Evidence map›Paper›PMID 36581725›Full record

ArticleAnnals of surgical oncology2023

ASO Author Reflections: A Multiomic Novel Staging System for Esophageal Squamous Cell Carcinoma Patients.

Shao-Jun Zheng, En-Min Li, Li-Yan Xu

Abstract read
PubMed Publisher
In one paragraph

Article in Annals of surgical oncology, 2023. 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
0.2field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Shao-Jun ZhengGuangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Institute of Oncologic Pathology, Cancer Research Center, Shantou University Medical College, Shantou, Guangdong, China.
En-Min LiGuangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Institute of Oncologic Pathology, Cancer Research Center, Shantou University Medical College, Shantou, Guangdong, China.
Li-Yan XuGuangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology, Institute of Oncologic Pathology, Cancer Research Center, Shantou University Medical College, Shantou, Guangdong, China. lyxu@stu.edu.cn.ORCID http://orcid.org/0000-0002-1618-4292
Shantou University · CN

Funding

2020 Li Ka Shing Foundation Cross-Disciplinary Research Grant of Hong Kong 2020LKSFG07BInnovative Team Grant of Guangdong Department of Education 2021KCXTD005Science and Technology Special Fund of Guangdong Province of China 210713176903543Science and Technology Special Fund of Guangdong Province of China 210729156901797
6 · The paper itself

Abstract

The past eighth edition of the American Joint Committee on Cancer (AJCC)/International Union against Cancer (UICC) pathologic tumor-node-metastasis (pTNM) staging system for esophageal squamous cell carcinoma (ESCC) patients, which also is the gold standard of postoperative treatment decision-making, needs to be continuously improved. To improve the efficiency of the staging system, the proteomic data from Chinese ESCC patients was combined with preoperative radiomic data and pTNM data to establish the multiomic RadpTNM and ProtRadpTNM models and compare them with the traditional pTNM staging system. The results suggest that both the RadpTNM and ProtRadpTNM models are significantly better than the traditional pTNM staging system. Future prospective multicentered cohort studies in Asian and Caucasian patients with ESCC are warranted to evaluate the efficiency of the multiomic models.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaHumansMultiomicsNeoplasm StagingPrognosisProteomicsRetrospective Studies

Identifiers

PMID36581725
OpenAlexW4313312963

What OpenQuestion holds

Textmetadata
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.