Evidence map›Paper›PMID 34532084›Full record

ArticleJournal of gastrointestinal oncology2021

Construction and evaluation of prognostic models for esophageal cancer patients with distant and non-distant metastases: providing a reference process for clinical diagnosis and treatment.

Mingxin Zhang, Manli Cui, Qianqian Zuo, Li Wang, Jia Wang, Lin Zhu, Rong Yan, Ning Lu, Honglin Yan, Lingmin Zhang

Open access · diamondAbstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 2 institutions in 1 country.

Mingxin ZhangDepartment of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Manli CuiDepartment of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Qianqian ZuoDepartment of Oncology Geriatrics, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Li WangDepartment of Scientific Research, The Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Jia WangDepartment of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Lin ZhuDepartment of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Rong YanDepartment of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Ning LuDepartment of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Honglin YanDepartment of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Lingmin ZhangDepartment of Anesthesiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xi'an Medical University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the current treatment for esophageal cancer has great technological progress, the 5-year survival rate of patients is not optimistic. About 70% of patients with esophageal cancer are at an advanced stage at first diagnosis. These patients are prone to distant metastasis, and the prognosis is poor. Therefore, understanding the risk factors for distant metastasis in patients with esophageal cancer, combined with the prognosis of the patient, can aid in choosing the optimal diagnosis and treatment plan. Ultimately, it will improve the patient's survival time and quality of life. This research aims to construct a model for the risk assessment of distant metastasis in patients with esophageal cancer and prognostic models for patients with distant and non-distant metastases.

methodsThe Surveillance Epidemiology and End Results (SEER) database was used to select patients with esophageal cancer from 2010 to 2015. The optimal cutoff point was selected for the age and tumor size variables using X-tile. The nomogram was constructed using R software (The R Foundation for Statistical Computing).

resultsGender, grade, T stage, N stage, and tumor size were independent risk factors associated with distant metastasis in patients with esophageal cancer. The concordance index (C-index) of the nomogram prediction model for whether the patient will have distant metastasis was 0.609. Age, grade, T stage, N stage, and tumor size were independent risk factors affecting the prognosis without distant metastasis. The C-index of the nomogram prediction model for patients with distant metastases was 0.590. Age and T stage were independent risk factors affecting the prognosis of patients with distant metastases. The C-index of the nomogram prediction model was 0.543. The combination of radiotherapy, chemotherapy, and primary surgery yielded the best overall survival for both patients with distant metastases and patients with non-distant metastases.

conclusionsA comprehensive assessment of the risk of distant metastasis in patients with esophageal cancer, combined with prognosis prediction, is necessary to provide patients with a reasonable treatment plan.

Indexed as

distant metastasisEsophageal cancernomogram

Identifiers

PMID34532084
PMCPMC8421894
OpenAlexW3195532318

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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.