ObjectiveTo develop and validate a diagnostic prediction model for differentiating pulmonary tuberculosis from community-acquired pneumonia based on routine blood parameters. MethodsA total of 642 patients with pulmonary tuberculosis and 503 patients with community-acquired pneumonia were retrospectively enrolled from the Seventh Hospital of Tangshan. They were randomly divided into a training set and an internal validation set at a 7∶3 ratio. Additionally， 218 patients from the 981st Hospital were independently included as an external validation set. The Boruta algorithm and recursive feature elimination were employed to select predictors from 82 blood parameters， sex， and age. A multivariate Logistic regression model was established and evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis. ResultsThe final model incorporated eight predictors， namely uric acid， urea nitrogen， alkaline phosphatase， monoamine oxidase， alanine aminotransferase， glutathione， neutrophil percentage， and age. The model achieved areas under the curve （AUCs） of 0.800 （95%CI： 0.769-0.830）， 0.787 （95%CI： 0.738-0.836）， and 0.736 （95%CI： 0.667-0.835） in the training， internal validation， and external validation sets， respectively. The model demonstrated good calibration， and decision curve analysis showed clinical net benefit within the threshold probability range of 10%-80%. ConclusionThe developed model exhibits good discriminative ability and clinical utility， serving as an effective early screening tool for primary healthcare institutions.

AIM: To compare the control effect of spherical and toric orthokeratology on low-to-moderate myopia with astigmatism(-1.00--1.50 DC)in adolescents.METHODS: The clinical data of 119 cases(119 eyes)of low-to-moderate myopia with astigmatism(-1.00--1.50 DC)adolescents who were treated and fitted with orthokeratology in the ophthalmology department of Sichuan Provincial People's Hospital from June 2021 to January 2022 were retrospectively analyzed. They were divided into spherical group, with 65 cases(65 eyes), and toric group, with 54 cases(54 eyes)according to the type of orthokeratology. The changes of uncorrected visual acuity(UCVA), axial length and corneal astigmatism before and after wearing lenses were recorded to evaluate the therapeutic effect.RESULTS: The UCVA of both the groups significantly improved at 1 and 2 a after wearing lenses(all P<0.01); corneal astigmatism decreased, but there was no significant difference(all P>0.05); the axial length was longer than that before wearing lenses(P<0.01). There were no statistical significant differences in the UCVA and corneal astigmatism between the spherical group and the toric group(Fintergroup=0.829,Pintergroup=0.364; Fintergroup=0.997,Pintergroup=0.320); and there were no statistical significant differences in the axial length growth between the spherical group and the toric group after wearing lenses for 1 a(0.18±0.11 mm vs 0.17±0.14 mm), and 2 a(0.17±0.10 mm vs 0.16±0.10 mm; all P>0.05).CONCLUSION: Both orthokeratology lenses can improve the UCVA, reduce corneal astigmatism, and delay axial length growth of adolescents with low-to-moderate myopia with astigmatism(-1.00--1.50 DC), and there are no significant differences in the control effect of spherical design orthokeratology and the toric design orthokeratology on myopia.

With the advancement in big data and artificial intelligence technologies, the extensive application of omics technologies in traditional Chinese medicine(TCM) research has generated large experimental datasets, enabling the exploration of cross-scale correlations among massive data and thereby resulting in the shift toward a data-intensive research paradigm. The emerging approach of multi-omics data fusion analysis, emphasizing technical and computational tools, presents a potential breakthrough in this field. The holistic perspective of TCM aligns with the concept of multi-omics data fusion, yet the data types encountered exhibit high dimensionality with small sample sizes, necessitating data processing techniques such as dimensionality reduction. The current challenge lies in selecting suitable analytical methods for these data to enhance the systematic understanding of physiological functions and disease diagnosis/treatment processes. This paper explores the theories and frameworks of multi-omics data fusion, analyzes methods for fusing high-dimensional, small-sample multi-omics data in TCM, and aims to provide insights for advancing TCM research.
Medicine, Chinese Traditional/methods* ; Humans ; Computational Biology/methods* ; Genomics/methods* ; Sample Size ; Artificial Intelligence ; Multiomics

Standardized clinical trial reporting is crucial for ensuring the scientific validity,reproducibility,and clinical translational value of reported results.The Consolidated Standards of Reporting Trials(CONSORT)statement,an internationally recognized guideline for randomized controlled trials(RCTs),has become an important reference standard for writing research papers in medicine since the 2010 version of CONSORT was published.With advancements in scientific research methodologies and the emergence of new forms of clinical trials,the CONSORT working group released an updated version in April 2025,published in journals such as The BMJ.Herein,we provide a systematic interpretation of the core revisions of CONSORT 2025,as well as a comparison with CONSORT 2010 to highlight the key differences.By providing practical,example-based recommendations,we aim to help domestic researchers apply the new guidelines efficiently,thereby improving the quality of clinical trial reports authored by domestic researchers.

A high-quality clinical trial protocol is the cornerstone for ensuring the scientific integrity and ethical compliance of a study.The Standard Protocol Items:Recommendations for Interventional Trials(SPIRIT)has become the international benchmark for developing clinical trial protocols since its release in 2013.To adapt to the developing trends of open science and patient-centered principles,the SPIRIT group completed a comprehensive update in 2025.While retaining its core structure,this updated guideline introduces a new open science module and incorporates several new elements,including patient and public involvement,trial monitoring,and data sharing,alongside substantial revisions of five pre-existing items.In this article,we critically examine the core revisions in SPIRIT 2025 and,through analysis of representative case studies,illustrate the practical application of the new reporting guideline in drafting trial protocols.Our goal is to to provide Chinese researchers with a valuable reference for understanding and implementing this new reporting guideline,thereby enhancing the quality and rigor of clinical trial protocols developed in the country.

Objective To investigate the mechanism of modified Huanglian Wendan Decoction in improving insulin resistance(IR)HepG2 cells by regulating JAK2/STAT3 signaling pathway.Methods HepG2 cells were incubated with 0.25 mmol/L palmitic acid for 24 h to induce IR model.The cells were divided into model group,drug containing serum group and metformin hydrochloride group.Blank serum,modified Huanglian Wendan Decoction drug containing serum and 2 mmol/L metformin hydrochloride intervention were administered,respectively.Normal cultured HepG2 cells were used as control group.The glucose assay kit was used to detect the glucose content in the cell supernatant,the liver glycogen assay kit was used to detect the glycogen content in the cells,the triglycerides(TG)assay kit was used to detect the TG content in the cells,PAS staining was used to observe the glycogen status of the cells,oil red O staining was used to observe the lipid droplet status of the cells,ELISA assay kit was used to detect the contents of interleukin-6(IL-6)and tumor necrosis factor(TNF)-α in cell supernatant,Western blot was used to detect the protein expressions of Janus kinase 2(JAK2),signal transduction and transcription activator 3(STAT3),LC3 and Beclin-1 in the cells.Results Compared with the control group,the glucose content in the supernatant of HepG2 cells in the model group increased(P<0.01),the intracellular glycogen content decreased(P<0.01),the TG content increased(P<0.01),the glycogen staining area decreased(P<0.01),the lipid droplet staining area increased(P<0.01),the contents of IL-6 and TNF-α in the supernatant increased(P<0.01),the expressions of JAK2 and STAT3 proteins increased(P<0.01),and the protein expression of LC3Ⅱ/LC3Ⅰ and Beclin-1 decreased(P<0.01).Compared with the model group,the glucose content decreased in the drug containing serum group and metformin hydrochloride group(P<0.01),the intracellular glycogen content increased(P<0.01),the TG content decreased(P<0.01),the glycogen staining area increased(P<0.01),the lipid droplet staining area decreased(P<0.01),the contents of IL-6 and TNF-α in cell supernatant decreased(P<0.01),the expressions of JAK2 and STAT3 proteins decreased(P<0.01),and the expressions of LC3Ⅱ/LC3Ⅰ and Beclin-1 proteins increased(P<0.05,P<0.01).The effect of modified Huanglian Wendan Decoction was better than that of metformin hydrochloride(P<0.05,P<0.01).Conclusion Modified Huanglian Wendan Decoction can possibly improve glucose and lipid metabolism and reduce inflammation in IR-HepG2 cells through intervening JAK2/STAT3 signaling pathway and mediating autophagy.

Cholestatic liver disease(CLD)is a liver condition caused by disorders in bile acid secretion and metabolism due to various reasons,and it has the common pathological features of various chronic liver diseases.In recent years,the role of cholangiocyte senescence(CS)in the pathogenesis of CLD has attracted more and more attention,and CS not only participates in the development and progression of CLD,but it is also significantly associated with the course and prognosis of the disease.Targeted clearance of senescent cholangiocytes or blocking senescence-related pathways can improve CLD.This article summarizes the role of CS in CLD,related influencing factors,and the research advances in CLD,in order to provide a theoretical reference for subsequent studies on CLD.

Objective:To establish a digital quality evaluation system for Salvia miltiorrhiza-Monascus fermentation products,screen critical quality markers,and provide methodological support for their intelligent quality control.Methods:Ultra-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry(UPLC-Q-Orbitrap-MS)was employed to quantitatively analyze 34 bioactive components(e.g.,tanshinone Ⅱ A and alvianol-ic acid B)in 20 batches of fermentation products.The key markers were screened through hierarchical cluster anal-ysis and partial least squares discriminant analysis,and an intelligent discriminant model was constructed with sup-port vector machine machine learning algorithm to digitally analyze the characteristics of quality differences between batches.Results:Thirty-four common peaks were calibrated across all batches.Combined with partial least squares analysis,six key difference markers were further screened,including terpenoids such as isotanshinone Ⅱ A and tan-shinone Ⅱ A and phenolic acids such as salvianolic acid G.The support vector machine model can achieve 100％accuracy of origin discrimination by optimizing parameters jointly with genetic algorithm and grid search.Conclusion:This study developed a digital quality evaluation system for Salvia miltiorrhiza-Monascus fermentation products through a three-step analytical strategy("chemical feature exploration-marker screening-model valida-tion"),providing a transferable technical pathway for the intelligent transformation of traditional Chinese medicine quality control.

Objective:To explore the risk factors for postoperative lower extremity lymphedema in patients with cervical cancer and construct a nomogram prediction model.Methods:A retrospective case-control study was conducted. Using convenience sampling method, 750 cervical cancer patients in Ziyang People's Hospital from May 2014 to May 2022 were selected. The included patients were divided into a modeling group (525 cases) and a validation group (225 cases) according to a ratio of 7∶3. In the modeling group, patients were divided into a developing group and a non-developing group according to the incidence of postoperative lower extremity lymphedema. Self-designed baseline data questionnaire was used to collect clinical data of patients. Logistic stepwise regression analysis was used to analyze the influencing factor for the incidence of postoperative lower extremity lymphedema in cervical cancer patients. R 4.0.2 software was used to construct a nomogram model for predicting the incidence risk of postoperative lower extremity lymphedema in cervical cancer patients based on the independent risk factors. Receiver operating characteristic (ROC) curve was used to evaluate the differentiation of the nomogram prediction model. Calibration curves were drawn to evaluate the consistency of the nomogram prediction model.Results:Among 525 cervical cancer patients in the modeling group, 109 (20.76%) had postoperative lower extremity lymphedema. There were statistically significant differences in the proportions of patients with different ages, tumor stages, surgical methods, postoperative drainage time, continuous standing time, number of lymph node dissection, and with or without diabetes mellitus, postoperative chemotherapy, postoperative radiotherapy, strenuous exercise or physical labor between the developing group and the non-developing group (all P < 0.05). Multivariate logistic regression analysis showed that age ≥ 60 years old( OR = 2.548, 95% CI: 1.253-5.181), postoperative radiotherapy ( OR = 8.048, 95% CI: 3.867-16.749), postoperative drainage time ≥5 d ( OR = 2.664, 95% CI: 1.043-6.803), continuous standing time ≥ 1 h ( OR = 3.024, 95% CI: 1.252-7.305), number of lymph node dissection > 20 ( OR = 7.063, 95% CI: 1.595-31.281), comorbid diabetes mellitus ( OR = 2.617, 95% CI: 1.200-5.711), and strenuous exercise or physical labor ( OR = 3.518, 95% CI: 1.841-6.721) were all independent risk factors affecting the incidence of postoperative lower extremity lymphedema in cervical cancer patients (all P < 0.05). Based on the above risk factors, a nomogram model was established to predict the incidence risk of postoperative lower extremity lymphedema in cervical cancer patients, and internal and external validation was performed. The results showed that the calibration curves of the modeling group and the validation group showed a good fit to the ideal curves (modeling group: χ2 = 7.87, P = 0.446; validation group: χ2 = 7.92, P = 0.441); the area under the ROC curve was 0.839 (95% CI: 0.795-0.883) and 0.834 (95% CI: 0.783-0.885), respectively, indicating that the prediction model had good predictive efficacy. Conclusions:Age, postoperative radiotherapy, postoperative drainage time, continuous standing time, number of lymph node dissection, whether combined with diabetes mellitus and strenuous exercise or physical labor may be the influencing factors for the incidence of postoperative lower extremity lymphedema in cervical cancer patients. The constructed nomogram model has high clinical value in evaluating the incidence risk of postoperative lower extremity lymphedema in cervical cancer patients.