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This study identifies factors affecting the survival time of outpatients with cervical cancer. Methods: A retrospective hospital-based study included 322 outpatients with cervical cancer using medical records from May 15, 2018 to May 15, 2022. Kaplan–Meier plots and log-rank tests compared survival functions; Cox-PH and Bayesian parametric survival models analyzed survival times using integrated nested Laplace approximation. Results: 118 of 322 patients (36.6%) died, with a median survival time of 42 months. The Bayesian log-normal accelerated failure time model fit best and showed multiple significant predictors.",{"@graph":69,"@context":122},[70,84,105],{"@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":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/assessing-survival-time-of-outpatients-with-cervical-cancer-at-the-university-of-gondar-referral-hospital-using-the-bayesian-approach/384445/",{"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/assessing-survival-time-of-outpatients-with-cervical-cancer-at-the-university-of-gondar-referral-hospital-using-the-bayesian-approach/384445.png","ImageObject",300,407,{"name":92,"@type":93},"CatatanPagi","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-28","2026-09-24",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the main objective of the study on cervical cancer outpatients?","Question",{"text":112,"@type":113},"The study aimed to identify factors that affect the survival time of outpatients with cervical cancer.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What study design and data sources were used?",{"text":117,"@type":113},"A retrospective hospital-based study used medical records of 322 outpatients with cervical cancer from May 15, 2018 to May 15, 2022 at the University of Gondar referral hospital.",{"name":119,"@type":110,"acceptedAnswer":120},"Which statistical approaches were used to analyze survival time?",{"text":121,"@type":113},"Survival functions were compared using Kaplan–Meier plots and the log-rank test. 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BMC Women’s Health (2023) 23:59 [https://doi.org/10.1186/s12905-023-02202-9](https://doi.org/10.1186/s12905-023-02202-9)  \nBMC Women’s Health  \n RESEARCH Open Access  \nAssessing survival time of outpatients  \nwith cervical cancer: at the university of Gondar referral hospital using the Bayesian approach  \nChalachew Gashu1*, BuzunehTasfa2, Chekol Alemu3 andYoseph Kassa 1  \nAbstract  \nBackground Cervical cancer is the 4th most common cancer in women worldwide. as well as the 4th most common cause of cancer-related death. The main objective of this study was to identify factors that affect the survival time of outpatients with cervical cancer.  \nMethods A retrolective study including outpatients with cervical cancer was carried out in a hospital. To achieve the aim, 322 outpatients with cervical cancer were included in the study based on the data taken from the medical records of patients enrolled from May 15, 2018, to May 15, 2022, at the University of Gondar referral hospital, Gondar, Ethiopia. The Kaplan–Meier plots and log-rank test were used for the comparison of survival functions; the Cox-PH model and Bayesian parametric survival models were used to analyze the survival times of outpatients with cervical cancer. Integrated nested Laplace approximation methods have been applied.  \nResults Out of a total of 322 patients, 118 (36 . 6%) died as outpatients. The estimated median survival time for patients was 42 months. Using model selection criteria, the Bayesian log-normal accelerated failure time model was found to be appropriate. According to the results of this model, oral contraceptive use, HIV, stage, grade, co-morbid disease, history of abortion, weight, histology type, FIGO stage, radiation, chemotherapy, LVSI, metastatic number, regional nodes examined, and tumor size all have a significant impact on the survival time of outpatients with cervical cancer. The Bayesian log-normal accelerated failure time model accurately predicted the survival time of cervical cancer outpatients.  \nConclusions The findings ofthis study suggested that reductions in weight, treatment, the presence of comorbid disease, the presence of HIV, squamous cell histology type, having a history of abortion, oral contraceptive use, a large tumor size, an increase in the International Federation of Gynecologists and Obstetricians stage, an increase in metastasis number, an increase in grade, positive regional nodes, lymphatic vascular space invasion, and late stages of cancer all shortened the survival time of cervical cancer outpatients.  \nKeywords Cervical cancer, Bayesian, Survival data analysis, Survival time, Integrated nested Laplace approximation  \n*Correspondence: Chalachew Gashu[chalachew154@gmail.com](chalachew154@gmail.com)  \n1 Department of Statistics, College of Natural and Computational Science, Oda Bultum University, Chiro, Ethiopia  \n2 Department of Epidemiology, Faculty of Public Health, Jima University, Jima, Ethiopia  \n3 Department of Statistics, College of Natural and Computational Science, Gambella University, Gambella, Ethiopia  \n© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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://creativecommons.org/licenses/by/4.0/](http://creativecommons.org/lic","cbCaitXpfiSHMUgT","https://ap.wps.com/l/cbCaitXpfiSHMUgT","pdf",1118845,14,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusions\n# Introduction","[{\"question\":\"What was the main objective of the study on cervical cancer outpatients?\",\"answer\":\"The study aimed to identify factors that affect the survival time of outpatients with cervical cancer.\"},{\"question\":\"What study design and data sources were used?\",\"answer\":\"A retrospective hospital-based study used medical records of 322 outpatients with cervical cancer from May 15, 2018 to May 15, 2022 at the University of Gondar referral hospital.\"},{\"question\":\"Which statistical approaches were used to analyze survival time?\",\"answer\":\"Survival functions were compared using Kaplan–Meier plots and the log-rank test. Survival times were analyzed using Cox-PH and Bayesian parametric survival models, with integrated nested Laplace approximation methods.\"}]","Assessing survival time of outpatients with cervical cancer: at the university of Gondar referral hospital using the Bayesian approach | PDF",1790263331,35]