Section a | Study | Volrathongchai et al. (2005) [31] | Marier et al. (2016) [30] | Kuspinar et al. (2019) [29] | Lo et al. (2019) [32] |
---|---|---|---|---|---|
A | 1. Is the Clinical Prediction Rule clearly defined? | Yes | Yes | Yes | Yes |
A | 2. Is the population from which the rule was derived included an appropriate spectrum of patients? | Yes | Yes | Yes | Yes |
A | 3. Was the rule validated in a different group of patients? | No | No | Yes | No |
A | 4. Were the predictor variables and the outcome evaluated in a blinded fashion? | No | No | No | No |
A | 5. Were the predictor variables and the outcome evaluated in the whole sample selected initially? | No | Yes | Yes | No |
A | 6. Are the statistical methods used to construct and validate the rule clearly described? | Yes | Yes | Yes | Yes |
B | 7. Can the performance of the rule be calculated? | No | No | No | Yes |
B | 8. How precise was the estimate of the treatment effect? | No | Yes | No | Yes |
C | 9. Would the prediction rule be reliable and the results interpretable if used for your patient? | No | Yes | Yes | Yes |
C | 10. Is the rule acceptable in your case? | No | Yes | Yes | Can’t tell |
C | 11. Would the results of the rule modify your decision about the management of the patient or the information you can give to him/her? | No | Yes | Yes | Can’t tell |
Overall Score | Percentage of ‘yes’ responses | 27.3% | 72.7% | 72.7% | 54.5% |