Evidence map›Paper›PMID 36686764›Full record

ArticleFrontiers in oncology2022

Prognostic relevance of rib invasion and modification of T description for resected NSCLC patients: A propensity score matching analysis of the SEER database.

Yiyong Chen, Juan Zhang, Jing Chen, Zijie Yang, Yun Ding, Wenshu Chen, Tianxing Guo, Lilan Zhao, Xiaojie Pan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 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. 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

9 authors.

Yiyong ChenShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Juan ZhangShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Jing ChenDepartment of Pharmacy, Fujian Children's Hospital, Fuzhou, Fujian, China.
Zijie YangShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Yun DingClinical School of Thoracic, Tianjin Medical University, Tianjin, China.
Wenshu ChenShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Tianxing GuoShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Lilan ZhaoShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Xiaojie PanShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The impact of rib invasion on the non-small cell lung cancer (NSCLC) T classifications remains unclear. Our study aims to verify the impact of rib invasion on survival in patients with NSCLC through multicenter data from the Surveillance, Epidemiology, and End Results (SEER) database, and proposed a more appropriate pT for the forthcoming 9 Method: The SEER database was used to collect T Result: Survival outcomes of the rib invasion group were worse than the other pT3 group (OS: 40.5% Conclusion: The rib invasion group had a worse prognosis than the other pT3 groups, but was similar to the pT4 group. Our recommendation is to change the classification of rib invasion to pT4 disease and further validate this in the forthcoming 9

Indexed as

non-small cell lung cancerpathological T classificationpropensity score matchingrib invasionSEER database

Identifiers

PMID36686764
PMCPMC9846632

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