[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-361329-105":59,"doc-detail-361329-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","predicting-ppoi-secondary-to-laparoscopic-radical-resection-of-rectal-cancer-combined-with-lobaplatin-hyperthermic-intraperitoneal-chemotherapy-a-multi-center-study","Predicting PPOI secondary to laparoscopic radical resection of rectal cancer combined with lobaplatin hyperthermic intraperitoneal chemotherapy - a multi-center study","","PPOI is a frequent complication of intraperitoneal hyperthermic chemotherapy used during laparoscopic radical rectal cancer surgery and can substantially worsen patient outcomes. This multi-center study aims to build a prediction system for PPOI occurring after laparoscopic radical resection combined with lobaplatin-based intraperitoneal hyperthermic chemotherapy. Clinical data from 800 patients across three Grade A hospitals (2014-2024) were analyzed to identify predictors and train eight machine-learning models, with RF selected as optimal. Model performance was assessed using ROC, calibration, decision-curve, PR-curve, and confusion-matrix metrics, and interpretation was performed via SHAP.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/predicting-ppoi-secondary-to-laparoscopic-radical-resection-of-rectal-cancer-combined-with-lobaplatin-hyperthermic-intraperitoneal-chemotherapy-a-multi-center-study/361329/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/predicting-ppoi-secondary-to-laparoscopic-radical-resection-of-rectal-cancer-combined-with-lobaplatin-hyperthermic-intraperitoneal-chemotherapy-a-multi-center-study/361329.png","ImageObject",300,407,{"name":92,"@type":93},"mieayamfan","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-27","2026-09-23",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the purpose of this study?","Question",{"text":113,"@type":114},"To establish a prediction system for PPOI secondary to laparoscopic radical resection of rectal cancer combined with lobaplatin intraperitoneal hyperthermic chemotherapy.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were predictive factors identified?",{"text":118,"@type":114},"The study retrospectively analyzed clinical data of 800 patients and determined predictive factors using univariate, multivariate, and Lasso regression analyses.",{"name":120,"@type":111,"acceptedAnswer":121},"Which model performed best and what was used for interpretation?",{"text":122,"@type":114},"All eight machine-learning models showed good performance, and the Random Forest (RF) model was identified as optimal. SHAP analysis was used to interpret feature importance and support decision-making.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},361329,1790193087,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":146},962090893677,"https://ap-avatar.wpscdn.com/davatar_3d24733baf745e90a7e4bdd5f77d97b2","Zhang et al. BMC Surgery (2026) 26:569 BMC Surgery  \n[https://doi.org/10.1186/s12893-026-03908-x](https://doi.org/10.1186/s12893-026-03908-x)  \nRESEARCH Open Access  \nPredicting PPOI secondary to laparoscopic  radical resection of rectal cancer combined with lobaplatin hyperthermic intraperitoneal chemotherapy: a multi-center study  \nWei Zhang1†, Baitong Che2†, NanYang3, Feifei Cheng3, Qun Xu5, Yaxun Li5, Jinkun Xie4, Chongshi Gao4, Zhiyong Yang4, Donglin Ma4, Tianxiao Zhang4, Zewen Ba4 and Weibin Zhang2*  \nAbstract  \nPurpose PPOI is one of the common complications of intraperitoneal hyperthermic chemotherapy during laparoscopic radical resection of rectal cancer, which seriously affects the prognosis of patients. The purpose of this study is to establish a prediction system for PPOI secondary to laparoscopic radical resection of rectal cancer combined with intraperitoneal hyperthermic chemotherapy with lobaplatin.  \nMaterials and methods Retrospectively analyzed the clinical data of 800 patients who received laparoscopic radical rectal cancer combined with lobaplatin hyperthermia and intraperitoneal chemotherapy in three Level 3 Grade A hospitals from June 1, 2014, to June 1, 2024, and determined the predictive factors through univariate, multivariate, and Lasso regression analysis. We employ eight ML algorithms, Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), Extreme gradient boosting (XGB), Support Vector Machine (SVM), Multilayer Perceptron (MLP), K-Nearest Neighbor (KNN), Gaussian Naive Bayes (GNB), to train and develop ML models using a 10x cross-validation method. The performance of the model was evaluated by a variety of indicators, including the area under the receiver operating characteristic curve (ROC), calibration curve, decision curve, PR curve, and confusion matrix. In addition, model interpretation is performed through Shapley Additive Interpretation (SHAP) analysis to clarify the importance of each feature of the model and its basis for decision-making.  \nResults We identified six key predictors, including Surgical bleeding, Duration of surgery, HB, WBC, ALB andadhesiolysis, and built a prediction model based on these factors. The sensitivity, specificity, positive predictive value, and negative predictive value of different models were compared. All eight models showed good predictive performance and stability, with the RF model being the optimal model. Finally, we developed a web-based calculator based on the optimal model.  \n†Wei Zhang and Baitong Che contributed equally to this work.  \n*Correspondence:  \nWeibin Zhang [webean_zhang@163.com](webean_zhang@163.com)  \nFull list of author information is available at the end of the article  \n© The Author(s) 2026. Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit [http://creati](http://creati)[vecommons.org/licenses/by-nc-nd/4.0/](vecommons.org/licenses/by-nc-nd/4.0/.)[.](vecommons.org/licenses/by-nc-nd/4.0/.)  \nZhang et al. BMC Surgery (2026) 26:569 Page 2 of 11  \nConclusions These predictors and models were able to assess the potential for ","cbCaifBXtLHiWSi3","https://ap.wps.com/l/cbCaifBXtLHiWSi3","pdf",2588055,11,"English","# Abstract\n## Purpose\n## Materials and methods\n## Results\n## Conclusions\n# Keywords\n# Introduction","[{\"question\":\"What is the purpose of this study?\",\"answer\":\"To establish a prediction system for PPOI secondary to laparoscopic radical resection of rectal cancer combined with lobaplatin intraperitoneal hyperthermic chemotherapy.\"},{\"question\":\"How were predictive factors identified?\",\"answer\":\"The study retrospectively analyzed clinical data of 800 patients and determined predictive factors using univariate, multivariate, and Lasso regression analyses.\"},{\"question\":\"Which model performed best and what was used for interpretation?\",\"answer\":\"All eight machine-learning models showed good performance, and the Random Forest (RF) model was identified as optimal. SHAP analysis was used to interpret feature importance and support decision-making.\"}]","Predicting PPOI secondary to laparoscopic radical resection of rectal cancer combined with lobaplatin hyperthermic intraperitoneal chemotherapy - a multi-center study | PDF",1790143951,28]