Evidence map›Paper›PMID 38956613›Full record

ArticleJournal of cardiothoracic surgery2024

Is the burden of metastatic lymph node stations a prognostic factor in patients with resected lung cancer?

Necati Çitak, Volkan Erdogu, Yunus Aksoy, Ayşegül Ciftci, Nisa Yildiz, Özgür İsgörücü, Servet Ozdemir, Selçuk Kose, Kenan Can Ceylan, Muzaffer Metin

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Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Necati Çitak *Dr. Suat Seren Chest Disease and Thoracic Surgery Research and Education Hospital, Izmir, Turkey. necomomus@gmail.com.
Volkan Erdogu *Yedikule Chest Disease and Thoracic Surgery Research and Education Hospital, Istanbul, Turkey.
Yunus AksoyYedikule Chest Disease and Thoracic Surgery Research and Education Hospital, Istanbul, Turkey.
Ayşegül CiftciYedikule Chest Disease and Thoracic Surgery Research and Education Hospital, Istanbul, Turkey.
Nisa YildizYedikule Chest Disease and Thoracic Surgery Research and Education Hospital, Istanbul, Turkey.
Özgür İsgörücüYedikule Chest Disease and Thoracic Surgery Research and Education Hospital, Istanbul, Turkey.
Servet OzdemirBakırkoy Dr. Sadi Konuk Research and Education Hospital, Istanbul, Turkey.
Selçuk KoseBakırkoy Dr. Sadi Konuk Research and Education Hospital, Istanbul, Turkey.
Kenan Can CeylanDr. Suat Seren Chest Disease and Thoracic Surgery Research and Education Hospital, Izmir, Turkey.
Muzaffer MetinYedikule Chest Disease and Thoracic Surgery Research and Education Hospital, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe burden of metastatic lymph node (LN) stations might reflect a distinct N subcategory with a more aggressive biology and behaviour than the traditional N classification.

methodsBetween 2008 and 2018, we analyzed 1236 patients with pN1/2 lung cancer. Survival was analyzed based on LN station metastasis, determining the optimal threshold for the number of metastatic LN stations that provided additional prognostic information. N prognostic subgrouping was performed using thresholds for the number of metastatic LN stations with the maximum chi-square log-rank value, and validated at each pT-stage.

resultsSurvival showed stepwise statistical deterioration with an increase in the number of metastatic LN stations., Threshold values for the number of metastatic LN stations were determined and N prognostic subgroupswas created as sN-alpha; one LN station metastases (n = 632), sN-beta; two-three LN stations metastases (n = 505), and sN-gamma; ≥4 LN stations metastasis (n = 99). The 5-year survival rate was 57.7% for sN-alpha, 39.2% for sN-beta, and 12.7% for sN-gamma (chi-square log rank = 97.906, p < 0.001). A clear tendency of survival deterioration was observed from sN-alpha to sN-gamma in the same pT stage, except for pT4 stage. Multivariate analysis showed that age (p < 0.001), sex (p = 0.002), tumour histology (p < 0.001), IASLC-proposed N subclassification (p < 0.001), and sN prognostic subgroups (p < 0.001) were independent risk factors for survival.

conclusionThe burden of metastatic LN stations is an independent prognostic factor for survival in patients with lung cancer. It could provide additional prognostic information to the N classification.

Indexed as

Lung NeoplasmsLymphatic MetastasisLymph NodesAdultAgedAged, 80 and overFemaleHumansLymph Node ExcisionMaleMiddle AgedNeoplasm StagingPneumonectomyPrognosisRetrospective StudiesSurvival RateLymph Node StationMetastasisNodal classificationNon-small cell Lung CancerPrognosis

Identifiers

PMID38956613
PMCPMC11221125

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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.