Evidence map›Paper›PMID 29984064›Full record

ArticleJournal of gastric cancer2018

Modification of the TNM Staging System for Stage II/III Gastric Cancer Based on a Prognostic Single Patient Classifier Algorithm.

Yoon Young Choi, Eunji Jang, Won Jun Seo, Taeil Son, Hyoung-Il Kim, Hyeseon Kim, Woo Jin Hyung, Yong-Min Huh, Sung Hoon Noh, Jae-Ho Cheong

Open access · hybridAbstract read
In one paragraph

Article in Journal of gastric cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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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 3 institutions in 2 countries.

Yoon Young ChoiDepartment of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2179-7851
Eunji JangMediBio-Informatics Research Center, Novomics Co., Ltd., Seoul, Korea.ORCID https://orcid.org/0000-0002-5023-5006
Won Jun SeoDepartment of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3447-7790
Taeil SonDepartment of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-0327-5224
Hyoung-Il KimDepartment of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-6134-4523
Hyeseon KimMediBio-Informatics Research Center, Novomics Co., Ltd., Seoul, Korea.ORCID https://orcid.org/0000-0002-4964-1373
Woo Jin HyungDepartment of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-8593-9214
Yong-Min HuhYonsei Biomedical Research Institute, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-9831-4475
Sung Hoon NohDepartment of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4386-6886
Jae-Ho CheongDepartment of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-1703-1781
Yonsei University Health System · KRYonsei University · KRUniversity Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe modification of the cancer classification system aimed to improve the classical anatomy-based tumor, node, metastasis (TNM) staging by considering tumor biology, which is associated with patient prognosis, because such information provides additional precision and flexibility. MATERIALS AND

methodsWe previously developed an mRNA expression-based single patient classifier (SPC) algorithm that could predict the prognosis of patients with stage II/III gastric cancer. We also validated its utilization in clinical settings. The prognostic single patient classifier (pSPC) differentiates based on 3 prognostic groups (low-, intermediate-, and high-risk), and these groups were considered as independent prognostic factors along with TNM stages. We evaluated whether the modified TNM staging system based on the pSPC has a better prognostic performance than the TNM 8th edition staging system. The data of 652 patients who underwent gastrectomy with curative intent for gastric cancer between 2000 and 2004 were evaluated. Furthermore, 2 other cohorts (n=307 and 625) from a previous study were assessed. Thus, 1,584 patients were included in the analysis. To modify the TNM staging system, one-grade down-staging was applied to low-risk patients according to the pSPC in the TNM 8th edition staging system; for intermediate- and high-risk groups, the modified TNM and TNM 8th edition staging systems were identical.

resultsAmong the 1,584 patients, 187 (11.8%), 664 (41.9%), and 733 (46.3%) were classified into the low-, intermediate-, and high-risk groups, respectively, according to the pSPC. pSPC prognoses and survival curves of the overall population were well stratified, and the TNM stage-adjusted hazard ratios of the intermediate- and high-risk groups were 1.96 (95% confidence interval [CI], 1.41-2.72; P<0.001) and 2.54 (95% CI, 1.84-3.50; P<0.001), respectively. Using Harrell's C-index, the prognostic performance of the modified TNM system was evaluated, and the results showed that its prognostic performance was better than that of the TNM 8th edition staging system in terms of overall survival (0.635 vs. 0.620, P<0.001).

conclusionsThe pSPC-modified TNM staging is an alternative staging system for stage II/III gastric cancer.

Indexed as

biomarkerClassificationgastric cancerprognosisstaging

Identifiers

PMID29984064
PMCPMC6026714
OpenAlexW2807324669

What OpenQuestion holds

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LicenceCC BY-NC
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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.