简介：

简介：无

简介：无

简介：AbstractBackground:Existing clinical prediction models for in vitro fertilization are based on the fresh oocyte cycle, and there is no prediction model to evaluate the probability of successful thawing of cryopreserved mature oocytes. This research aims to identify and study the characteristics of pre-oocyte-retrieval patients that can affect the pregnancy outcomes of emergency oocyte freeze-thaw cycles.Methods:Data were collected from the Reproductive Center, Peking University Third Hospital of China. Multivariable logistic regression model was used to derive the nomogram. Nomogram model performance was assessed by examining the discrimination and calibration in the development and validation cohorts. Discriminatory ability was assessed using the area under the receiver operating characteristic curve (AUC), and calibration was assessed using the Hosmer-Lemeshow goodness-of-fit test and calibration plots.Results:The predictors in the model of "no transferable embryo cycles" are female age (odds ratio [OR] = 1.099, 95% confidence interval [CI] = 1.003-1.205, P = 0.0440), duration of infertility (OR = 1.140, 95% CI = 1.018-1.276, P = 0.0240), basal follicle-stimulating hormone (FSH) level (OR = 1.205, 95% CI = 1.051-1.382, P = 0.0084), basal estradiol (E2) level (OR = 1.006, 95% CI = 1.001-1.010, P = 0.0120), and sperm from microdissection testicular sperm extraction (MESA) (OR = 7.741, 95% CI = 2.905-20.632, P < 0.0010). Upon assessing predictive ability, the AUC for the "no transferable embryo cycles" model was 0.799 (95% CI: 0.722-0.875, P < 0.0010). The Hosmer-Lemeshow test (P = 0.7210) and calibration curve showed good calibration for the prediction of no transferable embryo cycles. The predictors in the cumulative live birth were the number of follicles on the day of human chorionic gonadotropin (hCG) administration (OR = 1.088, 95% CI = 1.030-1.149, P = 0.0020) and endometriosis (OR = 0.172, 95% CI = 0.035-0.853, P = 0.0310). The AUC for the "cumulative live birth" model was 0.724 (95% CI: 0.647-0.801, P < 0.0010). The Hosmer-Lemeshow test (P = 0.5620) and calibration curve showed good calibration for the prediction of cumulative live birth.Conclusions:The predictors in the final multivariate logistic regression models found to be significantly associated with poor pregnancy outcomes were increasing female age, duration of infertility, high basal FSH and E2 level, endometriosis, sperm from MESA, and low number of follicles with a diameter >10 mm on the day of hCG administration.

简介：

简介：AbstractBackground:Various prediction tools have been developed to predict biochemical recurrence (BCR) after radical prostatectomy (RP); however, few of the previous prediction tools used serum prostate-specific antigen (PSA) nadir after RP and maximum tumor diameter (MTD) at the same time. In this study, a nomogram incorporating MTD and PSA nadir was developed to predict BCR-free survival (BCRFS).Methods:A total of 337 patients who underwent RP between January 2010 and March 2017 were retrospectively enrolled in this study. The maximum diameter of the index lesion was measured on magnetic resonance imaging (MRI). Cox regression analysis was performed to evaluate independent predictors of BCR. A nomogram was subsequently developed for the prediction of BCRFS at 3 and 5 years after RP. Time-dependent receiver operating characteristic (ROC) curve and decision curve analyses were performed to identify the advantage of the new nomogram in comparison with the cancer of the prostate risk assessment post-surgical (CAPRA-S) score.Results:A novel nomogram was developed to predict BCR by including PSA nadir, MTD, Gleason score, surgical margin (SM), and seminal vesicle invasion (SVI), considering these variables were significantly associated with BCR in both univariate and multivariate analyses (P < 0.05). In addition, a basic model including Gleason score, SM, and SVI was developed and used as a control to assess the incremental predictive power of the new model. The concordance index of our model was slightly higher than CAPRA-S model (0.76 vs. 0.70, P = 0.02) and it was significantly higher than that of the basic model (0.76 vs. 0.66, P = 0.001). Time-dependent ROC curve and decision curve analyses also demonstrated the advantages of the new nomogram.Conclusions:PSA nadir after RP and MTD based on MRI before surgery are independent predictors of BCR. By incorporating PSA nadir and MTD into the conventional predictive model, our newly developed nomogram significantly improved the accuracy in predicting BCRFS after RP.

简介：摘要目的利用多中心数据对本课题组前期单中心大样本的回顾性研究建立的基于多因素逻辑回归的Nomogram模型进行验证及优化。方法回顾性分析国内7家儿童医学中心接受诊治的1 314例新生儿梗阻性黄疸患儿的临床资料。收集患儿的一般资料及术前临床指标，包括性别、体重、直接胆红素(direct bilirubin，DB)、碱性磷酸酶(alkaline phosphatase，ALP)、γ-谷氨酰转肽酶(gamma-glutamyl transferase，GGT)。根据患儿术中胆道造影结果及术后病理学检查结果，将其分为胆道闭锁(biliary atresia，BA)组(BA组)和非BA组，其中BA组1 131例，非BA组183例。另外，在1 314例患儿资料中以其中500例患儿的资料作为模型组，建立优化的、基于多因素逻辑回归的Nomogram模型，余814例患儿资料作为验证组，同时在此次建模的基础上对前期模型及本次优化后的模型进行外部验证。结果采用单因素逻辑回归分析发现，BA组和非BA组在性别、体重、DB和GGT等4个变量上存在显著差异，差异具有统计学意义(P<0.05)，故以此作为预测因子，建立了优化的Nomogram诊断模型，其具有较好的鉴别效能，截断值为0.745，受试者工作特征(receiver operating characteristic，ROC)曲线下面积(area undercurve，AUC)值为0.8 358，灵敏度为80.8%，特异度为71.72%，阳性预测值(positivepredictive value，PPV)为92.55%，优于GGT单项指标的诊断效能。外部验证的结果提示，与前期模型相比，其更稳定，诊断效能更高，灵敏度为81.51%，特异度为90.48%，PPV为98.67%。结论基于多中心的优化Nomogram诊断模型在BA的术前诊断中有更稳定的预测效能，具有很好的临床应用前景，可基于此开发计算工具投入使用，为基层非专科医生提供早期鉴别诊断的新方法。

简介：AbstractObjectives:To establish Nomogram to predict the overall survival (OS) rate of pancreatic cancer patients with lung metastasis by utilizing the database of the Surveillance, Epidemiology, and End Results (SEER) Program.Methods:We obtained the data of 363 pancreatic cancer patients with lung metastasis who were diagnosed between 2010 and 2016 from the SEER database. These patients were randomly divided into training (n=255) and validation (n=108) cohorts. The Cox proportional hazards regression model was performed to evaluate the prognostic effects of multiple clinicopathologic factors on OS. Significant prognostic factors were combined to build Nomogram. The predictive performance of Nomogram was evaluated via internal (training cohort data) and external validation (validation cohort data) by calculating index of concordance (C-index) and plotting area under curve (AUC) and calibration curves. All data from SEER database have been fully de-identified and may be used without further independent ethics committee approval.Results:In the training cohort, the results of Cox proportional hazards regression model showed that, tumor location, surgery, chemotherapy and other organ of metastasis were significantly associated with the survival prognosis (P <.05). These factors were used to establish Nomogram. The Nomogram showed good accuracy in predicting OS rate, with C-index of 0.727 [95%CI was (0.689, 0.764)] in internal validation and C-index of 0.738 [95%CI was (0.679, 0.796)] in external validation. All calibration curves showed excellent consistency between prediction by Nomogram and actual observation.Conclusion:Novel Nomogram for pancreatic cancer patients with lung metastasis was established to predict OS in our study. It has good prognostic significance. And it could provide the clinicians with more accurate and practical predictive tools which can quickly and accurately assess the patients’ survival prognosis individually, and make clinical suggestion for doctors in the follow-up treatment of patients.

简介：摘要目的分析新疆地区局部晚期鼻咽癌患者治疗后的预后相关因素，构建列线图(Nomogram)预后模型，并对此模型进行验证。方法选择2010年7月至2017年6月新疆医科大学附属肿瘤医院收治并行根治性调强放射治疗的鼻咽癌患者317例，使用最小绝对收缩和选择算子(LASSO)回归法进行单因素筛选后行Cox多因素回归分析，并构建Nomogram预后模型对局部晚期鼻咽癌患者预后进行评估。采用一致性指数(C-index)、校准曲线、净重分类改善指数(NRI)、综合判别改善指数(IDI)进行Nomogram与TNM分期系统之间模型的验证与评估。使用决策树算法对患者列线图风险进行分层，生存率采用Kaplan-Meier法计算，并采用Log-rank法检验。结果T分期、N分期、乳酸脱氢酶(LDH)、转移性淋巴结体积(GTVnd)及初治血浆EBV-DNA拷贝量(EBV-DNA)与总生存(OS)相关，将各因素纳入Nomogram预后模型，C-index为0.784 (95%CI：0.736～0.831，P<0.01)。校准曲线显示，由Nomogram模型预测的OS概率与实际观察到的OS有较好的一致性，结果在验证队列中获得了验证；且在使用净重分类改善指数及综合判别改善指数对OS的准确性进行评估时Nomogram模型结果均优于美国癌症联合委员会(AJCC)第8版分期系统所建模型。使用决策树算法根据Nomogram得分可将患者分为4个不同危险程度的亚组，组间生存率差异有统计学意义(χ2＝113.21，P<0.01)，高风险队列内的患者能从诱导化疗联合同步放化疗中获得总生存获益。结论本课题组建立的Nomogram模型可为本地区局部晚期鼻咽癌患者临床诊疗及预后评估提供参考意见。

简介：无

简介：AbstractBackground:Breast cancer patients with ipsilateral supraclavicular lymph node metastasis (ISLNM) but without distant metastasis are considered to have a poor prognosis. This study aimed to develop a nomogram to predict the overall survival (OS) of breast cancer patients with ISLNM but without distant metastasis.Methods:Medical records of breast cancer patients who received surgical treatment at the Affiliated Cancer Hospital of Zhengzhou University, Jiyuan People’s Hospital and Huaxian People’s Hospital between December 21, 2012 and June 30, 2020 were reviewed retrospectively. Overall, 345 patients with pathologically confirmed ISLNM and without evidence of distant metastasis were identified. They were further randomized 2:1 and divided into training (n = 231) and validation (n = 114) cohorts. A nomogram to predict the probability of OS was constructed based on clinicopathologic variables identified by the univariable and multivariable analyses. The predictive accuracy and discriminative ability were measured by calibration plots, concordance index (C-index), and risk group stratification.Results:Univariable analysis showed that estrogen receptor-positive (ER+), progesterone receptor-positive (PR+), human epidermal growth factor receptor 2-positive (HER2+) with Herceptin treatment, and a low axillary lymph node ratio (ALNR) were prognostic factors for better OS. PR+, HER2+ with Herceptin treatment, and a low ALNR remained independent prognostic factors for better OS on multivariable analysis. These variables were incorporated into a nomogram to predict the 1-, 3-, and 5-year OS of breast cancer patients with ISLNM. The C-indexes of the nomogram were 0.737 (95% confidence interval [CI]: 0.660-0.813) and 0.759 (95% CI: 0.636-0.881) for the training and the validation cohorts, respectively. The calibration plots presented excellent agreement between the nomogram prediction and actual observation for 3 and 5 years, but not 1 year, OS in both the cohorts. The nomogram was also able to stratify patients into different risk groups.Conclusions:In this study, we established and validated a novel nomogram for predicting survival of patients with ISLNM. This nomogram may, to some extent, allow clinicians to more accurately estimate prognosis and to make personalized therapeutic decisions for individual patients with ISLNM.

简介：AbstractBackground:Rebleeding can cause a catastrophic outcome after aneurysmal subarachnoid hemorrhage. A clinical + morphology nomogram was promoted in our previous study to assist in discriminating the rupture intracranial aneurysms (RIAs) with a high risk of rebleeding. The aim of this study was to validate the predictive accuracy of this nomogram model.Method:The patients with RIAs in two medical centers from December 2020 to September 2021 were retrospectively reviewed, whose clinical and morphological parameters were collected. The Cox regression model was employed to identify the risk factors related to rebleeding after their admission. The predicting accuracy of clinical + morphological nomogram, ELAPSS score and PHASES score was compared based on the area under the curves (AUCs).Results:One hundred thirty-eight patients with RIAs were finally included in this study, 20 of whom suffering from rebleeding after admission. Hypertension (hazard ratio (HR), 2.54; a confidence interval of 95% (CI), 1.01-6.40; P = 0.047), bifurcation (HR, 3.88; 95% CI, 1.29-11.66; P = 0.016), and AR (HR, 2.68; 95% CI, 1.63-4.41; P < 0.001) were demonstrated through Cox regression analysis as the independent risk factors for rebleeding after admission. The clinical + morphological nomogram had the highest predicting accuracy (AUC, 0.939, P < 0.01), followed by the bifurcation (AUC, 0.735, P = 0.001), AR (AUC, 0.666, P = 0.018), and ELAPSS score (AUC, 0.682, P = 0.009). Hypertension (AUC, 0.693, P = 0.080) or PHASES score (AUC, 0.577, P = 0.244) could not be used to predict the risk of rebleeding after admission. The calibration curve for the probability of rebleeding showed a good agreement between the prediction through clinical + morphological nomogram and actual observation.Conclusion:Hypertension, bifurcation site, and AR were independent risk factors related to the rebleeding of RIAs after admission. The clinical + morphological nomogram could help doctors to identify the high-risk RIAs with a high predictive accuracy.

简介：摘要目的构建和验证用于预测晚期肝细胞癌总生存期和癌症特异性生存期的Nomogram模型。方法本研究采用回顾性队列研究的方法，收集SEER数据库中2010—2015年病理诊断为晚期肝细胞癌的患者，共2 382例，使用R语言函数按1∶1的比例随机分为建模组(n＝1 191)和内部验证组(n＝1 191)，并采用χ2检验验证两组间可比性。选取苏州大学附属张家港医院的62例晚期肝细胞癌患者作为外部验证组。基于建模组中的单因素和多因素COX回归分析，构建6个月和12个月的总生存期和癌症特异性生存期的Nomogram预测模型。一致性指数(C-index)、校准图、受试者工作特征(ROC)曲线和Kaplan-Meier生存分析检测Nomogram模型的评估能力，并在内部验证组、外部验证组中进行验证。通过决策曲线分析(DCA)衡量模型的临床效用。结果基于COX回归分析构建Nomogram模型，纳入模型的危险因素包括性别、组织学分级、T分期、N分期、M分期、肿瘤大小、骨转移、甲胎蛋白、原发部位手术、放疗和化疗。总生存期模型中，建模组、内部验证组和外部验证组的C-index分别为0.729(95%CI：0.711~0.747)、0.721(95%CI：0.705~0.737)和0.860(95%CI：0.831~0.889)，癌症特异性生存期模型中分别为0.732(95%CI：0.714~0.750)、0.725(95%CI：0.707~0.743)和0.862(95%CI：0.829~0.895)。校准图、ROC曲线和Kaplan-Meier生存曲线显示Nomogram模型有良好的预测能力，DCA显示Nomogram模型的临床应用价值优于其他传统临床模型。结论构建了用于预测晚期肝细胞癌总生存期和癌症特异性生存期的Nomogram模型，并进行了验证。

简介：摘要目的建立成人主动脉手术患者术中压力性损伤的Nomogram预测模型，并检验模型的有效性。方法采用便利抽样的方法选取2016年7月—2017年3月在北京安贞医院手术室进行主动脉手术的患者400例，应用主动脉手术患者术中压力性损伤危险因素调查表收集资料。主动脉手术患者术中压力性损伤的危险因素采用多因素Logistic回归分析，建立Nomogram模型，并采用ROC曲线验证模型预测的准确性。结果研究共收集样本400例，发生术中压力性损伤167例，发生率为41.75%。术前绝对卧床、术中深低温停循环、术中使用去甲肾上腺素、肾上腺素、多巴胺、术中受压部位浸湿是主动脉手术患者术中压力性损伤的危险因素（P<0.05）。以此建立Nomogram模型，C-index值为0.786，ROC曲线下面积为0.785，灵敏度为73.65%，特异度为68.67%。结论主动脉手术患者术中压力性损伤的Nomogram模型可以准确预测此类患者术中压力性损伤的发生风险，预测方法便捷、可操作性强、结果直观，便于临床护士快速、准确判断主动脉手术患者发生术中压力性损伤的风险。

简介：Objective:Tocreateanomogramtopredicttheincidenceoflymphnodemetastasis(LNM)inearlygastriccancer(EGC)patientsandtoexternallyvalidatethenomogram.Methods:Toconstructthenomogram,weretrospectivelyanalyzedaprimarycohortof272EGCpatients.Univariateanalysisandabinarylogisticregressionwereperformed.AnomogrampredictingtheincidenceofLNMinEGCpatientswascreated.Thediscriminationabilityofthenomogramwasmeasuredusingtheconcordanceindex(c-index),andthenomogramwasalsocalibrated.Then,anotherprospectivecohortof81patientswasanalyzedtovalidatethenomogram.Results:Intheprimarycohort,LNMwaspathologicallyconfirmedin37(13.6%)patients.Inmultivariateanalysis,thepresenceofanulcer,themaximumlesiondiameterobservedviagastroscopy,thethicknessofthelesionobservedviaendoscopicultrasonography,andthepresenceofenlargedlymphnodesoncomputedtomography(CT)wereindependentriskfactorsforLNM.Anomogramwasthencreatedbasedontheregressionmodelwiththec-indexof0.905,andthecalibrationcurveofthenomogramfellapproximatelyontheideal45-degreeline.Thecut-offscoreofthenomogramwas110,andthesensitivity,specificity,positivepredictiveandnegativepredictivevaluesofthenomogramintheprimarycohortwere81.1%,86.0%,47.6%and96.7%,respectively,andintheprospectivevalidationcohortwere75.0%,91.0%,60.0%and95.5%,respectively.Thecalibrationcurveoftheexternalvalidationcohortwasalmostonthe45-degreeline.Conclusions:WedevelopedaneffectivenomogrampredictingtheincidenceofLNMforEGCpatients.

简介：AbstractBackground:Acquired immune deficiency syndrome (AIDS)-related non-Hodgkin lymphoma (AR-NHL) is a high-risk factor for morbidity and mortality in patients with AIDS. This study aimed to determine the prognostic factors associated with overall survival (OS) and to develop a prognostic nomogram incorporating computed tomography imaging features in patients with acquired immune deficiency syndrome-related non-Hodgkin lymphoma (AR-NHL).Methods:A total of 121 AR-NHL patients between July 2012 and November 2019 were retrospectively reviewed. Clinical and radiological independent predictors of OS were confirmed using multivariable Cox analysis. A prognostic nomogram was constructed based on the above clinical and radiological factors and then provided optimum accuracy in predicting OS. The predictive accuracy of the nomogram was determined by Harrell C-statistic. Kaplan-Meier survival analysis was used to determine median OS. The prognostic value of adjuvant therapy was evaluated in different subgroups.Results:In the multivariate Cox regression analysis, involvement of mediastinal or hilar lymph nodes, liver, necrosis in the lesions, the treatment with chemotherapy, and the CD4 ≤100 cells/μL were independent risk factors for poor OS (all P < 0.050). The predictive nomogram based on Cox regression has good discrimination (Harrell C-index = 0.716) and good calibration (Hosmer-Lemeshow test, P = 0.620) in high- and low-risk groups. Only patients in the high-risk group who received adjuvant chemotherapy had a significantly better survival outcome.Conclusion:A survival-predicting nomogram was developed in this study, which was effective in assessing the survival outcomes of patients with AR-NHL. Notably, decision-making of chemotherapy regimens and more frequent follow-up should be considered in the high-risk group determined by this model.

简介：AbstractBackground:Pathological complete response (pCR) of axillary lymph nodes (ALNs) is frequently achieved in patients with clinically node-positive breast cancer after neoadjuvant chemotherapy (NAC), and ALN status is an important prognostic factor for breast cancer patients. This study aims to develop a new predictive clinical model to assess the ALN pCR rate after NAC.Methods:This was a retrospective series of 467 patients who had biopsy-proven positive ALNs at diagnosis and underwent ALN dissection from 2007 to 2014 at the National Cancer Center/Cancer Hospital of the Chinese Academy of Medical Sciences. We analyzed the clinicopathologic features of the patients and developed a nomogram to predict the probability of ALN pCR. A multivariable logistic regression stepwise model was used to construct a nomogram to predict ALN pCR in node-positive patients. The adjusted area under the receiver operating characteristic curve (AUC) was calculated to quantify the ability to rank patients by risk. Internal validation was performed using the 50/50 hold-out validation method. The nomogram was externally validated with prospective cohorts of 167 patients from 2016 to 2018 at the Cancer Hospital of the Chinese Academy of Medical Sciences and 114 patients from 2018 to 2020 at Beijing Tiantan Hospital.Results:In this retrospective study, 115 (24.6%) patients achieved ALN pCR after NAC. Multivariate analysis showed that clinical tumor stage (Odds ratio [OR]: 0.321, 95% confidence interval [CI]: 0.121-0.856; P = 0.023); primary tumor response (OR: 0.189; 95% CI: 0.123-0.292; P < 0.001), and estrogen receptor status (OR: 0.530, 95% CI: 0.304-0.925; P = 0.025) were independent predictors of ALN pCR. The nomogram was constructed based on the result of multivariate analysis. In the internal validation of performance of nomogram, the AUCs for the training and test sets were 0.719 and 0.753, respectively. The nomogram was validated in external cohorts with AUCs of 0.720, which demonstrated good discriminatory power in these data sets.Conclusion:We developed a nomogram to predict the likelihood of axillary pCR in node-positive breast cancer patients after NAC. The predictive model performed well in multicenter prospective external validation. This practical tool could provide information to surgeons regarding whether to perform additional ALN dissection after NAC.Trial registration:ChiCTR.org.cn, ChiCTR1800014968.

简介：摘要目的探讨住院结核患者发生抗结核药物性肝损伤（ATB-DILI）的影响因素，并建立Nomogram风险预测模型。方法回顾性收集2017年1月至2021年6月贵阳市公共卫生救治中心收治的5 681例住院结核病患者作为研究对象，其中男3 342例，女2 339例，将住院治疗过程中发生ATB-DILI的患者作为病例组（214例），非ATB-DILI患者作为对照组（5 427例）。回顾性分析患者的基线特征、结核病情、行为及疾病相关资料等，经卡方检验和多因素logistic 回归筛选分析影响因素，据此构建Nomogram模型并进行验证。使用决策曲线评估模型的临床实际应用价值。结果本次研究中共有3.8%（214/5 681）例患者发生ATB-DILI。经多因素logistic 回归分析得出肺外结核（OR=1.876，P<0.001）、营养不良（OR=4.411，P<0.001）、合并基础肝病（OR=4.961，P<0.001）以及间断使用护肝药（OR=2.137，P=0.007）是其发生ATB-DILI的独立危险因素；全程使用护肝药（OR=0.292，P<0.001）是其保护因素。将以上5个相关影响因素构建Nomogram模型，ROC曲线下面积为0.749（95%CI：0.713~0.786），敏感度0.640，特异度0.752。使用Bootstrap法内部重复抽样1 000次进行验证，平均绝对误差0.003，校正曲线和理想曲线基本拟合，预测值和实际值一致性较好。Hosmer-lemeshow检验显示，模型具有较好拟合度（χ2=3.068，P=0.381）。决策曲线显示Nomogram模型在高风险阈值范围（0.10~0.68）时，有着一定的临床实用性。结论本次研究所构建的住院结核患者抗结核药物性肝损伤Nomogram风险预测模型具有较好的预测性、一致性和临床实用性，能为临床在抗结核治疗过程中防控ATB-DILI并制定个体化治疗方案提供依据。

简介：无

简介：Abiraterone醋酸盐为阉割抵抗的前列腺癌症(CRPC)的治疗被同意；然而，它的效果变化。识别将得益于abiraterone治疗的耐心的组的一个精确预言模特儿着急地因此被要求。迟模型为风险分类展出好侧面，尽管它为化疗天真的组的用途是不清楚的。这研究试图外部地验证迟模型并且开发一张新诺模图预言全面幸存(OS)。我们回顾地分析了110个病人的一个队。病人们被散布在之中好--，中间--，并且差风险的组，根据迟模型的意见。好--，中间--，并且差风险的组有59的一种样品尺寸(53.6%)，34(30.9%)，并且17(15.5%)在我们的数据集，和48.4，29.1，和10.5个月的中部的OS分别地。迟模型的外部确认的C索引是0.726。Univariate和multivariate分析识别了低血红素集中(<110gl1),肝转移，和到abiraterone开始的从雄激素剥夺治疗的短时间间隔(<36个月)作为OS的预言者。因此，一张新诺模图与一个C索引平等者被开发到0.757(95%CI，0.678-0.836)。在结论，迟模型与mCRPC预言了对待abiraterone的、化疗天真的病人的预后，并且我们开发了一张新诺模图与更少的参数预言这组病人的全面幸存。