Loading…
A prediction model of abnormal acid reflux in gastroesophageal reflux disease
Background and Aim The measurement of esophageal acid exposure time (AET) using combined multichannel intraluminal impedance–pH (MII‐pH) tests is the gold standard for diagnosing gastroesophageal reflux disease (GERD). However, this catheter‐based 24‐h test can cause considerable patient discomfort....
Saved in:
| Published in: | Journal of gastroenterology and hepatology 2024-09, Vol.39 (9), p.1847-1855 |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | |
|---|---|
| cites | cdi_FETCH-LOGICAL-c3132-d9625cea6d8786a10f5a284e7faa8a28f79617fe09b4a300c7af06dd4a134ff63 |
| container_end_page | 1855 |
| container_issue | 9 |
| container_start_page | 1847 |
| container_title | Journal of gastroenterology and hepatology |
| container_volume | 39 |
| creator | Sonoda, Michiko Matsumura, Tomoaki Dao, Hang Viet Shiko, Yuki Do, Phuong Nhat Nguyen, Binh Phuc Okimoto, Kenichiro Akizue, Naoki Ohyama, Yuhei Mamiya, Yukiyo Nakazawa, Hayato Takahashi, Satsuki Horio, Ryosuke Goto, Chihiro Kurosugi, Akane Kaneko, Tatsuya Ohta, Yuki Saito, Keiko Taida, Takashi Kikuchi, Atsuko Fujie, Mai Kato, Jun Dao, Long Van Kato, Naoya |
| description | Background and Aim
The measurement of esophageal acid exposure time (AET) using combined multichannel intraluminal impedance–pH (MII‐pH) tests is the gold standard for diagnosing gastroesophageal reflux disease (GERD). However, this catheter‐based 24‐h test can cause considerable patient discomfort. Our aim is to identify factors affecting AET and to develop a scoring model for predicting AET abnormalities before conducting the MII‐pH test.
Methods
Of the 366 patients who underwent MII‐pH test at two facilities in Japan and Vietnam, 255 patients who also had esophagogastroduodenoscopy and high‐resolution manometry were included in this study. Logistic regression analysis was conducted using risk factors for AET > 6% identified from a derivation cohort (n = 109). A scoring system predicting AET > 6% was then constructed and externally validated with a separate cohort (n = 146).
Results
Three variables were derived from the prediction model: male gender, Hill grades III–IV, and weak mean distal contractile integrals. Based on these scores, patients were classified into low (0 point), intermediate (1–3 points), and high (4 points) risk groups. The probabilities of having an AET > 6% were 6%, 34%, and 100% for these groups, respectively. A score of |
| doi_str_mv | 10.1111/jgh.16602 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3055454568</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3111034672</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3132-d9625cea6d8786a10f5a284e7faa8a28f79617fe09b4a300c7af06dd4a134ff63</originalsourceid><addsrcrecordid>eNp1kEFLwzAYhoMobk4P_gEpeNFD55cmTdrjGDqViRc9h29NMjvaZiYr6r83uulBMDkk8D68fN9DyCmFMY3narV8GVMhINsjQ8o5pFRysU-GUNA8LRktB-QohBUAcJD5IRmwQnIJuRiSh0my9kbX1aZ2XdI6bZrE2QQXnfMtNglWtU68sU3_ntRdssSw8c4Et37BpYn5LtJ1MBjMMTmw2ARzsntH5Pnm-ml6m84fZ3fTyTytGGVZqkuR5ZVBoQtZCKRgc8wKbqRFLOLPylJQaQ2UC44MoJJoQWjNkTJurWAjcrHtXXv32puwUW0dKtM02BnXB8Ugz3m8oojo-R905XrfxekUi-6AcSGzSF1uqcq7EOJSau3rFv2HoqC-HKvoWH07juzZrrFftEb_kj9SI3C1Bd7qxnz836TuZ7fbyk_8wYTI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3111034672</pqid></control><display><type>article</type><title>A prediction model of abnormal acid reflux in gastroesophageal reflux disease</title><source>Wiley</source><creator>Sonoda, Michiko ; Matsumura, Tomoaki ; Dao, Hang Viet ; Shiko, Yuki ; Do, Phuong Nhat ; Nguyen, Binh Phuc ; Okimoto, Kenichiro ; Akizue, Naoki ; Ohyama, Yuhei ; Mamiya, Yukiyo ; Nakazawa, Hayato ; Takahashi, Satsuki ; Horio, Ryosuke ; Goto, Chihiro ; Kurosugi, Akane ; Kaneko, Tatsuya ; Ohta, Yuki ; Saito, Keiko ; Taida, Takashi ; Kikuchi, Atsuko ; Fujie, Mai ; Kato, Jun ; Dao, Long Van ; Kato, Naoya</creator><creatorcontrib>Sonoda, Michiko ; Matsumura, Tomoaki ; Dao, Hang Viet ; Shiko, Yuki ; Do, Phuong Nhat ; Nguyen, Binh Phuc ; Okimoto, Kenichiro ; Akizue, Naoki ; Ohyama, Yuhei ; Mamiya, Yukiyo ; Nakazawa, Hayato ; Takahashi, Satsuki ; Horio, Ryosuke ; Goto, Chihiro ; Kurosugi, Akane ; Kaneko, Tatsuya ; Ohta, Yuki ; Saito, Keiko ; Taida, Takashi ; Kikuchi, Atsuko ; Fujie, Mai ; Kato, Jun ; Dao, Long Van ; Kato, Naoya</creatorcontrib><description>Background and Aim
The measurement of esophageal acid exposure time (AET) using combined multichannel intraluminal impedance–pH (MII‐pH) tests is the gold standard for diagnosing gastroesophageal reflux disease (GERD). However, this catheter‐based 24‐h test can cause considerable patient discomfort. Our aim is to identify factors affecting AET and to develop a scoring model for predicting AET abnormalities before conducting the MII‐pH test.
Methods
Of the 366 patients who underwent MII‐pH test at two facilities in Japan and Vietnam, 255 patients who also had esophagogastroduodenoscopy and high‐resolution manometry were included in this study. Logistic regression analysis was conducted using risk factors for AET > 6% identified from a derivation cohort (n = 109). A scoring system predicting AET > 6% was then constructed and externally validated with a separate cohort (n = 146).
Results
Three variables were derived from the prediction model: male gender, Hill grades III–IV, and weak mean distal contractile integrals. Based on these scores, patients were classified into low (0 point), intermediate (1–3 points), and high (4 points) risk groups. The probabilities of having an AET > 6% were 6%, 34%, and 100% for these groups, respectively. A score of < 1 excluded patients with abnormal AET, with a negative predictive value of 93.8% in the derivation cohort and 80.0% in the validation cohort.
Conclusions
We derived and externally validated a prediction model for abnormal AET. This system could assist in guiding the appropriate treatment strategies for GERD.</description><identifier>ISSN: 0815-9319</identifier><identifier>ISSN: 1440-1746</identifier><identifier>EISSN: 1440-1746</identifier><identifier>DOI: 10.1111/jgh.16602</identifier><identifier>PMID: 38747056</identifier><language>eng</language><publisher>Australia: Wiley Subscription Services, Inc</publisher><subject>A prediction model ; Acid exposure time ; Adult ; Aged ; Cohort Studies ; Contractility ; Electric Impedance ; Endoscopy, Digestive System ; Esophageal pH Monitoring ; Female ; Gastroesophageal reflux ; Gastroesophageal Reflux - diagnosis ; Gastroesophageal reflux disease ; High‐resolution manometry ; Humans ; Japan - epidemiology ; Logistic Models ; Male ; Manometry - methods ; Middle Aged ; pH effects ; Prediction models ; Predictive Value of Tests ; Risk Factors ; Risk groups ; Sex Factors</subject><ispartof>Journal of gastroenterology and hepatology, 2024-09, Vol.39 (9), p.1847-1855</ispartof><rights>2024 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd.</rights><rights>2024 Journal of Gastroenterology and Hepatology Foundation and John Wiley & Sons Australia, Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3132-d9625cea6d8786a10f5a284e7faa8a28f79617fe09b4a300c7af06dd4a134ff63</cites><orcidid>0000-0001-5314-9325 ; 0000-0002-5809-1254 ; 0000-0003-1857-577X ; 0000-0002-6609-3081</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38747056$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sonoda, Michiko</creatorcontrib><creatorcontrib>Matsumura, Tomoaki</creatorcontrib><creatorcontrib>Dao, Hang Viet</creatorcontrib><creatorcontrib>Shiko, Yuki</creatorcontrib><creatorcontrib>Do, Phuong Nhat</creatorcontrib><creatorcontrib>Nguyen, Binh Phuc</creatorcontrib><creatorcontrib>Okimoto, Kenichiro</creatorcontrib><creatorcontrib>Akizue, Naoki</creatorcontrib><creatorcontrib>Ohyama, Yuhei</creatorcontrib><creatorcontrib>Mamiya, Yukiyo</creatorcontrib><creatorcontrib>Nakazawa, Hayato</creatorcontrib><creatorcontrib>Takahashi, Satsuki</creatorcontrib><creatorcontrib>Horio, Ryosuke</creatorcontrib><creatorcontrib>Goto, Chihiro</creatorcontrib><creatorcontrib>Kurosugi, Akane</creatorcontrib><creatorcontrib>Kaneko, Tatsuya</creatorcontrib><creatorcontrib>Ohta, Yuki</creatorcontrib><creatorcontrib>Saito, Keiko</creatorcontrib><creatorcontrib>Taida, Takashi</creatorcontrib><creatorcontrib>Kikuchi, Atsuko</creatorcontrib><creatorcontrib>Fujie, Mai</creatorcontrib><creatorcontrib>Kato, Jun</creatorcontrib><creatorcontrib>Dao, Long Van</creatorcontrib><creatorcontrib>Kato, Naoya</creatorcontrib><title>A prediction model of abnormal acid reflux in gastroesophageal reflux disease</title><title>Journal of gastroenterology and hepatology</title><addtitle>J Gastroenterol Hepatol</addtitle><description>Background and Aim
The measurement of esophageal acid exposure time (AET) using combined multichannel intraluminal impedance–pH (MII‐pH) tests is the gold standard for diagnosing gastroesophageal reflux disease (GERD). However, this catheter‐based 24‐h test can cause considerable patient discomfort. Our aim is to identify factors affecting AET and to develop a scoring model for predicting AET abnormalities before conducting the MII‐pH test.
Methods
Of the 366 patients who underwent MII‐pH test at two facilities in Japan and Vietnam, 255 patients who also had esophagogastroduodenoscopy and high‐resolution manometry were included in this study. Logistic regression analysis was conducted using risk factors for AET > 6% identified from a derivation cohort (n = 109). A scoring system predicting AET > 6% was then constructed and externally validated with a separate cohort (n = 146).
Results
Three variables were derived from the prediction model: male gender, Hill grades III–IV, and weak mean distal contractile integrals. Based on these scores, patients were classified into low (0 point), intermediate (1–3 points), and high (4 points) risk groups. The probabilities of having an AET > 6% were 6%, 34%, and 100% for these groups, respectively. A score of < 1 excluded patients with abnormal AET, with a negative predictive value of 93.8% in the derivation cohort and 80.0% in the validation cohort.
Conclusions
We derived and externally validated a prediction model for abnormal AET. This system could assist in guiding the appropriate treatment strategies for GERD.</description><subject>A prediction model</subject><subject>Acid exposure time</subject><subject>Adult</subject><subject>Aged</subject><subject>Cohort Studies</subject><subject>Contractility</subject><subject>Electric Impedance</subject><subject>Endoscopy, Digestive System</subject><subject>Esophageal pH Monitoring</subject><subject>Female</subject><subject>Gastroesophageal reflux</subject><subject>Gastroesophageal Reflux - diagnosis</subject><subject>Gastroesophageal reflux disease</subject><subject>High‐resolution manometry</subject><subject>Humans</subject><subject>Japan - epidemiology</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Manometry - methods</subject><subject>Middle Aged</subject><subject>pH effects</subject><subject>Prediction models</subject><subject>Predictive Value of Tests</subject><subject>Risk Factors</subject><subject>Risk groups</subject><subject>Sex Factors</subject><issn>0815-9319</issn><issn>1440-1746</issn><issn>1440-1746</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1kEFLwzAYhoMobk4P_gEpeNFD55cmTdrjGDqViRc9h29NMjvaZiYr6r83uulBMDkk8D68fN9DyCmFMY3narV8GVMhINsjQ8o5pFRysU-GUNA8LRktB-QohBUAcJD5IRmwQnIJuRiSh0my9kbX1aZ2XdI6bZrE2QQXnfMtNglWtU68sU3_ntRdssSw8c4Et37BpYn5LtJ1MBjMMTmw2ARzsntH5Pnm-ml6m84fZ3fTyTytGGVZqkuR5ZVBoQtZCKRgc8wKbqRFLOLPylJQaQ2UC44MoJJoQWjNkTJurWAjcrHtXXv32puwUW0dKtM02BnXB8Ugz3m8oojo-R905XrfxekUi-6AcSGzSF1uqcq7EOJSau3rFv2HoqC-HKvoWH07juzZrrFftEb_kj9SI3C1Bd7qxnz836TuZ7fbyk_8wYTI</recordid><startdate>202409</startdate><enddate>202409</enddate><creator>Sonoda, Michiko</creator><creator>Matsumura, Tomoaki</creator><creator>Dao, Hang Viet</creator><creator>Shiko, Yuki</creator><creator>Do, Phuong Nhat</creator><creator>Nguyen, Binh Phuc</creator><creator>Okimoto, Kenichiro</creator><creator>Akizue, Naoki</creator><creator>Ohyama, Yuhei</creator><creator>Mamiya, Yukiyo</creator><creator>Nakazawa, Hayato</creator><creator>Takahashi, Satsuki</creator><creator>Horio, Ryosuke</creator><creator>Goto, Chihiro</creator><creator>Kurosugi, Akane</creator><creator>Kaneko, Tatsuya</creator><creator>Ohta, Yuki</creator><creator>Saito, Keiko</creator><creator>Taida, Takashi</creator><creator>Kikuchi, Atsuko</creator><creator>Fujie, Mai</creator><creator>Kato, Jun</creator><creator>Dao, Long Van</creator><creator>Kato, Naoya</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7U9</scope><scope>H94</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-5314-9325</orcidid><orcidid>https://orcid.org/0000-0002-5809-1254</orcidid><orcidid>https://orcid.org/0000-0003-1857-577X</orcidid><orcidid>https://orcid.org/0000-0002-6609-3081</orcidid></search><sort><creationdate>202409</creationdate><title>A prediction model of abnormal acid reflux in gastroesophageal reflux disease</title><author>Sonoda, Michiko ; Matsumura, Tomoaki ; Dao, Hang Viet ; Shiko, Yuki ; Do, Phuong Nhat ; Nguyen, Binh Phuc ; Okimoto, Kenichiro ; Akizue, Naoki ; Ohyama, Yuhei ; Mamiya, Yukiyo ; Nakazawa, Hayato ; Takahashi, Satsuki ; Horio, Ryosuke ; Goto, Chihiro ; Kurosugi, Akane ; Kaneko, Tatsuya ; Ohta, Yuki ; Saito, Keiko ; Taida, Takashi ; Kikuchi, Atsuko ; Fujie, Mai ; Kato, Jun ; Dao, Long Van ; Kato, Naoya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3132-d9625cea6d8786a10f5a284e7faa8a28f79617fe09b4a300c7af06dd4a134ff63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>A prediction model</topic><topic>Acid exposure time</topic><topic>Adult</topic><topic>Aged</topic><topic>Cohort Studies</topic><topic>Contractility</topic><topic>Electric Impedance</topic><topic>Endoscopy, Digestive System</topic><topic>Esophageal pH Monitoring</topic><topic>Female</topic><topic>Gastroesophageal reflux</topic><topic>Gastroesophageal Reflux - diagnosis</topic><topic>Gastroesophageal reflux disease</topic><topic>High‐resolution manometry</topic><topic>Humans</topic><topic>Japan - epidemiology</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Manometry - methods</topic><topic>Middle Aged</topic><topic>pH effects</topic><topic>Prediction models</topic><topic>Predictive Value of Tests</topic><topic>Risk Factors</topic><topic>Risk groups</topic><topic>Sex Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sonoda, Michiko</creatorcontrib><creatorcontrib>Matsumura, Tomoaki</creatorcontrib><creatorcontrib>Dao, Hang Viet</creatorcontrib><creatorcontrib>Shiko, Yuki</creatorcontrib><creatorcontrib>Do, Phuong Nhat</creatorcontrib><creatorcontrib>Nguyen, Binh Phuc</creatorcontrib><creatorcontrib>Okimoto, Kenichiro</creatorcontrib><creatorcontrib>Akizue, Naoki</creatorcontrib><creatorcontrib>Ohyama, Yuhei</creatorcontrib><creatorcontrib>Mamiya, Yukiyo</creatorcontrib><creatorcontrib>Nakazawa, Hayato</creatorcontrib><creatorcontrib>Takahashi, Satsuki</creatorcontrib><creatorcontrib>Horio, Ryosuke</creatorcontrib><creatorcontrib>Goto, Chihiro</creatorcontrib><creatorcontrib>Kurosugi, Akane</creatorcontrib><creatorcontrib>Kaneko, Tatsuya</creatorcontrib><creatorcontrib>Ohta, Yuki</creatorcontrib><creatorcontrib>Saito, Keiko</creatorcontrib><creatorcontrib>Taida, Takashi</creatorcontrib><creatorcontrib>Kikuchi, Atsuko</creatorcontrib><creatorcontrib>Fujie, Mai</creatorcontrib><creatorcontrib>Kato, Jun</creatorcontrib><creatorcontrib>Dao, Long Van</creatorcontrib><creatorcontrib>Kato, Naoya</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of gastroenterology and hepatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sonoda, Michiko</au><au>Matsumura, Tomoaki</au><au>Dao, Hang Viet</au><au>Shiko, Yuki</au><au>Do, Phuong Nhat</au><au>Nguyen, Binh Phuc</au><au>Okimoto, Kenichiro</au><au>Akizue, Naoki</au><au>Ohyama, Yuhei</au><au>Mamiya, Yukiyo</au><au>Nakazawa, Hayato</au><au>Takahashi, Satsuki</au><au>Horio, Ryosuke</au><au>Goto, Chihiro</au><au>Kurosugi, Akane</au><au>Kaneko, Tatsuya</au><au>Ohta, Yuki</au><au>Saito, Keiko</au><au>Taida, Takashi</au><au>Kikuchi, Atsuko</au><au>Fujie, Mai</au><au>Kato, Jun</au><au>Dao, Long Van</au><au>Kato, Naoya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A prediction model of abnormal acid reflux in gastroesophageal reflux disease</atitle><jtitle>Journal of gastroenterology and hepatology</jtitle><addtitle>J Gastroenterol Hepatol</addtitle><date>2024-09</date><risdate>2024</risdate><volume>39</volume><issue>9</issue><spage>1847</spage><epage>1855</epage><pages>1847-1855</pages><issn>0815-9319</issn><issn>1440-1746</issn><eissn>1440-1746</eissn><abstract>Background and Aim
The measurement of esophageal acid exposure time (AET) using combined multichannel intraluminal impedance–pH (MII‐pH) tests is the gold standard for diagnosing gastroesophageal reflux disease (GERD). However, this catheter‐based 24‐h test can cause considerable patient discomfort. Our aim is to identify factors affecting AET and to develop a scoring model for predicting AET abnormalities before conducting the MII‐pH test.
Methods
Of the 366 patients who underwent MII‐pH test at two facilities in Japan and Vietnam, 255 patients who also had esophagogastroduodenoscopy and high‐resolution manometry were included in this study. Logistic regression analysis was conducted using risk factors for AET > 6% identified from a derivation cohort (n = 109). A scoring system predicting AET > 6% was then constructed and externally validated with a separate cohort (n = 146).
Results
Three variables were derived from the prediction model: male gender, Hill grades III–IV, and weak mean distal contractile integrals. Based on these scores, patients were classified into low (0 point), intermediate (1–3 points), and high (4 points) risk groups. The probabilities of having an AET > 6% were 6%, 34%, and 100% for these groups, respectively. A score of < 1 excluded patients with abnormal AET, with a negative predictive value of 93.8% in the derivation cohort and 80.0% in the validation cohort.
Conclusions
We derived and externally validated a prediction model for abnormal AET. This system could assist in guiding the appropriate treatment strategies for GERD.</abstract><cop>Australia</cop><pub>Wiley Subscription Services, Inc</pub><pmid>38747056</pmid><doi>10.1111/jgh.16602</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0001-5314-9325</orcidid><orcidid>https://orcid.org/0000-0002-5809-1254</orcidid><orcidid>https://orcid.org/0000-0003-1857-577X</orcidid><orcidid>https://orcid.org/0000-0002-6609-3081</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0815-9319 |
| ispartof | Journal of gastroenterology and hepatology, 2024-09, Vol.39 (9), p.1847-1855 |
| issn | 0815-9319 1440-1746 1440-1746 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_3055454568 |
| source | Wiley |
| subjects | A prediction model Acid exposure time Adult Aged Cohort Studies Contractility Electric Impedance Endoscopy, Digestive System Esophageal pH Monitoring Female Gastroesophageal reflux Gastroesophageal Reflux - diagnosis Gastroesophageal reflux disease High‐resolution manometry Humans Japan - epidemiology Logistic Models Male Manometry - methods Middle Aged pH effects Prediction models Predictive Value of Tests Risk Factors Risk groups Sex Factors |
| title | A prediction model of abnormal acid reflux in gastroesophageal reflux disease |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T14%3A12%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20prediction%20model%20of%20abnormal%20acid%20reflux%20in%20gastroesophageal%20reflux%20disease&rft.jtitle=Journal%20of%20gastroenterology%20and%20hepatology&rft.au=Sonoda,%20Michiko&rft.date=2024-09&rft.volume=39&rft.issue=9&rft.spage=1847&rft.epage=1855&rft.pages=1847-1855&rft.issn=0815-9319&rft.eissn=1440-1746&rft_id=info:doi/10.1111/jgh.16602&rft_dat=%3Cproquest_cross%3E3111034672%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3132-d9625cea6d8786a10f5a284e7faa8a28f79617fe09b4a300c7af06dd4a134ff63%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3111034672&rft_id=info:pmid/38747056&rfr_iscdi=true |