{"title":"心胸外科医生的生存分析:第6部分-事件时间数据的解释","authors":"H Shafeeq Ahmed","doi":"10.1007/s12055-025-01911-0","DOIUrl":null,"url":null,"abstract":"<p><p>Survival analysis is critical in clinical research, especially in cardiothoracic surgery, to assess outcomes and compare interventions. Certain key survival analysis tools, including Kaplan-Meier (KM) curves, log-rank tests, and Cox proportional hazards models, are helpful in providing insights into survival probabilities and risk factors. KM curves help analyze time-to-event data, estimating survival probabilities, while log-rank tests compare survival distributions across groups. Cox proportional hazards models identify covariates influencing survival and calculate hazard ratios, which quantify the relative risk associated with specific variables. Together, these methods enable clinicians to make evidence-based decisions, optimize treatments, and improve patient outcomes.</p>","PeriodicalId":13285,"journal":{"name":"Indian Journal of Thoracic and Cardiovascular Surgery","volume":"41 5","pages":"629-644"},"PeriodicalIF":0.7000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12000494/pdf/","citationCount":"0","resultStr":"{\"title\":\"Survival analysis for cardiothoracic surgeons: part 6-interpreting time-to-event data.\",\"authors\":\"H Shafeeq Ahmed\",\"doi\":\"10.1007/s12055-025-01911-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Survival analysis is critical in clinical research, especially in cardiothoracic surgery, to assess outcomes and compare interventions. Certain key survival analysis tools, including Kaplan-Meier (KM) curves, log-rank tests, and Cox proportional hazards models, are helpful in providing insights into survival probabilities and risk factors. KM curves help analyze time-to-event data, estimating survival probabilities, while log-rank tests compare survival distributions across groups. Cox proportional hazards models identify covariates influencing survival and calculate hazard ratios, which quantify the relative risk associated with specific variables. Together, these methods enable clinicians to make evidence-based decisions, optimize treatments, and improve patient outcomes.</p>\",\"PeriodicalId\":13285,\"journal\":{\"name\":\"Indian Journal of Thoracic and Cardiovascular Surgery\",\"volume\":\"41 5\",\"pages\":\"629-644\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2025-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12000494/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian Journal of Thoracic and Cardiovascular Surgery\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s12055-025-01911-0\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/8 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian Journal of Thoracic and Cardiovascular Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s12055-025-01911-0","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/8 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Survival analysis for cardiothoracic surgeons: part 6-interpreting time-to-event data.
Survival analysis is critical in clinical research, especially in cardiothoracic surgery, to assess outcomes and compare interventions. Certain key survival analysis tools, including Kaplan-Meier (KM) curves, log-rank tests, and Cox proportional hazards models, are helpful in providing insights into survival probabilities and risk factors. KM curves help analyze time-to-event data, estimating survival probabilities, while log-rank tests compare survival distributions across groups. Cox proportional hazards models identify covariates influencing survival and calculate hazard ratios, which quantify the relative risk associated with specific variables. Together, these methods enable clinicians to make evidence-based decisions, optimize treatments, and improve patient outcomes.
期刊介绍:
The primary aim of the Indian Journal of Thoracic and Cardiovascular Surgery is education. The journal aims to dissipate current clinical practices and developments in the area of cardiovascular and thoracic surgery. This includes information on cardiovascular epidemiology, aetiopathogenesis, clinical manifestation etc. The journal accepts manuscripts from cardiovascular anaesthesia, cardiothoracic and vascular nursing and technology development and new/innovative products.The journal is the official publication of the Indian Association of Cardiovascular and Thoracic Surgeons which has a membership of over 1000 at present.DescriptionThe journal is the official organ of the Indian Association of Cardiovascular-Thoracic Surgeons. It was started in 1982 by Dr. Solomon Victor and ws being published twice a year up to 1996. From 2000 the editorial office moved to Delhi. From 2001 the journal was extended to quarterly and subsequently four issues annually have been printed out at time and regularly without fail. The journal receives manuscripts from members and non-members and cardiovascular surgeons. The manuscripts are peer reviewed by at least two or sometimes three or four reviewers who are on the panel. The manuscript process is now completely online. Funding the journal comes partially from the organization and from revenue generated by subscription and advertisement.