Evidence map›Paper›PMID 33987747›Full record

ArticleJournal of gastroenterology2021

Utility of a new automated diagnostic program in high-resolution esophageal manometry.

Shiko Kuribayashi, Junichi Akiyama, Haruo Ikeda, Kazue Nagai, Hiroko Hosaka, Mariko Hamada, Manabu Onimaru, Noriyuki Kawami, Kunihiko Hayashi, Katsuhiko Iwakiri and 3 more

Abstract read
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In one paragraph

Article in Journal of gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Shiko KuribayashiDepartment of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, 3-39-15 Showa-machi, Maebashi, Gunma, 371-8511, Japan. shikokuri@yahoo.co.jp.ORCID http://orcid.org/0000-0002-5067-552X
Junichi AkiyamaDivision of Gastroenterology and Hepatology, Center Hospital of the National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Haruo IkedaDigestive Disease Center, Showa University Koto Toyosu Hospital, 5-1-38 Toyosu, Kouto-ku, Tokyo, 135-8577, Japan.
Kazue NagaiResearch and Education Center of Health Sciences, Gunma University Graduate School of Health Sciences, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8514, Japan.
Hiroko HosakaDepartment of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, 3-39-15 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Mariko HamadaDivision of Gastroenterology and Hepatology, Center Hospital of the National Center for Global Health and Medicine, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Manabu OnimaruDigestive Disease Center, Showa University Koto Toyosu Hospital, 5-1-38 Toyosu, Kouto-ku, Tokyo, 135-8577, Japan.
Noriyuki KawamiDepartment of Gastroenterology, Nippon Medical School, Graduate School of Medicine, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
Kunihiko HayashiResearch and Education Center of Health Sciences, Gunma University Graduate School of Health Sciences, 3-39-22 Showa-machi, Maebashi, Gunma, 371-8514, Japan.
Katsuhiko IwakiriDepartment of Gastroenterology, Nippon Medical School, Graduate School of Medicine, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
Haruhiro InoueDigestive Disease Center, Showa University Koto Toyosu Hospital, 5-1-38 Toyosu, Kouto-ku, Tokyo, 135-8577, Japan.
Motoyasu KusanoDepartment of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, 3-39-15 Showa-machi, Maebashi, Gunma, 371-8511, Japan.
Toshio UraokaDepartment of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, 3-39-15 Showa-machi, Maebashi, Gunma, 371-8511, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA new automated diagnostic program for high-resolution esophageal manometry (HREM) has been developed. This diagnostic program could detect locations of landmarks and could make final diagnoses automatically. However, the accuracy of the program is not known. The aim of this study was to evaluate the accuracy of the automated diagnostic program for HREM.

methodsA total of 445 studies were enrolled. An HREM system (Starlet®) was used, and esophageal motility was diagnosed using the Chicago classification v3.0. First, the locations of the upper esophageal sphincter, transition zone, lower esophageal sphincter, esophago-gastric junction, crural diaphragm and stomach were determined, and each swallow was checked manually. Then, the parameters of the Chicago classification were calculated using an analytic program of the Starlet, and diagnoses were made by three experts. Second, all study raw data were analyzed again by the automated diagnostic program. Diagnoses made by the program were compared to those made by experts to evaluate the accuracy of the diagnoses.

resultsThe new diagnostic program could identify the landmarks of each swallow, calculate the parameters and make a final diagnosis within 10 s. The diagnoses made by the automated diagnostic program were not matched to those made by experts in only 10 studies, and the overall accuracy of the new automated diagnostic program thus reached 97.8% (435/445).

conclusionsThe new automated diagnostic program for HREM is clinically useful in terms of high diagnostic accuracy and time-saving.

Indexed as

Esophageal Motility DisordersEsophagusHumansJapanManometryRetrospective StudiesSensitivity and SpecificityAutomated diagnosisEsophageal motilityHigh-resolution esophageal manometry

Identifiers

PMID33987747

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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.