Evidence map›Paper›PMID 36054738›Full record

ArticleThoracic cancer2022

Log odds of positive lymph nodes is a robust predictor of survival and benefits from postoperative radiotherapy in stage IIIA-N2 resected non-small cell lung cancer.

Xing Jin, Donglai Chen, Yumei Shen, Jian Shu, Yonghua Sang, Wentao Yang, Shanzhou Duan, Yongbing Chen

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 7 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

8 authors at 2 institutions in 1 country.

Xing Jin *Department of Thoracic Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Donglai Chen *Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0001-7603-4803
Yumei Shen *Department of Operation, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Jian ShuDepartment of Cardiothoracic Surgery, Taicang Affiliated Hospital of Soochow University, Taicang, China.
Yonghua SangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Wentao YangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID 0000-0003-1957-3661
Shanzhou DuanDepartment of Thoracic Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Yongbing ChenDepartment of Thoracic Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID 0000-0002-7595-092X
Soochow University · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe significance of postoperative adjuvant radiotherapy (PORT) on the survival of resected IIIA-N2 non-small cell lung cancer (NSCLC) remains controversial. Here, we aimed to determine the predictive value of the three nodal classifications which might aid in PORT decision-making.

methodsA total of 4797 patients with stage IIIA-N2 resected NSCLC were identified in the Surveillance, Epidemiology and End Results (SEER) database and were grouped by whether PORT was administered. Survival analysis was used to identify the patient groups who can benefit from PORT. Multivariate analysis was performed to confirm the independent risk factors for lung cancer-specific survival (LCSS) and overall survival (OS). A validation cohort of 1184 patients from three medical centers in China were also included.

resultsPORT was not associated with better LCSS and OS in the entire cohort after propensity score matching (PSM). However, in the subgroups of positive lymph nodes 4 (PLN4), lymph node ratio 4 (LNR4), and log odds of positive lymph nodes 4 (LODDS4), PORT exhibited its role in improving LCSS (p < 0.05). Although the three nodal classifications were all identified as independent predictors of LCSS and OS, LODDS classification had the best discriminatory ability and prognostic accuracy for stage IIIA-N2 patients. Similar results were also obtained in the validation cohort.

conclusionsThe LODDS classification not only exhibited the best prognostic performance in predicting LCSS and OS in stage IIIA-N2 disease, but also could help tailor individualized PORT.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsTesticular NeoplasmsHumansLymph NodesMaleNeoplasm StagingPrognosisRadiotherapy, Adjuvantlymph node classification systemNSCLCPORTSEERsurvival

Identifiers

PMID36054738
PMCPMC9527160
OpenAlexW4292877920

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.