Portal vein thrombosis (PVT) frequently occurs in patients with porto-sinusoidal vascular disease (PSVD), but its clinical characteristics and outcomes remain poorly understood. This study aimed to investigate the clinical features and outcomes of PVT in PSVD.

A total of 169 patients with PSVD confirmed by hepatic histology were included. PVT was diagnosed using contrast-enhanced magnetic resonance imaging or computed tomography. Demographic, clinical, and laboratory data, portal hypertension-related complications, comorbidities, and mortality were collected and compared between patients with and without PVT. The primary outcomes were baseline clinical characteristics and liver-transplantation-free mortality; the secondary outcome was the dynamic changes of PVT during follow-up.

At baseline, 45 (26.6%) PSVD patients had PVT. Compared to those without PVT, patients with PVT had significantly higher rates of esophageal variceal bleeding (62.2% vs. 29.0%), ascites (73.3% vs. 35.5%), antithrombin III deficiency (78.1% vs. 38.4%) (all p < 0.001), and a history of hematological disorders (11.1% vs. 0.8%, p = 0.005). After a median follow-up of 40.1 (23.4–62.3) months, liver-transplantation-free mortality rates were 7.9% (3/38) and 1.8% (2/112) in patients with and without PVT, respectively (log-rank p = 0.110). Among 41 patients followed for a median of 17.1 (7.4–39.3) months, PVT resolved in 9.1% (1/11) of those with baseline PVT and developed in 13.3% (4/30) of those without PVT at baseline. The one- and two-year cumulative incidence rates of PVT were 3.3% and 6.7%, respectively.

PSVD patients with PVT experience more portal hypertension-related complications, complex coagulation profiles, hematological disorders, and a higher risk of death compared to those without PVT.

Sedation monitoring is crucial in neurosurgical intensive care units to ensure optimal patient comfort and safety. However, sedation practices vary significantly. This study aimed to evaluate and summarize the evidence related to sedation monitoring in neurocritical care patients, with a focus on identifying best practices for improving monitoring accuracy and patient outcomes.

This study was conducted as an evidence summary, following the evidence summary reporting standards of the Fudan University Evidence-based Nursing Center. The evidence on sedation monitoring management in neurocritical care patients was systematically retrieved using the 6S evidence model, including clinical decisions, best practices, guidelines, expert consensus, evidence summaries, systematic reviews, and more. Searches of domestic and international databases covered all records from the databases’ inception to June 2024. Two researchers independently selected literature that met the inclusion criteria and conducted quality assessment, evidence-level evaluation, and evidence synthesis.

Ten high-quality studies were ultimately included. From these, twenty pieces of best evidence were extracted, covering four categories: monitoring personnel, monitoring targets, monitoring tools, and monitoring timing and content. Among these, fifteen pieces of evidence were classified as strong recommendations, while five were classified as weak recommendations.

This study summarized the best evidence on sedation monitoring for neurocritical care patients, providing guidance for clinical staff to improve sedation monitoring accuracy and patient outcomes in neurosurgical intensive care units.

Terminal ileum intubation is considered the completion step of colonoscopy and is usually performed to assess the ileum. The histological examination of the ileal mucosa, which is acquired during terminal ileum intubation, may allow an accurate diagnosis. However, there is no absolute consensus on when ileoscopy and biopsy should be attempted. As a result, we aimed to evaluate whether terminal ileum intubation and biopsy should be performed routinely.

Systematic searches were performed in the PubMed, EMBASE, and Cochrane Library databases, as well as the Science Citation Index via the Web of Science platform. Reference lists from the identified papers were manually searched. Systematic searches were performed from January 1, 1971, to October 1, 2025. Studies reporting on terminal ileum intubation and biopsy during colonoscopy were included. Case reports, letters, reviews, and animal studies were excluded. The primary outcomes were the diagnostic yield of terminal ileum intubation and the rate of necessitating a change in management. Data were extracted independently by three reviewers.

Thirty-six studies were included. The subtotal diagnostic yield and the rate of necessary change among the selected patients were much greater than those among the unselected patients (5.1% versus 2.5% and 1.5% versus 0.4%, respectively). In addition, the diagnostic yield was found more frequently for inflammatory bowel disease, anemia, abdominal pain, and chronic diarrhea than for the other indications (26.7%, 16.1%, 14.9%, 12.4%, and 3.2%, respectively). The yield of ileal histopathology with a normal endoscopic appearance was low in both unselected and selected patients (3.5% and 2.4%, respectively).

Terminal ileum intubation is recommended as gold standard for completing colonoscopy. Biopsy should be considered in patients with abnormal endoscopic findings or specific high-risk symptoms.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is now considered to be among the most prevalent chronic liver diseases worldwide. Its comprehensive management encompasses multiple stages, including risk assessment, early detection, stratified intervention, and long-term follow-up. Among these, improving diagnostic accuracy and optimizing individualized therapeutic strategies remain key challenges in both research and clinical practice. In recent years, artificial intelligence and smart devices have developed rapidly and have gradually been applied in the medical field, offering novel tools and pathways for MASLD risk stratification, non-invasive diagnosis, therapeutic evaluation, and patient self-management. This review summarizes the current applications of artificial intelligence and smart devices in MASLD care, highlights their benefits and limitations, and discusses future directions to support precision diagnosis and treatment strategies.

Gastric cancer remains a significant global health burden, with limited therapeutic options and poor clinical outcomes. Although conventional treatments such as surgery and chemotherapy are widely used, their effectiveness is often hindered by adverse effects and high recurrence rates, highlighting the urgent need for safer and more effective alternatives. Scleromitrion diffusum (Willd.) (S. diffusum), a well-established anticancer herb in traditional Chinese medicine, has demonstrated promising clinical potential against gastric cancer. This review systematically examines the bioactive components of S. diffusum and their multi-target mechanisms of action against gastric cancer. Key active compounds, including flavonoids, anthraquinones, and terpenoids, have been identified as exerting synergistic anti-gastric cancer effects. These compounds collectively target critical pathways in gastric cancer pathogenesis, including apoptosis induction, suppression of proliferation and angiogenesis, and immune modulation. The mechanistic elucidation presented in this review not only validates the traditional use of S. diffusum in cancer management but also provides a molecular basis for its potential application in precision medicine strategies for gastric cancer. Beyond summarizing existing evidence, this work highlights critical gaps in current knowledge and proposes essential directions for future research, providing important references for integrating traditional medicine with modern oncology approaches.

The history of screening for cervical cancer is rich with implementing cutting-edge ideas and technologies. From the very first “Pap smear” to the semi-automated and computerized systems of today, the way we screen for cervical cancer has changed dramatically in the past 75 years. With the advent of new techniques and more advanced machine learning algorithms, we sought to understand the current and future applications of artificial intelligence in clinical pathology around cervical cancer screening, diagnosis, and treatment.

A structured narrative review was conducted to examine the historical evolution and contemporary advances in cervical cancer screening, diagnosis, excisional management, and artificial intelligence applications. Peer-reviewed articles, consensus guidelines, and global policy documents published between January 1990 and March 2025 were identified through targeted searches of PubMed and review of reference lists from relevant publications. Search terms included combinations of “cervical cancer screening,” “Papanicolaou test,” “liquid-based cytology,” “HPV testing,” “colposcopy,” “loop electrosurgical excision procedure,” “digital pathology,” “deep learning,” and “artificial intelligence.” Emphasis was placed on multi-center validation studies, systematic reviews, regulatory and implementation guidance, and global health frameworks. Publications lacking methodological transparency or direct relevance to clinical or translational practice were excluded.

Through a review of the literature, we describe how innovations in conventional and liquid-based cytology, human papillomavirus testing, and organized screening programs established the current prevention framework. Building on this foundation, recent studies demonstrate promising performance of deep learning algorithms applied to conventionally prepared cervical cytology slides, with systems capable of binary normal versus abnormal classification as well as more granular diagnostic categorization. Artificial intelligence-assisted colposcopy and computer-vision approaches have also shown improved diagnostic concordance, workflow efficiency, and potential to expand screening capacity in resource-limited environments.

There has been much work done in the past several years surrounding the implementation of deep learning algorithms in regard to cervical cancer screening. The work in this field shows promise in enhancing diagnostic accuracy, streamlining diagnostic workflow, and decreasing turnaround times from specimen collection to rendering a diagnosis. However, there are still many technical, legal, and ethical questions that must be answered prior to widespread adoption of these algorithms for patient care.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and chronic kidney disease (CKD) have shown a significant increase in comorbidity on a global scale due to the prevalence of metabolic syndrome. In 2023, a number of academic societies formally proposed the concept of MASLD, superseding the previous terminology of “non-alcoholic fatty liver disease” and “metabolic dysfunction-associated fatty liver disease”. The diagnostic criteria have been revised to place greater emphasis on the association between hepatic steatosis and cardiometabolic risk factors. MASLD constitutes an independent risk factor for CKD, with this risk potentially increasing in line with the severity of fatty degeneration and the progression of hepatic fibrosis. CKD may represent a potential risk factor for the progression of fibrosis in patients with MASLD. The interaction between the two conditions may accelerate the occurrence of cardiovascular events and increase the risk of all-cause mortality. MASLD and CKD may share core pathophysiological mechanisms, including genetic variants, insulin resistance, lipid metabolism disorders, chronic inflammation, oxidative stress, and gut microbiota dysbiosis. However, the bidirectional causal relationship between the two conditions and the molecular dialogue between organs remains unclear. Furthermore, there are significant gaps in clinical prediction tools and targeted treatment strategies for comorbidities. This paper reviews common pathophysiological mechanisms in MASLD and CKD, the epidemiological and clinical evidence linking MASLD to the risk of CKD, biomarkers and clinical prediction models for coexisting conditions, and potential therapeutic strategies. Our aim is to provide a theoretical basis for early identification, mechanism exploration, and clinical treatment of comorbidities.

Regular exercise is fundamental for people with metabolic dysfunction-associated steatotic liver disease (MASLD), yet exercise maintenance is generally poor. This generative co-design process aimed to embed the voices and opinions of people with lived experience of MASLD and their care stakeholders to (i) frame barriers and enablers to exercise maintenance and (ii) highlight priorities for exercise-focused research agendas in MASLD.

A generative co-design framework was applied. Two virtual co-design sessions were undertaken: Session 1 – Framing the issue, where initial discovery was conducted with people with lived experience of MASLD; and Session 2 – Generative design and sharing ideas with lived experience partners and healthcare stakeholders. Sessions were audio-recorded and transcribed, and key determinants and considerations were discerned by two independent researchers.

Lived experience partners (n = 5, 53 ± 16 years, 40% male) ranked five equally important barriers to exercise maintenance: musculoskeletal and pain issues, lack of access to exercise equipment/facilities, cost, competing priorities, and low energy levels, which influenced core positive and negative determinants. Alongside lived experience partners, healthcare stakeholders (hepatologists [n = 3], exercise professionals [n = 3], 67% male) identified three core needs with eight considerations. Some disconnects in priorities were observed. Lived experience partners emphasized affordability, accessibility, and considerations for comorbidities, while healthcare partners advocated for research on natural history, prevention, behavior change, cost-effectiveness, and health system change.

This co-design methodology highlights unique consumer-informed research questions. Exercise interventions and their associated implementation trials will benefit from being co-designed with both people with MASLD and care stakeholders.

Chimeric antigen receptor (CAR)-T cell therapy faces significant challenges in treating solid tumors, including immune evasion, suppressive tumor microenvironments, and on-target/off-tumor toxicity, which limit its clinical efficacy. Although it has revolutionized treatment for hematological malignancies, these obstacles hinder its broader application in solid tumors. Nanotechnology offers innovative strategies to address these limitations through enhanced delivery, localization, and control. This review summarizes recent advances in nanotechnology-assisted CAR-T cell therapies for gynecologic cancers, with a particular focus on messenger RNA (mRNA)-based delivery systems, lipid nanoparticles, hydrogels, and external activation techniques such as photothermal and acoustogenetic modulation. The integration of nanotechnology, especially mRNA-based delivery systems, holds transformative potential for overcoming these barriers. mRNA enables transient, non-integrating expression of CARs, meaning the genetic modifications are temporary. This improves safety and allows flexible control over treatment intensity, while rational sequence optimization (e.g., codon usage, guanine-cytosine content, secondary structure) enhances mRNA stability and protein translation efficiency. Lipid nanoparticles, the leading delivery platform, can be engineered for cell-type specificity and tissue targeting through modulation of their components and surface functionalization. Recent innovations, including siloxane-modified lipid nanoparticles, injectable hydrogels, and photothermal or acoustogenetic activation strategies, enable precise spatiotemporal control of CAR-T cell function in vivo. In ovarian cancer, preclinical studies targeting nfP2X7 and employing multifunctional nanoparticles have demonstrated synergistic efficacy and tumor-specific delivery. This review highlights how nanotechnology platforms can be integrated with CAR-T cell therapies to enhance safety, precision, and therapeutic outcomes in ovarian cancer.

Congenital portosystemic shunts (CPSS) are rare vascular anomalies characterized by abnormal communication between the portal and systemic venous systems, resulting in partial or complete diversion of portal blood away from the liver. These shunts can give rise to a broad spectrum of clinical manifestations, including hyperammonemia (with or without encephalopathy), hepatopulmonary syndrome, and portopulmonary hypertension. Notably, these complications often occur in the absence of portal hypertension. Advances in diagnostic imaging, particularly Doppler ultrasound, computed tomographic angiography, and magnetic resonance imaging, have enhanced the early detection and classification of CPSS. Treatment approaches vary depending on shunt type and clinical severity and may include interventional closure via embolization or surgical ligation. Most persistent or symptomatic shunts require immediate intervention. Recent studies have also identified potential genetic and embryological mechanisms contributing to CPSS development, offering new insights into their pathogenesis. This review aims to summarize current knowledge on the epidemiology, pathophysiology, clinical presentation, diagnostic evaluation, and management of CPSS, and to highlight their consideration in patients with hepatic encephalopathy or unexplained liver disease.