Evidence map›Paper›PMID 35790429›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2022

[Development and validation of a prognostic model based on SEER data for patients with esophageal carcinoma after esophagectomy].

C Luo, G Wang, L Hu, Y Qiang, C Zheng, Y Shen

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2022. 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
–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

1 citing paper in PubMed.

  1. [A coupled diffusion-based model of interaction between tumor metastasis and myeloid-derived suppressive cells].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    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

6 authors.

C LuoDepartment of Cardiothoracic Surgery, Eastern Theater General Hospital, Southern Medical University, Guangzhou 510515, China.
G WangDepartment of Thoracic Surgery, Xuzhou Central Hospital, Xuzhou 221009, China.
L HuDepartment of Cardiothoracic Surgery, Eastern Theater General Hospital, Medical School of Nanjing University, Nanjing 210000, China.
Y QiangDepartment of Cardiothoracic Surgery, Eastern Theater General Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
C ZhengDepartment of Cardiothoracic Surgery, Eastern Theater General Hospital, School of Medicine, Southeast University, Nanjing 210009, China.
Y ShenDepartment of Cardiothoracic Surgery, Eastern Theater General Hospital, Southern Medical University, Guangzhou 510515, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a nomogram to predict the long-term survival of patients with esophageal cancer following esophagectomy.

methodsWe collected the data of 7215 patients with esophageal carcinoma from the Surveillance, Epidemiology, and End Results (SEER) database during the period from 2004 and 2016. Of these patients, 5052 were allocated to the training cohort and the remaining 2163 patients to the internal validation cohort using bootstrap resampling, with another 435 patients treated in the Department of Cardiothoracic Surgery of Jinling Hospital between 2014 and 2016 serving as the external validation cohort.

resultsIn the overall cohort, the 1-, 3-, and 5-year cancer-specific mortality rates were 14.6%, 35.7% and 41.6%, respectively. Age (≥80 years

conclusionThis prognostic model has a high prediction efficiency and can help to identify the high-risk patients with esophageal carcinoma after surgery and serve as a supplement for the current TNM staging system.

Indexed as

Esophageal NeoplasmsEsophagectomyAged, 80 and overFemaleHumansMalePrognosisRisk FactorsSEER Programcancer-specific survivalesophageal carcinomanomogramoverall survivalprognosisSEER database

Identifiers

PMID35790429
PMCPMC9257361

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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.