Aesthetic Specialization: A Comparative Study Across Medical and Surgical Specialties.

BACKGROUND: Post-residency fellowship training has become increasingly popular as a career option. Specifically, the subspecialty of aesthetic surgery has grown tremendously over the past two decades within several fields, including plastic and reconstructive surgery (PRS), otolaryngology, dermatology, and ophthalmology. However, the popularity of aesthetic specialization through fellowship remains unknown. The present study aims to analyze trends in aesthetic specialization across these specialties and compare its popularity to other fellowships. METHODS: A retrospective review of data from the San Francisco Match, National Resident Matching Program, American Society for Dermatologic Surgery, and the Accreditation Council for Graduate Medical Education was performed. Data on graduating residents and applicants to fellowship were collected. ANOVA and t-tests were used to compare differences between groups. RESULTS: Significant disparities were observed in applicants and matched applicants to aesthetic fellowships among the four residencies (p<0.001). Aesthetic fellowship was the most popular option after otolaryngology residency (12.5%-27% depending on the year) and second most popular choice after PRS (8%-17%) and dermatology (2%-5%). A comparison between PRS and otolaryngology demonstrated a significantly higher percent of the latter choosing aesthetic fellowship over time (p<0.001). However, no significant difference in applicants to aesthetic fellowship was found between dermatology and ophthalmology (t-test, p=0.060). CONCLUSIONS: The number of applicants to aesthetic fellowship has increased over time across all eligible residencies with the more surgical heavy specialties (ENT and PRS) having the highest percent of applicants. Differences in aesthetic training between fields was also observed, which may reflect underlying variations in training and residency exposure.

The Statistical Fragility of Outcomes on Breast Reconstruction with Acellular Dermal Matrix: A Systematic Review of Randomized Controlled Trials.

INTRODUCTION: Acellular dermal matrix (ADM) is pivotal in breast surgery, yet the statistical robustness of surgical outcomes remains underexplored. This study employs the fragility index (FI), reverse fragility index (rFI), and fragility quotient (FQ) to investigate the statistical fragility of ADM breast reconstruction outcomes. METHODS: Randomized controlled trials (RCTs) (2013-present) with dichotomous outcomes were sourced from PubMed, Embase, SCOPUS, Medline, and Cochrane databases. FI and rFI-event reversals needed to alter outcome significance-and FQ-standardized fragility across trials-were computed and reported as median (IQR). Subgroup analysis focused on intervention types. RESULTS: Out of 33 studies screened, 19 RCTs comprising 204 outcomes were included, with a median FI of 4 (3 - 5) and FQ of 0.039 (0.029 - 0.070). Twenty-six outcomes achieved statistical significance, with a median FI of 3.5 (1 - 5) and FQ of 0.033 (0.010 - 0.073). The remaining 178 outcomes were nonsignificant, exhibiting a median FI of 4 (3 - 5) and FQ of 0.040 (0.030 - 0.070). Of the 204 outcomes, 18% had a number of patients lost to follow up equal to or surpassing the FI. By intervention type, the median FIs were similar in value but remained low. CONCLUSION: ADM-related breast reconstruction outcomes are statistically fragile, so reversal of a few outcomes or maintaining follow-up with patients may alter the significance of findings. Future researchers are thus recommended to report FI and FQ metrics with P-values to accurately portray reconstructive surgery outcomes.

The Fragility of Statistical Findings in the Femoral Neck Fracture Literature: A Systematic Review of Randomized Controlled Trials.

OBJECTIVES: Randomized controlled trials (RCTs) in the femoral neck fracture literature frequently report P -values for outcomes, which have substantial implications in guiding surgical management. This study used the fragility index (FI), reverse fragility index (rFI), and fragility quotient (FQ) to assess the statistical stability of outcomes reported in RCTs evaluating the management and treatment of femoral neck fractures. DESIGN: PubMed, Embase, and MEDLINE were queried for RCTs (January 1, 2010 to February 28, 2023). SETTING: RCTs that evaluated surgical management or treatment of femoral neck fractures were included. STUDY SELECTION CRITERIA: RCTs with 2 treatment arms reporting categorical dichotomous outcomes were included. Non-RCT studies, RCTs with greater than 2 treatment arms, and RCTs without a femoral neck fracture cohort were excluded. OUTCOME MEASURES AND COMPARISONS: The FI and rFI were calculated as the number of outcome event reversals required to alter statistical significance for significant ( P < 0.05) and nonsignificant ( P ≥ 0.05) outcomes, respectively. The FQ was calculated by dividing the FI by the sample size for the study. RESULTS: Nine hundred eighty-five articles were screened, with 71 studies included for analysis. The median FI across a total of 197 outcomes was 4 [interquartile range (IQR) 2-5] with an associated FQ of 0.033 (IQR 0.017-0.060). Forty-seven outcomes were statistically significant with a median FI of 2 (IQR 1-4) and associated FQ of 0.02 (IQR 0.014-0.043). One hundred fifty outcomes were statistically nonsignificant with a median rFI of 4 (IQR 3-5) and associated FQ of 0.037 (IQR 0.019-0.065). CONCLUSIONS: Statistical findings in femoral neck fracture RCTs are fragile, with reversal of a median 4 outcomes altering significance of study findings. The authors thus recommend standardized reporting of P -values with FI and FQ metrics to aid in interpreting the robustness of outcomes in femoral neck fracture RCTs. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Statistical fragility of outcomes in acellular dermal matrix literature: A systematic review of randomized controlled trials.

BACKGROUND: Acellular dermal matrix (ADM) is commonly used in plastic and reconstructive surgery. With the abundance of randomized controlled trials (RCTs) reporting P-values for ADM outcomes, this study used the fragility index (FI), reverse fragility index (rFI), and fragility quotient (FQ) to evaluate the statistical stability of the outcomes in ADM RCTs. METHODS: PubMed, Embase, SCOPUS, Medline, and Cochrane databases were reviewed for ADM RCTs (2003-present) reporting a dichotomous, categorical outcome. FI and rFI (event reversals influencing outcome significance) and FQ (standardized fragility) were calculated and reported as median. Subgroup analysis was performed based on intervention types. RESULTS: Among the 127 studies screened, 56 RCTs with 579 outcomes were included. The median FI stood at 4 (3-5) and FQ was 0.04 (0.03-0.07). Only 101 outcomes were statistically significant with a median FI of 3 (1-6) and FQ of 0.04 (0.02-0.08). The nonsignificant outcomes had a median FI of 4 (3-5) and FQ of 0.04 (0.03-0.07). Notably, 26% of the outcomes had several patients lost to follow up equal to or surpassing the FI. Based on the intervention type, the median FIs showed minor fluctuations but remained low. CONCLUSIONS: Outcomes from ADM-related RCTs were statistically fragile. Slight outcome reversals or maintenance of patient follow-up can alter the significance of results. Therefore, future researchers are recommended to jointly report FI, FQ, and P-values to offer a comprehensive view of the robustness in ADM literature.

Outcomes After Implant-Based Breast Reconstruction Following the National Institution of a Ban on Bacitracin Irrigation.

BACKGROUND: The use of irrigation with bacitracin-containing solution is common among surgeons, as it was widely thought to have antibacterial properties and prevent postoperative infection. Current literature, however, suggests that antibiotic-containing irrigation confers little added benefit. On January 31, 2020, the Food and Drug Administration instituted a ban on bacitracin-containing irrigation for operative use. This study aimed to determine whether bacitracin has a beneficial effect on postoperative infection rates by analyzing infection rates before and after the Food and Drug Administration ban on bacitracin irrigation. METHODS: A single-institution retrospective chart review was conducted. Eligible patients underwent implant-based breast reconstruction after mastectomy from October 1, 2016, to July 31, 2022. Procedure date, reconstruction type, patient comorbidities, use of bacitracin irrigation, postoperative infection, and secondary outcomes were collected. Univariate and multivariable logistic regression analyses were performed. RESULTS: A total of 188 female patients were included in the study. Bacitracin use did not protect against infection in univariate or multivariable analysis. Age greater than 50 years was associated with an increased risk of postoperative infection ( P = 0.0366). The presence of comorbidities, smoker status, neoadjuvant therapy treatment before surgery, implant placement, and laterality were all not significantly associated with postoperative infection development. CONCLUSIONS: The results of this study demonstrate a lack of association between bacitracin use and postoperative infection. Additional research into the optimal antibiotic for perioperative irrigation is needed, as bacitracin is not encouraged for use.

3D Bioprinting for Vascularization.

In the world of clinic treatments, 3D-printed tissue constructs have emerged as a less invasive treatment method for various ailments. Printing processes, scaffold and scaffold free materials, cells used, and imaging for analysis are all factors that must be observed in order to develop successful 3D tissue constructs for clinical applications. However, current research in 3D bioprinting model development lacks diverse methods of successful vascularization as a result of issues with scaling, size, and variations in printing method. This study analyzes the methods of printing, bioinks used, and analysis techniques in 3D bioprinting for vascularization. These methods are discussed and evaluated to determine the most optimal strategies of 3D bioprinting for successful vascularization. Integrating stem and endothelial cells in prints, selecting the type of bioink according to its physical properties, and choosing a printing method according to physical properties of the desired printed tissue are steps that will aid in the successful development of a bioprinted tissue and its vascularization.