Natural language processing to automate a web-based model of care and modernize skin cancer multidisciplinary team meetings.

BACKGROUND: Cancer multidisciplinary team (MDT) meetings are under intense pressure to reform given the rapidly rising incidence of cancer and national mandates for protocolized streaming of cases. The aim of this study was to validate a natural language processing (NLP)-based web platform to automate evidence-based MDT decisions for skin cancer with basal cell carcinoma as a use case. METHODS: A novel and validated NLP information extraction model was used to extract perioperative tumour and surgical factors from histopathology reports. A web application with a bespoke application programming interface used data from this model to provide an automated clinical decision support system, mapped to national guidelines and generating a patient letter to communicate ongoing management. Performance was assessed against retrospectively derived recommendations by two independent and blinded expert clinicians. RESULTS: There were 893 patients (1045 lesions) used to internally validate the model. High accuracy was observed when compared against human predictions, with an overall value of 0.92. Across all classifiers the virtual skin MDT was highly specific (0.96), while sensitivity was lower (0.72). CONCLUSION: This study demonstrates the feasibility of a fully automated, virtual, web-based service model to host the skin MDT with good system performance. This platform could be used to support clinical decision-making during MDTs as 'human in the loop' approach to aid protocolized streaming. Future prospective studies are needed to validate the model in tumour types where guidelines are more complex.

Service implications of the revised 2022 National Institute for Health and Care Excellence (NICE) follow-up guidelines for stage IA-IIC melanoma.

BACKGROUND: The 2022 National Institute for Health and Care Excellence melanoma guideline update made significant changes to follow-up. The aim of this study was to assess the impact these changes will have on a national melanoma cohort over a 5-year follow-up interval. METHODS: Anonymized, individual-level, population-scale, linkable primary and secondary care National Health Service data for an 18-year interval (2000-2018) in Wales, UK were analysed. These data were used to predict the number of patients over a 10-year interval (2020-2030) that would be diagnosed with melanoma. Follow-up schedules for the 2015 and 2022 National Institute for Health and Care Excellence melanoma guidelines were then used to calculate the number of clinician-led appointments, the number of radiological investigations, and the total healthcare cost between 2025 and 2030, corresponding to a 5-year patient follow-up interval, for those with stage IA-IIC melanoma. RESULTS: Between 2025 and 2030 it is predicted that implementation of the 2022 guidelines would lead to 21 122 (range 19 194-23 083) fewer clinician-led appointments for patients with stage IA-IIC melanoma. However, there would be a significant increase in the number of radiological investigations (7812; range 7444-8189). These changes would lead to a €2.74 million (€1.87 million-€3.61 million) reduction in the total cost of follow-up over the interval 2025-2030. CONCLUSION: Melanoma follow-up guideline changes will result in a substantial reduction in the number of clinical follow-up appointments, but a significant additional burden to radiological services. The overall cost of follow-up at a national level will be reduced.

Prevalence and odds of anxiety and depression in cutaneous malignant melanoma: a proportional meta-analysis and regression.

BACKGROUND: The psychological burden of cutaneous malignant melanoma (CM) is all-encompassing, affecting treatment adherence, recurrence and mortality. However, the prevalence and risk factors of anxiety and depression in CM remain unclear. OBJECTIVES: To establish a benchmark pooled prevalence of anxiety and depression in CM, to provide magnitudes of association for clinical, therapeutic and demographic correlates, and to elucidate temporal trends in anxiety and depression from the time of diagnosis. METHODS: This review followed the MOOSE guidelines. MEDLINE, Embase, PsychINFO, Web of Science and the Cochrane Library were queried from database inception to 24 August 2023. Study selection, data extraction and quality assessment were performed by two independent authors, utilizing both the Joanna Briggs Institute (JBI) and National Institutes of Health risk-of-bias tools for the latter. The GRADE approach was used to rate the certainty of evidence. Prevalence rates, 95% confidence intervals (CIs) and prediction intervals (PIs) were derived using a random-effects model and estimating between- and within-study variance. RESULTS: Nine longitudinal and 29 cross-sectional studies were included (7995 patients). Based on the JBI and NIH tools, respectively, quality assessment found 20 and 17 to be at low risk of bias, 12 and 15 to be at moderate risk and 6 and 5 to be at high risk of bias. The prevalence of anxiety [30.6% (95% CI 24.6-37.0; PI 18-47%)] and depression [18.4% (95% CI 13.4-23.9; PI 10-33%)] peaked during treatment, declining to pretreatment levels after 1 year [anxiety: 48% vs. 20% (P = 0.005); depression: 28% vs. 13% (P = 0.03)]. Female sex [odds ratio (OR) 1.8, 95% CI 1.4-2.3; P < 0.001], age < 60 years (OR 1.5, 95% CI 1.2-2.0; P = 0.002) and low educational level (OR 1.5, 95% CI 1.2-2.0; P < 0.001) were likely to result in a large increase in the odds of anxiety. Depression was 12.3% higher in those with stage IV vs. those with stage I CM (P = 0.05). Relative to immune checkpoint inhibition, the rates of depression were 22% (P = 0.002) and 34% (P < 0.001) higher among patients with advanced-stage CM receiving interferon-α and chemotherapy, respectively. A significant reduction in self-reported depression scores was demonstrated over time (P = 0.003). CONCLUSIONS: Notably, anxiety and depression in CM affect women, those younger than 60 years of age and the less educated, with up to 80% higher odds of anxiety in these groups. Anxiety and depression surge during chemotherapy and interferon treatment, especially in advanced CM. Our findings facilitate risk stratification and underscore the need for multidisciplinary vigilance.

Melanoma is a serious type of skin cancer that is becoming more prevalent, particularly in people with lighter skin. The UK-based ReconRegen research group conducted a study to understand the psychological impact of melanoma on people, focusing on anxiety and depression. To do this, a systematic review approach was used to analyse data from existing studies and gather a comprehensive perspective. The study discovered that 30% of people with melanoma are affected by anxiety and 18% by depression, significantly higher than the general population. Key risk factors for anxiety included being female, being younger than 60 years of age and having lower educational attainment. Women are 1.8 times more likely to experience anxiety than men, those under 60 years of age are 1.5 times more likely to experience it and individuals with lower educational levels are also 1.5 times more likely to experience anxiety. Findings showed that anxiety and depression levels peaked during treatment phases, especially in people undergoing chemotherapy and immunotherapy. This highlights the need for targeted mental health support during these treatment periods. The findings advocate for mental health considerations in melanoma care, suggesting regular mental health assessments, particularly for high-risk groups and during intense treatment phases. Highlighting the importance of a holistic treatment approach, the study suggests that future research should include long-term studies to understand the chronic impacts of anxiety and depression. Improved clarity and detail in research reporting are essential for developing effective mental health support for people with melanoma, enhancing overall patient care by addressing both physical and emotional health needs.

The "Flapbot": A Global Perspective on the Validity and Usability of a Flap Monitoring Chatbot.

BACKGROUND: The Flapbot chatbot assists in free-flap monitoring, emphasizing accessibility, user-friendliness, and global reliability. This study assesses Flapbot's worldwide validity and usability and uses qualitative analysis to identify areas for future enhancement. METHODS: Flapbot, built on Google's DialogFlow, was evaluated by international plastic surgeons. Invitations were sent to the International Lower Limb Reconstruction Collaborative (INTELLECT), International Confederation of Plastic Surgery Societies (ICOPLAST), and the International Microsurgery Club. Out of the 42 surgeons who agreed to participate, 21 tested the Flapbot and completed an online survey on its validity and usability. The survey had 13 validity items and 10 usability items. Data analysis involved computing the individual content validity index (I-CVI) and scale-wide content validity index (S-CVI) for validity, and the system usability score (SUS) for usability. Thematic analysis distilled free-text responses to identify key themes. RESULTS: Nine of 13 items had an I-CVI over 0.78, denoting significant relevance. The S-CVI score stood at 0.82, indicating high relevance. The SUS score was 68, representing average usability. Themes highlighted issues with the current model, development suggestions, and surgeons' concerns regarding growing reliance on digital tools in health care. CONCLUSION: Flapbot is a promising digital aid for free-flap monitoring. While it showcases notable validity and usability, improvements in functionality, usability, and accessibility are needed for broader global use.

The epidemiology, healthcare and societal burden of basal cell carcinoma in Wales 2000-2018: a retrospective nationwide analysis.

BACKGROUND: Basal cell carcinoma (BCC) represents the most commonly occurring cancer worldwide within the white population. Reports predict 298 308 cases of BCC in the UK by 2025, at a cost of £265-366 million to the National Health Service (NHS). Despite the morbidity, societal and healthcare pressures brought about by BCC, routinely collected healthcare data and global registration remain limited. OBJECTIVES: To calculate the incidence of BCC in Wales between 2000 and 2018 and to establish the related healthcare utilization and estimated cost of care. METHODS: The Secure Anonymised Information Linkage (SAIL) databank is one of the largest and most robust health and social care data repositories in the UK. Cancer registry data were linked to routinely collected healthcare databases between 2000 and 2018. Pathological data from Swansea Bay University Health Board (SBUHB) were used for internal validation. RESULTS: A total of 61 404 histologically proven BCCs were identified within the SAIL Databank during the study period. The European age-standardized incidence for BCC in 2018 was 224.6 per 100 000 person-years. Based on validated regional data, a 45% greater incidence was noted within SBUHB pathology vs. matched regions within SAIL between 2016 and 2018. A negative association between deprivation and incidence was noted with a higher incidence in the least socially deprived and rural dwellers. Approximately 2% travelled 25-50 miles for dermatological services compared with 37% for plastic surgery. Estimated NHS costs of surgically managed lesions for 2002-2019 equated to £119.2-164.4 million. CONCLUSIONS: Robust epidemiological data that are internationally comparable and representative are scarce for nonmelanoma skin cancer. The rising global incidence coupled with struggling healthcare systems in the post-COVID-19 recovery period serve to intensify the societal and healthcare impact. This study is the first to demonstrate the incidence of BCC in Wales and is one of a small number in the UK using internally validated large cohort datasets. Furthermore, our findings demonstrate one of the highest published incidences within the UK and Europe.

Can patients with asymptomatic SARS-CoV-2 infection safely undergo elective surgery?

Current or recent infection with SARS-CoV-2 increases the risk of perioperative morbidity and mortality. Consensus guidelines recommend delaying elective major surgery after acute SARS-CoV-2 infection for 7 or 8 weeks. However, because of the growing backlog of untreated surgical disease and the potential risks of delaying surgery, surgical services may be under pressure to reduce this period. Here, we discuss the risks and benefits of delaying surgery for patients with current or recent SARS-CoV-2 infection in the context of the evolving COVID-19 pandemic, the limited evidence supporting delays to surgery, and the need for more research in this area.

Anaphylactic Reaction Rates to Blue Dyes Used for Sentinel Lymph Node Mapping: Systematic Review and Meta-analysis.

OBJECTIVE: The primary objective of this study was to quantify the risk of anaphylaxis to blue dyes used in SLNB for cancer. Secondary outcomes included the identification of factors that may influence this risk. SUMMARY OF BACKGROUND DATA: Blue dyes are widely used to help identify sentinel lymph nodes in oncological surgery. The rate of severe allergic reactions to blue dyes remains a controversial topic, with the true incidence and influencing factors uncertain. METHODS: A systematic review and meta-analysis was performed to identify all studies which report on the incidence of severe adverse reactions and anaphylaxis to blue dyes (patent blue, isosulfan blue, methylene blue, and indigo carmine), when used for SLNB. Collected data included cancer and dye type, volume, and method of injection. Incidence was estimated using the arcsine method of statistical analysis. RESULTS: One hundred nine studies documenting 94 episodes of anaphylaxis in a total of 61,951 SLNB procedures, resulting in a weighed anaphylaxis rate of 0.061%. SLNB for breast cancer carries an anaphylaxis risk of 0.083%, with the risk markedly lower in melanoma surgery (0.0043%). Low dye volume (<2 mL) and intradermal injection are both associated with lower rates of anaphylaxis (0.031% and 0.0068%). Isosulfan blue seems to be the most anaphylactogenic amongst blue dyes with a rate of 0.16%. There were no reported cases of death in this cohort. CONCLUSION: Anaphylaxis to blue dyes in SLNB is rare. Methylene blue, patent blue, lower dye volumes, and intradermal administration are all associated with a lower incidence of anaphylaxis.

Surgical activity in England and Wales during the COVID-19 pandemic: a nationwide observational cohort study.

BACKGROUND: A significant proportion of healthcare resource has been diverted to the care of those with COVID-19. This study reports the volume of surgical activity and the number of cancelled surgical procedures during the COVID-19 pandemic. METHODS: We used hospital episode statistics for all adult patients undergoing surgery between January 1, 2020 and December 31, 2020 in England and Wales. We identified surgical procedures using a previously published list of procedure codes. Procedures were stratified by urgency of surgery as defined by NHS England. We calculated the deficit of surgical activity by comparing the expected number of procedures from 2016 to 2019 with the actual number of procedures in 2020. Using a linear regression model, we calculated the expected cumulative number of cancelled procedures by December 31, 2021. RESULTS: The total number of surgical procedures carried out in England and Wales in 2020 was 3 102 674 compared with the predicted number of 4 671 338 (95% confidence interval [CI]: 4 218 740-5 123 932). This represents a 33.6% reduction in the national volume of surgical activity. There were 763 730 emergency surgical procedures (13.4% reduction) compared with 2 338 944 elective surgical procedures (38.6% reduction). The cumulative number of cancelled or postponed procedures was 1 568 664 (95% CI: 1 116 066-2 021 258). We estimate that this will increase to 2 358 420 (95% CI: 1 667 587-3 100 808) up to December 31, 2021. CONCLUSIONS: The volume of surgical activity in England and Wales was reduced by 33.6% in 2020, resulting in more than 1.5 million cancelled operations. This deficit will continue to grow in 2021.

Making the Most of Big Data in Plastic Surgery: Improving Outcomes, Protecting Patients, Informing Service Providers.

ABSTRACT: In medicine, "big data" refers to the interdisciplinary analysis of high-volume, diverse clinical and lifestyle information on large patient populations. Recent advancements in data storage and electronic record keeping have enabled the expansion of research in this field. In the United Kingdom, Big data has been highlighted as one of the government's "8 Great Technologies," and the Medical Research Council has invested more than £100 million since 2012 in developing the Health Data Research UK infrastructure. The recent Royal College of Surgeons Commission of the Future of Surgery concluded that analysis of big data is one of the 4 most likely avenues to bring some of the most innovative changes to surgical practice in the 21st century.In this article, we provide an overview of the nascent field of big data analytics in plastic and highlight how it has the potential to improve outcomes, increase safety, and aid service planning.We outline the current resources available, the emerging role of big data within the subspecialties of burns, microsurgery, skin and breast cancer, and how these data can be used. We critically review the limitations and considerations raised with big data, offer suggestions regarding database optimization, and suggest future directions for research in this exciting field.

A novel use of the rigid external distraction frame: acute on-table distraction with autologous bone grafting.

Distraction osteogenesis with an external distraction device such as the rigid external distraction (RED) frame has become an established method for treating midface hypoplasia. It allows for greater advancement of the midface than achievable with traditional Le Fort III osteotomies; however, there are a number of problems associated with frame application such as pin site migration and need for frame removal. We present 2 cases of the novel use of the RED frame, in both a pediatric patient and an adult patient. The RED frame was used to achieve table soft tissue distraction, greater than previously achievable with traditional Le Fort III osteotomy. This was then combined with acute bone grafting, allowing the RED frame to be removed intraoperatively and thereby removing the complications associated with long-term frame application. We believe this to be the first reported use of the RED frame for acute on-table distraction of the midface. This has allowed far greater advancement of the midface than would be achievable with traditional Le Fort III advancement but, when combined with autologous bone grafting, has allowed intraoperative removal of the frame, thus negating some of the complications of long-term distraction osteogenesis using the RED frame.

Can Large Language Models Generate Outpatient Clinic Letters at First Consultation That Incorporate Complication Profiles From UK and USA Aesthetic Plastic Surgery Associations?

The importance of written communication between clinicians and patients, especially in the wake of the Supreme Court case of Montgomery vs Lanarkshire, has led to a shift toward patient-centric care in the United Kingdom. This study investigates the use of large language models (LLMs) like ChatGPT and Google Bard in enhancing clinic letters with gold-standard complication profiles, aiming to improve patients' understanding and save clinicians' time in aesthetic plastic surgery. The aim of this study is to assess the effectiveness of LLMs in integrating complication profiles from authoritative sources into clinic letters, thus enhancing patient comprehension and clinician efficiency in aesthetic plastic surgery. Seven widely performed aesthetic procedures were chosen, and complication profiles were sourced from the British Association of Aesthetic Plastic Surgeons (BAAPS) and the American Society of Plastic Surgeons (ASPS). We evaluated the proficiency of the ChatGPT4, ChatGPT3.5, and Google Bard in generating clinic letters which incorporated complication profiles from online resources. These letters were assessed for readability using an online tool, targeting a recommended sixth-grade reading level. ChatGPT4 achieved the highest compliance in integrating complication profiles from BAAPS and ASPS websites, with average readability grades between eighth and ninth. ChatGPT3.5 and Google Bard showed lower compliance, particularly when accessing paywalled content like the ASPS Informed Consent Bundle. In conclusion, LLMs, particularly ChatGPT4, show promise in enhancing patient communications in aesthetic plastic surgery by effectively incorporating standard complication profiles into clinic letters. This aids in informed decision making and time saving for clinicians. However, the study underscores the need for improvements in data accessibility, search capabilities, and ethical considerations for optimal LLM integration into healthcare communications. Future enhancements should focus on better interpretation of inaccessible formats and a Human in the Loop approach to combine Artifical Intelligence capabilities with clinician expertise.

Revisiting basal cell carcinoma clinical margins: Leveraging natural language processing and multivariate analysis with updated Royal College of Pathologists histological reporting standards.

INTRODUCTION: Data supporting the current British Association of Dermatologists guidelines for the management of basal cell carcinoma (BCC) are based on historic studies and do not consider the updated Royal College of Pathologists (RCPath) histological reporting standards. The aim of this study was to use natural language processing (NLP)-derived data and undertake a multivariate analysis with updated RCPath standards, providing a contemporary update on the excision margins required to achieve histological clearance in BCC. METHODS: A validated NLP information extraction model was used to perform a rapid multi-centre, pan-specialty, consecutive retrospective analysis of BCCs, managed with surgical excision using a pre-determined clinical margin, over a 17-year period (2004-2021) at Swansea Bay University Health Board. Logistic regression assessed the relationship between the peripheral and deep margins and histological clearance. RESULTS: We ran our NLP algorithm on 34,955 BCCs. Out of the 1447 BCCs that met the inclusion criteria, the peripheral margin clearance was not influenced by the BCC risk level (p = 0.670). A clinical peripheral margin of 6 mm achieved a 95% histological clearance rate (95% confidence interval [CI], 0.93-0.98). Tumour thickness inversely affected deep-margin histological clearance (OR 0.720, 95% CI, 0.525-0.991, p < 0.05). Depth level 2 had a 97% probability of achieving deep-margin histological clearance across all tumour thicknesses. CONCLUSION: Updated RCPath reporting standards minimally impact the peripheral margin histological clearance in BCC. Larger clinical peripheral margins than those indicated by current guidelines may be necessary to achieve excision rates of ≥95%. These findings emphasise the need for continuous reassessment of clinical standards to enhance patient care.

FACE-Q for Measuring Patient-reported Outcomes after Facial Skin Cancer Surgery: Cross-cultural Validation.

Background: Facial skin cancer and its surgical treatment can affect health-related quality of life. The FACE-Q Skin Cancer Module is a patient-reported outcome measure that measures different aspects of health-related quality of life and has recently been translated into Dutch. This study aimed to evaluate the performance of the translated version in a Dutch cohort using modern psychometric measurement theory (Rasch). Methods: Dutch participants with facial skin cancer were prospectively recruited and asked to complete the translated FACE-Q Skin Cancer Module. The following assumptions of the Rasch model were tested: unidimensionality, local independence, and monotonicity. Response thresholds, fit statistics, internal consistency, floor and ceiling effects, and targeting were assessed for all scales and items within the scales. Responsiveness was tested for the "cancer worry" scale. Results: In total, 259 patients completed the preoperative questionnaire and were included in the analysis. All five scales assessed showed a good or sufficient fit to the Rasch model. Unidimensionality and monotonicity were present for all scales. Some items showed a local dependency. Most of the scales demonstrate ordered item thresholds and appropriate fit statistics. Conclusions: The FACE-Q Skin Cancer Module is a well-designed patient-reported outcome measure that shows psychometric validity for the translated version in a Dutch cohort, using classical and modern test theory.

Comparative study of ChatGPT and human evaluators on the assessment of medical literature according to recognised reporting standards.

INTRODUCTION: Amid clinicians' challenges in staying updated with medical research, artificial intelligence (AI) tools like the large language model (LLM) ChatGPT could automate appraisal of research quality, saving time and reducing bias. This study compares the proficiency of ChatGPT3 against human evaluation in scoring abstracts to determine its potential as a tool for evidence synthesis. METHODS: We compared ChatGPT's scoring of implant dentistry abstracts with human evaluators using the Consolidated Standards of Reporting Trials for Abstracts reporting standards checklist, yielding an overall compliance score (OCS). Bland-Altman analysis assessed agreement between human and AI-generated OCS percentages. Additional error analysis included mean difference of OCS subscores, Welch's t-test and Pearson's correlation coefficient. RESULTS: Bland-Altman analysis showed a mean difference of 4.92% (95% CI 0.62%, 0.37%) in OCS between human evaluation and ChatGPT. Error analysis displayed small mean differences in most domains, with the highest in 'conclusion' (0.764 (95% CI 0.186, 0.280)) and the lowest in 'blinding' (0.034 (95% CI 0.818, 0.895)). The strongest correlations between were in 'harms' (r=0.32, p<0.001) and 'trial registration' (r=0.34, p=0.002), whereas the weakest were in 'intervention' (r=0.02, p<0.001) and 'objective' (r=0.06, p<0.001). CONCLUSION: LLMs like ChatGPT can help automate appraisal of medical literature, aiding in the identification of accurately reported research. Possible applications of ChatGPT include integration within medical databases for abstract evaluation. Current limitations include the token limit, restricting its usage to abstracts. As AI technology advances, future versions like GPT4 could offer more reliable, comprehensive evaluations, enhancing the identification of high-quality research and potentially improving patient outcomes.

Improving the effectiveness of multidisciplinary team meetings on skin cancer: Analysis of the National Cancer Research UK survey responses.

INTRODUCTION: Skin cancer is the most common form of cancer in the UK, comprising at least 25% of all new cancer diagnoses. Many patients require referral to the local or specialist skin cancer multidisciplinary team (MDT) for ongoing management. However, national data have shown that Specialist Skin Cancer MDTs are costly and do not currently meet NICE standards for composition and quoracy. Innovative solutions to these problems are therefore warranted. METHODS: We performed a secondary comparative analysis of 3563 quantitative responses to two Cancer Research UK commissioned surveys along with subanalysis of 282 skin cancer MDT respondents. RESULTS: Good uniformity was observed amongst skin respondents in the belief that risk stratification and prioritization of complex cases were the most important factors compared to other cancer MDT members. The most important priorities for areas requiring change to MDT working deemed by the skin MDT were 1) imaging and pathology results ready for the meeting, 2) time to discuss patients in detail, 3) clear meeting owner in charge, and 4) clear agenda, in advance of the meeting. There was agreement (median Likert score 4) amongst skin MDT respondents that patients should be placed on protocolized treatment pathways. CONCLUSION: The responses of skin MDT respondents analyzed in the current study support changes to meeting attendance, preparation, and protocolized streaming. In line with other studies, we support tumor-specific guidance for streamlining MDT discussions. We also encourage stakeholders to adopt an evidence-based approach to test, develop, and reassess changes in this herculean task.

Evaluating remote skin cancer multidisciplinary team meetings in the United Kingdom post-COVID-19.

INTRODUCTION: Prior to the COVID-19 pandemic, there was concern that virtual or remote multidisciplinary teams (MDT) meetings represented a niche concept that was unlikely to replace traditional face-to-face meetings in the management of cancer. However, the sudden shift to virtual meetings during COVID-19 has been one of the most dramatic changes since the inception of the MDT. This study aims to investigate the effectiveness of virtual skin MDTs since the move to virtual meetings. METHODS: A cross-sectional survey was sent to all Specialist Skin Cancer MDTs (SSMDTs) and the British Association of Plastic, Reconstructive, and Aesthetic Surgeons Skin Oncology Special Interest and Advisory Group. RESULTS: There were 68 responses (55.3% response rate) from 36 SSMDTs in the UK. Respondents felt communication, chairing, and decision-making were similar in virtual and in-person MDTs, but the team working was worse in virtual meetings. Recruitment, data security, and patient confidentiality were maintained in virtual MDTs. Most preferred a hybrid format for future MDTs, with the option to attend virtually. Recommendations for improvement included better connectivity, IT support, training, and staff integration. CONCLUSION: The virtual MDT is here to stay. We highlight the strengths and weaknesses of remote virtual skin MDTs. It is key that we look at ways to retain team working to ensure that the collegiate nature of MDT working, and therefore treatment options for patients, are not lost in this transformation in MDT delivery.

The incidence of non-melanoma skin cancer in the UK and the Republic of Ireland: a systematic review.

BACKGROUND: Basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC) remain the most prevalent malignancies, contributing a higher workload to cancer registries than all cancers combined. The nature of skin cancers in addition to current coding methods employed by registries give a skewed representation of the workload. OBJECTIVES: A comprehensive search examining the incidence of BCC and/or cSCC at a regional or national level in the UK and Ireland was devised. Standardisation methods were grouped to permit comparison, and a bias assessment tool was employed. MATERIALS & METHODS: Sixteen UK and Republic of Ireland epidemiological studies on BCC/cSCC over a 48-year period were compiled, examining incidence, trends and emerging risk factors. RESULTS: Incidence of BCC within the UK is increasing annually by up to 4%, with rates in Wales increasing by up to 6.6% and 1.6% annually for BCC and cSCC, respectively. Inverse relationships are noted between BCC/cSCC and social deprivation. Although the elderly remain the most at risk, the 30-49 age group have illustrated growth rates of approximately 4%. CONCLUSION: This review outlines increasing incidence in the UK with higher rates noted in Wales, the Southeast, West and Central regions. Incidence rates are higher amongst the least socially deprived and an increasing incidence amongst younger age groups was found, however further trend analysis is required. A more comprehensive data collection method within registries is necessary to ensure accurate representation and fluid comparison. Service planning and public awareness campaigns must be implemented to prevent overwhelming future services.