Use of knowledge bank approaches implies that estimated risk factors are reclassified over patients (inter-patient risk reclassification) [36, 37].
Because accurate diagnostic testing for SARS is currently lacking, intervention measures aimed at more efficient diagnosis, isolation of suspected SARS patients, and reclassification procedures could greatly reduce the number of infections in future outbreaks.
In light of the present lack of accurate diagnostic testing for SARS, public health measures aimed at more efficient clinical diagnosis, isolation of suspected case-patients, and reclassification procedures could greatly reduce the number of infections in future outbreaks.
When trials provide full data, serious errors in reporting can come to light, such as omitted patients, 33 reclassification of causes of death, 34 35 or studies based on fictitious data.
To obtain a "mean effective reproductive number for the observed time period," R*, we use the mean admission rate by suspected cases and multiply it by the mean time the person spent as a suspected case-patient before reclassification (12.56 days) to get R* = 4.23.
We proposed a dynamic model to reflect the actual sequence of events for a reported case-patient in Taiwan, from onset to admission at a hospital as a suspected case-patient to either reclassification as a probable case-patient or removal from the suspected SARS category, and finally reclassification from probable case to discharged case or fatality.
When patients were divided into four categories of mortality likelihood, there were a total of 26 388 (44%) patients who required reclassification for their 30-day mortality risk.
When examining 1-year mortality risk, there were a total of 18 445 (31%) patients that required reclassification, with a net reclassification improvement of 4.4%95%5% CI 3.5%to5.2%2%).
A lack of consensus about when and whether a physician, researcher or genetic counselor has a duty to re-contact patients upon variant reclassification adds an additional layer of ethical and logistical complexity to the technical uncertainty [ 58].
Given that the implications of differences in AUCs can be difficult to interpret, we set to calculate how many patients would undergo reclassification of mortality risk depending on which index score was used.
