{"title":"观察性研究和现实世界研究","authors":"Anthony Lockett","doi":"10.1016/j.mpmed.2025.03.010","DOIUrl":null,"url":null,"abstract":"<div><div>While randomized studies provide the best evidence, they are not practical in some circumstances, for example rare diseases. Observational and real-world studies cannot replace randomized trials but they provide evidence of causality to be interpreted with other data. Observational studies are of two types – descriptive and analytical. Observational and real-world studies suffer from several biases, mainly selection bias. This is hard to overcome, but can be mitigated by the use of propensity analysis and sensitivity analysis.</div></div>","PeriodicalId":74157,"journal":{"name":"Medicine (Abingdon, England : UK ed.)","volume":"53 6","pages":"Pages 358-360"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Observational and real-world studies\",\"authors\":\"Anthony Lockett\",\"doi\":\"10.1016/j.mpmed.2025.03.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>While randomized studies provide the best evidence, they are not practical in some circumstances, for example rare diseases. Observational and real-world studies cannot replace randomized trials but they provide evidence of causality to be interpreted with other data. Observational studies are of two types – descriptive and analytical. Observational and real-world studies suffer from several biases, mainly selection bias. This is hard to overcome, but can be mitigated by the use of propensity analysis and sensitivity analysis.</div></div>\",\"PeriodicalId\":74157,\"journal\":{\"name\":\"Medicine (Abingdon, England : UK ed.)\",\"volume\":\"53 6\",\"pages\":\"Pages 358-360\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-04-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Medicine (Abingdon, England : UK ed.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1357303925000714\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medicine (Abingdon, England : UK ed.)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1357303925000714","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
While randomized studies provide the best evidence, they are not practical in some circumstances, for example rare diseases. Observational and real-world studies cannot replace randomized trials but they provide evidence of causality to be interpreted with other data. Observational studies are of two types – descriptive and analytical. Observational and real-world studies suffer from several biases, mainly selection bias. This is hard to overcome, but can be mitigated by the use of propensity analysis and sensitivity analysis.