Literature DB >> 21997554

Learners favour high resolution oesophageal manometry with better diagnostic accuracy over conventional line tracings.

A Samad Soudagar1, Gregory S Sayuk, C Prakash Gyawali.   

Abstract

BACKGROUND: High resolution manometry (HRM) provides a colourful representation of oesophageal motility. Novice and intermediate learners were tested to compare HRM Clouse plots and conventional manometry for accuracy, ease of interpretation and knowledge retention.
METHODS: 36 learners evaluated 60 randomised motility sequences (30 HRM Clouse plots with corresponding line tracings) 4 months apart, following a tutorial. Learners rated prior knowledge of oesophageal pathophysiology and manometry and scored ease and speed of interpretation on 10 cm visual analogue scales (VAS).
RESULTS: Understanding of oesophageal pathophysiology was low in all cohorts (2.9±0.4 on VAS) and knowledge of HRM and conventional motility studies was even lower (1.9±0.4 and 1.8±0.3, respectively, p=NS). After the tutorial, diagnostic accuracy was significantly higher with HRM Clouse plots than with line tracings (p<0.001). HRM gains in diagnostic accuracy were evident over line tracings (43.1%), particularly with aperistalsis (36.1%), oesophageal body hypomotility (25.8%) and relaxation of the lower oesophageal sphincter (21.0%) (p<0.001 for each comparison); these were maintained at the second evaluation. Gains were independent of academic level (F=0.56, p=0.5) and did not correlate with prior experience of learners (r=-0.18, p=0.29). Learners favoured HRM Clouse plots (80.6%) over line tracings and reported faster interpretation (94.4%).
CONCLUSIONS: HRM Clouse plots provide ease of interpretation that translates into higher diagnostic accuracy and better knowledge retention in novice and intermediate learners of oesophageal manometry. These results implicate the value of pattern recognition in HRM interpretation, irrespective of academic level and prior understanding of oesophageal motor function.

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Year:  2011        PMID: 21997554      PMCID: PMC4565504          DOI: 10.1136/gutjnl-2011-301145

Source DB:  PubMed          Journal:  Gut        ISSN: 0017-5749            Impact factor:   23.059


  15 in total

Review 1.  Topographic esophageal manometry: an emerging clinical and investigative approach.

Authors:  R E Clouse; C Prakash
Journal:  Dig Dis       Date:  2000       Impact factor: 2.404

2.  Detection of incomplete lower esophageal sphincter relaxation with conventional point-pressure sensors.

Authors:  A Staiano; R E Clouse
Journal:  Am J Gastroenterol       Date:  2001-12       Impact factor: 10.864

3.  Weak peristalsis in esophageal pressure topography: classification and association with Dysphagia.

Authors:  Sabine Roman; Zhiyue Lin; Monika A Kwiatek; John E Pandolfino; Peter J Kahrilas
Journal:  Am J Gastroenterol       Date:  2010-10-05       Impact factor: 10.864

4.  Quantifying EGJ morphology and relaxation with high-resolution manometry: a study of 75 asymptomatic volunteers.

Authors:  John E Pandolfino; Sudip K Ghosh; Qing Zhang; Andrew Jarosz; Nimeesh Shah; Peter J Kahrilas
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2006-02-02       Impact factor: 4.052

5.  Value of spatiotemporal representation of manometric data.

Authors:  Claudia Grübel; Richard Hiscock; Geoff Hebbard
Journal:  Clin Gastroenterol Hepatol       Date:  2008-04-14       Impact factor: 11.382

Review 6.  Measurement of subjective phenomena in primary care research: the Visual Analogue Scale.

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Review 7.  Oesophageal high-resolution manometry: moving from research into clinical practice.

Authors:  M R Fox; A J Bredenoord
Journal:  Gut       Date:  2007-09-25       Impact factor: 23.059

8.  Utilizing intraluminal pressure gradients to predict esophageal clearance: a validation study.

Authors:  John E Pandolfino; Sudip K Ghosh; Nilesh Lodhia; Peter J Kahrilas
Journal:  Am J Gastroenterol       Date:  2008-07-12       Impact factor: 10.864

9.  Classifying esophageal motility by pressure topography characteristics: a study of 400 patients and 75 controls.

Authors:  John E Pandolfino; Sudip K Ghosh; John Rice; John O Clarke; Monika A Kwiatek; Peter J Kahrilas
Journal:  Am J Gastroenterol       Date:  2007-09-26       Impact factor: 10.864

10.  Achalasia: a new clinically relevant classification by high-resolution manometry.

Authors:  John E Pandolfino; Monika A Kwiatek; Thomas Nealis; William Bulsiewicz; Jennifer Post; Peter J Kahrilas
Journal:  Gastroenterology       Date:  2008-07-22       Impact factor: 22.682

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  31 in total

1.  Can high resolution manometry parameters for achalasia be obtained by conventional manometry?

Authors:  Fernando Am Herbella; Marco G Patti
Journal:  World J Gastrointest Pathophysiol       Date:  2015-08-15

Review 2.  Expert consensus document: Advances in the management of oesophageal motility disorders in the era of high-resolution manometry: a focus on achalasia syndromes.

Authors:  Peter J Kahrilas; Albert J Bredenoord; Mark Fox; C Prakash Gyawali; Sabine Roman; André J P M Smout; John E Pandolfino
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2017-09-27       Impact factor: 46.802

3.  The Chicago Classification 3.0 Results in More Normal Findings and Fewer Hypotensive Findings With No Difference in Other Diagnoses.

Authors:  H Monrroy; D Cisternas; C Bilder; A Ditaranto; J Remes-Troche; A Meixueiro; M A Zavala; J Serra; I Marín; A Ruiz de León; J Pérez de la Serna; A Hani; A Leguizamo; L Abrahao; R Coello; M A Valdovinos
Journal:  Am J Gastroenterol       Date:  2017-01-31       Impact factor: 10.864

4.  High Resolution Manometry Vs Conventional Line Tracing for Esophageal Motility Disorders.

Authors:  Rena Yadlapati
Journal:  Gastroenterol Hepatol (N Y)       Date:  2017-03

Review 5.  Utility of Esophageal High-Resolution Manometry in Clinical Practice: First, Do HRM.

Authors:  Ishita Dhawan; Brendon O'Connell; Amit Patel; Ron Schey; Henry P Parkman; Frank Friedenberg
Journal:  Dig Dis Sci       Date:  2018-12       Impact factor: 3.199

6.  Diagnosis of Esophageal Motility Disorders: Esophageal Pressure Topography vs. Conventional Line Tracing.

Authors:  Dustin A Carlson; Karthik Ravi; Peter J Kahrilas; C Prakash Gyawali; Arjan J Bredenoord; Donald O Castell; Stuart J Spechler; Magnus Halland; Navya Kanuri; David A Katzka; Cadman L Leggett; Sabine Roman; Jose B Saenz; Gregory S Sayuk; Alan C Wong; Rena Yadlapati; Jody D Ciolino; Mark R Fox; John E Pandolfino
Journal:  Am J Gastroenterol       Date:  2015-06-02       Impact factor: 10.864

7.  Treatment implications of high-resolution manometry findings: options for patients with esophageal dysmotility.

Authors:  Ahmed Bolkhir; C Prakash Gyawali
Journal:  Curr Treat Options Gastroenterol       Date:  2014-03

Review 8.  Management of spastic disorders of the esophagus.

Authors:  Sabine Roman; Peter J Kahrilas
Journal:  Gastroenterol Clin North Am       Date:  2013-01-04       Impact factor: 3.806

9.  [Modern diagnostic tools for esophageal pathologies].

Authors:  A Kandulski; P Malfertheiner; J Weigt
Journal:  Internist (Berl)       Date:  2013-03       Impact factor: 0.743

10.  Identification of Quality Measures for Performance of and Interpretation of Data From Esophageal Manometry.

Authors:  Rena Yadlapati; Andrew J Gawron; Rajesh N Keswani; Karl Bilimoria; Donald O Castell; Kerry B Dunbar; Chandra P Gyawali; Blair A Jobe; Philip O Katz; David A Katzka; Brian E Lacy; Benson T Massey; Joel E Richter; Felice Schnoll-Sussman; Stuart J Spechler; Roger Tatum; Marcelo F Vela; John E Pandolfino
Journal:  Clin Gastroenterol Hepatol       Date:  2015-10-20       Impact factor: 11.382

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