Evidence map›Paper›PMID 36983650›Full record

ArticleJournal of personalized medicine2023

Clinical-Pathological Characteristics of Adenosquamous Esophageal Carcinoma: A Propensity-Score-Matching Study.

Xinxin Xu, Feng Jiang, Yihan Guo, Hu Chen, Jiayi Qian, Leilei Wu, Dong Xie, Guangxia Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of personalized medicine, 2023. 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. Review
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

8 authors.

Xinxin XuDepartment of Gastroenterology, The Affiliated Clinical College of Xuzhou Medical University, Xuzhou 221002, China.
Feng JiangDepartment of Oncology, Zhongda Hospital, Southeast University, Nanjing 210009, China.ORCID 0000-0002-2308-7351
Yihan GuoDepartment of Scientific Research, Shaanxi Academy of Social Sciences, Xi'an 710061, China.
Hu ChenDepartment of Gastroenterology, The Affiliated Clinical College of Xuzhou Medical University, Xuzhou 221002, China.
Jiayi QianDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200092, China.ORCID 0000-0002-7112-9931
Leilei WuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200092, China.ORCID 0000-0002-7417-6864
Dong XieDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai 200092, China.ORCID 0000-0002-3715-1801
Guangxia ChenDepartment of Gastroenterology, The Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou 221002, China.ORCID 0000-0002-3540-3382

Funding

Xuzhou Municipal Health and Health Commission Medical Leading Talents Training Program XWRCHT20210025Xuzhou Science and Technology Plan Project KC21169
6 · The paper itself

Abstract

There are few studies on esophageal adenosquamous carcinoma (ADSC). Our study intended to investigate the clinical and survival features of ADSC. We included esophageal cancer (EC) data from the Surveillance, Epidemiology, and End Results program database to explore clinical and survival traits. Propensity score matching (PSM), the multivariate Cox regression model, and survival curves were used in this study. A total of 137 patients with ADSC were included in our analysis. The proportion of ADSC within the EC cohort declined from 2004 to 2018. Besides, results indicated no significant difference in survival between ADSC and SCC groups (PSM-adjusted HR = 1.249,

Indexed as

esophageal adenosquamous carcinomapropensity score matchingproportionsurvival

Identifiers

PMID36983650
PMCPMC10057829

What OpenQuestion holds

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Registered trials

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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.