Jane Jomy, Rachel Lu, Radha Sharma, Ke Xin Lin, David C Chen, Jeff Winter, Srinivas Raman
{"title":"关于放射肿瘤学机构同行评审影响的系统回顾和荟萃分析。","authors":"Jane Jomy, Rachel Lu, Radha Sharma, Ke Xin Lin, David C Chen, Jeff Winter, Srinivas Raman","doi":"10.1016/j.radonc.2024.110622","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Radiotherapy peer review is recognized as a key component of institutional quality assurance, though the impact is ill-defined. We conducted the first systematic review and meta-analysis to date to quantify the impact of institutional peer review on the treatment planning workflow including radiotherapy contours, prescription and dosimetry.</p><p><strong>Methods: </strong>We searched several medical and healthcare databases from January 1, 2000, to May 25, 2024, for papers that report on the impact of institutional radiotherapy peer review on treatment plans. We conducted random-effects meta-analyses of proportions to summarize the rates of any change recommendation and major change recommendation (suggesting re-planning or re-simulation due to safety concerns) following peer review processes. To explore differences in change recommendations dependent on location, radiotherapy intent, technique, and peer review structure characteristics, we conducted analyses of variance.</p><p><strong>Results: </strong>Of 9,487 citations, we identified 55 studies that report on 96,444 case audits in 10 countries across various disease sites. The pooled proportion of any change recommendation was 28 % (95 %CI = 21-35) and major change recommendation was 12 % (95 %CI = 7-18). Proportions of change recommendation were not impacted by any treatment characteristics. The most common reasons for change recommendation include target volume delineation (25/55; 45 %), target dose prescription (18/55; 33 %), organ at risk dose prescription (5/55; 9 %), and organ at risk volume delineation (3/55; 5 %).</p><p><strong>Conclusions: </strong>Our review provides evidence that peer review results in treatment plan change recommendations in over one in four patients. The results suggest that some form of real-time, early peer review may be beneficial for all cases, irrespective of treatment intent or RT technique.</p>","PeriodicalId":21041,"journal":{"name":"Radiotherapy and Oncology","volume":" ","pages":"110622"},"PeriodicalIF":4.9000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A systematic review and meta-analysis on the impact of institutional peer review in radiation oncology.\",\"authors\":\"Jane Jomy, Rachel Lu, Radha Sharma, Ke Xin Lin, David C Chen, Jeff Winter, Srinivas Raman\",\"doi\":\"10.1016/j.radonc.2024.110622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Radiotherapy peer review is recognized as a key component of institutional quality assurance, though the impact is ill-defined. We conducted the first systematic review and meta-analysis to date to quantify the impact of institutional peer review on the treatment planning workflow including radiotherapy contours, prescription and dosimetry.</p><p><strong>Methods: </strong>We searched several medical and healthcare databases from January 1, 2000, to May 25, 2024, for papers that report on the impact of institutional radiotherapy peer review on treatment plans. We conducted random-effects meta-analyses of proportions to summarize the rates of any change recommendation and major change recommendation (suggesting re-planning or re-simulation due to safety concerns) following peer review processes. To explore differences in change recommendations dependent on location, radiotherapy intent, technique, and peer review structure characteristics, we conducted analyses of variance.</p><p><strong>Results: </strong>Of 9,487 citations, we identified 55 studies that report on 96,444 case audits in 10 countries across various disease sites. The pooled proportion of any change recommendation was 28 % (95 %CI = 21-35) and major change recommendation was 12 % (95 %CI = 7-18). Proportions of change recommendation were not impacted by any treatment characteristics. The most common reasons for change recommendation include target volume delineation (25/55; 45 %), target dose prescription (18/55; 33 %), organ at risk dose prescription (5/55; 9 %), and organ at risk volume delineation (3/55; 5 %).</p><p><strong>Conclusions: </strong>Our review provides evidence that peer review results in treatment plan change recommendations in over one in four patients. The results suggest that some form of real-time, early peer review may be beneficial for all cases, irrespective of treatment intent or RT technique.</p>\",\"PeriodicalId\":21041,\"journal\":{\"name\":\"Radiotherapy and Oncology\",\"volume\":\" \",\"pages\":\"110622\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Radiotherapy and Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.radonc.2024.110622\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Radiotherapy and Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.radonc.2024.110622","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
A systematic review and meta-analysis on the impact of institutional peer review in radiation oncology.
Background: Radiotherapy peer review is recognized as a key component of institutional quality assurance, though the impact is ill-defined. We conducted the first systematic review and meta-analysis to date to quantify the impact of institutional peer review on the treatment planning workflow including radiotherapy contours, prescription and dosimetry.
Methods: We searched several medical and healthcare databases from January 1, 2000, to May 25, 2024, for papers that report on the impact of institutional radiotherapy peer review on treatment plans. We conducted random-effects meta-analyses of proportions to summarize the rates of any change recommendation and major change recommendation (suggesting re-planning or re-simulation due to safety concerns) following peer review processes. To explore differences in change recommendations dependent on location, radiotherapy intent, technique, and peer review structure characteristics, we conducted analyses of variance.
Results: Of 9,487 citations, we identified 55 studies that report on 96,444 case audits in 10 countries across various disease sites. The pooled proportion of any change recommendation was 28 % (95 %CI = 21-35) and major change recommendation was 12 % (95 %CI = 7-18). Proportions of change recommendation were not impacted by any treatment characteristics. The most common reasons for change recommendation include target volume delineation (25/55; 45 %), target dose prescription (18/55; 33 %), organ at risk dose prescription (5/55; 9 %), and organ at risk volume delineation (3/55; 5 %).
Conclusions: Our review provides evidence that peer review results in treatment plan change recommendations in over one in four patients. The results suggest that some form of real-time, early peer review may be beneficial for all cases, irrespective of treatment intent or RT technique.
期刊介绍:
Radiotherapy and Oncology publishes papers describing original research as well as review articles. It covers areas of interest relating to radiation oncology. This includes: clinical radiotherapy, combined modality treatment, translational studies, epidemiological outcomes, imaging, dosimetry, and radiation therapy planning, experimental work in radiobiology, chemobiology, hyperthermia and tumour biology, as well as data science in radiation oncology and physics aspects relevant to oncology.Papers on more general aspects of interest to the radiation oncologist including chemotherapy, surgery and immunology are also published.