2021
DOI: 10.1001/jamanetworkopen.2021.1793
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Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival

Abstract: Key Points Question What is the prevalence of missing data in the medical record, and is this prevalence associated with outcome estimation for patients with cancer? Findings In this cohort study of more than 4 million patients with cancer using abstracted medical records from the National Cancer Database, a high prevalence of missing data for patients with the 3 most common cancers in the US was found. Patients with missing data had worse overall survival … Show more

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Cited by 85 publications
(66 citation statements)
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“…Completion of healthcare records is low. The evidence indicates that medical records have a high prevalence of unknown data; as such, in cancer registry data, it was seen that variables of clinical interest had between 39.7% and 71% unknown data [ 53 ]. Some nursing professionals perceive the implementation of registries as a task of little use that takes time away from patient care [ 54 ].…”
Section: Discussionmentioning
confidence: 99%
“…Completion of healthcare records is low. The evidence indicates that medical records have a high prevalence of unknown data; as such, in cancer registry data, it was seen that variables of clinical interest had between 39.7% and 71% unknown data [ 53 ]. Some nursing professionals perceive the implementation of registries as a task of little use that takes time away from patient care [ 54 ].…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, a sizable proportion of patients was excluded from the study due to the missing stage. The direction and degree of bias resulting from missing data is not fully known; evidence suggests that survival outcomes are overestimated and that minority patients are underrepresented 43 . This limitation cannot be easily overcome with data imputation, which would also introduce error.…”
Section: Discussionmentioning
confidence: 99%
“…The direction and degree of bias resulting from missing data is not fully known; evidence suggests that survival outcomes are overestimated and that minority patients are underrepresented. 43 This limitation cannot be easily overcome with data imputation, which would also introduce error. Finally, although preference for one treatment modality for another should be informed by the ultimate outcome of survival benefit, survival analyses using cancer registry data such as the NCDB must be viewed cautiously due to the lack of detailed information on clinically relevant factors including types and doses of chemotherapy received.…”
Section: Sensitivity Analysismentioning
confidence: 99%
“…In our analysis, we have selected a number of covariates based on studies conducted from the National Cancer Database (NCDB) ( 10 , 11 ). There are a number of studies documenting limitations of using the NCDB, namely, selection bias, lack of clinically relevant endpoints, and prevalence of missing data among hospital-based cancer patients ( 17 , 18 ). Despite this, we believe that the results of our analysis may have been negative as nearly half of our patients who experienced delays were due to technical issues, which would be independent of sociodemographic factors.…”
Section: Discussionmentioning
confidence: 99%