A Pain-informed Predictive Model and Mediation Analysis for Postoperative Nausea after Metabolic Bariatric Surgery: Insights from the PAIN OUT Registry.

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Title: A Pain-informed Predictive Model and Mediation Analysis for Postoperative Nausea after Metabolic Bariatric Surgery: Insights from the PAIN OUT Registry.
Authors: Xu H; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Zhang P; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.; Department of Anesthesiology, Nanjing Qixia District Hospital, Nanjing, China., Ding X; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.; Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China., Xu S; Department of Anesthesiology and Pain Medicine, Geriatric Hospital of Nanjing Medical University, Nanjing, China., Yin L; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Qian Y; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China., Gui B; Department of Anesthesiology and Pain Medicine, Geriatric Hospital of Nanjing Medical University, Nanjing, China. guibosy@njmu.edu.cn.
Source: Obesity surgery [Obes Surg] 2026 May; Vol. 36 (5), pp. 2110-2122. Date of Electronic Publication: 2026 Apr 02.
Publication Type: Journal Article
Journal Info: Publisher: Springer Science + Business Media Country of Publication: United States NLM ID: 9106714 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1708-0428 (Electronic) Linking ISSN: 09608923 NLM ISO Abbreviation: Obes Surg Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A Pain-informed Predictive Model and Mediation Analysis for Postoperative Nausea after Metabolic Bariatric Surgery: Insights from the PAIN OUT Registry.
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  Data: <searchLink fieldCode="AU" term="%22Xu+H%22">Xu H</searchLink>; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Zhang+P%22">Zhang P</searchLink>; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.; Department of Anesthesiology, Nanjing Qixia District Hospital, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Ding+X%22">Ding X</searchLink>; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.; Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Xu+S%22">Xu S</searchLink>; Department of Anesthesiology and Pain Medicine, Geriatric Hospital of Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Yin+L%22">Yin L</searchLink>; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Qian+Y%22">Qian Y</searchLink>; Department of Anesthesiology and Perioperative Medicine, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Gui+B%22">Gui B</searchLink>; Department of Anesthesiology and Pain Medicine, Geriatric Hospital of Nanjing Medical University, Nanjing, China. guibosy@njmu.edu.cn.
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        Value: 10.1007/s11695-026-08523-6
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        Text: English
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      – TitleFull: A Pain-informed Predictive Model and Mediation Analysis for Postoperative Nausea after Metabolic Bariatric Surgery: Insights from the PAIN OUT Registry.
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            NameFull: Xu H
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            NameFull: Zhang P
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            – D: 01
              M: 05
              Text: 2026 May
              Type: published
              Y: 2026
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              Value: 36
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