Is serum C-terminal telopeptide cross-link of type 1 collagen a reliable parameter for predicting the risk of medication-related osteonecrosis of the jaws? A systematic review and meta-analysis of diagnostic test accuracy

Autor: Bassel Traboulsi-Garet, Adrià Jorba-García, Octavi Camps-Font, Fabio Abreu Alves, Rui Figueiredo, Eduard Valmaseda-Castellón
Rok vydání: 2022
Předmět:
Zdroj: Clinical Oral Investigations. 26:2371-2382
ISSN: 1436-3771
1432-6981
Popis: To determine the usefulness of Serum C-terminal telopeptide cross-link of type 1 collagen (sCTX) as a preoperative marker for predicting the risk of developing medication-related osteonecrosis of the jaws (MRONJ) after invasive oral surgery in patients on antiresorptive medication.Two authors independently searched four electronic databases up to March 25, 2021, for case-control studies and prospective and retrospective cohort studies that assessed preoperative sCTX levels in patients taking antiresorptive medication who underwent oral surgery procedures. The main outcome was the number of MRONJ cases in patients with an sCTX value lower and higher than 150 pg/mL. Qualitative and quantitative data was extracted in tables and the risk of bias was assessed using the QUADAS-2 tool. Estimates of diagnostic accuracy were expressed as sensitivity, specificity, negative and positive likelihood ratio (LR - and LR +), and diagnostic odds ratio (DOR), with a 95% confidence interval (95%CI). The data were combined using random-effects models based on the inverse variance method.Seven studies were included in the meta-analysis. The results were as follows: sensitivity 57% (95%CI: 41-71%), specificity 72% (95%CI: 64-79%), LR + 2 (95%CI: 1.3-3.1), LR - 0.6 (95%CI: 0.4-0.9), and DOR 3.4 (95%CI: 1.5-7.7).The low overall performance of sCTX indicates that this parameter is not suitable for predicting MRONJ risk in patients on antiresorptive medication who need an oral surgery procedure.sCTX should not be considered a reliable preoperative marker to predict MRONJ development.
Databáze: OpenAIRE
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