Evidence map›Paper›PMID 41840374›Full record

ArticleBMC gastroenterology2026

Factors associated with postoperative symptom improvement and prediction model development in hiatal hernia patients: a retrospective study.

Haonan Huang, Ning Ma, Tao Ma, Chuangxiong Liu, Enming Huang, Fuxing Tang, Taicheng Zhou

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Article in BMC gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Haonan Huang *Department of General Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Ning Ma *Department of General Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Tao MaDepartment of General Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Chuangxiong LiuDepartment of General Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Enming HuangDepartment of General Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Fuxing TangDepartment of General Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Taicheng ZhouDepartment of General Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China. zhoutch3@mail.sysu.edu.cn.

Funding

The Postdoctoral Fellowship Program of CPSF GZB20240902
6 · The paper itself

Abstract

backgroundOur purpose was to analyze the factors influencing the improvement of symptoms postoperatively in patients with a hiatal hernia (HH), and build a clinical prediction model.

methodsThe records of 121 patients with a HH who received surgery at the Sixth Affiliated Hospital of Sun Yat-Sen University from April 2019 to October 2022 were retrospectively reviewed. Patients were divided into a good improvement group (88 patients) and a poor improvement group (33 patients) according to the improvement of symptoms postoperatively. Patient demographic and clinical data, and high-resolution manometry (HRM) data were extracted from the records, and data of the 2 groups were compared by univariate analysis. Statistically significant factors (p < 0.05) were incorporated into a multivariate logistic regression model to determine independent factors of postoperative symptom improvement. A clinical prediction model and a nomogram were constructed. Receiver operating characteristic (ROC) curve and calibration curve analysis were used to predict the accuracy of the model. Decision curve analysis (DCA) was used to evaluate the clinical applicability of the model.

resultsMultivariate logistic regression analysis showed that non-smoking history and level of distal contraction integral (DCI) were independent factors affecting postoperative symptom improvement of HH patients. The accuracy of the test scoring system shows that the C index is 0.878.

conclusionsThe Improvement of symptoms postoperatively in HH patients is affected by smoking history and DCI level. The clinical prediction model established based on these results has good efficacy in predicting the outcomes of patients with a HH who undergo surgery.

Indexed as

Hernia, HiatalHerniorrhaphyAdultAgedFemaleHumansLogistic ModelsMaleManometryMiddle AgedNomogramsPostoperative PeriodPrediction AlgorithmsRetrospective StudiesROC CurveTreatment OutcomeClinical prediction modelHiatal herniaLaparoscopesNomogram

Identifiers

PMID41840374
PMCPMC13104405

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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.