Evidence map›Paper›PMID 41249437›Full record

ArticleNPJ digital medicine2025

Therapeutic outcomes of different treatment approaches for T1a-M3/T1b esophageal cancer and development of a prognostic prediction model.

Aijing Zhu, Shu Huang, Shuaijing Huang, Yang Zhou, Yan Liang, Chunxiao Yue, Xiaoyu Bai, Jiawei Li, Yadong Feng

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Aijing Zhu *Department of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu Province, China.
Shu Huang *Department of Gastroenterology, Lianshui People's Hospital Affiliated to Kangda College of Nanjing Medical University, Huai'an, 223400, China.
Shuaijing HuangDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu Province, China.
Yang ZhouDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu Province, China.
Yan LiangDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu Province, China.
Chunxiao YueDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu Province, China.
Xiaoyu BaiDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu Province, China.
Jiawei LiDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu Province, China.
Yadong FengDepartment of Gastroenterology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, Jiangsu Province, China. drfengyd@126.com.

Funding

Jiangsu Provincial Special Program of Clinical Medical Science BE2019710Southeast University, Jiangsu Province High-Level Hospital Construction Funds 2024GSPKY06
6 · The paper itself

Abstract

The optimal treatment for esophageal cancer (EC) invading the muscularis mucosa (T1a-M3) or submucosa (T1b) remains debated. This study analyzed patients with stage T1a-M3/T1b EC from the SEER database (cycle 2004-2017). Cancer-specific survival (CSS) and overall survival (OS) were compared across five groups. Primary analysis used stable inverse probability treatment weighting (sIPTW), while sensitivity analysis applied propensity score matching (PSM) and external datasets. After sIPTW adjustment, endoscopic therapy showed significantly better CSS and OS than chemoradiotherapy (CRT) (both P < 0.0001). Compared to radical resection, endoscopic treatment had superior CSS (P = 0.038) without observed significant difference in OS (P = 0.50). Four variable selection methods built the optimal predictive model, validated internally and externally. Internal AUC values at 1, 3, and 5 years were 0.730, 0.743, and 0.769, respectively; external AUC values were 0.765, 0.731, and 0.785.

Identifiers

PMID41249437
PMCPMC12624076

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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.