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Infertility treatment in women with epilepsy: A systematic review.

BACKGROUND: The impact of assisted reproductive technologies (ART) on seizure control in women with epilepsy remains incompletely understood. METHODS: A systematic review was conducted according to PRISMA guidelines. EMBASE, MEDLINE, CINAHL, Scopus, and the Cochrane Library were searched from inception to March 2025. Eligible studies included observational studies and case-based reports involving women undergoing infertility treatment. RESULTS: A total of 1216 publications were identified, of which four studies met the inclusion criteria, including case reports, a case series, and a cohort study. These studies included 16 women aged 25-46 years undergoing infertility treatment, all but one of whom had epilepsy. Interventions involved in vitro fertilization (IVF), ovulation induction, and hormonal therapies. Patients were treated with a range of antiseizure medications (ASMs), including carbamazepine, clobazam, lamotrigine, levetiracetam, oxcarbazepine, valproate, and zonisamide, either as monotherapy or in combination. Seizure frequency was generally stable, with most patients maintaining baseline seizure control. Seizure exacerbations were uncommon and primarily associated with hormonal therapy and reduced ASM levels, particularly reduced lamotrigine levels. Reported events included breakthrough seizures in the setting of decreased lamotrigine concentrations, seizure clusters associated with follitropin beta, and a new-onset seizure following dehydroepiandrosterone exposure. Across studies, multiple ART attempts resulted in live births with different ASM regimens, as well as in patients not receiving ASMs. CONCLUSION: Available evidence suggests that ART is feasible in women with epilepsy, with most patients maintaining stable seizure control. Hormonal therapy may affect ASM pharmacokinetics and seizure threshold, thereby warranting close monitoring. Larger prospective studies are needed to better define ASM-specific effects and optimize care.

Humans

Pathways of onward HIV disclosure in relationships among young people living with vertically acquired HIV receiving antiretroviral therapy: A qualitative analysis from the BREATHER Plus trial, South Africa.

For young people living with HIV (YPLHIV) navigating their status since birth, managing onward disclosure of a potentially stigmatising condition in relationships is challenging, and may or may not lead to social support, with implications for wellbeing. In a clinical trial setting in KwaZulu-Natal, South Africa, we investigate how young people living with vertically acquired HIV navigate onward disclosure. Data were from the qualitative component of the BREATHER Plus randomised controlled trial evaluating the efficacy, safety and acceptability of short-cycle dolutegravir/tenofovir-based triple antiretroviral therapy (ART) in young people aged 12-19 years. We analyse data on 35 participants receiving ART engaged in clinical trials at the research site: 29 in longitudinal in-depth interviews (IDIs) and 12 across three focus group discussions (FGDs), including 6 in IDIs and FGDs. The Disclosure Processes Model was applied in the thematic analysis. Pre-disclosure was characterised by social assessments of potential confidants. During disclosure, reciprocal vulnerability and partial information-sharing were employed. Post-disclosure processes entailed linear and non-linear feedback trajectories, impacting future disclosures. The findings show that the study cohort of young people receiving ART navigated many bidirectional disclosure pathways to maintain social connections in relationships, and counselling guidelines need to be responsive to this.

Humans

Effectiveness of different anaesthetic techniques, agents and adjunctive interventions in handling pain during dental treatment of MIH-affected teeth: a systematic review.

BACKGROUND: Molar incisor hypomineralisation (MIH) is frequently associated with hypersensitivity, dental anxiety and reduced efficacy of local anaesthesia, complicating pain control during dental treatment in children. AIM: To evaluate, based exclusively on randomised controlled trials (RCTs), the effectiveness of different local anaesthetic techniques, agents and adjunctive interventions in reducing pain during dental treatment of MIH-affected teeth in children. METHODS: A systematic review was conducted following PRISMA 2020 guidelines and registered in PROSPERO (CRD420251150485). MEDLINE, Cochrane Central, ScienceDirect, SCOPUS, EBSCO, and LILACS were searched up to September 2025. Eligible studies were RCTs involving children and adolescents (6 - 18 years-of-age) with MIH, assessing pain outcomes during dental procedures. Risk of bias was assessed using the Cochrane RoB 2 tool, and certainty of evidence was evaluated using the GRADE approach. RESULTS: Eight RCTs were included. Low-certainty evidence suggested that intraosseous anaesthesia and 4% articaine may reduce intra-operative pain compared with conventional techniques or 2% lidocaine. Adjunctive cryotherapy and pre-emptive ibuprofen showed potential benefits, but evidence was of very low certainty and limited to single trials. Findings for photobiomodulation were inconsistent across studies. Most trials were judged to be at high risk of bias, primarily due to lack of blinding and reliance on subjective pain outcomes. CONCLUSION: Current evidence supporting specific pain management strategies for MIH-affected teeth is limited and of low certainty. Whilst 4% articaine and intraosseous anaesthesia appear promising, well-designed, adequately powered RCTs with standardised pain outcomes are required to inform robust clinical recommendations.

Local anaesthesia

Transcranial Photobiomodulation Variables Assessment Battery: Development and Validation.

Transcranial photobiomodulation (tPBM) response variability is partly driven by biophysical characteristics such as skin tone and hair properties that attenuate photon penetration, and by lifestyle factors including sleep quality, alcohol use, and nicotine consumption that disrupt the mitochondrial and vascular pathways on which tPBM acts. To date, no validated self-report tool exists to capture these moderators systematically. To address this gap, the tPBM Variables Assessment Battery was developed and psychometrically evaluated. It integrates adapted versions of established measures (Brief Pittsburgh Sleep Quality Index, E-cigarette Dependence Scale, Hair Scale Assessment PRO, Monk Skin Tone Scale, and Heaviness of Smoking Index), validated wellbeing evaluators (Ryff's Psychological Wellbeing), and custom measures (Hairstyle Classification, Hair Color Classification). Face and content validity met recommended expert thresholds, internal consistency was acceptable across adapted subscales, and criterion validity analyses confirmed meaningful associations between the lifestyle components and PROMIS-10 global health outcomes. The battery is low-burden, digitally deployable, and psychometrically defensible, offering a practical tool for characterizing the variables most likely to moderate tPBM response in home-use studies.

Humans

A systematic review and meta-analysis of the late positive potential and internalizing psychopathology.

The present study leveraged the Hierarchical Taxonomy of Psychopathology (HiTOP) framework to conduct a systematic meta-analysis to determine the association between the late positive potential (LPP) index of emotional reactivity and internalizing psychopathology. PRISMA guidelines were followed. Articles were identified through PubMed, APA PsycInfo, and Web of Science online platforms in May 2025. Included articles examined associations between the LPP to positive and/or negative stimuli and internalizing psychopathology. Risk of bias and publication bias were assessed. Results were examined for individual disorders, distress and fear subfactors, and the internalizing spectrum using two approaches: standard analyses that examined aggregate effects and hierarchical analyses that examined direct and indirect relationships. We conducted moderator analyses for sample, task design, LPP quantification, and psychopathology measurement. We included 63 studies across 5,360 participants (Mage = 19.65, SD = 11.1; 58.7% female). In standard meta-analyses, depression was associated with a smaller LPP to positive stimuli (r = -.06, 95% confidence interval [CI; -.12, -.003]). Specific phobia was associated with a larger LPP to negative stimuli (r = .21, 95% CI [.02, .37]). Distress was associated with a smaller LPP to both positive (r = -.12) and negative (r = -.11) stimuli when measured via clinical interview, and fear was associated with a larger LPP to negative stimuli (r = .10, 95% CI [.03, .16]). Hierarchical analyses indicated that the depression results were specific to the disorder, whereas the fear disorder-level results were due to the higher order fear subfactor. The LPP demonstrates discriminant relationships with distress and fear disorders and subfactors. Results were largely robust against methodological factors. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Humans

Space to grieve and grow: A systematic review of psychosocial interventions for people newly diagnosed with multiple sclerosis.

OBJECTIVE: This systematic review synthesized evidence from intervention studies published over the past 25 years that aimed to improve coping and psychosocial well-being among individuals early in the multiple sclerosis (MS) disease course. The goal was to evaluate intervention characteristics, theoretical foundations, and psychosocial outcomes, and to identify gaps for future research. METHODS: Following PRISMA guidelines, a comprehensive search was conducted across PubMed, CINAHL, PsycINFO, and Web of Science (2000-2025). Eligible studies included quantitative or mixed-methods interventions that addressed coping or psychosocial well-being among adults newly diagnosed with MS. Data extraction and quality assessment were completed independently by multiple reviewers using the Joanna Briggs Institute Critical Appraisal Tools. RESULTS: Seven studies (n = 345) met inclusion criteria, representing cognitive-behavioral therapy, mindfulness, acceptance-based, and nurse- or peer-delivered interventions. The interval between diagnosis and intervention enrollment ranged from 14 days to >4 years, suggesting different phases of adjustment. All interventions produced significant short-term improvements in at least one psychosocial domain (e.g., anxiety, depression, stress, coping, or illness acceptance). However, sustained effects beyond 6-12 months were inconsistent. Common mechanisms across interventions included enhancing self-efficacy, stress management, and adaptive coping. CONCLUSIONS: The available evidence suggests that brief psychosocial interventions for adults in the early years after MS diagnosis are feasible and may provide short-term benefits for selected psychosocial outcomes. However, the evidence base remains limited, heterogeneous, and preliminary. Future studies should more clearly define diagnosis timing, use adequately powered designs and longer follow-up, and examine mechanisms of change.

Humans

Molecular mechanisms of natural de novo shoot organogenesis and their applications.

Natural de novo shoot organogenesis (DNSO) is the spontaneous regeneration of shoots from wound sites outside the shoot apical region through endogenous developmental programs. This regenerative capacity enables plants to recover from severe tissue damage by re-establishing the shoot-root axis. Here, we review current knowledge about the molecular mechanisms of natural DNSO, focusing on transcriptomic and physiological studies in model plants. Accumulating evidence suggests that natural DNSO proceeds through three sequential phases: (i) early wound responses, characterized by the activation of the WIND1-ESR1 module and the establishment of apical-basal auxin asymmetry; (ii) cellular proliferation driven by metabolic and cell-cycle reprogramming; and (iii) cytokinin-mediated establishment of shoot apical meristem identity. We also discuss how these mechanistic insights have been harnessed for practical applications, including tissue culture-free transformation systems such as the cut-dip-budding (CDB) method, and developmental reprogramming strategies that employ ectopic expression of developmental regulator (DR) genes to induce DNSO in otherwise recalcitrant species. Together, these advances illustrate how understanding natural regeneration can guide the development of simplified, broadly applicable plant transformation technologies.

Plant Shoots

[Analysis of clinical phenotypes and pathogenicity of a c.4476+5G>T variant of SCN1A gene in a Chinese pedigree affected with Genetic epilepsy with febrile seizures plus].

OBJECTIVE: To explore the pathogenicity and characteristics of a heterozygous splicing variant of SCN1A gene in a Chinese pedigree affected with Genetic epilepsy with febrile seizures plus (GEFS+). METHODS: A retrospective analysis was carried out on the clinical data and results of genetic testing of a GEFS+ pedigree consisting of 5 members who had visited the First Affiliated Hospital of Zhengzhou University on July 1, 2024. Pathogenicity of the splicing variant of the SCN1A gene was validated with a minigene splicing assay. This study was approved by the Medical Ethics Committee of the the First Affiliated Hospital of Zhengzhou University (Ethics No.: KS-2018-KY-36). RESULTS: The proband, a 24-year-old female, presented with FS in conjunct with focal seizures, and both of her younger brothers had Dravet syndrome. All of the three patients had carried a c.4476+5G>T variant of the SCN1A gene, which was unreported previously. Minigene experiment verified that the variant could cause loss of the first 7 bps of exon 24 and 138 bps from exon 23 of the SCN1A gene, resulting in alteration p.V1447_1495delfs*6 and affecting splicing. Based on the guidelines from American College of Medical Genetics and Genomics (ACMG), the variant was predicted as likely pathogenic (PVS1+PM2_Supporting). CONCLUSION: The c.4476+5G>T variant at an intronic site of the SCN1A gene probably underlay the pathogenesis of GEFS+ in this pedigree.

Adult

Examining Behavioral Interventions for Infancy and Early Toddlerhood: A Systematic Review of Intervention Effects, Parameters, and Participants.

Rapid advancement is paving the way to identify children who would likely benefit from early intervention during the first years of life, prior to the onset of significant delays in development. With the widely acknowledged benefits of early intervention, key questions arise: Does behavioral intervention targeted to infancy and early toddlerhood improve developmental outcomes? What procedures might be used, and under what circumstances? Who do these interventions work for? The current review comprehensively examined the literature on behavioral interventions based in operant learning, focused on key developmental areas with children in the first two years of life. We located and synthesized 69 studies with unique participant cohorts that included 1735 children. The search revealed many studies focused on the first year of life, of which a large proportion investigated approaches to increase communication. We provide implications, limitations, and future directions on how behavioral interventions for infants and young toddlers can inform current practice and future intervention research this population.

Humans

Metal-organic frameworks nanozyme-integrated portable microneedle patch for visual bacterial monitoring in meat.

Foodborne microbial contamination is a major global health concern, with conventional methods often being time-consuming and complex. Herein, we developed a novel portable biosensor by integrating microneedle patch technology and a metal-organic framework (Fe/Cu-NBDC MOF) nanozyme, enabling rapid, on-site, visual detection of bacteria in meat. The sensing system works by encapsulating aptamer-functionalized MOF nanozymes within a hydrogel patch, where their catalytic sites are initially blocked by the aptamer. In the presence of Staphylococcus aureus (S. aureus) as the target, the specific aptamer's binding to bacteria exposes numerous catalytic sites, further activating the chromogenic reaction of the tetramethylbenzidine‑hydrogen peroxide (TMB-H₂O₂) system, enabling visual detection of S. aureus. The biosensor demonstrates a detection limit of 82 CFU/mL with excellent specificity to successfully apply to commercial mutton. By integrating sampling, enrichment, and visual detection into a single compact device, this platform offers a practical, efficient solution for rapid on-site screening of foodborne pathogens.

Biosensing Techniques

Care navigation for older adults after stroke - A systematic review and meta-analyses to guide social prescribing.

INTRODUCTION: Stroke affects many older people worldwide, and patient navigation and social prescribing (e.g., care navigation) may help recovery. We aimed to synthesize evidence on the effect of care navigation for people living with the effects of a stroke (PLWS) on anxiety, depression, quality of life, and well-being. Our secondary focus was to explore these models in rural settings. METHODS: We conducted a systematic review following guidelines, and searched for peer-reviewed randomized controlled trials for older adults (60 years+ or group mean age in this range) who had a stroke and received patient navigation or social prescribing. Two authors independently screened citations at Level 1 (title and abstract) and Level 2 (full text). The date of the last updated search was December 5, 2025. We synthesized data quantitatively using meta-analyses (random effects model and standard mean difference). RESULTS: We identified 11 studies using patient navigation, but no social prescribing interventions. The total number of PLWS participants at baseline was 7829 with an average mean age of 68 years (43% women). There were no differences between groups for anxiety or quality of life for PLWS, but there was a difference favouring the intervention for depression, although the findings were no longer significant with sensitivity analyses. Thus, results should be interpreted with caution. Only two studies provided data for caregivers, with mixed findings. No studies focused on well-being or rural settings. CONCLUSIONS: Care navigation for PLWS needs more research, including testing social prescribing within stroke rehabilitation in rural and urban locations. SYSTEMATIC REVIEW REGISTRATION: PROSPERO 2025 CRD420251077958.

Aged

Germline variants and impact on lung cancer outcomes following chemotherapy: A systematic review.

BACKGROUND: Lung cancer is the primary cause of cancer deaths in the UK and globally, and the main subtypes are non-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). Many treatment options are available, with platinum-based chemotherapy being a key component for many patients. However, variation in survival outcomes exists among individuals of European ancestry, which makes it important to identify germline genetic variants that help guide decision-making and optimise patient treatment and outcomes. METHOD: A systematic literature search was conducted in PubMed and Web of Science for lung cancer studies investigating the impact of germline genetic variants on systemic anti-cancer therapy (SACT) outcomes in populations of European ancestry. The review was conducted according to the Preferred Reporting Items of Systematic Review and Meta-Analysis (PRISMA) and Synthesis without Meta-Analysis (SWiM) guidelines. RESULTS: A total of 20 studies were included in the review out of 4469 on NSCLC and SCLC, encompassing 3639 patients. The most thoroughly investigated area was NSCLC treated with platinum-based chemotherapy. Genetic variants associated with overall survival and/or progression-free survival included XPD Lys751Gln, XPD Asp312Asn, ERCC1 C118T, and XRCC1 Arg399Gln. For non-platinum-treated NSCLC and SCLC, there was insufficient evidence to conduct a meaningful investigation. CONCLUSION: The XPD Lys751Gln, XPD Asp312Asn, ERCC1 C118T, and XRCC1 Arg399Gln variants showed potential associations with survival outcomes among patients of European ancestry with NSCLC after platinum-based chemotherapy. To support clinical implementation, large real-world pharmacogenomics studies stratified by ancestry are needed to overcome statistical power and heterogeneity limitations.

Humans

Systematic review of machine learning approaches for predicting sickle cell crisis and mortality risk at the climate-health nexus.

BACKGROUND: Sickle cell anemia (SCA) is a severe genetic blood disorder characterized by recurrent vaso-occlusive crises and increased mortality, with the greatest burden occurring in low- and middle-income countries. Climatic and environmental conditions, including temperature variability, humidity, rainfall, air pollution, and seasonal changes, have been associated with disease exacerbation. However, the extent to which these factors have been incorporated into predictive models remains unclear. This study systematically reviews the application of machine learning (ML) models for predicting SCA crises and mortality in relation to climate and environmental factors. METHODOLOGY: The PRISMA guidelines were used, and 34 peer-reviewed studies published between 2005 and 2026 were analyzed to identify the climate variables, ML approaches employed, and predictive performance. The reviewed studies applied a range of ML techniques, including artificial neural networks, random forests, support vector machines, decision trees, logistic regression, and deep learning models. Temperature, humidity, rainfall, wind speed, air quality indicators, and seasonal patterns were the most frequently examined environmental variables. RESULTS: The findings indicate that most existing models rely predominantly on clinical and demographic data, with limited integration of climate information and inadequate representation of high-burden regions, especially Sub-Saharan Africa. Studies incorporating environmental variables reported improved predictive performance and highlighted the potential of climate-informed early warning systems for SCA management. CONCLUSION: The review recommends development of interdisciplinary, climate-aware ML frameworks, expansion of longitudinal environmental datasets, and increased research in underrepresented regions to support climate-resilient and patient-centered SCA care.

Humans

Applications of quantum AI in brain disorder diagnosis: A systematic review.

BACKGROUND AND OBJECTIVE: Brain disorder diagnosis and prediction remain challenging because neuroimaging, electrophysiological, behavioral, and multimodal data are high-dimensional, noisy, heterogeneous, and limited by small clinical cohorts. This systematic review synthesised applications of quantum artificial intelligence (QAI) for brain disorder diagnosis, prediction, detection, and monitoring. METHODS: Following PRISMA guidelines, studies published from 2016 to 13 January 2026 were retrieved from Scopus, Web of Science, and IEEE Xplore. After screening, 36 studies met the eligibility criteria and were qualitatively analysed according to disorder category, data modality, QAI method, implementation setting, validation strategy, and performance. RESULTS: At the broader disease-group level, neurodegenerative disorders were the most frequently investigated, followed by mental health and psychiatric disorders. At the individual level, Parkinson's disease and schizophrenia were the leading applications, followed by depression, anxiety, Alzheimer's disease, and stress-related tasks. MRI-based modalities were the most frequently used data source, followed by multimodal data and EEG. Methodologically, primary QAI approaches were dominated by quantum neural and QDL architectures, followed by quantum-inspired optimization or feature-selection methods and quantum-kernel/conventional QML classifiers. Qiskit/IBM Quantum and PennyLane were the most frequently reported quantum software frameworks. However, most studies relied on simulators, classical quantum-inspired implementations, or unclear implementation settings, with limited real-hardware evaluation. CONCLUSIONS: QAI shows emerging potential for brain disorder analysis, particularly through hybrid quantum-classical learning, quantum neural architectures, quantum-kernel methods, and quantum-inspired optimization. Nevertheless, current evidence remains preliminary and requires larger datasets, subject-level and external validation, fair classical benchmarking, noise-resilient circuits, real quantum hardware evaluation, explainability, and clinical validation.

Humans

Left ventricular hypertrophy in hypertension: a systematic review and meta-analysis of echocardiographic studies published from 2011 to 2025.

AIM: An updated meta-analysis targeting the prevalence of left ventricular hypertrophy (LVH), a cardinal marker of hypertensive heart disease (HHD), over the last 15&#x200a;years is lacking. Thus, we analyzed the literature in order to provide a comprehensive information on LVH prevalence, as assessed by echocardiography, in the hypertensive setting. METHODS: The PubMed, OVID-MEDLINE, and Cochrane Library databases were analyzed to search English-language articles published from 1 January 2011 up to 31 December 2025. Studies were identified by using MeSH terms and crossing the following search items: 'left ventricular hypertrophy', 'left ventricular mass', 'hypertensive heart disease', 'echocardiography', 'hypertension', and 'subclinical cardiac damage'. RESULTS: A total of 51 studies including 74&#x200a;632 hypertensive patients were considered. Overall, the prevalence of LVH in the pooled cohort, defined according to criteria recommended by echocardiographic guidelines, was 36.6% (95% CI: 33.4-40%). Data provided by 18 studies ( n &#x200a;=&#x200a;40&#x200a;108 patients) showed that the probability of having LVH was lower in men than in women (OR&#x200a;=&#x200a;0.62, CI: 0.48-0.80, P &#x200a;<&#x200a;0.0001). Among patients with LVH (17 studies), the risk of concentric LVH was almost twice as high as eccentric (OR&#x200a;=&#x200a;1.94, CI: 1.52-2.49, P &#x200a;<&#x200a;0.0001). CONCLUSION: Our meta-analysis suggests that the high contemporary prevalence of LVH reflects the failure of therapeutic strategies worldwide in the prevention and treatment of HHD. From a clinical perspective, these data imply the need for a more aggressive treatment of hypertension and related cardiovascular risk factors leading to LVH, especially in women.

Humans

A systematic review and meta-analysis to estimate the global prevalence of leptospirosis in sheep.

Leptospirosis in sheep is a zoonotic concern considering sheep may act as potential reservoirs for Leptospira spp. infection to humans. This study aimed to estimate the pooled prevalence of leptospirosis in sheep worldwide. A comprehensive literature search was conducted across databases following PRISMA guidelines. Meta-analyses were performed using a random effect model in R software (version 4.3.1) to calculate pooled prevalence with 95% confidence intervals (CI). Subgroup analyses were performed based on prevalence types, diagnostic methods and continental regions to explore sources of heterogeneity. A total of 138 studies comprising 54,174 samples and 10,299 positive detections were included in this study. The global pooled prevalence of leptospirosis in sheep was 15.69% (95% CI: 12.69-19.25) with overall heterogeneity (I2) 98%. The prediction interval ranged from 1.09% to 75.91%, indicating wide inter-study variability. The seroprevalence was 16.16% (95% CI: 12.91-20.04) and infection prevalence was 12.98% (95% CI: 8.07-20.22), showing no significant difference (P&#xa0;=&#xa0;0.40). In addition, the prevalence of leptospirosis in sheep differed significantly across diagnostic methods and continents (P&#xa0;<&#xa0;0.01), indicating substantial variation influenced by both methodological and geographical factors. The funnel plot revealed marked asymmetry, suggesting potential publication bias which was confirmed by Egger's regression test (P&#xa0;<&#xa0;0.01). In conclusion, leptospirosis is widely prevalent in sheep globally, with marked geographical and methodological heterogeneity. These findings highlight the epidemiological importance of sheep in leptospirosis transmission and underscore the need for improved surveillance, standardized diagnostic approaches, and targeted control strategies within a One Health framework.

Animals

Who Is the Ideal Candidate for High-Definition Liposuction? A Systematic Review and Meta-Analysis.

BACKGROUND: High-definition liposuction (HDL) enhanced muscular definition by selectively removing superficial subcutaneous fat. Despite its growing popularity and high satisfaction rates, no consensus exists regarding the ideal candidate. This systematic review evaluates demographic factors, patient selection criteria, and complication rates associated with HDL. METHODS: A systematic review and meta-analysis were conducted utilizing PRISMA-P guidelines. PubMed, Cochrane Library, Embase, and Web of Science were searched for studies published within the past 10 years. Seventeen studies met inclusion criteria, comprising 9570 patients. Study designs included randomized controlled trials, cohort studies, and observational analyses reporting demographics, procedural details, and complications. Standardized data extraction was performed. Pooled analyses were conducted for hematoma and seroma, and univariable meta-regression assessed associations between mean age, BMI, and proportion of female patients with complication rates. RESULTS: Mean age was 36.0 years and mean BMI was 25.8&#xa0;kg/m 2 (range: 18 to 66); 55% of patients were female. Selection criteria varied; most studies applied BMI thresholds (&#x2264;30 to 34&#xa0;kg/m 2 ) and excluded poorly controlled diabetes, heavy smoking, and thromboembolic history. The abdomen, flanks, and chest were most treated. Mean fat removal was 4268.8&#xa0;mL, with an average operative time of 235 minutes. Complication rates were low; the pooled incidence of seroma was 7% and hematoma was 1%. Meta-regression showed no significant associations between complications and age, BMI, or sex. Patient satisfaction was high. CONCLUSION: HDL is safe and effective across diverse populations; however, variability in selection criteria and reporting limits evidence-based definitions of ideal candidates. Further prospective studies with standardized reporting are needed.

Humans

Molecular Diagnostics for WHO Priority Bacterial Pathogens: A Bibliometric Mapping of Diagnostic Platforms, Resistance Markers, and Antimicrobial Resistance Research Trends.

Antimicrobial resistance (AMR) constrains effective treatment and carries implications for infection control, surveillance, and public health. The World Health Organization (WHO) priority bacterial pathogen framework has intensified the need for diagnostic innovation by redefining research priorities around organisms combining high disease burden with complex resistance profiles. Molecular diagnostics have accordingly moved beyond culture-based workflows, integrating rapid pathogen identification, resistance-marker detection, genomic surveillance, and clinical decision support. The present study conducted a bibliometric mapping of the literature on WHO priority pathogens. Rather than addressing resistance at a general level or a single pathogen or technology, it integrates priority pathogens, molecular platforms, and resistance markers within a single framework, tracing their joint thematic and temporal evolution along an explicit pathogen-platform-marker axis. Scopus-indexed articles and reviews (2000-2025) were retrieved, yielding 1746 publications after screening adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Analyses used Bibliometrix/Biblioshiny, R, and VOSviewer. The literature expanded markedly after 2018, led by China and the United States. Methicillin-resistant Staphylococcus aureus (MRSA), Mycobacterium tuberculosis, Enterococcus faecium, and the Enterobacterales-carbapenemase axis constituted the principal thematic cores, whereas conventional polymerase chain reaction (PCR)/nucleic acid amplification testing (NAAT) and whole-genome sequencing were the dominant platforms. Overall, the field has evolved from pathogen detection into an AMR-centered translational domain encompassing resistance prediction, genomic epidemiology, surveillance, and clinical decision support. Diagnostic development, stewardship, and surveillance depend on hybrid workflows coupling rapid marker-targeted assays with genome-based characterization, delivering actionable resistance within clinically meaningful timeframes, and extending coverage to underrepresented pathogens and platforms.

Humans