Evidence map›Paper›PMID 36388034›Full record

ArticleTranslational cancer research2022

Clinical features and prognostic factors of esophageal signet ring cell carcinoma: construction and validation of a model based on the SEER database.

Rongrong Xie, Guangrong Lu, Lili Li

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. 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
0.4field-weighted citation impact, top 37% 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, 2 citations in OpenAlex.

  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

3 authors at 2 institutions in 1 country.

Rongrong Xie *Departments of Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Guangrong Lu *Department of Gastroenterology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Lili LiDepartments of Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Wenzhou Medical University · CNFirst Affiliated Hospital of Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Signet ring cell carcinoma (SRCC) of the esophagus is a rare subtype of esophagus cancer with a poor prognosis. Our study aimed to determine the prognostic factors and establish nomograms to predict overall survival (OS) and cancer-specific survival (CSS) for patients with esophageal SRCC. Methods: A total of 401 esophageal SRCC patients were identified from Surveillance Epidemiology and End Results (SEER) database and randomly divided into training and validation groups. We integrated the significant prognostic factors identified by multivariate cox analysis and construct nomograms to predict 2- and 5-year OS and CSS. Then, we evaluated the performance of the nomograms through concordance index (C-index), calibration curve, and the area under the curve (AUC) of the receiver operating characteristic curve. Results: Multivariate Cox analysis revealed that American Joint Committee on Cancer (AJCC) stage, chemotherapy and surgery were associated with both OS and CSS. The C-indexes for OS and CSS predicted nomograms were 0.773 and 0.806, respectively. The calibration curves demonstrated good agreement between the actual observation and the nomogram prediction. Furthermore, the novel nomograms displayed higher AUC values in predicting OS and CSS compared to the 7th Tumor-Node-Metastasis (TNM) staging system. Conclusions: AJCC stage, chemotherapy and surgery were independent prognostic factors in esophageal SRCC patients. The proposed three-factor nomogram can assist clinicians predict the accurate prognosis of esophageal SRCC, thus contributing to individualized clinical practice.

Indexed as

Carcinomanomogramsprognosissignet ring cellsurvival analysis

Identifiers

PMID36388034
PMCPMC9641096
OpenAlexW4292997960

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.