Evidence map›Paper›PMID 37070910›Full record

ArticleEuropean review for medical and pharmacological sciences2023

Nomograms for predicting survival in patients with gastric carcinoid or neuroendocrine carcinoma based on the SEER database.

H Shi, S-Y Sun, S-S Liu, X-N Liu, Y-S He, Q Peng

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In one paragraph

Article in European review for medical and pharmacological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

H ShiDepartment of Gastroenterology, The Central Hospital of Shaoyang, University of South China, Shaoyang, Hunan Province, China. pq1232020@163.com.
S-Y Sun
S-S Liu
X-N Liu
Y-S He
Q Peng
The Central Hospital of Shaoyang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to construct a competent model that can effectively predict the prognosis of patients with gastric carcinoid (GC) or neuroendocrine carcinoma (NEC). PATIENTS AND

methodsData of patients with GC or NEC were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database from 1975 to 2017. Univariable and multivariable Cox analysis was used to determine the independent factors for patients with GC or NEC. Nomograms were established based on the independent factors and the results were evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).

resultsA total of 214 patients with GC and 65 patients with gastric NEC were extracted from the SEER database. Independent prognostic factors for patients with GC were M stage, gender, age, and chemotherapy. Independent prognostic factors for patients with gastric NEC included age, M stage, and chemotherapy. ROC curves, calibration curves, and DCA confirmed that the nomograms can precisely predict the prognosis of patients with GC and NEC.

conclusionsThe nomograms can effectively predict survival in patients with GC or NEC, which may assist the clinician in their decision-making and quantitatively judge the prognosis of individual patients.

Indexed as

Carcinoid TumorCarcinoma, NeuroendocrineGastrointestinal NeoplasmsNomogramsHumansNeoplasm StagingPrognosisStomach Neoplasms

Identifiers

PMID37070910
OpenAlexW4366234662

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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.