Naslov
Accuracy of papillary thyroid cancer prognostic nomograms: a systematic review

Autori
Garo, Maria Luisa ; Deandreis, Desiree ; Campennì, Alfredo ; Vrachimis, Alexis ; Petranovic Ovcaricek, Petra ; Giovanella, Luca

Izvornik
Endocrine Connections (2049-3614) (2023); EC-22-0457, 34

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, ostalo

Ključne riječi
papillary thyroid cancer ; nomograms ; accuracy ; DTC

Sažetak
Objective: To perform a systematic review to evaluate the predictive performance of available nomograms for thyroid cancer patients. Design and methods: PROSPERO registration: CRD42022327028. A systematic search was conducted without time and language restrictions. PICOT question: (Population): patients with papillary thyroid cancer ; (Comparator Prognostic Factor): single-arm studies ; (Outcomes): Overall survival, disease-free survival, cancer-specific survival, recurrence, central lymph node metastases, or lateral lymph node metastases ; (Timing): all periods ; (Setting): Hospital setting. Risk of Bias was assessed through PROBAST tool. Results: Eighteen studies with a total of 20 prognostic models were included in the systematic review (90, 969 PTC patients). Fourteen models were at high risk of bias and four were at unclear risk of bias. The greatest concerns arose in the analysis domain. The accuracy of nomograms for overall survival was assessed in only one study and appeared limited (0.77, 95%CI: 0.75-0.79). The accuracy of nomograms for disease-free survival ranged from 0.65 (95% CI: 0.55-0.75) to 0.92 (95%CI: 0.91-0.95). The C-index for predicting lateral lymph node metastasis ranged from 0.72 to 0.92 (95%CI: 0.86-0.97). For central lymph node metastasis, the C-index of externally validated studies ranged from 0.706 (95%CI: 0.685-0.727) to 0.923 (95%CI: 0.893-0.946). Conclusions: Our work highlights the extremely high heterogeneity among nomograms and the critical lack of external validation studies that limit the applicability of nomograms in clinical practice. Further studies, ideally using commonly adopted risk factors as backbone to develop nomograms are required.

Izvorni jezik
Engleski

Znanstvena područja
Kliničke medicinske znanosti

POVEZANOST RADA