[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-353906-105":59,"doc-detail-353906-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","volume-over-location-prioritizing-case-volume-over-regional-distribution-in-ovarian-cancer-treatment","Volume over location - prioritizing case volume over regional distribution in ovarian cancer treatment","","This retrospective cohort study evaluates how hospital surgical volume and hospital region affect overall survival in patients undergoing ovarian cancer surgery. Using nationwide Korean claims data from 2012–2020, hospitals were grouped as high-volume (≥20) or low-volume (\u003C20). Propensity score matching (1:1) balanced confounders. Overall survival was analyzed with Kaplan–Meier curves, log-rank tests, and Cox regression, including stage-specific subgroup analyses.",{"@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/volume-over-location-prioritizing-case-volume-over-regional-distribution-in-ovarian-cancer-treatment/353906/",{"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/volume-over-location-prioritizing-case-volume-over-regional-distribution-in-ovarian-cancer-treatment/353906.png","ImageObject",300,407,{"name":92,"@type":93},"Jake","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29","2026-09-22",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the study objective regarding ovarian cancer treatment outcomes?","Question",{"text":113,"@type":114},"The study examines the impact of hospital surgical volume and hospital region on overall survival for ovarian cancer patients receiving surgery.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were hospitals categorized in the analysis?",{"text":118,"@type":114},"Hospitals were classified as high-volume (annual upfront ovarian cancer surgery volume ≥20) or low-volume (\u003C20).",{"name":120,"@type":111,"acceptedAnswer":121},"What did the study find about high-volume versus low-volume hospitals?",{"text":122,"@type":114},"Treatment at high-volume hospitals was associated with a 21% lower mortality risk, and this survival advantage persisted across localized/regional and distant-stage disease.","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},353906,1790503212,{"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":105,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},962084928904,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","J Gynecol Oncol. 2026 Mar;37(2):e58 [https://doi.org/10.3802/jgo.2026.37.e58](https://doi.org/10.3802/jgo.2026.37.e58)[ ](https://doi.org/10.3802/jgo.2026.37.e58)pISSN 2005-0380·eISSN 2005-0399  \nOriginal Article  \nReceived: Jun 24, 2025  \nRevised: Oct 27, 2025  \nAccepted: Nov 27, 2025  \nPublished online: Jan 5, 2026  \nCorrespondence to  \nSokbom Kang  \nDivision of Clinical Research, Research Institute; Center of Uterine Cancer; Center of Gynecologic Cancer, National Cancer Center, 323 Ilsan-ro, Ilsandong-gu, Goyang 10408, Korea.  \nEmail: [sokbom@ncc.re.kr](sokbom@ncc.re.kr)  \n© 2026. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology, and Japan Society of Gynecologic Oncology  \nThis is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ([https://](https://)[ ](https://)[creativecommons.org/licenses/by-nc/4.0/](creativecommons.org/licenses/by-nc/4.0/)) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.  \nORCID iDs  \nByeong-Chan Oh  [https://orcid.org/0000-0001-5169-4477](https://orcid.org/0000-0001-5169-4477)[ ](https://orcid.org/0000-0001-5169-4477)Sokbom Kang  [https://orcid.org/0000-0002-8428-9555](https://orcid.org/0000-0002-8428-9555)  \nVolume over location: prioritizing case volume over regional distribution in ovarian cancer treatment  \nByeong-Chan Oh ,1 Sokbom Kang  1,2,3  \n1Division of Clinical Research, Research Institute, National Cancer Center, Goyang, Korea 2Center of Uterine Cancer, National Cancer Center, Goyang, Korea  \n3Center of Gynecologic Cancer, National Cancer Center, Goyang, Korea  \nABSTRACT  \nObjective: The aim of this study was to examine the impact of hospital surgical volume and hospital region on overall survival (OS) in patients with ovarian cancer.  \nMethods: This retrospective cohort study utilized nationwide claims data from Korea (2012–2020) to analyze ovarian cancer patients who underwent surgery. Hospitals were classified as high-volume (≥20) or low-volume (\u003C20) based on the annual volume of upfront ovarian cancer surgeries. Propensity score matching (PSM) (1:1) addressed confounder imbalances between the groups. OS was assessed via Kaplan-Meier analysis, log-rank tests, and Cox regression, with subgroup analyses by cancer stage.  \nResults: A total of 11,510 patients were included in the cohort (high-volume: 8,241; lowvolume: 3,269), with 3,236 matched pairs identified through PSM. Compared with lowvolume hospitals, treatment at high-volume hospitals was associated with a 21% reduction in mortality risk (adjusted hazard ratio [aHR]=0.79; 95% confidence interval [CI]=0.70–0.89) . This survival advantage persisted across localized/regional (aHR=0.77; 95% CI=0.63–0.95) and distant-stage disease (aHR=0.81; 95% CI=0.71–0.92) . In contrast, hospital location (capital vs. noncapital) was not significantly associated with OS in the entire cohort (aHR=1.09; 95% CI=0.97–1.21) or in stage-specific analyses.  \nConclusion: These findings highlight that instead of simply distributing hospitals geographically, establishing high-volume surgical centers is crucial to improving survival outcomes for patients with ovarian cancer.  \nKeywords: Ovarian Neoplasms; Hospitals, High-Volume; Hospitals, Low-Volume; Survival  \nSynopsis  \nThis study examined the impact of hospital surgical volume on overall survival in ovarian cancer. This large-scale analysis showed improved survival among patients treated at high-volume hospitals. The survival benefit persisted across localized/regional and distant disease stages. Hospital region did not significantly influence overall survival.  \n[https://ejgo.org](https://ejgo.org) 1/11  \nVolume over location in ovarian cancer treatment  \nFunding  \nThis work was supported by grants from the National Cancer Center, Korea (NCC- 2310500) . The funders had no role in the design or conduct of the study; collection, mana","cbCaiv27E8TAk7bp","https://ap.wps.com/l/cbCaiv27E8TAk7bp","pdf",1116067,"English","# Abstract\n## Objective\n## Methods\n## Results\n## Conclusion\n# Introduction\n## Background and standard treatment\n## Prior evidence on surgical volume\n## Rationale for stage-specific analysis","[{\"question\":\"What is the study objective regarding ovarian cancer treatment outcomes?\",\"answer\":\"The study examines the impact of hospital surgical volume and hospital region on overall survival for ovarian cancer patients receiving surgery.\"},{\"question\":\"How were hospitals categorized in the analysis?\",\"answer\":\"Hospitals were classified as high-volume (annual upfront ovarian cancer surgery volume ≥20) or low-volume (\\u003c20).\"},{\"question\":\"What did the study find about high-volume versus low-volume hospitals?\",\"answer\":\"Treatment at high-volume hospitals was associated with a 21% lower mortality risk, and this survival advantage persisted across localized/regional and distant-stage disease.\"}]","Volume over location - prioritizing case volume over regional distribution in ovarian cancer treatment | PDF",1790107867,28]