GOLDIC Therapy Holds Promise as an Orthobiologic Agent: A Systematic Review of the Literature.

Introduction: Orthobiologic agents play a significant role in regenerative medicine. The quest for newer and more effective Orthobiologic agents is never-ending, leading to the evolution of more reformed products. GOLDIC (GOLD Induced cytokine) is a recently evolving Orthobiologic agent developed by conditioning autologous serum with gold particles. We aim to collate the available evidence on GOLDIC and provide a systematic literature review. Materials and methods: Using Cochrane and PRISMA guidelines literature search was done for GOLDIC. After duplicate removal and exclusions, 62 articles were scrutinized, of which 8 articles qualified for full-text review. A risk-of-bias assessment of the included studies was done. Results: All articles showed standardized preparation methods of GOLDIC and uniformity in the number of doses administered, except one study. Reproducible results were noted like an increase in plasma gelsolin and improved KOOS, WOMAC, and VAS scores. Conclusion: GOLDIC has the potential to be a significant Orthobiologic modality considering its standardized preparation techniques, method of administration, and uniformly reproducible outcome measures. However, further high-quality evidence is needed to analyze the clinical efficiency and safety profile of GOLDIC. Systematic review registration: INPLASY202350027 [https://doi.org/10.37766/inplasy2023.5.0027].

CR-Possum-Can It Be Used to Predict Morbidity? A Single-Centre Retrospective Study.

Preoperative prediction of morbidity in colorectal cancer (CRC) surgery helps to optimize the surgical outcome. In this study, we aim to develop a dedicated equation for predicting operative morbidity using colorectal possum scoring system and also to validate the predictive accuracy of CR-POSSUM scoring system in prognosticating actual complications. We did a retrospective analysis of 322 patients undergoing colorectal cancer surgery from a single centre in South India from 2004 to 2016. Mortality and morbidity risk factors as defined by CR POSSUM were collected from 322 patients who underwent CRC surgery and were used to derive equations to predict morbidity, and the results were compared with the observed morbidity. Logistic regression analysis was used to derive the equation. The model fit and model discrimination were analysed using the Hosmer-Lemeshow statistical test for goodness of fit, the Nagelkerke R 2 and area under the receiver operating characteristic (ROC) curve respectively. Out of 322 patients, 103 (32%) patients developed complications and 10 (3%) died due to complications. The regression equation we derived has an overall correct classification of about 70% (P < 0.01) with positive and negative predictive value of 60% and 73% respectively. The Hosmer-Lemeshow goodness of fit was 3.147 (P = 0.829), and the Nagelkerke R 2 was 17% and area under ROC as model discrimination was 71.6%. Hence, CR-POSSUM scoring which was originally used for predicting mortality risk can also be extrapolated to predict morbidity.