Royal Devon and Exeter Research Repository
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Enhanced keratoconus care through optometry-led services at the West of England Eye Unit, Exeter
No full textJournal content freely available via Open Access. Some content may be unavailable due to publisher embargo. Click on the 'Additional link' above to access the full-text
UK Transfusion Laboratory Collaborative: Minimum standards for staff qualifications, training, competency and the use of information technology in hospital transfusion laboratories 2023
No full textPublished version, accepted version (12 month embargo), submitted versionRD&E staff can access the full-text of this article by clicking on the 'Additional Link' above and logging in with NHS OpenAthens if prompted
Age difference of patients with and without invasive aspergillosis: a systematic review and meta-analysis
No full textBACKGROUND: Invasive Aspergillosis (IA) is a life-threatening fungal disease with significant mortality rates. Timely diagnosis and treatment greatly enhance patient outcomes. This study aimed to explore the association between patient age and the development of IA, as well as the potential implications for risk stratification strategies. METHODS: We searched National Center for Biotechnology Information (NCBI) databases for publications until October 2023 containing age characteristics of patients with and without IA. A random-effects model with the application of inverse-variance weighting was used to pool reported estimates from each study, and meta-regression and subgroup analyses were utilized to assess sources of heterogeneity. RESULTS: A systematic review was conducted, resulting in the inclusion of 55 retrospective observational studies with a total of 13,983 patients. Meta-analysis revealed that, on average, patients with IA were approximately two and a half years older (95% Confidence Interval [CI] 1.84-3.31 years; I(2) = 26.1%) than those without the disease (p < 0.0001). No significant moderators could explain the observed heterogeneity in age difference. However, subgroup analysis revealed that age differences were more pronounced within particular patient groups compared to others. For example, patients with and without IA who had primary severe lung infections exhibited a greater difference in mean age than other patient cohorts. CONCLUSIONS: Further research, such as individual patient data meta-analysis, is necessary to better understand the potential relationship between increasing age and the likelihood of IA. Improved risk stratification strategies based on patient age could potentially enhance the early detection and treatment of IA, ultimately improving patient outcomes.Published version, accepted version, submitted versionRDUH can access the full-text of this article by clicking on the 'Additional Link' above and logging in with NHS OpenAthens if prompted
Comments on the notion of false positivity in measurements of autoantibodies. Reply to Grill V, Sørgjerd E, Hals I, Carlsson S [letter]
No full textPublished version, accepted version (12 month embargo)The article is available via Open Access. Click on the 'Additional link' above to access the full-text
Psychosocial interventions for improving the physical health of young people and adults with attention deficit hyperactivity disorder: a scoping review
No full textBACKGROUND: Young people and adults with ADHD are at risk of a range of physical health problems. There is limited guidance on how to approach health problems in ADHD, and especially around 16-25 year olds who will be transitioning from paediatric to adult care. The aim of this scoping review was to identify psychosocial interventions that target physical health in young people and adults with ADHD. METHODS: We constructed searches in MEDLINE, PsycInfo, EMBASE of adolescents, young people and adults. Inclusion criteria were; studies of psychosocial interventions examining a component of physical health, applicable to people aged 16-25, with clinical or research diagnoses of ADHD. Data were extracted using a data extraction tool and tabulated, including study intervention framing/aims, population, intervention, and relevant outcomes (including specific statistics where relevant). RESULTS: Our search identified 22 unique papers covering, psychosocial interventions targeting at least one of sleep (n=7), smoking (n=3), substance/alcohol use (n=4), physical health/exercise (n=6) and general health (n=3). Studies examined psychotherapy/behaviour interventions (n=12), psychoeducation (n=4), digital (n=2) and social interventions (n=4). There was significant heterogeneity in intervention framing, outcome measures and population. CONCLUSION: Further work on the impact of targeted physical health interventions, with explicit reference to a conceptual framework of poor health in ADHD is required. Furthermore, future work standardising reporting of physical health outcomes in ADHD is crucial for the development of an evidence base in this field.UnknownJournal content freely available via Open Access. Some content may be unavailable due to publisher embargo. Click on the 'Additional link' above to access the full-text
Investigating the role of common cis-regulatory variants in modifying penetrance of putatively damaging, inherited variants in severe neurodevelopmental disorders
No full textRecent work has revealed an important role for rare, incompletely penetrant inherited coding variants in neurodevelopmental disorders (NDDs). Additionally, we have previously shown that common variants contribute to risk for rare NDDs. Here, we investigate whether common variants exert their effects by modifying gene expression, using multi-cis-expression quantitative trait loci (cis-eQTL) prediction models. We first performed a transcriptome-wide association study for NDDs using 6987 probands from the Deciphering Developmental Disorders (DDD) study and 9720 controls, and found one gene, RAB2A, that passed multiple testing correction (p = 6.7 × 10(-7)). We then investigated whether cis-eQTLs modify the penetrance of putatively damaging, rare coding variants inherited by NDD probands from their unaffected parents in a set of 1700 trios. We found no evidence that unaffected parents transmitting putatively damaging coding variants had higher genetically-predicted expression of the variant-harboring gene than their child. In probands carrying putatively damaging variants in constrained genes, the genetically-predicted expression of these genes in blood was lower than in controls (p = 2.7 × 10(-3)). However, results for proband-control comparisons were inconsistent across different sets of genes, variant filters and tissues. We find limited evidence that common cis-eQTLs modify penetrance of rare coding variants in a large cohort of NDD probands.Published version, accepted version, submitted versionJournal content freely available via Open Access. Some content may be unavailable due to publisher embargo. Click on the 'Additional link' above to access the full-text
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy
No full textArtificial intelligence (AI) holds significant potential for enhancing quality of gastrointestinal (GI) endoscopy, but the adoption of AI in clinical practice is hampered by the lack of rigorous standardisation and development methodology ensuring generalisability. The aim of the Quality Assessment of pre-clinical AI studies in Diagnostic Endoscopy (QUAIDE) Explanation and Checklist was to develop recommendations for standardised design and reporting of preclinical AI studies in GI endoscopy.The recommendations were developed based on a formal consensus approach with an international multidisciplinary panel of 32 experts among endoscopists and computer scientists. The Delphi methodology was employed to achieve consensus on statements, with a predetermined threshold of 80% agreement. A maximum three rounds of voting were permitted.Consensus was reached on 18 key recommendations, covering 6 key domains: data acquisition and annotation (6 statements), outcome reporting (3 statements), experimental setup and algorithm architecture (4 statements) and result presentation and interpretation (5 statements). QUAIDE provides recommendations on how to properly design (1. Methods, statements 1-14), present results (2. Results, statements 15-16) and integrate and interpret the obtained results (3. Discussion, statements 17-18).The QUAIDE framework offers practical guidance for authors, readers, editors and reviewers involved in AI preclinical studies in GI endoscopy, aiming at improving design and reporting, thereby promoting research standardisation and accelerating the translation of AI innovations into clinical practice.Journal content freely available via Open Access. Some content may be unavailable due to publisher embargo. Click on the 'Additional link' above to access the full-text
Accurate and cost-effective generation of a genetic risk score direct from blood lysates
No full textJournal content freely available via Open Access. Some content may be unavailable due to publisher embargo. Click on the 'Additional link' above to access the full-text
Use of statistical process control in quality improvement projects in abdominal surgery: a PRISMA systematic review
No full textBACKGROUND: The use of quality improvement methodology has increased in recent years due to a perceived benefit in effectively reducing morbidity, mortality and length of stay. Statistical process control (SPC) is an important tool to evaluate these actions, but its use has been limited in abdominal surgery. Previous systematic reviews have examined the use of SPC in healthcare, but relatively few surgery-related articles were found at that time. OBJECTIVE: To perform a systematic review (SR) to evaluate the application of SPC on abdominal surgery specialties between 2004 and 2019. METHODS: An SR following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram was completed using Embase and Ovid Medline with terms related to abdominal surgery and SPC. RESULTS: A total of 20 articles were selected after applying the exclusion criteria. Most of the articles came from North America, Europe and Australia, and half have been published in the last 5 years. The most common outcome studied was surgical complications. Urology, colorectal and paediatric surgery made up most of the articles. Articles show the application of SPC in various outcomes and the use of different types of graphs, demonstrating flexibility in using SPC. However, some studies did not use SPC in a robust way and these studies were of variable quality. CONCLUSION: This study shows that SPCs are being applied increasingly for most surgical specialties; however, it is still less used than in other fields, such as anaesthesia. We identified conceptual errors in several studies, such as issues with the design or incorrect data analysis. SPCs can be used to increase the quality of surgical care; the use should increase, but critically, the analysis needs to improve to prevent erroneous conclusions being drawn.Published version, accepted version, submitted versionThe article is available via Open Access. Click on the 'Additional link' above to access the full-text
Can ChatGPT assist authors with abstract writing in medical journals? Evaluating the quality of scientific abstracts generated by ChatGPT and original abstracts
No full textINTRODUCTION: ChatGPT, a sophisticated large language model (LLM), has garnered widespread attention for its ability to mimic human-like communication. As recent studies indicate a potential supportive role of ChatGPT in academic writing, we assessed the LLM's capacity to generate accurate and comprehensive scientific abstracts from published Randomised Controlled Trial (RCT) data, focusing on the adherence to the Consolidated Standards of Reporting Trials for Abstracts (CONSORT-A) statement, in comparison to the original authors' abstracts. METHODOLOGY: RCTs, identified in a PubMed/MEDLINE search post-September 2021 across various medical disciplines, were subjected to abstract generation via ChatGPT versions 3.5 and 4, following the guidelines of the respective journals. The overall quality score (OQS) of each abstract was determined by the total number of adequately reported components from the 18-item CONSORT-A checklist. Additional outcome measures included percent adherence to each CONOSORT-A item, readability, hallucination rate, and regression analysis of reporting quality determinants. RESULTS: Original abstracts achieved a mean OQS of 11.89 (95% CI: 11.23-12.54), outperforming GPT 3.5 (7.89; 95% CI: 7.32-8.46) and GPT 4 (5.18; 95% CI: 4.64-5.71). Compared to GPT 3.5 and 4 outputs, original abstracts were more adherent with 10 and 14 CONSORT-A items, respectively. In blind assessments, GPT 3.5-generated abstracts were deemed most readable in 62.22% of cases which was significantly greater than the original (31.11%; P = 0.003) and GPT 4-generated (6.67%; P<0.001) abstracts. Moreover, ChatGPT 3.5 exhibited a hallucination rate of 0.03 items per abstract compared to 1.13 by GPT 4. No determinants for improved reporting quality were identified for GPT-generated abstracts. CONCLUSIONS: While ChatGPT could generate more readable abstracts, their overall quality was inferior to the original abstracts. Yet, its proficiency to concisely relay key information with minimal error holds promise for medical research and warrants further investigations to fully ascertain the LLM's applicability in this domain.Not permittedThe article is available via Open Access. Click on the 'Additional link' above to access the full-text