and received answer keys at the fifth and then at every second interpretation. A cumulative sum procedure produced individual learning curves with preset acceptable failure rates of 10%; we classified competency status as competency not achieved, competency achieved, or competency likely achieved.

resultsFive (25%) participants achieved competence, 4 (20%) likely achieved competence, and 11 (55%) failed to achieve competence. A minimum case volume to achieve competency was not identified. There was no significant agreement between diagnostic accuracy and accuracy for individual HRM skills.

conclusionsWe developed a competency assessment system for HRM interpretation; using this system, we found significant variation in learning curves for HRM diagnosis and individual skills. Our system effectively distinguished trainee competency levels for HRM interpretation and contrary to current recommendations, found that competency for HRM is not case-volume specific.

Indexed as

Clinical CompetenceHealth PersonnelLearning CurveAdultFemaleGastroenterologyGastroesophageal RefluxHumansMaleManometryProspective StudiesCompetency-Based Medical EducationCUSUMHigh-Resolution Manometry

Identifiers

PMID27473627
PMCPMC5272908

What OpenQuestion holds

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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.