Therefore, that the most important consequence of the moderate sensitivity of registry diagnosis was loss of statistical power that, given the size of the study, may not have affected the results to a large extent.
In an attempt to improve the sensitivity of registry-based identification of metastases from prostate cancer, we tested a series of algorithms, combining elevated prostate-specific antigen (PSA) levels, use of antiresorptive therapy, and performed bone scintigraphy.
We performed sensitivity analyses by registry (leaving out each registry one at a time), stomach shape (Supplementary Figure 1) and tightness of matching of controls, and by excluding cases with a prior partial gastrectomy (N=4) or controls who did not match the case within 5 years with regard to year of birth (N=2), year of TC diagnosis (N=1) or follow-up window (N=3).
We calculated sensitivity as (+patient registry + records)/[(+patient registry + records) + (−patient registry + records)].
Probe-based confocal laser endomicroscopy (pCLE) showed excellent sensitivity in a registry; however, it has not been validated in a prospective study.
The registry sensitivity is estimated to be 96% based on chart review (15).
To evaluate the sensitivity of the registry managers' evaluation of immunization discrepancies, artificial discrepancies were created in 10% of provider records and the detection of these discrepancies was tracked.
Sensitivity of DNIP registry data was expressed as the proportion of patients who were registered with a verified and received process of care in the DNIP (numerator), divided by the total number of patients in our random sample who received a process of care, based on the medical records (denominator).
13, 29– 32 Fewer studies have examined the sensitivity of discharge registries; a sensitivity of 76%82%% was reported from an Italian hospital discharge register, 25 whereas a sensitivity of 88%93%% was found in Swedish and Norwegian hospital discharge registers, 13, 28, 31, 33 85%97%% in a Finnish hospital discharge register, 26, 27 and 76% in an American hospital discharge register.
Completeness is largely determined by the registry's sensitivity and depends on the amount of missing data.
