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PubMed2026

Current Concepts and Emerging Technologies in Aesthetic Outcome Assessment of Breast Reconstruction.

Aesthetic outcomes are a crucial determinant of the overall success of breast reconstruction. Recently, aesthetic assessment has evolved from relying mainly on subjective impressions to incorporating more quantitative methods. This systematic review summarizes current concepts and emerging technologies in aesthetic outcome assessment after breast reconstruction. A comprehensive search of studies evaluating aesthetic outcomes following implant-based, autologous or hybrid breast reconstruction was performed between 2000 and 2025. Assessments were classified as subjective or objective. Extracted variables included assessment characteristics, aesthetic outcome domains, and patient-centered outcomes. Risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. Levels of evidence were classified according to the Oxford Centre for Evidence-Based Medicine. A total of 51 studies involving 7711 participants from 16 countries were included. Subjective tools were most frequently employed, led by the BREAST-Q (35/51, 69%), followed by expert- or panel-based evaluations (17/51, 33%) and the visual analog scale (2/51, 4%). Objective methods were applied in 19 studies and included 3-dimensional surface imaging (8/51, 16%), BCCT.core (7/51, 14%), eye tracking (3/51, 6%), and artificial intelligence-based analyses (3/51, 6%). Although subjective tools captured satisfaction with breast appearance, objective tools quantified morphological parameters and positional landmarks. BREAST-Q remains the cornerstone of outcome evaluation after breast reconstruction, providing patient-centered perspectives, including, but not limited to, aesthetic perception. A progressive shift toward multimodal evaluation was noticed, as no single modality comprehensively addressed all aesthetic domains. Future research should focus on integrating subjective and objective assessment methods within a unified framework. Level of Evidence: 3 (Therapeutic) For image description, please refer to the figure legend and surrounding text.

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PubMed2026

Toward real-time quantification of driving risks: a systematic review and research agenda of risk field theory.

In complex traffic systems, driving risk often evolves in a continuous and progressive manner prior to crash occurrence. How to effectively represent and analyze such latent risk states remains a central challenge in traffic safety research. In recent years, risk field-based approaches have introduced spatial and spatiotemporal continuous modeling paradigms, providing new perspectives for characterizing the distribution of traffic risk and its dynamic evolution. Motivated by the rapid growth of this research area and the lack of a systematic synthesis, this paper presents a comprehensive review of studies applying risk field theory to driving safety and traffic risk analysis. Following the PRISMA guidelines, relevant literature was collected through multi-database searches and analyzed using a combination of bibliometric analysis and qualitative review. The review systematically summarizes the theoretical foundations, modeling elements, data sources, analytical methods, and application domains of risk field-related research. Particular attention is given to studies that conceptualize traffic risk as a continuous field, complemented by a broader review of traffic risk factor literature to identify key elements and analytical dimensions involved in risk field modeling. On this basis, the paper synthesizes research progress in major application areas, including traffic safety state representation, driving behavior analysis, traffic conflict assessment, and autonomous driving and human-machine cooperative systems. Differences and commonalities among existing studies are compared in terms of modeling strategies, data support, and application scenarios. Through this systematic review, the paper clarifies the main research themes and methodological trends of risk field-based studies, providing a structured framework for understanding the evolution and application of this approach and offering methodological insights for risk perception modeling and safety-oriented decision support in intelligent transportation systems (ITS).

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PubMed2026

New Evidence in Heart Failure: 2026 Update.

Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healthcare expenditure worldwide. The global burden of HF continues to increase due to population aging, improved survival, and the growing prevalence of cardiovascular, renal, and metabolic comorbidities. Simultaneously, the pace of scientific progress in HF has accelerated considerably. Recent advances have refined our understanding of HF epidemiology, prognosis, and disease trajectories, including emerging concepts of HF improvement, remission, and recovery. The Second Universal Definition of HF has also updated the classification framework, moving beyond the traditional ejection fraction-based categories. HF is now broadly classified into two major phenotypes: heart failure with reduced ejection fraction (HFrEF) and heart failure with preserved ejection fraction (HFpEF). Novel mechanistic insights highlight the role of inflammation, immune activation, metabolic dysfunction, mitochondrial biology, and multisystem interactions in HF progression. There has also been significant progress in the characterization and management of major comorbidities, including chronic kidney disease (CKD), diabetes, obesity, atrial fibrillation (AF), pulmonary hypertension, frailty, malnutrition, and cancer. Diagnostic innovations include novel biomarkers, multi-omics technologies, artificial intelligence-based approaches, advanced imaging techniques, congestion assessment tools, and emerging digital health solutions. Important advances have occurred in specific HF aetiologies, including cardiomyopathies, cardiac amyloidosis (CA), myocarditis, arrhythmia-induced cardiomyopathy (AiCM), and Chagas cardiomyopathy. Therapeutic developments continue to reshape HF management across the spectrum of left ventricular ejection fraction. Recent evidence has focused on optimization of guideline-directed medical therapy in HFrEF, expansion of evidence-based therapies in HFpEF, and growing roles for sodium-glucose cotransporter-2 inhibitors, finerenone, incretin-based therapies, and transcatheter valve interventions. Collectively, these advances support the transition from a predominantly phenotype-based approach towards a more personalized and biologically informed model of HF care, with the potential to further improve outcomes across the entire HF spectrum.

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PubMed2026

What's the meta now? More updates on the problems with systematic reviews.

BACKGROUND: Systematic reviews are intended to provide trustworthy evidence synthesis, yet previous iterations of this living review have identified numerous recurring problems in their conduct and reporting. This article presents the third version and second update of the living systematic review examining issues raised across the academic literature. METHODS: Using consistent eligibility criteria and methods from earlier versions, literature searches were updated to May 2025. Eligible meta-research and editorial articles describing problems with systematic reviews were analyzed to identify emerging themes. Additionally, four basic indicators of methodological quality of the included meta-research were presented across review versions. RESULTS: The update included 209 additional articles. Critically low methodological quality and absence of protocols remained among the most frequently reported issues in systematic reviews across disciplines and journals but notably in evidence underpinning clinical practice guidelines. Spin in abstracts and conflicts of interest continued to be common. Apparent improvements in reporting quality were inconsistent, with modest gains in some full-text reporting but persistent deficiencies in abstracts. Authorship diversity of systematic reviews improved in gender representation but remained geographically concentrated in high-income countries, and primary research included in reviews similarly lacked global representativeness. The issue of misalignment between systematic review evidence bases and global burden of disease bring the total number of problems with systematic reviews to 69. Emerging use of automation and artificial intelligence was variably reported. Descriptive comparison of meta-research articles over the three versions of this living review suggests a greater proportion meeting basic quality indicators in more recent updates. CONCLUSION: Across successive updates, problems with systematic reviews remain widespread and consistent rather than isolated. Incremental reporting improvements coexist with persistent concerns about transparency, bias, and representativeness. Future efforts should prioritize evaluating interventions and aligning research incentives to support genuinely trustworthy evidence synthesis.

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PubMed2026

Prenatal exposure to indoor PM2.5 and children's cognitive performance at 4 years of age: an observational analysis from the UGAAR randomized controlled trial.

Outdoor fine particulate matter (PM2.5) concentrations during pregnancy are linked to reduced cognitive performance in children. We previously reported that portable HEPA filter air cleaners use during pregnancy improved children's mean full-scale IQ (FSIQ), but no previous studies have evaluated the relationship between indoor PM2.5 during pregnancy and FSIQ in childhood. We conducted an observational analysis using data from the Ulaanbaatar Gestation and Air Pollution Research (UGAAR) randomized controlled trial. Using a previously developed model of weekly indoor PM2.5 concentrations, we estimated the average concentrations in participants' homes over the full pregnancy and in each trimester. When the children were four years old, we measured FSIQ using the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-IV). We used multiple linear regression to assess the adjusted relationships between interquartile range (IQR) contrasts in indoor PM2.5 during pregnancy and FSIQ among 475 mother-child dyads. An 8.8 μg/m3 increase in indoor PM2.5 concentration over the full pregnancy was associated with a reduction of 1.4 points (95% CI: -3.4, 0.6) in mean FSIQ. The strongest association between PM2.5 concentrations and FSIQ was in the first trimester, when a 19.1 μg/m3 contrast was associated with a 2.8-point reduction (95% CI: -5.7, 0.2) in mean FSIQ. Indoor PM2.5, particularly during early pregnancy, may impair brain development, leading to lower mean FSIQ scores in four-year old children. These results, combined with our previous analysis of HEPA filter air cleaners, indicate that reducing PM2.5 exposure during pregnancy has beneficial effects on children's cognitive performance.

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PubMed2026

A narrative review of what cohorts have taught us and how they have laid the foundation for much of our understanding of type 2 diabetes.

This narrative review provides a historical perspective on how observational research on type 2 diabetes has been developed and consolidated over the last 50 years and how well-designed cohort studies will provide us with knowledge for research and practice in the future and aid guideline development. We have included data from a large number of cohorts from every continent that have been used to study the development and/or progression of type 2 diabetes, including cohorts that are general population-based, disease-based, intervention-based and registry-based. We have structured the results from the past 50 years based on the following themes: diagnosis and screening, complications, risk factors and pathophysiology. We also discuss the strengths and weaknesses of observational research when compared with other research designs. Finally, we discuss the emerging and future directions for type 2 diabetes research using cohorts, which include novel developments, such as artificial intelligence, precision health and the exposome. We conclude that cohort research has significantly advanced our understanding of type 2 diabetes and aided guideline development, and complements experimental work, such as human randomised controlled trials and animal studies. Both approaches are essential and complementary in our pursuit to provide a more comprehensive understanding of the development and progression of type 2 diabetes, and to change dogma, practice and policies for better outcomes.

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PubMed2026

Future promise, current clinical ambiguity: a systematic review of machine learning algorithm outputs predicting risk of cardiovascular disease.

OBJECTIVE: To examine whether the outputs of machine learning algorithms designed to predict risk of cardiovascular disease (CVD) address known deficiencies of the Framingham Risk Score (FRS) and improve risk estimates. METHODS: For this critical review, Medline, Embase and IEEE were searched from inception to 1 January 2025. Included were studies describing machine learning algorithms designed to specifically compare output of cardiovascular risk assessment with the FRS. Commentaries, letters, unpublished work or non-peer-reviewed papers were excluded.Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, two reviewers screened titles and abstracts independently, then populated a purpose-built data extraction form. A subsequent qualitative thematic analysis focused on algorithms' strengths, added value, potential harms, unintended consequences and equity implications.The main outcome assessed was whether, among healthy adults, the algorithm improved CVD risk prediction relative to the FRS. RESULTS: Of 707 studies retrieved, 29 met inclusion criteria. 23 reported improved predictive ability relative to the FRS. Most datasets and/or medical records used included sociodemographic predictors of CVD not included among FRS inputs. Some added costly diagnostic tests like CT angiography to FRS screening indicators. When they were defined, inputs and outcomes such as hypertension or myocardial infarction did not always adhere to FRS values. Statistical significance was generally taken as a proxy for clinical significance. Some algorithms overestimated the number at risk compared with the FRS without discussing whether that larger proportion might be at risk of overdiagnosis rather than CVD, while a few decreased the proportion found to be at risk. CONCLUSIONS: Use of artificial intelligence to improve accuracy of risk assessment for CVD demonstrates the technological capacity to merge known sociodemographic predictors with biologic variables and examine non-linear interactions among these. Still needed to achieve patient benefit is clinical insight, adherence to screening principles and cost-benefit assessment of inputs selected.

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PubMed2026

Navigating Social Media: Balancing Connectivity With Media Literacy to Combat Misinformation and Protect Mental Well-Being.

BACKGROUND: The pervasive use of social media has created a complex digital ecosystem where high connectivity coexists with significant challenges, including the rapid spread of misinformation, particularly regarding mental health, and documented negative impacts on psychological well-being. Platform architectures designed for engagement maximization have been identified as central factors in both issues. OBJECTIVE: This paper critically analyzes the interconnected relationships between social media use, misinformation dissemination, and mental health impacts, with particular attention to psychiatric misinformation across diagnostic categories (e.g., depression, anxiety, ADHD). A primary objective is to evaluate the potential of advanced critical digital literacy frameworks to serve as protective mechanisms against these dual threats. METHODS: A systematic search was conducted following PRISMA 2020 guidelines across APA PsycInfo, PubMed, JSTOR, and Google Scholar for literature published between January 2018 and March 2026 (updated from the original 2023 search). The search yielded 2672 records. After removing 624 duplicates, 2048 records underwent title and abstract screening, with 1802 excluded. The remaining 246 full-text articles were assessed for eligibility, resulting in 86 studies included in the final qualitative synthesis. Inter-rater reliability was established (Cohen's κ = 0.82). Quality assessment was conducted using the Joanna Briggs Institute Checklist, AXIS, and CASP tools, with findings weighted by methodological quality. A thematic analysis was undertaken to synthesize findings. RESULTS: The analysis reveals that core architectural features of social media platforms, algorithmic curation and engagement-based metrics, simultaneously foster environments ripe for misinformation spread and contribute to psychological distress, including anxiety, depression, and harmful social comparison. Psychiatric misinformation specifically (e.g., inaccurate claims about treatment effectiveness, diagnostic criteria, and medication side effects) represents a growing concern, particularly on image- and video-based platforms. The findings indicate that conventional media literacy approaches focused solely on fact-checking are insufficient. Instead, a critical digital literacy framework encompassing algorithmic awareness, data literacy, and emotional awareness is essential for building user resilience, with evidence from high-quality systematic reviews supporting this approach. CONCLUSIONS: Navigating the complexities of modern social media requires an integrated approach combining "pedagogies of play" for experiential skill development with advocacy for structural change (e.g., algorithmic transparency, well being by design principles). This dual strategy empowers individual users to critically engage with digital content while advocating for ethical platform design, thereby safeguarding both mental well-being and democratic discourse. Implications for educators, mental health professionals (including competencies for addressing patient encounters with psychiatric misinformation), policymakers, and platform designers are discussed.

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PubMed2026

[Efficacy and safety of acute-phase transcutaneous auricular vagus nerve stimulation for herpes zoster-related pain in middle-aged and elderly patients with comorbid depression and anxiety].

Objective: To evaluate the efficacy and safety of transcutaneous auricular vagus nerve stimulation (taVNS) during the acute phase in middle-aged and elderly patients with herpes zoster (HZ) comorbid depressive and anxiety states. Methods: This was a randomized controlled trial. Forty middle-aged and elderly patients with acute-phase HZ who attended the Department of Dermatology at Xuanwu Hospital, Capital Medical University, from June 2024 to June 2025 were enrolled and randomly assigned in a 1∶1 ratio using a random number table to receive either taVNS (n=20) or sham stimulation (n=20) for 5 consecutive days. Both groups received antiviral therapy and on-demand rescue analgesia. Pain, anxiety/depression, and sleep quality were evaluated using the Visual Analog Scale (VAS), the 4-item Patient Health Questionnaire (PHQ-4), and the Insomnia Severity Index (ISI), respectively. The primary outcome was the incidence of subacute pain at 30 days post-rash onset. Secondary outcomes included cumulative analgesic consumption at 1 and 2 weeks after treatment, the changes from baseline (Δ values) in PHQ-4 and ISI scores at 2 weeks, and the incidence of postherpetic neuralgia (PHN) at 90 days post-rash onset. Results: In the taVNS group, 7 patients (35%) were female, with a mean age of (64.1±9.7) years; in the sham group, 10 patients (50%) were female, with a mean age of (61.5±8.5) years. There were no statistically significant differences between the two groups in baseline VAS, PHQ-4, or ISI scores (all P>0.05). The incidence of subacute pain was significantly lower in the taVNS group than in the sham group [5% (1/20) vs 35% (7/20), RD=-30.0% (95%CI:-52.1%--4.9%); RR=0.14 (95%CI: 0.02-1.06); P=0.044]. At 2 weeks after treatment, the Δ values of PHQ-4 and ISI in the taVNS group were significantly greater than those in the sham group. The proportion of patients taking Lofentadine and the cumulative Lofentadine consumption at weeks 1 and 2 were both lower in the taVNS group than in the sham group (all P<0.05). No serious adverse events occurred in either group, and the difference in PHN incidence between groups was not statistically significant (P>0.05). Conclusions: Acute-phase taVNS appears to be feasible and safe in middle-aged and elderly patients with HZ and comorbid depressive and anxiety, effectively reducing subacute pain and improving emotional and sleep outcomes.

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PubMed2026

Molecular Landscape and Advanced Diagnostic Technologies for BRAF Mutations in Cancer: From Quantitative PCR and ddPCR to CRISPR-Based Platforms.

BRAF mutations are key oncogenic alterations across multiple malignancies, including melanoma, thyroid carcinoma, colorectal cancer, non-small cell lung cancer, glioma, and hairy cell leukemia. The most prevalent variant, BRAF-V600E, induces constitutive activation of the MAPK signaling pathway, promoting tumor progression and influencing therapeutic responsiveness. Accurate detection of BRAF alterations is therefore essential for molecular classification, prognostic assessment, treatment selection, and resistance surveillance. This review summarizes the molecular heterogeneity of BRAF mutations and critically evaluates current diagnostic methodologies. Conventional approaches such as allele-specific PCR and Sanger sequencing are compared with advanced quantitative platforms, including high-resolution melting analysis, droplet digital PCR, and next-generation sequencing, with emphasis on analytical sensitivity, mutation coverage, and clinical applicability. Emerging technologies such as CRISPR-based assays, rolling circle amplification systems, and nanoparticle-based biosensors and point-of-care diagnostic platforms are also discussed for their potential to enhance ultra-sensitive detection, particularly in liquid biopsy settings. These emerging tools are highlighted for their potential to enable ultra-sensitive, rapid, and decentralized mutation detection, particularly in liquid biopsy settings. Key challenges, including intratumoral heterogeneity, low allele-frequency variants, FFPE-associated artifacts, and clonal evolution under therapeutic pressure, are examined within a translational framework. In addition, we examine critical barriers to clinical implementation, including standardization, cost, and global accessibility of molecular diagnostics, and outline potential solutions through scalable technologies and decentralized testing strategies. We propose that optimal BRAF testing requires a mutation subclass-informed and clinically integrated strategy combining comprehensive baseline profiling with longitudinal molecular monitoring. Future diagnostic paradigms will likely integrate multi-omics data and artificial intelligence (AI)-assisted interpretation to refine precision oncology implementation. Looking forward, we propose that optimal BRAF testing will require integration of multi-omics profiling with AI-assisted interpretation, enabling automated variant classification, real-time clinical decision support, and improved prediction of therapeutic response and resistance.

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PubMed2026

[Clinical efficacy and safety of electroacupuncture at the motor area for Parkinson's disease with musculoskeletal pain: a randomized controlled trial].

OBJECTIVE: To observe the clinical efficacy and safety of electroacupuncture (EA) at the motor area for Parkinson's disease (PD) with musculoskeletal pain. METHODS: Fifty-eight patients with PD accompanied by musculoskeletal pain were randomly assigned to an EA group (29 cases, 1 case dropped out) and a sham EA group (29 cases, 1 case dropped out). The EA group was treated with EA at the motor area contralateral to the painful side (for bilateral pain, the left motor area was selected), using disperse-dense wave (2 Hz/20 Hz), with a current intensity of 1-2 mA, and needles were retained for 30 min. The sham EA group was treated with sham EA at non-acupoint area located 5-20 mm posterior to the motor area contralateral to the painful side. The connection mode was the same as that in the EA group, but no electrical current was delivered, and the needles were retained for 30 min. Both groups were treated once daily for 5 consecutive days. Visual analogue scale (VAS) for pain, unified Parkinson's disease rating scale part Ⅲ (UPDRS-Ⅲ), 24-item Hamilton depression rating scale (HAMD-24), Hamilton anxiety rating scale (HAMA), and 39-item Parkinson's disease questionnaire (PDQ-39) scores were evaluated before treatment, immediately after treatment, and at 2 and 4 weeks after treatment completion in the two groups. Safety was also assessed in the two groups. RESULTS: In both groups, VAS scores for pain after treatment and at 2 and 4 weeks after treatment completion were lower than those before treatment (P<0.01, P<0.05). VAS scores for pain in the EA group were lower than those in the sham EA group after treatment and at 2 and 4 weeks after treatment completion (P<0.05). In the EA group, UPDRS-Ⅲ, HAMD-24, HAMA, and PDQ-39 scores after treatment and at 2 and 4 weeks after treatment completion were lower than those before treatment (P<0.05, P<0.01). In the sham EA group, there were no statistically significant differences in UPDRS-Ⅲ, HAMD-24, HAMA, and PDQ-39 scores at any post-treatment time point compared with those before treatment (P>0.05). There were no statistically significant differences in UPDRS-Ⅲ, HAMD-24, HAMA, and PDQ-39 scores between the two groups at any post-treatment time point (P>0.05). No serious adverse events occurred during the trial. CONCLUSION: EA at the motor area could reduce pain intensity in patients with PD accompanied by musculoskeletal pain, and improve pain-related motor symptoms, emotional status, and quality of life, with a favorable safety profile.

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PubMed2026

Epilepsy Is Part of the CNS Phenotype in Classic Infantile Pompe Disease.

BACKGROUND AND OBJECTIVES: Enzyme replacement therapy has not only significantly improved motor outcome and survival in patients with classic infantile Pompe disease, but also revealed previously unrecognized central nervous system (CNS) involvement. In this international study, involving patients from the Netherlands, Italy, Argentina, Germany, the United Kingdom, and Taiwan, we investigated whether epilepsy should be considered part of the CNS phenotype. METHODS: We included patients with classic infantile Pompe disease, defined by the presence of hypertrophic cardiomyopathy, symptom onset < 6 months of age, complete acid α-glucosidase (GAA) deficiency, and/or 2 severe variants in the GAA gene, who developed epilepsy. Data on epilepsy characteristics, electroencephalogram (EEG), cognitive testing, serum neurofilament light chain (NfL), and brain magnetic resonance imaging (MRI) were retrospectively collected. RESULTS: Seventeen patients from 10 centers were identified. The median follow-up duration was 13.7 years (range 3.3-19). Seven patients had deceased at the time of analysis. The median age at first seizure was 11.5 years (range 2.5-17.5). Seizure semiology was variable: six patients experienced generalized tonic-clonic seizures and 3 focal seizures with impaired consciousness only; 6 had multiple seizure types, and 7 experienced seizures during fever or infection. Seizure frequency varied considerably (in 9 occasionally, 5 monthly, 2 weekly, 1 daily). The most common EEG findings were a slowed background activity and focal epileptiform discharges, not substantially activated by sleep. Levetiracetam was most frequently used as antiseizure medication. Overall, 70% of patients became seizure-free. Serum NfL was elevated in all 6 patients in whom it was measured, and 8 of 10 patients had an intelligence quotient ≤66 at onset of epilepsy. Although brain MRI was not always performed at the age of first seizure, 14 of 15 patients showed white matter abnormalities, which were extensive in 11 of 14 (score ≥7/12). Brain atrophy was present in 9 cases and calcifications in 4. DISCUSSION: Our findings suggest a potential increased frequency of seizures in classic infantile Pompe disease in comparison with unaffected children, occurring predominantly after the age of 7, and that epilepsy is part of the CNS phenotype. The risk of seizures should be evaluated during follow-up in long-term survivors with classic infantile Pompe disease.

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