Evidence map›Paper›PMID 42050916›Full record

ArticleThe Journal of international medical research2026

A multidimensional nomogram integrating immune, inflammatory, and coagulation markers for personalized prognosis in bladder cancer.

Yongpeng Li, Wei Wei, Chanzhen Liu, Haoyuan Lu, Rongchao Chen, Shengming Wu, Youzhi Lin, Huadong Xie, Chengjie Ban, Xianlin Yi and 1 more

Abstract read
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Article in The Journal of international medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yongpeng LiGuangxi Medical University Cancer Hospital, China.
Wei WeiGuangxi Medical University Cancer Hospital, China.
Chanzhen LiuGuangxi Medical University Cancer Hospital, China.ORCID 0000-0002-3606-7202
Haoyuan LuGuangxi Clinical Research Center for Bladder Cancer, China.
Rongchao ChenDepartment of Urology, Red Cross Hospital of Yulin City, China.
Shengming WuGuangxi Medical University Cancer Hospital, China.
Youzhi LinGuangxi Medical University Cancer Hospital, China.
Huadong XieDepartment of Urology, The Fourth Affiliated Hospital of Guangxi Medical University, China.
Chengjie BanDepartment of Urology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, China.
Xianlin YiMaternal and Child Health Hospital of Hubei province, Tongji Medical College, Huazhong University of Science and Technology China.
Yong TangGuangxi Medical University Cancer Hospital, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTo develop and validate an integrated prognostic model based on tumor immune microenvironmental, systemic inflammatory, and coagulation markers to improve prognostic stratification and personalize management for bladder cancer patients undergoing surgery.MethodsThis retrospective study analyzed 140 patients who underwent radical or partial cystectomy at our institution between 2013 and 2021. Cutoff values for continuous variables were determined using receiver operating characteristic analysis. Independent prognostic factors for overall survival were identified using univariate and multivariate Cox regression analyses. A nomogram was subsequently developed and validated using time-dependent receiver operating characteristic curves, calibration plots, and decision curve analysis.ResultsMultivariate analysis confirmed that tertiary lymphoid structure density, hemoglobin level, D-dimer level, platelet-to-lymphocyte ratio, and clinical stage are independent predictors of overall survival. The constructed nomogram demonstrated high predictive accuracy for 1-, 3-, and 5-year overall survivals, with area under the curve values of 0.868, 0.880, and 0.894, respectively. Calibration and decision curve analyses confirmed the model's excellent consistency and clinical utility. Risk stratification based on the nomogram revealed significant survival differences between the groups (

Indexed as

Biomarkers, TumorNomogramsUrinary Bladder NeoplasmsAgedBlood CoagulationCystectomyFemaleFibrin Fibrinogen Degradation ProductsHumansInflammationMaleMiddle AgedPrecision MedicinePrognosisRetrospective StudiesROC CurveBiomarkers, TumorFibrin Fibrinogen Degradation Productsfibrin fragment DBladder cancerD-dimerhemoglobinnomogramplatelet-to-lymphocyte ratioprognostic modelsurvival analysistertiary lymphoid structure

Identifiers

PMID42050916
PMCPMC13145064

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.