quantitative
Analysis v1
43
0
A simple scoring tool using belly fat and good cholesterol levels before surgery can accurately predict how much belly fat will be lost after surgery, with 88% accuracy in new patient groups.
Scientific Claim
A predictive nomogram combining preoperative VAT and HDL-c levels demonstrated strong discriminatory power for VAT reduction after LSG, with an area under the curve (AUC) of 0.88 (95% CI 0.78-0.98) in external validation.
Original Statement
“The ROC curve for the external validation group was also plotted (Fig. 2B), with the AUC value for the external validation of the prediction model being 0.88 (95% CI: 0.78–0.98).”
Evidence Quality Assessment
Claim Status
appropriately stated
Study Design Support
Design supports claim
Appropriate Language Strength
association
Can only show association/correlation
Assessment Explanation
The claim describes a quantitative measure of model performance (AUC) without causal language, which is appropriate for the study's observational design.
Evidence from Studies
Supporting (1)
43
Contradicting (0)
0
No contradicting evidence found