基于Z-Score动态压缩的高效联邦学习算法

联邦学习作为一种具有隐私保护的新兴分布式计算范式,在一定程度上保护了用户隐私和数据安全。然而,由于联邦学习系统中客户端与服务器需要频繁地交换模型参数,造成了较大的通信开销。在带宽有限的无线通信场景中,这成为了限制联邦学习发展的主要瓶颈。针对这一问题,提出了一种基于Z-Score的动态稀疏压缩算法。通过引入Z-Score,对局部模型更新进行离群点检测,将重要的更新值视为离群点,从而将其挑选出来。在不需要复杂的排序算法以及原始模型更新的先验知识的情况下,实现模型更新的稀疏化。同时随着通信轮次的增加,根据全局模型的损失值动态地调整稀疏率,从而在保证模型精度的前提下最大程度地减少总通信量。通过实验证明,在I.I.D.数据场景下,该算法与联邦平均(FedAvg)算法相比可以降低95%的通信量,精度损失仅仅为1.6%,与FTTQ算法相比可以降低40%~50%的通信量,精度损失仅为1.29%,证明了该方法在保证模型性能的同时显著降低了通信成本。

Relationship between neonatal respiratory distress syndrome pulmonary ultrasonography and respiratory distress score,oxygenation index,and chest radiography grading

BACKGROUND Accurate condition assessment is critical for improving the prognosis of neonatal respiratory distress syndrome(RDS),but current assessment methods for RDS pose a cumulative risk of harm to neonates.Thus,a less harmful method for assessing the health of neonates with RDS is needed.AIM To analyze the relationships between pulmonary ultrasonography and respiratory distress scores,oxygenation index,and chest X-ray grade of neonatal RDS to identify predictors of neonatal RDS severity.METHODS This retrospective study analyzed the medical information of 73 neonates with RDS admitted to the neonatal intensive care unit of Liupanshui Maternal and Child Care Service Center between April and December 2022.The pulmonary ultrasonography score,respiratory distress score,oxygenation index,and chest Xray grade of each newborn before and after treatment were collected.Spearman correlation analysis was performed to determine the relationships among these values and neonatal RDS severity.RESULTS The pulmonary ultrasonography score,respiratory distress score,oxygenation index,and chest X-ray RDS grade of the neonates were significantly lower after treatment than before treatment(P<0.05).Spearman correlation analysis showed that before and after treatment,the pulmonary ultrasonography score of neonates with RDS was positively correlated with the respiratory distress score,oxygenation index,and chest X-ray grade(ρ=0.429–0.859,P<0.05).Receiver operating characteristic curve analysis indicated that pulmonary ultrasonography screening effectively predicted the severity of neonatal RDS(area under the curve=0.805–1.000,P<0.05).CONCLUSION The pulmonary ultrasonography score was significantly associated with the neonatal RDS score,oxygenation index,and chest X-ray grade.The pulmonary ultrasonography score was an effective predictor of neonatal RDS severity.

基于F-score和二进制灰狼优化的肿瘤基因选择方法

针对肿瘤基因数据维度高、噪声多、冗余性高的现状,结合Spearman相关系数改进F-score算法,在此基础上优化二进制灰狼算法,提出了一种基于改进F-score和二进制灰狼算法的肿瘤基因选择算法.首先,考虑特征之间的相关性,计算每个特征的F-score值和特征之间的Spearman相关系数的绝对值;然后,计算权重系数得出各个特征的权重值,依据重要性进行排序,选出初选特征子集;最后,通过收敛因子的衰减曲线和初始化方法优化二进制灰狼算法,调整全局搜索和局部搜索所占比例,增强全局搜索能力并提高局部搜索速度,有效节省时间开销,提升特征选择的分类性能和效率,得到最优特征子集.在9个肿瘤基因数据集上测试所提算法,在分类准确率和筛选特征数目两个指标上进行仿真实验,并与4种其他算法进行对比,实验结果证明所提算法表现良好,可有效降低基因数据维度,并具有较好的分类精度.

Role of albumin-bilirubin score in non-malignant liver disease

The albumin-bilirubin(ALBI)score,which was proposed to assess the prognosis of patients with hepatocellular carcinoma,has gradually been extended to other liver diseases in recent years,including primary biliary cholangitis,liver cirrhosis,hepatitis,liver transplantation,and liver injury.The ALBI score is often compared with classical scores such as the Child-Pugh and model for end-stage liver disease scores or other noninvasive prediction models.It is widely employed because of its immunity to subjective evaluation indicators and ease of obtaining detection indicators.An increasing number of studies have confirmed that it is highly accurate for assessing the prognosis of patients with chronic liver disease;additionally,it has demonstrated good predictive performance for outcomes beyond survival in patients with liver diseases,such as decompensation events.This article presents a review of the application of ALBI scores in various non-malignant liver diseases.

中医药团体标准评价体系(SCORE-TCM)解读

本文全面解读了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine,SCORE-TCM)。SCORE-TCM是结合定性与定量评价,全面评估中医药团体标准在制定主体、文本编写、技术内容、推广应用和实施效益等几方面特征的综合评价工具。文中详述了SCORE-TCM的构建目的、定义和构建过程,解释了评价指标体系中的各项指标,并对每项指标的评价材料进行介绍。本文旨在帮助中医药团体标准的制定者、第三方评价机构和其他相关方更好地理解SCORE-TCM各评价条目的含义,更有效地运用于中医药团体标准的自评价或第三方评价,SCORE-TCM将为《中医药团体标准管理办法》的贯彻实施,以及中医药团体标准的高质量发展提供技术支持。

基于中心偏移的Fisher score与直觉邻域模糊熵的多标记特征选择

现有多标记Fisher score模型中边缘样本会影响算法分类效果。鉴于邻域直觉模糊熵处理不确定信息时具有更强的表达能力与分辨能力的优势,文中提出了一种基于中心偏移的Fisher score与邻域直觉模糊熵的多标记特征选择方法。首先,根据标记将多标记论域划分为多个样本集,计算样本集的特征均值作为标记下样本的原始中心点,以最远样本的距离乘以距离系数,去除边缘样本集,定义了新的有效样本集,计算中心偏移处理后的标记下每个特征的得分以及标记集的特征得分,进而建立了基于中心偏移的多标记Fisher score模型,预处理多标记数据。然后,引入多标记分类间隔作为自适应模糊邻域半径参数,定义了模糊邻域相似关系和模糊邻域粒,由此构造了多标记模糊邻域粗糙集的上、下近似集;在此基础上提出了多标记邻域粗糙直觉隶属度函数和非隶属度函数,定义了多标记邻域直觉模糊熵。最后,给出了特征的外部和内部重要度的计算公式,设计了基于邻域直觉模糊熵的多标记特征选择算法,筛选出最优特征子集。在多标记K近邻分类器下、9个多标记数据集上的实验结果表明,所提算法选择的最优子集具有良好的分类性能。

Are we ready to use new endoscopic scores for ulcerative colitis?

For ulcerative colitis(UC),the variability in inflammatory activity along the colon poses a challenge in management.The focus on achieving endoscopic healing in UC is evident,where the UC Endoscopic Index of Severity and Mayo Endoscopic Subscore are commonly used for evaluation.However,these indices primarily consider the most severely affected region.Liu et al recent study validates the Toronto Inflammatory Bowel Disease Global Endoscopic Reporting(TIGER)score offering a comprehensive assessment of inflammatory activity across diverse segments of the colon and rectum and a reliable index correlating strongly with UC Endoscopic Index of Severity and moderately with Mayo Endoscopic Subscore(MES).Despite recommendation,certain aspects warrant further invest-igation.Fecal calprotectin,an intermediate target,correlates with TIGER and should be explored.Determining TIGER scores defining endoscopic remission and response,evaluating agreement with histological activity,and assessing inter-endoscopist agreement for TIGER require scrutiny.Exploring the correlation between TIGER and intestinal ultrasound,akin to MES,adds value.

Fecal calprotectin and endoscopic scores: The cornerstones in clinical practice for evaluating mucosal healing in inflammatory bowel disease

Managing inflammatory bowel disease(IBD)is becoming increasingly complex and personalized,considering the advent of new advanced therapies with distinct mechanisms of action.Achieving mucosal healing(MH)is a pivotal therapeutic goal in IBD management and can prevent IBD progression and reduce flares,hospitalization,surgery,intestinal damage,and colorectal cancer.Employing proactive disease and therapy assessment is essential to achieve better control of intestinal inflammation,even if subclinical,to alter the natural course of IBD.Periodic monitoring of fecal calprotectin(FC)levels and interval endoscopic evaluations are cornerstones for evaluating response/remission to advanced therapies targeting IBD,assessing MH,and detecting subclinical recurrence.Here,we comment on the article by Ishida et al Moreover,this editorial aimed to review the role of FC and endoscopic scores in predicting MH in patients with IBD.Furthermore,we intend to present some evidence on the role of these markers in future targets,such as histological and transmural healing.Additional prospective multicenter studies with a stricter MH criterion,standardized endoscopic and histopathological analyses,and virtual chromoscopy,potentially including artificial intelligence and other biomarkers,are desired.

Current status of magnetic resonance imaging radiomics in hepatocellular carcinoma:A quantitative review with Radiomics Quality Score

BACKGROUND Radiomics is a promising tool that may increase the value of magnetic resonance imaging(MRI)for different tasks related to the management of patients with hepatocellular carcinoma(HCC).However,its implementation in clinical practice is still far,with many issues related to the methodological quality of radiomic studies.AIM To systematically review the current status of MRI radiomic studies concerning HCC using the Radiomics Quality Score(RQS).METHODS A systematic literature search of PubMed,Google Scholar,and Web of Science databases was performed to identify original articles focusing on the use of MRI radiomics for HCC management published between 2017 and 2023.The methodological quality of radiomic studies was assessed using the RQS tool.Spearman’s correlation(ρ)analysis was performed to explore if RQS was correlated with journal metrics and characteristics of the studies.The level of statistical significance was set at P<0.05.RESULTS One hundred and twenty-seven articles were included,of which 43 focused on HCC prognosis,39 on prediction of pathological findings,16 on prediction of the expression of molecular markers outcomes,18 had a diagnostic purpose,and 11 had multiple purposes.The mean RQS was 8±6.22,and the corresponding percentage was 24.15%±15.25%(ranging from 0.0% to 58.33%).RQS was positively correlated with journal impact factor(IF;ρ=0.36,P=2.98×10^(-5)),5-years IF(ρ=0.33,P=1.56×10^(-4)),number of patients included in the study(ρ=0.51,P<9.37×10^(-10))and number of radiomics features extracted in the study(ρ=0.59,P<4.59×10^(-13)),and time of publication(ρ=-0.23,P<0.0072).CONCLUSION Although MRI radiomics in HCC represents a promising tool to develop adequate personalized treatment as a noninvasive approach in HCC patients,our study revealed that studies in this field still lack the quality required to allow its introduction into clinical practice.

Preoperative albumin-bilirubin score and liver resection percentage determine postoperative liver regeneration after partial hepatectomy

BACKGROUND The success of liver resection relies on the ability of the remnant liver to regenerate.Most of the knowledge regarding the pathophysiological basis of liver regeneration comes from rodent studies,and data on humans are scarce.Additionally,there is limited knowledge about the preoperative factors that influence postoperative regeneration.AIM To quantify postoperative remnant liver volume by the latest volumetric software and investigate perioperative factors that affect posthepatectomy liver regenera-tion.METHODS A total of 268 patients who received partial hepatectomy were enrolled.Patients were grouped into right hepatectomy/trisegmentectomy(RH/Tri),left hepa-tectomy(LH),segmentectomy(Seg),and subsegmentectomy/nonanatomical hepatectomy(Sub/Non)groups.The regeneration index(RI)and late rege-neration rate were defined as(postoperative liver volume)/[total functional liver volume(TFLV)]×100 and(RI at 6-months-RI at 3-months)/RI at 6-months,respectively.The lower 25th percentile of RI and the higher 25th percentile of late regeneration rate in each group were defined as“low regeneration”and“delayed regeneration”.“Restoration to the original size”was defined as regeneration of the liver volume by more than 90%of the TFLV at 12 months postsurgery.RESULTS The numbers of patients in the RH/Tri,LH,Seg,and Sub/Non groups were 41,53,99 and 75,respectively.The RI plateaued at 3 months in the LH,Seg,and Sub/Non groups,whereas the RI increased until 12 months in the RH/Tri group.According to our multivariate analysis,the preoperative albumin-bilirubin(ALBI)score was an independent factor for low regeneration at 3 months[odds ratio(OR)95%CI=2.80(1.17-6.69),P=0.02;per 1.0 up]and 12 months[OR=2.27(1.01-5.09),P=0.04;per 1.0 up].Multivariate analysis revealed that only liver resection percentage[OR=1.03(1.00-1.05),P=0.04]was associated with delayed regeneration.Furthermore,multivariate analysis demonstrated that the preoperative ALBI score[OR=2.63(1.00-1.05),P=0.02;per 1.0 up]and liver resection percentage[OR=1.02(1.00-1.05),P=0.04;per 1.0 up]were found to be independent risk factors associated with volume restoration failure.CONCLUSION Liver regeneration posthepatectomy was determined by the resection percentage and preoperative ALBI score.This knowledge helps surgeons decide the timing and type of rehepatectomy for recurrent cases.

融合单类F-score和遗传算法的微生物特征选择方法

微生物数据由于其维度高和类别不平衡特点,在传统机器学习分类算法中不能得到理想的分类效果。传统特征选择算法可以达到降维的效果,但对于类别不平衡问题显得有点力不从心。因此,文中提出了一种融合单类F-score和遗传算法的特征选择方法。首先,利用单类F-score操作生成遗传操作中的初始种群;其次,利用SVM分类模型的AUC值作为遗传操作中个体的适应度值;再次,结合遗传操作来更新种群;最终,得到最优特征子集。实验在五个微生物数据集上进行,与四种特征选择算法进行对比,结果表明,文中所提方法在一定程度上优于其他方法。

Comparing 11 early warning scores and three shock indices in early sepsis prediction in the emergency department

BACKGROUND:This study aimed to evaluate the discriminatory performance of 11 vital sign-based early warning scores(EWSs)and three shock indices in early sepsis prediction in the emergency department(ED).METHODS:We performed a retrospective study on consecutive adult patients with an infection over 3 months in a public ED in Hong Kong.The primary outcome was sepsis(Sepsis-3 definition)within 48 h of ED presentation.Using c-statistics and the DeLong test,we compared 11 EWSs,including the National Early Warning Score 2(NEWS2),Modified Early Warning Score,and Worthing Physiological Scoring System(WPS),etc.,and three shock indices(the shock index[SI],modified shock index[MSI],and diastolic shock index[DSI]),with Systemic Inflammatory Response Syndrome(SIRS)and quick Sequential Organ Failure Assessment(qSOFA)in predicting the primary outcome,intensive care unit admission,and mortality at different time points.RESULTS:We analyzed 601 patients,of whom 166(27.6%)developed sepsis.NEWS2 had the highest point estimate(area under the receiver operating characteristic curve[AUROC]0.75,95%CI 0.70-0.79)and was significantly better than SIRS,qSOFA,other EWSs and shock indices,except WPS,at predicting the primary outcome.However,the pooled sensitivity and specificity of NEWS2≥5 for the prediction of sepsis were 0.45(95%CI 0.37-0.52)and 0.88(95%CI 0.85-0.91),respectively.The discriminatory performance of all EWSs and shock indices declined when used to predict mortality at a more remote time point.CONCLUSION:NEWS2 compared favorably with other EWSs and shock indices in early sepsis prediction but its low sensitivity at the usual cut-off point requires further modification for sepsis screening.

Heparin-binding protein as a predictor of mortality in patients with diabetes mellitus and community-acquired pneumonia in intensive care unit:a propensity score matched study

BACKGROUND:Patients with diabetes mellitus(DM)are vulnerable to community-acquired pneumonia(CAP),which have a high mortality rate.We aimed to investigate the value of heparin-binding protein(HBP)as a prognostic marker of mortality in patients with DM and CAP.METHODS:This retrospective study included CAP patients who were tested for HBP at intensive care unit(ICU)admission from January 2019 to April 2020.Patients were allocated to the DM or non-DM group and paired with propensity score matching.Baseline characteristics and clinical outcomes up to 90 days were evaluated.The primary outcome was the 10-day mortality.Receiver operating characteristic(ROC)curves,Kaplan-Meier analysis,and Cox regression were used for statistical analysis.RESULTS:Among 152 enrolled patients,60 pairs were successfully matched.There was no significant difference in 10-day mortality,while more patients in the DM group died within 28 d(P=0.024)and 90 d(P=0.008).In the DM group,HBP levels at ICU admission were higher in 10-day non-survivors than in 10-day survivors(median 182.21[IQR:55.43-300]ng/ml vs.median 66.40[IQR:34.13-107.85]ng/mL,P=0.019),and HBP levels could predict the 10-day mortality with an area under the ROC curve of 0.747.The cut-off value,sensitivity,and specificity were 160.6 ng/mL,66.7%,and 90.2%,respectively.Multivariate Cox regression analysis indicated that HBP was an independent prognostic factor for 10-day(HR 7.196,95%CI:1.596-32.455,P=0.01),28-day(HR 4.381,95%CI:1.449-13.245,P=0.009),and 90-day mortality(HR 4.581,95%CI:1.637-12.819,P=0.004)in patients with DM.CONCLUSION:Plasma HBP at ICU admission was associated with the 10-day,28-day,and 90-day mortality,and might be a prognostic factor in patients with DM and CAP.

Analysis of the urethral stricture score and patient-related factors as predictors of outcomes following oral mucosal graft urethroplasty

Objective:The complexity of urethral strictures can predict outcomes following urethroplasty.The previously described urethral stricture score(U score)considered only stricture-related factors to grade the complexity of urethral strictures and to predict recurrence post urethroplasty,but not considered patient-related factors for the same.We aimed to study the correlation of both of these factors to the outcomes of oral mucosal graft urethroplasty.Methods:We retrospectively reviewed data of 101 patients who underwent oral mucosal graft urethroplasty in our institute with a minimum follow-up of 6 months.Baseline patient characteristics and stricture-related parameters were noted.The U score was calculated for all patients which consisted of the length,location,number,and etiology of stricture.Univariate and multivariate Cox proportional hazard regression models were used to determine significant risk factors of recurrence.Results:The mean follow-up of patients was 15 months.Recurrence was seen in 28 patients and the mean time for detection of recurrence was 8 months of follow-up.The Charlson Comorbidity Index,history of previous intervention,length of strictures,location of strictures,number of strictures,history of smoking,and etiology were independent predictors of recurrence following urethroplasty.Based on these parameters,we formulated the modified U score(MU score).The scores ranged from 0 to 6 and a score of>2 was found to be predictive of recurrence.On comparing receiver operating characteristic curves for both scores by the DeLong test,the MU score had larger area under the curve than the U score.Conclusion:The MU scoring system is the first of its kind attempt taking into consideration both patient-and stricture-related factors to predict recurrence following oral mucosal graft urethroplasty.

Albumin-bilirubin score in non-malignant liver and other diseases

The albumin-bilirubin(ALBI)score is derived from albumin and bilirubin levels.Currently,the ALBI score is widely used in various clinical settings.A recent article in the World Journal of Gastroenterology summarized the application of the ALBI score in various non-malignant liver diseases.The ALBI score has a predictive power that is superior or non-inferior to established numerous measures.This may be related to its contiguity,sensitivity,and inclusion of albumin.While we recognize the good results of the ALBI score in a number of diseases,the ALBI score also has limitations.Variation studies for population characteristics and other factors should be performed to validate the performance of ALBI.Further modifications or optimization of ALBI scores should be taken into account.

Evaluation of the GATIS score for predicting prognosis in rectal neuroendocrine neoplasms

The GATIS score,developed by Zeng et al,represents a significant advancement in predicting the prognosis of patients with rectal neuroendocrine neoplasms(RNENs).This study,which included 1408 patients from 17 major medical centres in China over 12 years,introduces a novel prognostic model based on the tumour grade,T stage,tumour size,age,and the prognostic nutritional index.Compared with traditional methods such as the World Health Organization classification and TNM staging systems,the GATIS score has superior predictive power for overall survival and progression-free survival.With a C-index of 0.915 in the training set and 0.812 in the external validation set,the GATIS score’s robustness and reliability are evident.The study’s use of a large,multi-centre cohort and rigorous validation processes underscore its significance.The GATIS score offers clinicians a powerful tool to accurately predict patient outcomes,guide treatment decisions,and improve follow-up strategies.This development represents a crucial step forwards in the management of R-NENs,addressing the complexity and variability of these tumours and setting a new benchmark for future research and clinical practice.

Functional Liver Imaging Score Derived from Gadoxetic Acid-enhanced MRI Predicts Cachexia and Prognosis in Hepatocellular Carcinoma Patients

Objective Cachexia occurs in approximately half of hepatocellular carcinoma(HCC)patients as the disease progresses and is correlated with a poor prognosis.Therefore,early identification of HCC patients at risk of developing cachexia and their prognosis is crucial.This study investigated the functional liver imaging score(FLIS)derived from gadoxetic acid-enhanced magnetic resonance imaging(MRI)to identify cachexia in HCC patients and their prognosis.Methods Pretreatment clinical and MRI data from 339 HCC patients who underwent gadoxetic acid-enhanced MRI scans were retrospectively collected.Patient weights were recorded for 6 months following the MRI scan to diagnose cachexia.The FLIS was calculated as the sum of the enhancement quality score,the excretion quality score,and the portal vein sign quality score.A Cox proportional hazards model was used to determine the significant factors affecting overall survival(OS).Multivariable logistic regression was then conducted to identify variables predicting cachexia in HCC patients,which were subsequently used to predict OS.Results Cox regression analysis revealed a significant association between cachexia and worse OS.Both FLIS(0–4 vs.5–6 points)(OR,9.20;95%CI:4.68–18.10;P<0.001)andα-fetoprotein>100 ng/mL(OR,4.08;95%CI:2.13–7.83;P<0.001)emerged as significant predictors of cachexia in patients with HCC.Furthermore,FLIS(0–4 vs.5–6 points)(HR,1.73;95%CI:1.19–2.51;P=0.004)was significantly associated with OS.Patients in the FLIS 0–4 points group had shorter OS than those in the FLIS 5–6 points group[20 months(95%CI,14.7–25.3)vs.43 months(95%CI,27.7–58.3);P=0.001].Conclusion Cachexia was associated with worse OS.The functional liver imaging score emerged as a significant predictor of cachexia in HCC patients and their prognosis.

Combined preoperative albumin bilirubin score and hepatectomy percentage for evaluate the liver regeneration after partial hepatectomy

Surgical resection is a pivotal therapeutic approach for addressing hepatic space-occupying lesions,with liver volume restoration and hepatic functional recovery being crucial for assessing surgical prognosis.The preoperative albumin-bilirubin(ALBI)score,encompassing serum albumin and bilirubin levels,can be determined via blood analysis,effectively mitigating human error and providing an accurate depiction of liver function.The hepatectomy ratio,which is the proportion of the liver volume removed to the total liver volume,is critical in preserving an adequate liver tissue volume to ensure postoperative hepatic functional compensation,minimize surgical complications,and reduce mortality rates.Incorporating the preoperative ALBI score and hepatectomy ratio aids surgeons in assessing the optimal timing and extent of partial hepatectomy.The introduction of preoperative albumin bilirubin score and hepatectomy percentage is beneficial for the surgeons to evaluate the timing and magnitude of partial liver resection.

Three predictive scores compared in a retrospective multicenter study of nonunion tibial shaft fracture

BACKGROUND Delayed union,malunion,and nonunion are serious complications in the healing of fractures.Predicting the risk of nonunion before or after surgery is challenging.AIM To compare the most prevalent predictive scores of nonunion used in clinical practice to determine the most accurate score for predicting nonunion.METHODS We collected data from patients with tibial shaft fractures undergoing surgery from January 2016 to December 2020 in three different trauma hospitals.In this retrospective multicenter study,we considered only fractures treated with intramedullary nailing.We calculated the tibia FRACTure prediction healING days(FRACTING)score,Nonunion Risk Determination score,and Leeds-Genoa Nonunion Index(LEG-NUI)score at the time of definitive fixation.RESULTS Of the 130 patients enrolled,89(68.4%)healed within 9 months and were classified as union.The remaining patients(n=41,31.5%)healed after more than 9 months or underwent other surgical procedures and were classified as nonunion.After calculation of the three scores,LEG-NUI and FRACTING were the most accurate at predicting healing.CONCLUSION LEG-NUI and FRACTING showed the best performances by accurately predicting union and nonunion.

Diagnostic and prognostic performances of GALAD score in staging and 1-year mortality of hepatocellular carcinoma: A prospective study

BACKGROUND The GALAD score has improved early hepatocellular carcinoma(HCC)detection rate.The role of the GALAD score in staging and predicting tumor characteristics or clinical outcome of HCC remains of particular interest.AIM To determine the diagnostic/prognostic performances of the GALAD score at various phases of initial diagnosis,tumor features,and 1-year mortality of HCC and compare the performance of the GALAD score with those of other serum biomarkers.METHODS This prospective,diagnostic/prognostic study was conducted among patients with newly diagnosed HCC at the liver center of Vajira Hospital.Eligible patients had HCC staging allocation using the Barcelona Clinic Liver Cancer(BCLC)categorization.Demographics,HCC etiology,and HCC features were recorded.Biomarkers and the GALAD score were obtained at baseline.The performance of the GALAD score and biomarkers were prospectively assessed.RESULTS Exactly 115 individuals were diagnosed with HCC.The GALAD score increased with disease severity.Between BCLC-0/A and BCLC-B/C/D,the GALAD score predicted HCC staging with an area under the curve(AUC)of 0.868(95%CI:0.80–0.93).For identifying the curative HCC,the AUC of GALAD score was significantly higher than that of Alpha-fetoprotein(AFP)(0.753)and Lens culinaris agglutinin-reactive fraction of AFP-L3(0.706),and as good as that of Protein induced by vitamin K absence-II(PIVKA-II)(0.897).For detecting aggressive features,the GALAD score gave an AUC of 0.839(95%CI:0.75–0.92)and significantly outperformed compared to that of AFP(0.761)and AFP-L3(0.697),with a trend of superiority to that of PIVKA-II(0.772).The performance to predict 1-year mortality of GALAD score(AUC:0.711,95%CI:0.60–0.82)was better than that of AFP(0.541)and as good as that of PIVKA-II(0.736).The optimal cutoff value of GALAD score was≥6.83,with a specificity of 72.63%for exhibiting substantial reduction in the 1-year mortality.CONCLUSION The GALAD model can diagnose HCC at the curative stage,including the characteristic of advanced disease,more than that by AFP and AFP-L3,but not PIVKA-II.The GALAD score can be used to predict the 1-year mortality of HCC.