Evidence map›Paper›PMID 38458812›Full record

ArticleBMJ open2024

Development of a prognostic model for long-term survival of young patients with bladder cancer: a retrospective analysis of the SEER Database.

Liuxiong Guo, Liang Liu, Yixuan Liu, Tao Yang, Gang Wang, Junjiang Liu, Suwei Li, Jianhui Cai

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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
    Article
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

8 authors at 3 institutions in 1 country.

Liuxiong GuoDepartment of Graduate School, Hebei Medical University, Shijiazhuang, Hebei, China.
Liang LiuUrology, Baoding No 1 Central Hospital, Baoding, Hebei, China.ORCID 0000-0003-1372-4596
Yixuan LiuRheumatology and Immunology, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang, Hebei, China.
Tao YangDepartment of Surgery and Urology, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang, Hebei, China.
Gang WangDepartment of Surgery and Urology, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang, Hebei, China.
Junjiang LiuDepartment of Surgery and Urology, Hebei General Hospital Affiliated to Hebei Medicine University, Shijiazhuang, Hebei, China.
Suwei LiYETEM Biotechnology Hebei Corporation, Ltd, Zhengding Area of Hebei Free Trade Zone, Shijiazhuang, Hebei, China.
Jianhui CaiDepartment of Graduate School, Hebei Medical University, Shijiazhuang, Hebei, China jhuicai@163.com.
Hebei General Hospital · CNHebei Medical University · CNBaoding People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to present the clinical characteristics of young patients with bladder cancer (YBCa), evaluate related risk factors and construct a nomogram based on data acquired from the Surveillance, Epidemiology, and End Results (SEER) Database.

designRetrospective analysis of the SEER Database (2004-2015) for primary YBCa. SETTING AND

participantsData for YBCa (defined as those aged 40 years or younger) were extracted from the SEER Database, which covers approximately 28% of the US population, using the SEER*Stat software (V.8.4.0.1). A total of 1233 YBCa were identified. Patients were randomly assigned to the training and validation sets. The database included clinicopathological features, demographic information and survival outcomes, such as age, gender, race, year of diagnosis, marital status at diagnosis, primary tumour site, histological type, tumour grade, tumour, node, metastases (TNM) staging, treatment regimen for the primary tumour, cause of death and survival time. A nomogram model was developed using univariate and multivariate analyses. The prediction model was validated using the consistency index (C-index), calibration curve and receiver operating characteristic curve. PRIMARY OUTCOME MEASURES: 3-year, 5-year and 10-year overall survival (OS).

results1233 YBCa from 2004 to 2015 were randomly assigned to the training set (n=865) and validation set (n=368). Age, marital status, tumour grade, histological type and TNM staging were included in the nomogram. The C-index of the model was 0.876. The 3-year, 5-year and 10-year OS area under the curve values for the training and validation sets were 0.949, 0.923 and 0.856, and 0.919, 0.890 and 0.904, respectively. Calibration plots showed that the nomogram had a robust predictive accuracy.

conclusionsTo our knowledge, this is the first study to establish a precise nomogram predicting the 3-year, 5-year and 10-year OS in YBCa based on multivariate analyses. Our nomogram may serve as a valuable reference for future diagnostics and individualised treatments for YBCa. However, external validation is warranted to assess the accuracy and generalisability of our prognostic model.

Indexed as

Urinary Bladder NeoplasmsCalibrationHumansNomogramsPrognosisRetrospective StudiesEpidemiologyPrognosisRisk FactorsUrological tumours

Identifiers

PMID38458812
PMCPMC10928756
OpenAlexW4392766419

What OpenQuestion holds

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Registered trials

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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.