Table 1.
Quality Assessment of Diagnostic Accuracy Studies-2 criteria used for qualitative assessment description.
| Patient selection | Index test | Reference standard | Flow and timing |
| Signaling question 1: Data preprocessing specified? | Signaling question 1: Data acquisition methods detailed? | Signaling question 1: Is the reference standard likely to correctly classify the target condition? | Signaling question 1: Was there an appropriate interval between index tests and reference standard? |
| Signaling question 2: At least 50 participants were selected for analysis | Signaling question 2: BGa-level forecasting or prediction approach detailed? That is, network architecture provided or MLb models parameters? | Signaling question 2: Were the reference standard results interpreted without knowledge of the results of the index test? | Signaling question 2: Did all patients receive a reference standard? |
| Signaling question 3: Balance of number of participants within the subgroups (ie, diabetic or nondiabetic, male or female, healthy or some disease) | Signaling question 3: More than one performance metrics used | Signaling question 3: Sufficient detail to allow replication about definition of ground truth (Was the method described in sufficient detail to reproduce the presented results?) |
|
aBG: blood glucose.
bML: machine learning.