Ocular manifestations of obstructive sleep apnea: a systematic review and meta-analysis.

BACKGROUND: The association of obstructive sleep apnea (OSA) with development of eye diseases is unclear. This current systematic review and meta-analysis attempts to summarize and analyze associations between OSA and ocular disorders in the literature. METHODS: PubMed, EMBASE, Google Scholar, Web Of Science, and Scopus databases were searched from 1901 to July 2022 in accordance with the Preferred Reporting in Systematic Review & Meta-Analysis (PRISMA). Our primary outcome assessed the association between OSA and the odds of developing floppy eyelid syndrome (FES), glaucoma, non-arteritic anterior ischemic optic neuropathy (NAION), retinal vein occlusion (RVO), keratoconus (KC), idiopathic intracranial hypertension (IIH), age-related macular degeneration (AMD), and central serous chorioretinopathy (CSR) through odds ratio calculated at the 95% confidence interval. RESULTS: Forty-nine studies were included for systematic review and meta-analysis. The pooled OR estimate was highest for NAION [3.98 (95% CI 2.38, 6.66)], followed by FES [3.68 (95% CI 2.18, 6.20)], RVO [2.71(95% CI 1.83, 4.00)], CSR [2.28 (95% CI 0.65, 7.97)], KC [1.87 (95% CI 1.16, 2.99)], glaucoma [1.49 (95% CI 1.16, 1.91)], IIH [1.29 (95% CI 0.33, 5.01)], and AMD [0.92 [95% CI 0.24, 3.58] All observed associations were significant (p < 0.001) aside from IIH and AMD. CONCLUSION: OSA is significantly associated with NAION, FES, RVO, CSR, KC, and glaucoma. Clinicians should be informed of these associations so early recognition, diagnosis, and treatment of eye disorders can be addressed in at-risk groups, and early referral to ophthalmic services is made to prevent vision disturbances. Similarly, ophthalmologists seeing patients with any of these conditions should consider screening and referring patients for assessment of possible OSA.

The Effect of Drains and Compressive Garments Versus Progressive Tensioning Sutures on Seroma Formation in Abdominoplasty: A New Perspective for Abdominoplasty Procedure?

Authors comment on the paper "The effect of drains and compressive garments versus progressive tensioning sutures on seroma formation in abdominoplasty" written by Brown et al in Aesthetic Plastic Surgery.Although the authors present interesting results on the effectiveness of progressive tensioning sutures proposed originally by Pollok and Pollok, we express some considerations about the analyzed data and patients, hoping in a new research extending these findings to include both aesthetic and post-bariatric abdominoplasty patients, evaluating the effectiveness of these sutures in varied contexts.Level of Evidence V This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine Ratings, please refer to Table of Contents or online Instructions to Authors www.springer.com/00266 .

Exploring the Unknown: Evaluating ChatGPT's Performance in Uncovering Novel Aspects of Plastic Surgery and Identifying Areas for Future Innovation.

BACKGROUND: Artificial intelligence (AI) has emerged as a powerful tool in various medical fields, including plastic surgery. This study aims to evaluate the performance of ChatGPT, an AI language model, in elucidating historical aspects of plastic surgery and identifying potential avenues for innovation. METHODS: A comprehensive analysis of ChatGPT's responses to a diverse range of plastic surgery-related inquiries was performed. The quality of the AI-generated responses was assessed based on their relevance, accuracy, and novelty. Additionally, the study examined the AI's ability to recognize gaps in existing knowledge and propose innovative solutions. ChatGPT's responses were analysed by specialist plastic surgeons with extensive research experience, and quantitatively analysed with a Likert scale. RESULTS: ChatGPT demonstrated a high degree of proficiency in addressing a wide array of plastic surgery-related topics. The AI-generated responses were found to be relevant and accurate in most cases. However, it demonstrated convergent thinking and failed to generate genuinely novel ideas to revolutionize plastic surgery. Instead, it suggested currently popular trends that demonstrate great potential for further advancements. Some of the references presented were also erroneous as they cannot be validated against the existing literature. CONCLUSION: Although ChatGPT requires major improvements, this study highlights its potential as an effective tool for uncovering novel aspects of plastic surgery and identifying areas for future innovation. By leveraging the capabilities of AI language models, plastic surgeons may drive advancements in the field. Further studies are needed to cautiously explore the integration of AI-driven insights into clinical practice and to evaluate their impact on patient outcomes. LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

The Preservation of Umbilical Blood Supply in Combined Ventral Hernia Repair and Abdominoplasty: A Narrative Review.

INTRODUCTION: Combined ventral hernia repair and abdominoplasty treat risk factors such as high body mass index and weak abdominal musculature, providing excellent intraoperative exposure and improved patient outcomes. Unfortunately, a combination of traditional procedures is unfeasible as the umbilical blood supply would be compromised, leading to increased umbilical necrosis risk. This narrative review aimed to identify new techniques and solidify evidence in preserving umbilical blood supply and associated level of evidence. METHODS: Two authors conducted a thorough literature search on PubMed, Scopus and Cochrane CENTRAL databases from January 1901 to July 2023, adhering to the methodologies of the preferred reporting items for systematic reviews and meta-analyses. Studies were reviewed for their surgical technique and quality of evidence. The primary outcomes of interest consisted of umbilical complications of this combined procedure. RESULTS: Six techniques were identified that included laparoscopic, pre-rectus, unilateral, distal bilateral, proximal bilateral, and inferior midline approaches. All techniques demonstrated as viable options in preserving umbilical blood supply as reported complications were few, minor, and compounded by risk factors. However, all included techniques were limited to low-to-moderate-quality evidence. CONCLUSION: Despite the lack of high-quality evidence, all techniques remain viable options for combined ventral hernia repair and abdominoplasty. Large-scale high-quality RCTs are required to compare the effectiveness of various approaches with additional outcomes of hernia recurrence rates, intraoperative time, and patient- and surgeon-reported satisfaction. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Can AI Answer My Questions? Utilizing Artificial Intelligence in the Perioperative Assessment for Abdominoplasty Patients.

BACKGROUND: Abdominoplasty is a common operation, used for a range of cosmetic and functional issues, often in the context of divarication of recti, significant weight loss, and after pregnancy. Despite this, patient-surgeon communication gaps can hinder informed decision-making. The integration of large language models (LLMs) in healthcare offers potential for enhancing patient information. This study evaluated the feasibility of using LLMs for answering perioperative queries. METHODS: This study assessed the efficacy of four leading LLMs-OpenAI's ChatGPT-3.5, Anthropic's Claude, Google's Gemini, and Bing's CoPilot-using fifteen unique prompts. All outputs were evaluated using the Flesch-Kincaid, Flesch Reading Ease score, and Coleman-Liau index for readability assessment. The DISCERN score and a Likert scale were utilized to evaluate quality. Scores were assigned by two plastic surgical residents and then reviewed and discussed until a consensus was reached by five plastic surgeon specialists. RESULTS: ChatGPT-3.5 required the highest level for comprehension, followed by Gemini, Claude, then CoPilot. Claude provided the most appropriate and actionable advice. In terms of patient-friendliness, CoPilot outperformed the rest, enhancing engagement and information comprehensiveness. ChatGPT-3.5 and Gemini offered adequate, though unremarkable, advice, employing more professional language. CoPilot uniquely included visual aids and was the only model to use hyperlinks, although they were not very helpful and acceptable, and it faced limitations in responding to certain queries. CONCLUSION: ChatGPT-3.5, Gemini, Claude, and Bing's CoPilot showcased differences in readability and reliability. LLMs offer unique advantages for patient care but require careful selection. Future research should integrate LLM strengths and address weaknesses for optimal patient education. LEVEL OF EVIDENCE V: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Delving into New Frontiers: assessing ChatGPT's proficiency in revealing uncharted dimensions of general surgery and pinpointing innovations for future advancements.

PURPOSE: The advent of artificial intelligence (AI) has significantly influenced various medical domains, including general surgery. This research aims to assess ChatGPT, an AI language model, in its ability to shed light on the historical facets of general surgery and pinpoint opportunities for innovation. METHODS: A series of 7 pertinent questions on field of general surgery was posed to ChatGPT. The AI-generated responses were meticulously examined for their relevance, accuracy, and novelty. Additionally, the study explored the AI's ability to recognize knowledge gaps and propose inventive solutions. Expert general surgeons and general surgical residents possessing comprehensive research experience assessed ChatGPT's answers by comparing them to established guidelines and existing literature. RESULTS: ChatGPT presented information that was relevant and accurate, albeit superficial. However, it exhibited convergent thinking and was unable to produce truly groundbreaking ideas to transform general surgery. Instead, it pointed to current popular trends with significant potential for further development. It failed to provide references when prompted and even created references that could not be verified in exhibiting databases. CONCLUSION: While ChatGPT demonstrated a comprehensive understanding of existing general surgical knowledge and the capacity to generate relevant, evidence-based material, it displayed limitations in producing truly groundbreaking concepts or discoveries beyond current knowledge. These results highlight the necessity of enhancing AI-driven models to facilitate the emergence of new insights and promote synergistic, human-AI partnerships for expediting advancements within the general surgery domain.

The association between keratoconus and allergic eye diseases: A systematic review and meta-analysis.

BACKGROUND: To investigate the association between keratoconus (KC) and allergic eye diseases, eye rubbing, and atopy. METHODS: PubMed, Web of Science, Scopus, and Cochrane databases were searched for studies investigating eye allergy, atopy, and eye rubbing as risk factors for KC up to April 2021. Two authors independently screened all titles and abstracts against the predefined inclusion and exclusion criteria. The study analysed the prevalence of KC and its risk factors, including eye rubbing, family history of KC, atopy, and allergic eye diseases. The National Institutes of Health Study Quality Assessment Tool was used. Pooled data are presented as odds ratios (OR) and 95% confidence intervals (CI). The analysis was conducted using RevMan version 5.4 software. RESULTS: The initial search yielded 573 articles. After screening, 21 studies were identified for qualitative analysis and 15 for quantitative synthesis. A significant association was found between KC and eye rubbing (OR = 5.22, 95% CI [2.80, 9.75], p < 0.00001), family history of KC (OR = 6.67, 95% CI [4.77, 9.33], p < 0.00001), and allergies (OR = 2.21, 95% CI [1.57, 3.13], p < 0.00001). However, no significant association was found between KC and allergic eye disease (OR = 1.82, 95% CI [0.37, 8.97], p = 0.46), atopy (OR = 1.54, 95% CI [0.58, 4.09], p = 0.39), allergic rhinitis (OR = 0.85, 95% CI [0.54, 1.33], p = 0.47), smoking (OR = 0.96, 95% CI [0.76, 1.21], p = 0.73), and asthma (OR = 1.58, 95% CI [0.99, 2.53], p = 0.05). CONCLUSION: Significant associations were observed between KC and eye rubbing, family history, and allergy, but not with allergic eye disease, atopy, asthma, and allergic rhinitis.

Prevalence of Obstructive Sleep Apnea With Floppy Eyelid Syndrome: A Systematic Review and Meta-analysis.

PURPOSE: This study investigated the prevalence of obstructive sleep apnea (OSA) in floppy eyelid syndrome (FES) patients and evaluated the severity of OSA with FES prevalence. METHODS: Cochrane CENTRAL, Medline, Science Direct, Google Scholar, and PubMed databases were searched for studies on FES patients and its association with OSA syndrome, of any design, published from January 1, 1997, to January 1, 2022. A random-effects model that weighted the studies was used when there was heterogeneity between studies ( p < 0.10) and if I 2 values were more than 50%. All p values were 2-tailed and considered statistically significant if <0.05. RESULTS: A total of 12 studies comprising 511 patients were included in this meta-analysis. Of these, 368 were male (77.6%) and the average age was 55.10 years. The overall prevalence of OSA in FES patients was 57.1% (95% CI: 46.5-74.8%), M:F ratio was 48:1 (98% male), and 69.1% of patients received their OSA diagnosis at the time of the study. Of those with FES, tear film abnormalities were the most common ocular comorbidity (78.9%) followed by keratoconus (20.6%), glaucoma (9.8%), and lower eyelid ectropion (4.6%). Obesity was the most common systemic morbidity (43.7%) followed by hypertension (34.0%) and diabetes mellitus (17.9%). CONCLUSION: This meta-analysis demonstrates OSA is a common comorbidity in the FES population. Ophthalmologists are often the first to evaluate patients with FES, and considering this coincidence, routine screens for sleep apnea symptoms in at-risk FES patients should be undertaken. Large case-control studies are required to better elucidate the exact prevalence of OSA and other morbidities in patients with FES, and to better understand the etiology of FES.

Exploring the Role of a Large Language Model on Carpal Tunnel Syndrome Management: An Observation Study of ChatGPT.

PURPOSE: Recently, large language models, such as ChatGPT, have emerged as promising tools to facilitate scientific research and health care management. The present study aimed to explore the extent of knowledge possessed by ChatGPT concerning carpal tunnel syndrome (CTS), a compressive neuropathy that may lead to impaired hand function and that is frequently encountered in the field of hand surgery. METHODS: Six questions pertaining to diagnosis and management of CTS were posed to ChatGPT. The responses were subsequently analyzed and evaluated based on their accuracy, coherence, and comprehensiveness. In addition, ChatGPT was requested to provide five high-level evidence references in support of its answers. A simulated doctor-patient consultation was also conducted to assess whether ChatGPT could offer safe medical advice. RESULTS: ChatGPT supplied clinically relevant information regarding CTS, although at a relatively superficial level. In the context of doctor-patient interaction, ChatGPT suggested a diagnostic pathway that deviated from the widely accepted clinical consensus on CTS diagnosis. Nevertheless, it incorporated differential diagnoses and valuable management options for CTS. Although ChatGPT demonstrated the ability to retain and recall information from previous patient conversations, it infrequently produced pertinent references, many of which were either nonexistent or incorrect. CONCLUSIONS: ChatGPT displayed the capability to deliver validated medical information on CTS to nonmedical individuals. However, the generation of nonexistent and inaccurate references by ChatGPT presents a challenge to academic integrity. CLINICAL RELEVANCE: To increase their utility in medicine and academia, large language models must go through specialized reputable data set training and validation from experts. It is essential to note that at present, large language models cannot replace the expertise of health care professionals and may act as a supportive tool.

Evaluation of the Artificial Intelligence Chatbot on Breast Reconstruction and Its Efficacy in Surgical Research: A Case Study.

BACKGROUND: ChatGPT is an open-source artificial intelligence (AI) chatbot that uses deep learning to produce human-like text dialog. Its potential applications in the scientific community are vast; however, its efficacy on performing comprehensive literature searches, data analysis and report writing in aesthetic plastic surgery topics remains unknown. This study aims to evaluate both the accuracy and comprehensiveness of ChatGPT's responses to assess its suitability for use in aesthetic plastic surgery research. METHODS: Six questions were prompted to ChatGPT on post-mastectomy breast reconstruction. First two questions focused on the current evidence and options for breast reconstruction post-mastectomy, and remaining four questions focused specifically on autologous breast reconstruction. Using the Likert framework, the responses provided by ChatGPT were qualitatively assessed for accuracy and information content by two specialist plastic surgeons with extensive experience in the field. RESULTS: ChatGPT provided relevant, accurate information; however, it lacked depth. It could provide no more than a superficial overview in response to more esoteric questions and generated incorrect references. It created non-existent references, cited wrong journal and date, which poses a significant challenge in maintaining academic integrity and caution of its use in academia. CONCLUSION: While ChatGPT demonstrated proficiency in summarizing existing knowledge, it created fictitious references which poses a significant concern of its use in academia and healthcare. Caution should be exercised in interpreting its responses in the aesthetic plastic surgical field and should only be used for such with sufficient oversight. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Aesthetic Surgery Advice and Counseling from Artificial Intelligence: A Rhinoplasty Consultation with ChatGPT.

BACKGROUND: ChatGPT is an open-source artificial large language model that uses deep learning to produce human-like text dialogue. This observational study evaluated the ability of ChatGPT to provide informative and accurate responses to a set of hypothetical questions designed to simulate an initial consultation about rhinoplasty. METHODS: Nine questions were prompted to ChatGPT on rhinoplasty. The questions were sourced from a checklist published by the American Society of Plastic Surgeons, and the responses were assessed for accessibility, informativeness, and accuracy by Specialist Plastic Surgeons with extensive experience in rhinoplasty. RESULTS: ChatGPT was able to provide coherent and easily comprehensible answers to the questions posed, demonstrating its understanding of natural language in a health-specific context. The responses emphasized the importance of an individualized approach, particularly in aesthetic plastic surgery. However, the study also highlighted ChatGPT's limitations in providing more detailed or personalized advice. CONCLUSION: Overall, the results suggest that ChatGPT has the potential to provide valuable information to patients in a medical context, particularly in situations where patients may be hesitant to seek advice from medical professionals or where access to medical advice is limited. However, further research is needed to determine the scope and limitations of AI language models in this domain and to assess the potential benefits and risks associated with their use. LEVEL OF EVIDENCE V: Observational study under respected authorities. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Evaluating Chatbot Efficacy for Answering Frequently Asked Questions in Plastic Surgery: A ChatGPT Case Study Focused on Breast Augmentation.

BACKGROUND: The integration of artificial intelligence (AI) and machine learning (ML) technologies into healthcare is transforming patient-practitioner interaction and could offer an additional platform for patient education and support. OBJECTIVES: This study investigated whether ChatGPT-4 could provide safe and up-to-date medical information about breast augmentation that is comparable to other patient information sources. METHODS: ChatGPT-4 was asked to generate 6 commonly asked questions regarding breast augmentation and respond to them. Its responses were qualitatively evaluated by a panel of specialist plastic and reconstructive surgeons and reconciled with a literature search of 2 large medical databases for accuracy, informativeness, and accessibility. RESULTS: ChatGPT-4 provided well-structured, grammatically accurate, and comprehensive responses to the questions posed; however, it was limited in providing personalized advice and sometimes generated inappropriate or outdated references. ChatGPT consistently encouraged engagement with a specialist for specific information. CONCLUSIONS: Although ChatGPT-4 showed promise as an adjunct tool in patient education regarding breast augmentation, there are areas requiring improvement. Additional advancements and software engineering are needed to enhance the reliability and applicability of AI-driven chatbots in patient education and support systems.

18 F-FDG PET and PET/CT as a diagnostic method for Ewing sarcoma: A systematic review and meta-analysis.

PURPOSE: The aim of this study was to evaluate the diagnostic accuracy of 18 -fluorodeoxyglucose-positron emission tomography (18 F-FDG PET) and PET/computed tomography (PET/CT) in imaging primary and metastatic lesions in Ewing sarcoma (ES). METHODS: PubMed, Cochrane, Scopus, and Web of Science were searched for relevant studies. Data concerning 18 F-FDG PET/CT diagnostic accuracy were extracted and then analyzed using Open Meta-analyst software. Reported diagnostic accuracy outcomes included sensitivity, specificity, negative likelihood ratio (NLR), positive likelihood ratio (PLR), and diagnostic odds ratio. RESULTS: Thirty-one studies with a total of 735 patients were included in this meta-analysis. The sensitivity and specificity of 18 F-FDG PET/CT were: 92.6% and 74.1% for total ES lesions, 96.7% and 68.3% for ES primary lesions, 76.1% and 92.4% for lung metastasis, 83.9% and 93.2% for bone metastasis, and 89.9% and 92.6% for ES recurrence, respectively. CONCLUSION: 18 F-FDG PET/CT is sensitive and accurate in diagnosing, staging, and detecting the recurrence of ES compared with non-PET imaging. It has high accuracy for diagnosing recurrence of ES in bone metastases; however, CT remains a superior diagnostic method for detecting lung metastasis.

The association between keratoconus and allergic eye diseases: A systematic review and meta-analysis.

BACKGROUND: To investigate association between keratoconus and allergic eye diseases, eye rubbing, and atopy. METHODS: PubMed, Web of Science, Scopus, and Cochrane were searched for relevant published studies from inception to April 2021 without restrictions or filters. We included case-control, cohort, and cross-sectional studies that investigated eye allergy, atopy, or eye rubbing as possible risk factors for KC. Two authors independently screened all titles and abstracts against predefined inclusion and exclusion criteria. This study analysed keratoconus prevalence and risk factors including eye rubbing, family history of keratoconus, atopy, and allergic eye diseases. The National Institute of Health Study Quality Assessment tool was utilised. Pooled data were presented as odds ratio (OR) and 95% confidence intervals (CI). Analysis was conducted using RevMan version 5.3 software. RESULTS: Out of 573 articles, we excluded 161 duplicates than 361 articles by title and abstract screening. The remaining 51 articles underwent full-text screening, and 29 articles were excluded. Twenty-one studies were included in the qualitative synthesis and fifteen for quantitative synthesis. There was no significant association found between KC and allergic eye diseases (OR = 1.03, 95% CI [0.96, 1.11], p = 0.45), eye rubbing (OR = 1.59, 95% CI [0.70, 3.63], p = 0.27), or atopy (OR = 1.08, 95% CI [0.80, 1.44], p = 0.62). CONCLUSION: No significant association was observed between KC and allergic eye disease, eye rubbing, or atopy. Further prospective studies are needed to clarify and validate these findings.

Effect of Perioperative Vitamin C on the Incidence of Complex Regional Pain Syndrome: A Systematic Review and Meta-Analysis.

Complex regional pain syndrome type 1 (CRPS-I) is a complex complication that occurs after limb extremity surgeries. Controversy exists regarding the effectiveness of vitamin C in reducing that condition. Therefore, we conducted this systematic review and meta-analysis to assess the role of vitamin C on CRPS-I and functional outcomes after distal radius, wrist, foot, and ankle surgeries. We searched Medline (via PubMed), Embase, the Cochrane Library, Clinicaltrial.gov, and Google Scholar for relevant studies comparing perioperative vitamin C versus placebo after distal radius, wrist, foot, and ankle surgeries from infinity to May 2021. Continuous data such as functional outcomes and pain scores were pooled as mean differences, while dichotomous variables such as the incidence of complex regional pain syndrome and complications were pooled as odds ratios, with 95% confidence interval, using R software (meta package, version 4.9-0) for Windows. Eight studies were included. The timeframe for vitamin C administration in each study ranged from 42 to 50 days postinjury and/or surgical fixation. The effect size showed that vitamin C was associated with a decreased rate of CRPS-1 than placebo (odds ratio 0.33, 95% confidence interval [0.17, 0.63]). No significant difference was found between vitamin C and placebo in terms of complications (odds ratio 1.90, 95% confidence interval [0.99, 3.65]), functional outcomes (mean difference 6.37, 95% confidence interval [-1.40, 14.15]), and pain scores (mean difference -0.14, 95% confidence interval [-1.07, 0.79]). Overall, vitamin C was associated with a decreased rate of CRPS-I than placebo, while no significant difference was found regarding complications, functional outcomes, and pain scores. These results hold true when stratifying fracture type (distal radius, ankle, and foot surgeries) and vitamin C dose (500 mg or 1 g).