Evidence map›Paper›PMID 33063464›Full record

ArticleCancer medicine2020

Development and validation of a prognostic nomogram for predicting cancer-specific survival after radical cystectomy in patients with bladder cancer:A population-based study.

Zhiqiang Yang, Yunjin Bai, Maoying Liu, Xu Hu, Ping Han

Abstract readValidation Study
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  4. Development and Validation of a Competitive Risk Model in Elderly Patients with Transitional Cell Bladder Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhiqiang YangDepartment of Urology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Yunjin BaiDepartment of Urology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Maoying LiuAnyue Hengkang Hospital, Anyue County, People's Republic of China.
Xu HuWest China School of Medicine/West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Ping HanDepartment of Urology, West China Hospital, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0003-0537-3829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo establish a prognostic model to estimate the cancer-specific survival (CSS) for urothelial carcinoma of bladder (UCB) patients after radical cystectomy (RC).

methodsA total of 8650 candidates (2004-2011) obtained from the Surveillance, Epidemiology, and End Results (SEER) database were randomly split into development cohort (n = 4323) and validation cohort (n = 4327). We performed Cox regression analysis to identify prognostic factors and Kaplan-Meier analysis to assess survival outcome. A nomogram predicting CSS was constructed. Its performance was validated by calibration curves, the receiver operating characteristic (ROC) curves, concordance index (C-index), decision curve analysis (DCA), the net reclassification improvement (NRI), and the integrated discrimination improvement (IDI).

resultsThe nomogram incorporated marital status, T stage, N stage, tumor size, and chemotherapy. In validation cohort, C-index of the nomogram was 0.707. AUC of the nomogram and AJCC stage were 0.767 versus 0.674. Calibration plots for 3- and 5-year CSS displayed good concordance. DCA curves of the nomogram exhibited larger benefits than the AJCC stage. The NRI and IDI indicated the nomogram outperformed AJCC stage.

conclusionsWe have established a prognostic nomogram with improved discriminative ability and clinical benefits for UCB patients after RC. The nomogram alongside an easy access web tool may assist clinicians in optimizing the postoperative management.

Indexed as

NomogramsAgedAged, 80 and overCystectomyDatabases, FactualFemaleHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesRisk AssessmentROC CurveSEER ProgramSurvival Ratebladder cancernomogramprognosisradical cystectomySEER database

Identifiers

PMID33063464
PMCPMC7774742

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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.