The tetraspanins are closely associated with the development and therapeutic prognosis of colorectal tumors. These proteins play a role in cell proliferation, metastasis, and invasion, regulate apoptosis and autophagy of colorectal tumor cells. affect immune escape by releasing exosomes, intervening the epithelial-mesenchymal transition process, and altering the tumor microenvironment, and enhance tumor stemness through specific pathways. This paper reviews the mechanisms and current research regarding the status of tetraspanins in colorectal cancer, aiming to improve early diagnosis and providing valuable insights for treatment strategies.

Objective:To explore the prognosis and influencing factors of hepatocellular carcinoma patients with negative triple-biomarker after surgery.Methods:Two hundred patients undergoing surgeries for hepatocellular carcinoma with complete clinicopathological data from Lihuili Hospital Affiliated to Ningbo University from January 2020 to December 2021 were retrospectively analyzed, and their clinicopathological features, postoperative recurrence and prognosis were analyzed.Results:Among the 200 hepatocellular carcinoma patients, 54 cases were triple-negative type, 88 cases were protein induced by vitamin K absence-Ⅱ (PIVKA-Ⅱ) type, 51 cases were alpha-fetoprotein (AFP) type and 7 cases were alpha-fetoprotein Lens culinaris aggluyinin-reactive fraction 3 (AFP-L3) type. Due to the limited cases of AFP-L3 type, patients with this type were not included in this study. The recurrence rates were 29.6% (16/54), 40.9% (36/88) and 41.2% (21/51) for tripe-negative type, PIVKA-Ⅱ type and AFP type, respectively, the corresponding median recurrence-free survival time was 25.8, 10.6 and 10.0 months, respectively, and there were statistical differences ( P<0.05). The median overall survival time of tripe-negative type, PIVKA-Ⅱ type and AFP type was 40.7, 40.0 and 36.6 months, respectively, without statistical difference ( P>0.05). Univariate analysis showed that tumor diameter, tumor differentiation degree, and capsule or were not factors affecting patients′ overall survival time after surgery. Postoperative albumin, tumor diameter, tumor differentiation degree, capsule or not, and microvascular invasion were factors affecting patients′ recurrence-free survival time after surgery. Multivariate analysis showed that low tumor differentiation and no envelope were independent risk factors for patients′overall survival time after surgery. Tumor long diameter>5 cm, low differentiation, no envelope, preoperative hypoproteinemia and non-tripe-negative type were independent risk factors for patients′ recurrence-free survival time after surgery. Conclusions:The short-term postoperative recurrence rate for triple-negative hepatocellular carcinoma is low, and the correlation with long-term prognosis remains to be evaluated.

Objective:To describe the hotspots and application trends of artificial intelligence (AI) in epidemiology in the past decade and analyze its advantages and challenges.Methods:The literatures with AI and epidemiology related keywords were systematically retrieved from Web of Science and China National Knowledge Infrastructure from 2014 to 2024. CiteSpace was used for bibliometric analysis of publication volume, keyword co-occurrence, clustering, emergence and cited literature co-occurrence analysis.Results:A total of 5 389 English papers and 1 659 Chinese papers were included, showing an increasing publication trend. High-frequency Chinese keywords included prediction, influencing factor, and machine learning, while English keywords frequently used were machine learning, prediction, and artificial intelligence. The Chinese keywords formed 14 clusters such as epidemiological characteristic, dietary pattern, and elderly individual, and the English keywords formed 21 clusters including prediction model, risk factor, and adult. In international studies, health policy, COVID-19, and digital health were the emerging frontier keywords. Eleven core papers were selected, covering key areas like traffic accident risk assessment, public health big data application, and deep learning in medical diagnosis.Conclusions:This study systematically summarized the research hotspots and development trends of AI applications in epidemiology over the past decade by using bibliometric methods, which indicated that current AI-based epidemiological studies are still in the exploratory phase, with the coexisting of both advantages and challenges. Continued attention should be paid to the future development of this field.

Objective:To investigate the molecular epidemiological characteristics of norovirus (NoV) among infectious diarrhea patients in Linyi from 2021 to 2023, and provide the scientific evidence for norovirus control and prevention.Methods:The epidemiological information and fecal samples of patients with infectious diarrhea in Linyi from 2021 to 2023 were collected and detected by real-time fluorescent quantitative PCR. The RdRp and capsid gene VP1 region of norovirus-positive specimens were amplified and sequenced used to analyze their genotype, phylogeny and homology.Results:Among the 2 311specimens, 123 (5.32%) were positive of NoV, with GI/GII group infection accounted for 17.07% (21/123) and 77.24% (95/123), respectively, GI/GII group mixed infection accounted for 5.69% (7/123). The detection rate of <1 year age group was the highest (8.86%), followed by the 1-3 years group (7.11%, 30/422) and the over 60 years group (5.29%, 23/123). The highest NoV detection rate was 7.96% (45/565) in the urban area, and the most abundant genotypes were found in the northern mountainous area. Sequence analysis showed that 61 identified NoV strains could be divided into 12 genotypes, with 4 NoV GI and 8 NoV GII. The dominant genotype differed during the 3 years, with GII.4 Sydney [P16] in 2021, GII.4 Sydney [P31] in 2022, and GII.2[P16] in 2023.Conclusions:NoV GII group was the main NoV infection in Linyi from 2021-2023 and genotypes were diverse. Children under 3 years of age and elderly people over 60 years old as susceptible groups should be given special protection. In addition, the monitoring of NoV genotype diversification should be strengthened in northern mountainous areas.

Objective:To compare the effects of erector spinae plane block at T 2 (T 2-ESPB) and nerve root block at C 5 (C 5-NRB) in patients undergoing arthroscopic shoulder surgery with general anesthesia. Methods:This was a randomized, controlled, non-inferiority study. Sixty American Society of Anesthesiologists Physical Status classification I or Ⅱ patients, aged 45-75 yr, with body mass index ≤35 kg/m 2, scheduled for elective arthroscopic shoulder surgery at Jining No. 1 People′s Hospital from April 2023 to February 2024, were included and divided into 2 groups ( n=30 each) using a random number table method: C 5-NRB group (group C) and T 2-ESPB group (group T). In group C, C 5-NRB was carried out by injecting 0.5% ropivacaine 5 ml. In group T, T 2-ESPB was performed by injecting 0.25% ropivacaine 30 ml. The efficacy of nerve block was assessed using a prick test at 30 min after administration, and then total intravenous anesthesia was performed in both groups. The time to first rescue analgesia (the non-inferiority boundary Δ =2 h), requirement for rescue analgesia within 24 h after operation and intraoperative consumption of anesthetics were recorded. The motor function of the affected limb during shoulder abduction, elbow flexion and elbow extension was assessed and scored using the modified Bromage scale (MBS) at 30 min and 4 and 12 h after nerve block. The diaphragmatic excursion was measured and recorded using M-mode ultrasound before nerve block and at 30 min after nerve block to evaluate the occurrence of diaphragmatic paralysis. Complications such as local anesthetic toxicity, recurrent laryngeal nerve block and pneumothorax were also recorded. Results:The mean difference (95% confidence interval) for the time to first rescue analgesia between the two groups was 5.551 (1.875-9.148) h, with the upper limit exceeding the non-inferiority boundary. Compared with group T, the intraoperative consumption of remifentanil was significantly reduced, the time to first rescue analgesia was prolonged, the consumption of morphine for rescue analgesia was decreased, MBS scores during shoulder abduction, elbow flexion and elbow extension were decreased at 30 min after block, and MBS scores during shoulder abduction and elbow flexion were decreased at 4 and 12 h after block in group C ( P<0.05). There was no significant difference in the diaphragmatic excursion, incidence of diaphragm paralysis and incidence of complications before and after block in the two groups ( P>0.05). Conclusions:C 5-NRB provides superior efficacy compared to T 2-ESPB when used for arthroscopic shoulder surgery under general anesthesia.

In January 2021, a young male patient was admitted to the Department of Hand Surgery, Suzhou Ruihua Orthopeadic Hospital for a soft tissue degloving defect of distal segment of right thumb caused by machine compression. The thumb defect was reconstructed using a tiled flap with a right hallux nail flap and a lateral flap of left second toe. Donor site of the hallux nail flap was reconstructed by a lateral flap of right second toe, while the donor site of lateral flap of left second toe was covered by a skin graft of abdomen. At 1-year follow-up, the reconstructed nail was found excellent according to the established criteria. Two-point discrimination (TPD) was measured at 5 mm, and the affected thumb exhibited satisfactory flexion and extension and functions of thumb-to-palm and thumb-to-fingers oppositions. Donor sites in both feet achieved favorable appearance and function, with a Maryland foot score of 96. Only a linear scar was in abdominal donor site.

Objective:To explore the impact of the two-way referral model on compliance and prognosis in patients with heart failure.Methods:This bidirectional cohort study enrolled chronic heart failure (CHF) patients treated at Qilu Hospital of Shandong University or designated primary hospitals between March 2018 and March 2022. Patients were categorized into two groups based on referral status: two-way referral group (participating in the referral model with≥1 follow-up visit at primary hospitals) and the core hospital group (receiving treatment and follow-up exclusively at Qilu Hospital). Baseline clinical characteristics were collected and compared between groups. Patients underwent followed-up, with primary endpoints including follow-up rate, drug (β-blockers, angiotension converting enzyme inhibitor (ACEI)/angiotensin Ⅱ receptor blockers (ARB)/angiotensin receptor-neprilysin inhibitor (ARNI), sodium-glucose cotransporter 2 inhibitors and mineralocorticoid receptor antagonists) utilization rate and target dose achievement rate. Secondary endpoints encompassed changes from baseline in left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDd), and N-terminal pro-brain natriuretic peptide (NT-proBNP), plus cardiovascular mortality and heart failure rehospitalization. Generalized linear mixed models analyzed longitudinal trends in LVEF, LVEDd, and NT-proBNP levels. Kaplan-Meier curves and Cox regression evaluated LVEF recovery rates, supplemented by subgroup analyses. Multivariate logistic regression was used to identify factors influencing target dose achievement rate for β-blockers and ACEI/ARB/ARNI therapies in CHF patients.Results:A total of 357 patients were enrolled, aged 53 (41, 63) years, including 256 males (71.7%). 157 patients were in the two-way referral group and 200 patients in the core hospital-treated group. Compared with the core hospital-treated group, the two-way referral group had lower baseline LVEF (28 (22, 34)% vs. 31 (23, 36)%, P=0.021) and systolic blood pressure (116 (104, 125) mmHg vs. 121 (109, 134) mmHg (1 mmHg=0.133 kPa), P=0.010). The 12-month follow-up rate of the two-way referral group was higher than the core hospital-treated group (73.8% vs. 56.0%, P=0.004). No significant between-group differences were observed in drug utilization rate of β-blockers, ACEI/ARB/ARNI, or sodium-glucose cotransporter 2 inhibitors during follow-up (all P>0.05), while mineralocorticoid receptor antagonists use showed a declining trend in both groups. Although the core hospital-treated group had higher target dose achievement rates for β-blockers (65.4% vs. 49.3%, P=0.042) and ACEI/ARB/ARNI (79.8% vs. 65.8%, P=0.046) than the two-way referral group, multivariate logistic regression indicated that the two-way referral model was not a negative predictor for these outcomes (all P>0.05). Both groups showed improved NT-proBNP, LVEDd, and LVEF from baseline (all P<0.001) with no significant difference in trends between groups (all P>0.05). There was no significant difference in the composite incidence (7.6% vs. 6.5%, P=0.674) and cumulative incidence (log-rank P=0.684) of cardiovascular death and heart failure rehospitalization at 12 months between two groups. Conclusion:The two-way referral model demonstrates advantages in improving medication adherence, drug utilization rates, and targetdoseachievement rates among CHF patients. This model not only promotes cardiac functional recovery but also reduces risks of cardiovascular mortality and heart failure rehospitalization, achieving comparable therapeutic and management outcomes to those observed in core hospital-treated patients.

With the rapid increase in the ownership of MRI equipment in China,quality control,particularly in clinical usage aspects,has become critically important.For clinical quality control of MRI systems,it is essential to establish comprehensive workflow principles encompassing multiple elements such as personnel,equipment,standards,tools and methodologies.To advance the standardization and widespread adoption of clinical quality control for MRI equipment,efforts must focus on strengthening regulatory frameworks,advancing phantom research,development and enhancing professional expertise.Concurrently,continuous improvements in training programs and supervision mechanisms are necessary to ensure the effective implementation of MRI clinical quality control practices.Furthermore,in the era of digital healthcare,clinical quality assurance for MRI equipment is evolving toward automation and intelligent solutions,providing higher-quality and more efficient assurance for clinical applications.

Malignant pleural mesothelioma(MPM)is strongly associated with a history of asbestos exposure and is characterized by high malignancy,high mortality,and poor prognosis.Current treatments for MPM are limited and generally suboptimal,resulting in a median overall survival(OS)of approximately one year for MPM patients.However,advancements in treatment options,including surgery,radiotherapy,chemotherapy,immunotherapy and targeted therapy,have brought new hope to patients with MPM.For early-stage MPM patients categorized under the TNM staging system,surgical treatment is feasible and can improve survival rates and quality of life.However,there is still debate regarding the optimal surgical approach for MPM.In addition to surgery,radiotherapy plays a vital role in MPM treatment.It is often used as prophylactic treatment or for alleviating local symptoms in advanced stages.Radiotherapy can also serve as neoadjuvant or adjuvant therapy in surgical contexts.For patients experiencing local progression or isolated distant metastases after systemic treatment,radiotherapy is a viable option.The advent of advanced radiotherapy techniques,such as intensity-modulated radiotherapy(IMRT)and volumetric intensity-modulated arc therapy(VMAT),has significantly improved the precision and efficacy of radiotherapy while minimizing damage to healthy tissues.Furthermore,brachytherapy can relieve pain or act as a localized supplemental therapy.Chemotherapy remains the standard treatment for MPM.The combination of pemetrexed and platinum-based drugs is widely applied as first-line therapy and has been shown to significantly extend survival.However,commonly used second-line regimens often yield suboptimal results.In recent years,immunotherapy has developed rapidly.Dual immunotherapy with nivolumab and ipilimumab has demonstrated impressive clinical efficacy and safety.The combination of immunotherapy and chemotherapy has also notably extended patients'median survival.Multiple clinical trials have confirmed that this combination therapy benefits patients.Currently available targeted therapies for MPM primarily focus on anti-angiogenesis.Bevacizumab combined with chemotherapy has established its position as a first-line treatment.Research on ramucirumab and apatinib suggests that these drugs have certain efficacy and safety profiles.Beyond conventional treatment options,the UV1 cancer vaccine combined with dual immunotherapy offers new hope for patients.Chimeric antigen receptor T(CAR-T)cell therapy is an emerging treatment method being investigated in MPM patients,with phase Ⅰ clinical trials demonstrating good antitumor effects.Additionally,some antibody-drug conjugates are becoming therapeutic options for MPM through precise targeting.Tumor treating fields combined with chemotherapy has also shown efficacy in extending survival.Despite the increasing variety of treatment options for MPM,its diagnosis and treatment still face numerous challenges,including difficulties in early detection,treatment resistance,and a lack of large-scale evidence-based clinical studies.Future research should focus on improving early diagnosis rates,developing new treatment strategies,overcoming resistance,and advancing personalized therapy.Strengthening the integration of basic research and clinical trials will also be essential.Through multidisciplinary collaboration and continuous innovation,it is hoped that more effective and safer treatment options will become available,ultimately improving the prognosis of MPM patients.

Objective:To describe the hotspots and application trends of artificial intelligence (AI) in epidemiology in the past decade and analyze its advantages and challenges.Methods:The literatures with AI and epidemiology related keywords were systematically retrieved from Web of Science and China National Knowledge Infrastructure from 2014 to 2024. CiteSpace was used for bibliometric analysis of publication volume, keyword co-occurrence, clustering, emergence and cited literature co-occurrence analysis.Results:A total of 5 389 English papers and 1 659 Chinese papers were included, showing an increasing publication trend. High-frequency Chinese keywords included prediction, influencing factor, and machine learning, while English keywords frequently used were machine learning, prediction, and artificial intelligence. The Chinese keywords formed 14 clusters such as epidemiological characteristic, dietary pattern, and elderly individual, and the English keywords formed 21 clusters including prediction model, risk factor, and adult. In international studies, health policy, COVID-19, and digital health were the emerging frontier keywords. Eleven core papers were selected, covering key areas like traffic accident risk assessment, public health big data application, and deep learning in medical diagnosis.Conclusions:This study systematically summarized the research hotspots and development trends of AI applications in epidemiology over the past decade by using bibliometric methods, which indicated that current AI-based epidemiological studies are still in the exploratory phase, with the coexisting of both advantages and challenges. Continued attention should be paid to the future development of this field.