Evidence map›Paper›PMID 40224977›Full record

ArticleTranslational cancer research2025

Risk factors, prognostic factors and nomograms for distant metastasis in colorectal neuroendocrine neoplasms: a SEER-based study.

Yuqin Bai, Na Lei, Pan Zhang, Qian Yang, Fei Feng, Yue Zhao

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Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yuqin BaiThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Na LeiThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Pan ZhangThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Qian YangThe First Clinical Medical College, Lanzhou University, Lanzhou, China.
Fei FengDepartment of Ultrasound, The First Hospital of Lanzhou University, Lanzhou, China.
Yue ZhaoDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Distant metastasis is uncommon in colorectal neuroendocrine neoplasms (CRNENs). However, the prognosis of patients with distant metastasis is often poor, so it is crucial to detect distant metastasis in time. This article aims to study the risk factors and prognostic factors for the development of distant metastasis in patients with CRNENs and to construct two related nomograms. Methods: Patient data were obtained through the Surveillance, Epidemiology, and End Results (SEER) database, and the inclusion population was identified according to inclusion and exclusion criteria. Logistic regression analysis was used to determine risk factors for distant metastasis in patients with CRNENs. Cox regression analysis was utilized to identify prognostic factors in patients with CRNENs with distant metastasis. Two nomograms were created and the predictive performance of the nomogram was evaluated using receiver operating characteristic (ROC) curves, the calibration curve, and decision curve analysis (DCA) curves. Results: We included 9,142 patients with CRNENs and 859 patients with distant metastasis. Age, race, marital status, primary site, histological grade, T stage, N stage, and tumor size were independent risk factors. Age, primary site, histological grade, N stage, tumor size, dissected lymph nodes, and surgery were independent prognostic factors. The constructed nomogram can predict the occurrence and prognosis of distant metastasis in patients with CRNENs. Conclusions: The nomogram developed in this paper may contribute to the diagnosis and prognosis of distant metastasis in patients with CRNENs and may help clinicians make better clinical decisions.

Indexed as

Colorectal neuroendocrine neoplasms (CRNENs)distant metastasisnomogramSurveillance, Epidemiology, and End Results (SEER)

Identifiers

PMID40224977
PMCPMC11985195

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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.