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A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.

INTRODUCTION: Numerous studies have shown that the diagnostic performance and reproducibility of visual recognition of endometriosis during laparoscopy are poor. The use of artificial intelligence (AI) seems relevant for exhaustive lesion recognition. Standardization of the visual classification of lesions, in the form of an ontology, is an essential prerequisite to enable medical experts to annotate surgical data consistently and subsequently allow engineers to train and build an artificial intelligence tool for endometriosis recognition. MATERIAL AND METHODS: A systematic search was conducted in the MEDLINE (via PubMed), EMBASE, and the Cochrane Library databases up to May 2022, aiming to identify studies describing the laparoscopic visual appearance of superficial endometriosis, endometriomas, and deep infiltrating endometriosis. The accumulated data in the literature concerning the visual appearance of the different forms of endometriosis were used to create an ontology that could be used for artificial intelligence applications. RESULTS: Out of 932 articles screened, 35 studies were selected based on the inclusion criteria of human subjects with histologically confirmed endometriosis lesions visualized via laparoscopy. The selected studies were reviewed to develop a visual ontology of endometriosis lesions observed via laparoscopy. The lesions were categorized into 4 classes and further subdivided into 11 subclasses: superficial (black, red, white, or subtle), adhesions (dense or filmy), deep (obliteration, retraction, or deformation), and ovarian (endometrioma or chocolate fluid). The positive predictive value (PPV) varied across lesion types: black lesions (PPV 47%-97%), red lesions (PPV 33%-100%), white lesions (PPV 20%-81%), and ovarian endometriosis (PPV 42%-98%). Nonspecific lesions such as adhesions (PPV 16%-50%) and subtle superficial lesions (PPV 0%-67%) presented lower PPVs. Deep endometriosis lesions, often buried within organs, required indirect signs (obliteration, retraction, deformation) for identification. CONCLUSIONS: The visual ontology proposed in this systematic search could facilitate the detection and classification of endometriosis lesions using artificial intelligence. This study highlights the challenges of reaching a consensus on lesion recognition and classification in AI projects due to the diverse visual presentations of endometriosis.

Humans

Efficacy and Hypoglycaemia Outcomes With Once-Weekly IcoSema Versus Comparators in Individuals With Type 2 Diabetes by Kidney and Liver Function: A Post Hoc Analysis of the COMBINE 1-3 Trials.

AIMS: This post hoc analysis of COMBINE 1-3 assessed efficacy and hypoglycaemia outcomes with IcoSema (once-weekly combination therapy of basal insulin icodec and semaglutide [a glucagon-like peptide-1 analogue]) versus comparators in adults with type 2 diabetes (T2D) by kidney and liver function subgroups. MATERIALS AND METHODS: Treatment outcomes were analysed by trial according to kidney (estimated glomerular filtration rate &#x2265;&#x2009;90; 60-<&#x2009;90; 30-<&#x2009;60; <&#x2009;30&#x2009;mL/min/1.73&#x2009;m2) and liver (total bilirubin &#x2264;&#x2009;21&#x2009;&#x3bc;mol/L or aspartate aminotransferase [AST] &#x2264;&#x2009;31/&#x2264;&#x2009;37 [female/male] U/L; total bilirubin >&#x2009;21&#x2009;&#x3bc;mol/L or AST >&#x2009;31/>&#x2009;37 [female/male] U/L) function subgroups. RESULTS: In COMBINE 1-3, across kidney and liver function subgroups, there were no statistically significant treatment by subgroup interactions for change in glycated haemoglobin (HbA1c) (baseline to week 52), change in body weight (baseline to week 52) or rates of combined clinically significant or severe hypoglycaemia (not assessed by kidney function for COMBINE 2) (all p&#x2009;>&#x2009;0.05). There were statistically significant treatment by kidney function subgroup interactions for the achievement of HbA1c <&#x2009;7.0% without weight gain and without clinically significant or severe hypoglycaemia in COMBINE 3 (p&#x2009;<&#x2009;0.05) but not COMBINE 1 or 2, and statistically significant treatment by liver function subgroup interactions in COMBINE 1 (p&#x2009;<&#x2009;0.05) but not COMBINE 2 or 3. For COMBINE 1 and 3, there were statistically significant treatment by kidney function subgroup interactions for mean weekly total insulin dose, but not statistically significant treatment by liver function subgroup interactions. CONCLUSIONS: Efficacy and hypoglycaemia outcomes with IcoSema versus comparators were generally consistent among adults with T2D with mild to moderate kidney impairment or impaired liver function. TRIAL REGISTRATION: The COMBINE 1-3 trials were sponsored by Novo Nordisk and are registered with ClinicalTrials.gov (NCT05352815; NCT05259033; NCT05013229).

Humans

Sodium-glucose cotransporter-2 inhibitors and gastrointestinal neoplasm risk in type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials.

The potential carcinogenic effects of sodium-glucose cotransporter 2 (SGLT2) inhibitors in patients with type 2 diabetes mellitus (T2DM) remain controversial, particularly regarding site-specific gastrointestinal (GI) neoplasms. This systematic review and meta-analysis aimed to determine the relationship between SGLT2 inhibitors and the risk of GI neoplasms in patients with T2DM. We searched PubMed, EMBASE, Cochrane CENTRAL, Scopus, and Web of Science through March 17, 2025, for RCTs in T2DM comparing SGLT2 inhibitors with placebo or active comparators. Two reviewers independently screened studies, extracted data, and assessed the risk of bias. The primary outcome was GI neoplasms reported in publications, supplementary materials, or trial registries, usually as adverse events rather than centrally adjudicated cancer endpoints. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated in Stata 17.0. In 48 RCTs (n&#x2009;=&#x2009;48,765), SGLT2 inhibitor therapy was not associated with overall GI neoplasm risk (OR&#x2009;=&#x2009;1.10, 95% CI: 0.84-1.44; p&#x2009;=&#x2009;0.46; I&#xb2; = 0%). Site-specific analyses showed no statistically significant association for esophageal (OR&#x2009;=&#x2009;1.12, 95% CI 0.37-3.45), gastric (1.20, 0.65-2.23), hepatic (0.62, 0.31-1.22), pancreatic (0.91, 0.51-1.64), colonic (1.28, 0.78-2.08), colorectal (0.76, 0.27-2.17), and rectal neoplasms (0.98, 0.49-1.97), with all p-values&#x2009;>&#x2009;0.05. Subgroup analyses by agents (e.g., canagliflozin, dapagliflozin, empagliflozin), baseline age, body mass index (BMI), HbA1c, treatment duration, and dose were also non-significant (all p&#x2009;>&#x2009;0.05). Approximately half of the trials had follow-up of one year or less, limiting our ability to evaluate long-term risk. Available RCT evidence does not show a clear increase in GI neoplasm risk with SGLT2 inhibitors in T2DM. However, limited follow-up, low event counts, and non-cancer-specific outcome ascertainment, the findings should be interpreted as reassuring but not definitive evidence of long-term oncologic safety.Systematic review registration: PROSPERO No. CRD42024619019.

Humans

Safety and Tolerability of Single and Multiple Daily Oral Doses of Dried Kratom Leaf Powder in a Randomized Trial in Healthy Volunteers.

BACKGROUND: Kratom use is rising, increasing the need for safety and tolerability studies of high-quality and well-characterized kratom products in humans. Kratom's risk-benefit ratio, recommended dose, treatment-emergent adverse events (TEAEs), abuse potential, and withdrawal require evaluation. Thus, the safety and tolerability of 4 escalating single and 15 daily dried kratom leaf powder doses in human volunteers were evaluated over 47 days in the largest controlled kratom-administration study to date. METHODS: A randomized, between-subject, double-blind, placebo-controlled, dose-escalation study of MitraLeaf kratom powder after single doses (SD), during 15 daily doses (multiple doses; MD), and a 23-day follow-up was conducted in 116 volunteers (49 MitraLeaf and 67 placebo). Twelve participants each received a SD of either 6.65, 13.3, 26.6, or 53.2 mg (n = 13) mitragynine in 500, 1000, 2000, or 4000 mg of MitraLeaf, respectively, with a 10-day follow-up. The same participants received 15 daily doses at the same concentration of SD mitragynine received, with a 27-day follow-up period. Inclusion criteria were nonsmoking healthy males and females who never used kratom or had not used kratom for &#x2265;12 months, 18-55 years old, and BMI &#x2265;18.5 and &#x2264;29.9 kg/m 2 . Participants were excluded if they had known CYP3A4, CYP2D6, or CYP1A2 genetic polymorphisms. RESULTS: No serious adverse events or deaths were reported. TEAEs after SD or MD generally increased as the dose increased. Dizziness, nausea, and feeling of relaxation were the most commonly reported TEAEs after SD, and headache, feeling hot, increased alanine aminotransferase level, and nausea were most common after MD. CONCLUSIONS: This SD and first MD controlled study shows that Mitragyna speciosa -derived MitraLeaf kratom powder was safe and well tolerated at the dose ranges tested, with no evidence of meaningful abuse potential or withdrawal.

Humans

Patient and Public Involvement and Engagement in Pediatric Health Research: A Systematic Review.

BACKGROUND: Patient and public involvement and engagement (PPIE) can increase the relevance and efficiency of research projects. An overview of PPIE approaches and implementation in pediatric research studies is needed to facilitate learning from others' experiences. OBJECTIVE: We aimed to systematically review practices in PPIE across all pediatric health research disciplines regarding characteristics and recruitment of PPIE participants, timepoints and methods used for PPIE, levels of involvement, benefits and barriers of PPIE. SEARCH STRATEGY: We searched Pubmed, EMBASE, Cochrane and PsycInfo using a comprehensive set of terms based on the concepts 'Patient and Public Involvement,' 'Health Research' and 'Pediatrics.' INCLUSION CRITERIA: We included original research articles describing PPIE implementation in pediatric health research published in English or German between 01/2003-10/2024. DATA EXTRACTION AND SYNTHESIS: Data was extracted using predefined categories and synthesized by narrative summary and thematic synthesis. PPIE reporting quality was assessed using the GRIPP2 short form checklist. MAIN RESULTS: Out of 1910 references, we included 37 original research articles, representing 35 studies. PPIE participants were mostly children, adolescents or caregivers involved in all research stages, especially in study design (89%) and recruitment (51%). Key positive impacts of PPIE on research included enhanced recruitment and retention rates and personal benefits for PPIE participants. Barriers to PPIE were financial and time resources required and challenges in recruiting representative PPIE participants. The level of involvement and PPIE reporting quality varied highly between studies. DISCUSSION: Common benefits and barriers of PPIE exist across pediatric research disciplines. Reporting quality varied highly between studies. CONCLUSIONS: PPIE is valuable in pediatric health research. Adherence to guidelines for conducting and reporting PPIE is important to enhance mutual learning. PATIENT OR PUBLIC CONTRIBUTION: PPIE input contributed to the understandability of the lay summary. The findings of this review, together with parent and public input, will inform guidelines for future PPIE activities at the authors' institutions.

Humans

Diagnostic performance of machine learning models versus established risk stratification for intracranial aneurysm rupture: a systematic review and bivariate meta-analysis.

BACKGROUND: Machine learning (ML) models have been proposed to improve the discrimination of intracranial aneurysm rupture status beyond established clinical risk stratification tools. However, reported performance is heterogeneous and the relative contribution of model architecture and feature dominance remains unclear. METHODS: We performed a Preferred Reporting Items for Systematic Reviews and Meta-Analyses-diagnostic test accuracy systematic review and diagnostic meta-analysis of studies evaluating ML models for intracranial aneurysm rupture discrimination. PubMed, Embase and CENTRAL were searched to February 2026. Sensitivity and specificity were pooled using a bivariate random-effects model, with summary receiver operating characteristic curves generated across training, internal testing and external validation datasets. Models were compared with regression-based approaches and Population, Hypertension, Age, Size of aneurysm, Earlier subarachnoid haemorrhage, Site of aneurysm (PHASES) scores. Subgroup and meta-regression analyses explored associations between algorithm family and feature domain. RESULTS: Sixty-two retrospective cohorts (29&#x2009;709 patients 209 models) met the inclusion criteria. In training datasets, pooled sensitivity and specificity for ML were 0.81 (95% CI 0.75 to 0.85)&#x2009;and 0.83 (0.80-0.86), with an area under the curve (AUC) of 0.878, exceeding PHASES (AUC 0.667). In testing datasets, ML retained higher discrimination (AUC 0.837) than regression models (0.806) and PHASES (0.646). In external validation, sensitivity was preserved (0.82), but specificity declined (0.66). Deep learning demonstrated the highest AUCs (training and testing). Incorporation of haemodynamic or radiomic features improved pooled discrimination relative to morphology alone. Evidence of small-study effects and mostly unclear Prediction Model Risk Of Bias Assessment Tool ratings were observed. CONCLUSIONS: ML approaches demonstrate higher pooled discrimination for aneurysm rupture status than conventional risk scores in retrospective datasets, but reduced external validation specificity and heterogeneity limit confidence for clinical translation. Prospective, externally validated, calibrated models are required before integration into routine cerebrovascular risk stratification.

Humans

Data-centric, robust, and explainable multimodal deep learning for clinical decision support: A systematic review.

PURPOSE: Multimodal deep learning is increasingly proposed for clinical decision support (CDS) under a "data-centric" framing that prioritizes label quality, missing-modality robustness, distribution shift, calibration, and explainability. Prior reviews have examined multimodal medical AI, CDS, and data-centric methods separately, but none address their intersection. We mapped the modalities, fusion strategies, and data-centric and explainability techniques used in this recent literature, quantified how often each is implemented rather than merely mentioned, assessed deployment-relevant evidence (external validation, clinical-outcome measurement, equity), and formally appraised study-level risk of bias. METHODS: Following the PRISMA 2020 statement (PROSPERO CRD420261427815; registered retrospectively), we screened 150 records and included primary, clinical, multimodal studies that applied machine or deep learning to a decision-support task and reported at least one quantitative result. Two reviewers screened and extracted data with consensus adjudication. Each study was coded against pre-specified operational definitions, separating implemented or empirically evaluated techniques from those only mentioned. Study-level risk of bias was assessed with PROBAST + AI. Synthesis was narrative. RESULTS: Thirty-one studies met inclusion; 30 (97%) were published between 2024 and 2026, with a median of three modalities (range 2-6), most commonly structured EHR (71%) and imaging (39%). Data-centric techniques were frequently reported (74-84% across label-noise, distribution-shift, calibration, missing-modality and class-imbalance handling; equity 61%). However, external validation was reported in only 4/31 studies (13%), a clinical or provider outcome in 3/31 (10%), and no study reported routine deployment. Overall risk of bias was high in 27/31 studies (87%), driven by the analysis domain. CONCLUSION: Within this recent, self-selected slice of the field, technical robustness and explainability techniques are widely reported but rarely validated out-of-distribution or against clinical outcomes, and the underlying evidence is at high risk of bias. Progress requires external multi-site validation, clinical-outcome measurement, formal bias appraisal, and adherence to AI reporting standards (e.g., TRIPOD + AI) before deployment can be justified.

Deep Learning

Effects of positive psychotherapy on anxiety and quality of life in chronic Urticaria.

INTRODUCTION: Individual, social, and economic consequences including anxiety and poor quality of life are recognised to result from allergic disorders. A positive, realistic viewpoint that emphasises balance and the body is provided by positive psychotherapy. The purpose of this randomized, controlled intervention study was to investigate how counseling based on positive psychotherapy affected anxiety and quality of life. METHODS: Patients in the intervention group had eight sessions of individual counseling based on positive psychotherapy in addition to standard treatment. Other than standard care, the members of the control group received no interventions. The Dermatological Quality of Life Scale (DYQS), Urticaria Activity Score, State-Trait Anxiety Scale, and Personal Information Form were employed as data collection instruments. The study had 66 patients with Chronic Spontaneous Urticaria (CSU), 32 of whom were in the intervention group and 34 of whom were in the control group. RESULTS: The mean scores of the intervention group decreased significantly from pre-test to post-test for urticaria activity (UAS7: 28.22&#xa0;&#xb1;&#xa0;11.17 to 4.22&#xa0;&#xb1;&#xa0;4.30, p&#xa0;<&#xa0;0.001), dermatological quality of life (DLQI: 38.63&#xa0;&#xb1;&#xa0;7.61 to 5.09&#xa0;&#xb1;&#xa0;6.19, p&#xa0;<&#xa0;0.001), situational anxiety (61.63&#xa0;&#xb1;&#xa0;7.73 to 26.03&#xa0;&#xb1;&#xa0;4.71, p&#xa0;<&#xa0;0.001), and trait anxiety (61.56&#xa0;&#xb1;&#xa0;7.90 to 25.13&#xa0;&#xb1;&#xa0;3.66, p&#xa0;<&#xa0;0.001). Furthermore, post-test scores between the intervention and control groups showed statistically significant differences in favor of the intervention group in all primary outcomes, including the total UAS7 score (intervention: 4.22&#xa0;&#xb1;&#xa0;4.30 vs. control: 21.56&#xa0;&#xb1;&#xa0;11.81, p&#xa0;<&#xa0;0.001) and the total dermatological quality of life score (intervention:5.09&#xa0;&#xb1;&#xa0;6.19 vs. control:30.85&#xa0;&#xb1;&#xa0;10.17, p&#xa0;<&#xa0;0.001). CONCLUSIONS: Counseling based on positive psychotherapy has been shown to improve people's quality of life while lowering anxiety and urticaria symptoms. This study demonstrates how these treatments can enhance the quality of life for patients with chronic urticaria by lowering their anxiety and illness symptoms.

Humans

Early and late CTCAE and patient-reported outcomes following lung cancer radiotherapy: A sex-stratified descriptive analysis from the REQUITE cohort.

BACKGROUND: Long-term prospective data on lung cancer patients treated with radiotherapy are limited, restricting understanding of outcomes and sex-specific characteristics. The multicentre REQUITE study provides standardized follow-up data from an international cohort. METHODS: We analysed longitudinal data from 530 lung cancer patients treated with radical radiotherapy (sequential or concurrent chemoradiotherapy, or stereotactic body radiation therapy [SBRT]) between 2014 and 2017 at 16 centres in Europe and the USA. Healthcare professionals prospectively recorded 21 pulmonary, oesophageal, neurological, cardiac, and skin adverse events using CTCAE v4.0. Patient-reported outcomes assessed symptoms, quality-of-life, fatigue, and physical activity. Adverse event incidence was stratified by sex, radiotherapy technique, chemotherapy administration, smoking status, and other clinical factors. RESULTS: At 12&#xa0;months, 309 patients were evaluable, with 151 having follow-up beyond one year. Pulmonary adverse events were most frequent (40% grade&#xa0;&#x2265;&#xa0;2), mainly dyspnoea and cough. Women had higher rates of oesophagitis, and more frequently reported dysphagia, and chest wall pain, while men experienced a higher frequency of cardiac adverse events. Exploratory subgroup analyses identified significant sex-related differences in grade&#xa0;&#x2265;&#xa0;3 pulmonary adverse events following SBRT and in overall grade&#xa0;&#x2265;&#xa0;2 oesophageal adverse events among patients with clinical stage I-II and those aged >70&#xa0;years. Patient-reported outcomes showed persistent fatigue and reduced physical activity, particularly in females. Symptom prevalence and severity varied by sex, age, treatment modality, smoking status, and clinical stage. CONCLUSION: The REQUITE-Lung cohort provides prospectively collected real-world data on radiotherapy-related adverse events in lung cancer patients. This study describes patterns of adverse events and patient-reported outcomes according to sex, age, and treatment characteristics. These findings are hypothesis-generating and may support future validation in independent and pooled datasets.

Patient-reported outcomes

The impact of the COVID-19 pandemic on osteoporotic fractures: a systematic review and meta-analysis.

BACKGROUND: Recent reports suggest that the COVID-19 pandemic and associated lockdowns may have influenced the epidemiology of osteoporotic fractures, but results vary across regions and fracture types. The aim of this study was to provide evidence-based insights into the impact of the pandemic on osteoporotic fracture incidence. METHODS: We searched four databases (PubMed, Embase, Cochrane Library, and Web of Science) up to August 2025 for observational or retrospective studies comparing osteoporotic fracture incidence during the COVID-19 pandemic (2020) with the pre-pandemic period (2019). The primary outcome of interest was the change in fracture incidence, analysed using risk ratios (RR) with 95% confidence intervals (CI) in Review Manager 5.4. Subgroup analyses were performed by sex, geographic region, and fracture type. RESULTS: Nine studies meeting the inclusion criteria were analysed. Overall, "all types" of osteoporotic fractures showed a significant decrease during the pandemic (RR = 0.85, 95% CI 0.80-0.91, p&#x2009;<&#x2009;0.0001). Specifically, forearm fractures decreased significantly (RR = 0.87, 95% CI 0.79-0.96, p&#x2009;=&#x2009;0.002). However, for the most clinically significant fractures, no statistically significant global change was found for hip fractures (RR = 0.93, 95% CI 0.76-1.15, p&#x2009;=&#x2009;0.14) or vertebral fractures (RR = 1.35, 95% CI 0.85-2.15, p&#x2009;=&#x2009;0.20). In regional subgroup analysis, hip fracture incidence decreased significantly in South America (RR = 0.79, p&#x2009;=&#x2009;0.0004) and in both males and females, but no significant change was observed in Europe (RR = 0.92, 95% CI 0.81-1.04, p&#x2009;=&#x2009;0.17). CONCLUSION: During the COVID-19 pandemic, there was a decrease in the incidence of minor fractures, such as those of the forearm, likely due to reduced outdoor activity. However, the incidence of major osteoporotic fractures (hip and vertebral) remained stable globally, with significant reductions observed only in specific regions like South America.

Humans

Effectiveness of artificial intelligence in nursing simulation education: A systematic review, meta-analysis and bibliometric visualization analysis.

OBJECTIVES: To synthesize the roles and core functions of AI in nursing simulation education for nursing students via systematic review, quantitatively evaluate its effects on students' knowledge and skill outcomes through meta-analysis, and map the research landscape and development trends of this field through bibliometric visualization analysis. DESIGN: Systematic review, meta-analysis and bibliometric visualization analysis. DATA SOURCES: Eight electronic databases: PubMed, Web of Science, MEDLINE, ERIC, Academic Search Complete, China National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Chinese Science and Technology Journal Database (VIP) were employed to search studies from the time of construction to 16 December 2025. REVIEW METHODS: Studies meeting the inclusion criteria were screened. The revised Cochrane Risk of Bias tool (ROB 2) and Joanna Briggs Institute (JBI) critical appraisal checklists were used for quality assessment. Meta-analysis was performed with Review Manager 5.4, and bibliometric visualization analysis was conducted using VOSviewer 1.6.20 and Bibliometrix (based on R4.4.3). RESULTS: A total of 61 studies were included. AI primarily played two roles in nursing simulation education: peer-type new subject (n&#xa0;=&#xa0;24) and direct mediator (n&#xa0;=&#xa0;22). Meta-analysis showed that AI interventions significantly improved nursing students' knowledge (SMD&#xa0;=&#xa0;1.49, 95% CI [0.55,2.43], p&#xa0;=&#xa0;0.002) and skills (SMD&#xa0;=&#xa0;0.66, 95% CI [0.02,1.31], p&#xa0;=&#xa0;0.04). Bibliometric analysis identified that the United States of America and China were the two main contributing countries in this field, and the key motor themes included generative artificial intelligence, virtual patients, and geriatric care. CONCLUSIONS: AI exerts positive effects on nursing students' knowledge acquisition and skill enhancement in simulation education, with peer-type new subject and direct mediator as the dominant roles. Future research should focus on expanding AI applications in multi-specialty simulation scenarios, activating the data-driven value of machine learning, and strengthening international collaboration and standardization construction, so as to promote the sustainable development of AI-integrated nursing simulation education.

Humans

Evaluating a culturally adapted question prompt list to improve end-of-life communication among indonesian migrant caregivers: A randomized controlled trial with qualitative insights.

OBJECTIVE: Indonesian caregivers serve as essential providers of end-of-life (EOL) care in Taiwan. But often face communication challenges due to language, cultural, and hierarchical barriers. This study evaluated the effectiveness of a culturally adapted Question Prompt List (QPL). METHODS: This study employed a two-arm randomized controlled trial design supplemented with qualitative interviews. The study was conducted in a hospice ward and home care setting within a medical center in Taiwan. A total of sixty Indonesian caregivers were recruited and randomly assigned to either the intervention group (n&#x202f;=&#x202f;30) or the control group (n&#x202f;=&#x202f;30). The intervention group received routine end-of-life (EOL) education along with a culturally adapted Question Prompt List (QPL), which consisted of 37 items covering domains including the dying process, emotional support, communication, symptom management, and care decision-making. The control group received routine EOL education. Outcome measures included caregiving preparedness, communication self-efficacy, satisfaction, and question-asking behavior. In addition, semi-structured interviews were conducted with eight participants, and the data were analyzed using thematic content analysis. RESULTS: Analysis of covariance revealed no statistically significant between-group differences in caregiving preparedness (F = 1.58, p&#x202f;=&#x202f;.215 [-0.41, 0.44]) or communication selfefficacy (F = 0.83, p&#x202f;=&#x202f;.366 [-0.44, 0.79]). However, communication satisfaction was significantly higher in the intervention group (F = 4.19, p&#x202f;<&#x202f;.05 [0.04, 0.44]). The number of questions asked was also significantly higher in the intervention group (t&#x202f;=&#x202f;-4.35, p&#x202f;<&#x202f;.001 [-5.41, -1.98]). Thematic analysis of qualitative data identified 4 themes and 14 subthemes, illustrating how the QPL reduced anxiety, clarified care needs, and improved confidence. CONCLUSIONS: A culturally adapted QPL can enhance communication engagement and satisfaction among migrant caregivers. PRACTICE IMPLICATIONS: Integrating culturally tailored QPLs into caregiver education and palliative care practice may promote more inclusive and effective communication.

Humans

Intravenous lidocaine reduces the propofol EC50 for loss of consciousness and intraoperative anesthetic consumption in gynecological laparoscopy: A randomized controlled trial.

BACKGROUND: Intravenous lidocaine reduces propofol requirements and procedure-related adverse events. OBJECTIVES: The study aimed to test whether intravenous lidocaine would reduce the effect-site concentration of propofol required to achieve loss of consciousness and decrease propofol consumption during total intravenous anesthesia in gynecological laparoscopy. METHODS: This was a prospective, randomized, double-blind, placebo-controlled trial. Sixty patients were randomly allocated to receive either intravenous lidocaine (1.5 mg&#xb7;kg-&#xb9; bolus) followed by continuous infusion or an equal volume of saline. Propofol was administered via target-controlled infusion starting at an effect-site concentration of 3.5 &#x3bc;g/mL. The concentration was then adjusted in steps of 0.5 &#x3bc;g/mLaccording to Dixon's up-and-down sequential method: decreased if loss of consciousness was achieved, or increased if not. Loss of consciousness was defined as loss of response to verbal commands. The median effective concentration (EC50) of propofol for inducing loss of consciousness was calculated using the Dixon's up-and-down method. General anesthesia was maintained with propofol and remifentanil, guided by state entropy (target 40-60) and surgical pleth index (target 20-50). Drug consumption was normalized to anesthesia duration and body weight. RESULTS: The estimated EC50 of propofol for inducing loss of consciousness was significantly lower in the lidocaine group than in the saline group (3.32 &#x3bc;g/mL, 95% Confidence Interval (CI): 3.04-3.59 vs. 3.89 &#x3bc;g/mL, 95% CI: 3.50-4.28). Under the study protocol, the lidocaine group also required less propofol (8.62 mg&#xb7;kg-1&#xb7;h-1, 95% CI: 8.10-9.15 vs. 9.89 mg&#xb7;kg-1&#xb7;h-1, 95% CI: 9.05-10.73) and less remifentanil (0.23 &#x3bc;g&#xb7;kg-1&#xb7;min-1, 95% CI: 0.21-0.24 vs. 0.27 &#x3bc;g&#xb7;kg-1&#xb7;min-1, 95% CI: 0.24-0.30) compared with the saline group. CONCLUSION: Intravenous lidocaine reduced the propofol EC50 for Loss of Consciousness (LOC) and decreased intraoperative propofol and remifentanil consumptions in patients undergoing gynecological laparoscopy. These findings suggest a propofol- and opioid-sparing effect of intravenous lidocaine in this setting, although confirmation in larger multicenter trials is needed.

Humans

Hysteroscopic platelet-rich plasma and medically assisted reproduction outcomes: a systematic review and SWOT analysis.

BACKGROUND: Platelet-rich plasma (PRP) has been proposed as an adjuvant treatment in reproductive medicine. While most evidence refers to blind intrauterine instillation, subendometrial administration under hysteroscopic guidance allows targeted delivery under direct visualisation. This systematic review aimed to synthesise the available evidence on hysteroscopic PRP administration and its impact on clinical medically assisted reproduction (MAR) outcomes. METHODS: A systematic search was conducted from inception to December 2025 across major databases. Studies were included if they evaluated hysteroscopic PRP administration in women undergoing MAR, comparing reproductive outcomes between treated and control groups. RESULTS: Out of 142 records, 3 studies met the inclusion criteria. Study populations were heterogeneous and included women with refractory thin endometrium and/or a history of implantation failure. Hysteroscopic PRP administration protocols varied in timing, technique, and dosage. In a prospective case-control study, hysteroscopic intraendometrial PRP injection at a depth of 2-3&#x2009;mm in the four uterine walls, using an ovum aspiration needle, on days 11-13 of the cycle prior to euploid frozen embryo transfer (ET), was associated with higher implantation (IR), clinical pregnancy (CPR), and live birth rates (LBR) compared with standard therapy. Conversely, no significant differences in CPR, miscarriage rate, or LBR were observed in an observational study evaluating a single intraendometrial PRP injection (35-40&#x2009;mL, 2-3&#x2009;mm depth), administered via endoscopic needle on days 6-8 of the menstrual cycle preceding frozen ET, alone or after electrical impulse therapy. A randomised controlled trial in women undergoing intrauterine insemination reported a significant improvement in CPR following hysteroscopic subendometrial PRP instillation in the four uterine walls (1.0&#x2009;mL each). CONCLUSIONS: Current literature on hysteroscopic PRP administration in reproductive medicine is limited, and robust conclusions cannot yet be drawn. Well-designed randomised controlled trials with standardised protocols are needed to clarify its clinical role.

Humans

Prevalence and pattern of psychological symptoms in form of dental fear and anxiety in children and adolescents with traumatic dental injuries: a systematic review.

BACKGROUND/AIMS: This systematic review aimed to evaluate the level and pattern of dental fear and anxiety (DFA) amongst children and adolescents with traumatic dental injuries (TDI) and, where available, to compare these outcomes with non-traumatised controls. METHODS: An a priori protocol was developed and registered in PROSPERO (CRD420261329946). A comprehensive literature search was conducted in PubMed, EMBASE, Web of Science, and Scopus on 3 March 2026, with additional grey literature, citation, and reference searching. No language or time restrictions were applied. Observational clinical studies assessing DFA in individuals with TDI using validated tools were included. Two reviewers independently screened studies, extracted data, and assessed risk of bias using the Joanna Briggs Institute checklist. Certainty of evidence was evaluated using the GRADE approach. RESULTS: A total of 2885 records were identified, of which 4 cross-sectional studies met the inclusion criteria after screening. Studies were conducted in Croatia and Kosovo and included paediatric populations. Sample sizes ranged from 147 to 505 participants. Different validated scales (CFSS-DS, CDAS, S-DAI) were used to assess DFA. Overall, children with TDI demonstrated predominantly low levels of dental fear and anxiety across assessment tools. However, findings were inconsistent, with some studies reporting lower or similar anxiety levels in TDI patients compared to controls. Risk of bias was moderate or high in three of the four studies, and the overall certainty of evidence was rated as low to very low due to methodological limitations, heterogeneity, and imprecision. CONCLUSION: The limited available evidence suggests that children and adolescents with TDI do not consistently present with higher levels of dental fear and anxiety than non-traumatised controls. These findings indicate that TDI does not inherently cause DFA, underscoring the critical role of empathetic behaviour support in mitigating post-traumatic dental fear. However, the evidence is based on a small number of regionally concentrated cross-sectional studies with low to very low certainty. Future prospective studies using standardised TDI classifications, validated DFA instruments, and clearly defined assessment time points are needed.

Dental anxiety

Effect of adding umbilical cord blood derived stem cells to haploidentical stem cell transplant (haplo-cord) on post-transplant survival and graft-versus-host disease in patients with hematological malignancies: A systematic review and meta-analysis.

BACKGROUND AND OBJECTIVES: Haploidentical stem cell transplantation (haplo-SCT) carries a substantial risk of graft-versus-host disease (GvHD), whereas umbilical cord blood (UCB) transplantation offers lower GvHD risk but slower engraftment. The haplo-cord approach combines both graft sources, aiming to mitigate GvHD while ensuring timely engraftment. This meta-analysis compares haplo-cord transplantation with haplo-SCT alone for the treatment of hematological malignancies. METHODS: Four electronic databases and two clinical trial registries were systematically searched. Effect sizes from eligible studies were pooled using odds ratios (ORs) for dichotomous outcomes and hazard ratios (HRs) for time-to-event outcomes. RESULTS: Twelve studies met the inclusion criteria. Haplo-cord was associated with a statistically significant reduction in chronic GvHD (OR&#xa0;=&#xa0;0.62, 95%-CI: 0.42-0.93), while no significant difference was observed for grade II-IV acute GvHD (OR&#xa0;=&#xa0;0.75, 95%-CI: 0.52-1.09). Survival outcomes favored haplo-cord, with lower HRs for overall survival (HR&#xa0;=&#xa0;0.68, 95%-CI: 0.53-0.86) and event-free survival (HR&#xa0;=&#xa0;0.61, 95%-CI: 0.52-0.72), while non-relapse mortality was not significant. Relapse at 3&#xa0;years was significantly lower with haplo-cord (OR&#xa0;=&#xa0;0.54, 95%-CI: 0.35-0.82). Haplo-cord also demonstrated higher day-30 engraftment, along with lower relapse-related and GvHD-related mortality, while CMV and EBV viremia showed no difference between groups. CD34 selection in the haplo graft significantly influenced effect sizes and heterogeneity in both subgroup analyses and meta-regression for acute GvHD. CONCLUSION: Haplo-cord transplantation improves GvHD outcomes, survival, and relapse risk compared with haplo-SCT alone. However, whether protocol optimization, possibly via CD34 selection, confers additional benefit remains uncertain and requires confirmation in future studies.

Humans

Evaluation of pilocarpine effects on sweat proteome.

BACKGROUND: Sweat is increasingly recognized as a valuable, non-invasive biofluid for biomarker discovery, yet its composition depends on the stimulation method. This study aimed to determine how pharmacological induction with pilocarpine compares to physiologically induced sweat through exercise in shaping the sweat proteome. RESULTS: We analyzed thermoregulatory sweat from exercise, pilocarpine-induced sweat, and combined pilocarpine plus exercise sweat. Total protein concentrations were similar across conditions, but pilocarpine markedly increased proteomic diversity, with combined pilocarpine plus exercise sweat showing the highest number of identifications. The core sweat proteome remained stable, while pilocarpine selectively enriched low-abundance proteins involved in vesicular trafficking, cytoskeletal remodelling, and metabolism. Proteins linked to the canonical M3-Gq-PLC-Ca2+ pathway, including AQP5, CALML5, and CLIC1, were consistently enriched, confirming cholinergic activation. Pilocarpine-induced sweat also contained plasma-derived and immune-related proteins, reflecting enhanced secretion and reduced ductal reabsorption. CONCLUSIONS: Exercise yields a physiologically relevant but less complex proteome, pilocarpine-induced sweat produces a pharmacologically enriched yet biased profile, and combined pilocarpine plus exercise sweat maximizes protein detection at the expense of interpretability. These findings highlight the critical impact of stimulation paradigm on sweat proteomics and provide a reference framework for biomarker research. SIGNIFICANCE: This study employed LC-MS/MS to systematically characterize eccrine sweat and delineate how stimulation paradigms-exercise, pilocarpine, and their combination-shape its proteomic landscape. By demonstrating that pharmacological induction profoundly alters protein diversity and composition compared to physiologically induced sweat, these findings establish a critical benchmark for sweat-based biomarker research and highlight the need for paradigm-aware sampling strategies in clinical and translational contexts. Nonetheless, several methodological constraints warrant consideration: the limited sample size (five individuals per group), the exclusive inclusion of women under combined oral contraceptive treatment (21 active pills followed by 7 pill-free days), which restricts extrapolation to naturally cycling women, and the focus on healthy young adults (18-25&#xa0;years), limiting generalizability to older or clinically heterogeneous populations. Despite these limitations, this work provides a foundational framework for optimizing sweat collection protocols and advancing precision approaches in non-invasive diagnostics.

Pilocarpine

User Engagement and Feature Preferences in an AI-Powered mHealth Intervention for Diabetes Prevention: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Prediabetes is highly prevalent and increasing globally, yet lifestyle interventions remain underused. AI-driven mobile health (mHealth) tools can help scale diabetes prevention efforts, but the key factors driving their success are not well understood. OBJECTIVE: This post hoc secondary analysis of a randomized controlled trial (RCT) aimed to characterize the most valued features and the role of user engagement in outcomes of a fully automated mHealth intervention for diabetes prevention. METHODS: Data from 151 participants with prediabetes and overweight or obesity who were assigned to an AI-based diabetes prevention program (Sweetch) in a parent RCT (NCT05056376) were analyzed. Engagement (defined as the total number of days the app was used) was categorized into tertiles (low, medium, and high). Baseline characteristics were compared across engagement groups using ANOVA, Kruskal-Wallis, and chi-square tests, and regression models assessed the association between engagement and achievement of diabetes risk reduction outcomes (&#x2265;5% weight loss, &#x2265;4% weight loss with &#x2265;150 min/week of physical activity, or &#x2265;0.2 percentage point reduction in hemoglobin A1c [HbA1c] at 12 months). Perceived usefulness of intervention features was surveyed at 12 months. RESULTS: Median engagement was 98 (IQR 34-232) days. Older age (P<.001) and lower baseline BMI (P=.04) were significantly associated with higher engagement. Compared with low engagement, high engagement was associated with greater odds of achieving the composite diabetes risk reduction outcome (odds ratio [OR] 2.59, 95% CI 1.11-6.01; P=.03), &#x2265;5% weight loss (OR 3.31, 95% CI 1.16-9.42; P=.03), and &#x2265;0.2 percentage point reduction in HbA1c (OR 3.57, 95% CI 1.19-10.75; P=.02). Participants most frequently rated weight tracking, physical activity tracking, and the digital body weight scale as the features that were most helpful for achieving their health goals. CONCLUSIONS: Higher engagement with an AI-driven intervention requiring no human intervention was associated with improved diabetes risk reduction. Contrary to concerns about lower digital literacy, older adults engaged with the intervention more than younger adults. Features related to weight and physical activity tracking were most valued by patients in the program. TRIAL REGISTRATION: ClinicalTrials.gov NCT05056376; https://clinicaltrials.gov/study/NCT05056376.

Humans