Evidence map›Paper›PMID 31612421›Full record

ArticleInternational urology and nephrology2020

Nomograms for predicting long-term overall survival and cancer-specific survival in patients with primary urethral carcinoma: a population-based study.

Hao Zi, Lei Gao, Zhaohua Yu, Chaoyang Wang, Xuequn Ren, Jun Lyu, Xiaodong Li

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in International urology and nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Identifying the risk features for occupational stress in medical workers: a cross-sectional study.International archives of occupational and environmental health · 2022
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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

7 authors.

Hao ZiInstitute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, Henan, China.
Lei GaoInstitute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, Henan, China.
Zhaohua YuInstitute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, Henan, China.
Chaoyang WangInstitute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, Henan, China.
Xuequn RenInstitute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, Henan, China.
Jun LyuClinical Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xiaodong LiInstitute of Evidence-Based Medicine and Knowledge Translation, Henan University, Kaifeng, Henan, China. hndxhhyylxd@126.com.ORCID http://orcid.org/0000-0002-0002-6230

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur aim was to identify the independent prognostic factors in patients with primary urethral carcinoma (PUC) and to predict their overall survival (OS) and cancer-specific survival (CSS) at 3, 5, and 8 years.

methodsPatients with PUC identified in the Surveillance, Epidemiology, and End Results (SEER) database were divided into training and validation cohorts. Nomograms were constructed based on the results of Cox regression analysis. The predictive performance of each nomogram was evaluated using the consistency index (C-index), the area under the receiver operating characteristics curve (AUC), and calibration plots. Decision-curve analysis (DCA) was used to test the clinical value of the predictive models.

resultsOur study screened 822 patients with PUC. Multivariate analysis showed that the age at diagnosis, race, histology, American Joint Committee on Cancer (AJCC) stage, and surgery status were independent prognostic factors for CSS and age at diagnosis, race, histology, AJCC stage, surgery status, and chemotherapy for OS (all P < 0.05). We used these prognostic factors to construct nomograms. The C-indexes for OS and CSS were 0.713 and 0.741 in training cohorts and 0.714 and 0.738 in validation cohorts, respectively. The AUC and calibration plots demonstrated the good performance of both nomograms. The DCA indicated the presence of clinical net benefits in both the training and validation cohorts.

conclusionWe developed and validated nomograms for predicting OS and CSS in patients with PUC, which can help clinicians make treatment decisions.

Indexed as

NomogramsAdenocarcinomaAgedAge FactorsAntineoplastic AgentsArea Under CurveBlack or African AmericanCarcinoma, Squamous CellCarcinoma, Transitional CellFemaleHumansMaleNeoplasm StagingPrognosisProportional Hazards ModelsROC CurveAntineoplastic AgentsCancer-specific survivalNomogramOverall survivalPrimary urethral carcinomaSEER

Identifiers

PMID31612421

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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.