Background The present systematic review and meta-analysis investigated the available evidence about the adher‑ence of Candida Albicans to the digitally-fabricated acrylic resins (both milled and 3D-printed) compared to the con‑ ventional heat-polymerized acrylic resins. Methods This study followed the guidelines of the Preferred Reporting Items for Systematic Review and Metaanalyses (PRISMA). A comprehensive search of online databases/search tools (Web of Science, Scopus, PubMed, Ovid, and Google Scholar) was conducted for all relevant studies published up until May 29, 2023. Only in-vitro studies comparing the adherence of Candida albicans to the digital and conventional acrylic resins were included. The quanti‑tative analyses were performed using RevMan v5.3 software. Results Fourteen studies were included, 11 of which were meta-analyzed based on Colony Forming Unit (CFU) and Optical Density (OD) outcome measures. The pooled data revealed signifcantly lower candida coloniza‑tion on the milled digitally-fabricated compared to the heat-polymerized conventionally-fabricated acrylic resin materials (MD=−0.36; 95%CI=−0.69, −0.03; P=0.03 and MD=−0.04; 95%CI=−0.06, −0.01; P=0.0008; as meas‑ ured by CFU and OD respectively). However, no diferences were found in the adhesion of Candida albicans between the 3D-printed digitally-fabricated compared to the heat-polymerized conventionally-fabricated acrylic resin materials (CFU: P=0.11, and OD: P=0.20). Conclusion The available evidence suggests that candida is less likely to adhere to the milled digitally-fabricated acrylic resins compared to the conventional ones

This study aimed to provide a comprehensive review of various recent methods that can be used to assess the fit and accuracy of additive-manufactured removable partial dentures (RPDs), focusing on 3D-printed RPDs. An electronic search of the English language literature from January 2000 to February 2022 was performed using four databases: Medline/PubMed, Scopus, Web of Science, and EBSCOhost, using relevant keywords. The parameters of interest were extracted and tabulated. Of 936 retrieved studies, 26 studies were included. Most of the studies were laboratory studies, conducted between 2011 and 2022, did not include control group, used stone cast model as reference, used direct 3D printing method, and polished the final RPD framework. Methods of assessment can be divided into two categories: 1) qualitative assessment which is based mainly on visual inspection or tactile sense, and 2) quantitative assessment which includes optical assessment (with or without a registration material) and computerized assessment based on surface-matching software programs. In conclusion, computerized assessment using different surface matching software provides more accurate and precise quantitative assessment of denture fit and allows researcher and practitioner to detect minute dimensional changes that cannot be detected visually.