Evidence map›Paper›PMID 39344107›Full record

ArticleThe world journal of men's health2025

Predicting Survival in Patients with Neuroendocrine Prostate Cancer: A SEER-Based Comprehensive Study.

Tianlong Luo, Jintao Hu, Bisheng Cheng, Peixian Chen, Jianhan Fu, Haitao Zhong, Jinli Han, Hai Huang

Abstract read
In one paragraph

Article in The world journal of men's health, 2025. 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
–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

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. Article
  2. 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.

Tianlong Luo *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0009-0008-1677-1965
Jintao Hu *Department of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0009-0008-0578-3733
Bisheng ChengDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-6114-6623
Peixian ChenDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0003-0116-0754
Jianhan FuDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0009-0007-1866-3688
Haitao ZhongDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-8794-4949
Jinli HanDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China. hanjinli@mail.sysu.edu.cn.ORCID https://orcid.org/0000-0002-7645-5875
Hai HuangDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-2013-073X

Funding

Beijing Bethune Charitable Foundation mnzl202001Beijing Xisike Clinical Oncology Research Foundation Y-MSDZD2022-0760Beijing Xisike Clinical Oncology Research Foundation Y-tongshu2021/ms-0162Guangdong Provincial Clinical Research Center for Urological Diseases 2020B1111170006Guangzhou Science and Technology Key R&D Project 202206010117International Science and technology cooperation project plan of Guangdong Province 2021A0505030085Key R&D Plan of Guangdong Province 2023B1111030006National key R&D plan of China 2022YFC3602904National Natural Science Foundation of China 81974395National Natural Science Foundation of China 82173036Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital to Hai HuangSun Yat-Sen University Clinical Research 5010 Program 2019005The Science and Technology Planning Project of Guangdong Province 2023B1212060013
6 · The paper itself

Abstract

purposeNeuroendocrine prostate cancer (NEPC) represents a particularly aggressive subtype of prostate cancer with a challenging prognosis. The purpose of this investigation is to craft and confirm the reliability of nomograms that can accurately forecast the 1-, 3-, and 5-year overall survival (OS) and cancer-specific survival (CSS) rates for individuals afflicted with NEPC. MATERIALS AND

methodsData pertaining to patients diagnosed with NEPC within the timeframe of 2010 to 2020 was meticulously gathered and examined from the Surveillance, Epidemiology, and End Results Program (SEER). To predict OS and CSS, we devised and authenticated two distinct nomograms, utilizing predictive variables pinpointed through both univariate and multivariate Cox regression analyses.

resultsThe study encompassed 393 of NEPC patients, who were systematically divided into training and validation cohorts at a 2:1 ratio. Key prognostic factors were isolated, verified, and integrated into the respective nomograms for OS and CSS. The performance metrics, denoted by C-indices, stood at 0.730, 0.735 for the training set, and 0.784, 0.756 for the validation set. The precision and clinical relevance of the nomograms were further corroborated by the analysis of receiver operating characteristic curves, calibration plots, and decision curve analyses.

conclusionsThe constructed nomograms have demonstrated impressive efficacy in forecasting the 1-, 3-, and 5-year OS and rates for patients with NEPC. Implementing these predictive tools in clinical settings is anticipated to considerably enhance the care and treatment planning for individuals diagnosed with this aggressive form of prostate cancer, thus providing tailored and more precise prognostic assessments.

Indexed as

ObservationPrognosisProstatic neoplasmsSEER programSurvival

Identifiers

PMID39344107
PMCPMC11937360

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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.