<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wu LL</submitter><funding>Science and Technology Commission of Shanghai Municipality</funding><funding>Shanghai ShenKang Hospital Development Centre</funding><pagination>168</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10288722</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>24(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>The current nodal (pN) classification still has limitations in stratifying the prognosis of small cell lung cancer (SCLC) patients with pathological classifications T1-2N0-2M0. Thus. This study aimed to develop and validate a modified nodal classification based on a multicenter cohort.&lt;h4>Materials and methods&lt;/h4>We collected 1156 SCLC patients with pathological classifications T1-2N0-2M0 from the Surveillance, Epidemiology, and End Results database and a multicenter database in China. The X-tile software was conducted to determine the optimal cutoff points of the number of examined lymph nodes (ELNs) and lymph node ratio (LNR). The Kaplan-Meier method, the Log-rank test, and the Cox regression method were used in this study. We classified patients into three pathologic</pubmed_abstract><journal>Respiratory research</journal><pubmed_title>Reconsidering N component of cancer staging for T1-2N0-2M0 small-cell lung cancer: a retrospective study based on multicenter cohort.</pubmed_title><pmcid>PMC10288722</pmcid><funding_grant_id>SHDC22020218</funding_grant_id><funding_grant_id>21Y11913400</funding_grant_id><pubmed_authors>Lin P</pubmed_authors><pubmed_authors>Long H</pubmed_authors><pubmed_authors>Qian JY</pubmed_authors><pubmed_authors>Jiang F</pubmed_authors><pubmed_authors>Zhang LJ</pubmed_authors><pubmed_authors>Li CW</pubmed_authors><pubmed_authors>Qiu LH</pubmed_authors><pubmed_authors>Yu WJ</pubmed_authors><pubmed_authors>Li K</pubmed_authors><pubmed_authors>Xie D</pubmed_authors><pubmed_authors>Liang SH</pubmed_authors><pubmed_authors>Ma GW</pubmed_authors><pubmed_authors>Chen X</pubmed_authors><pubmed_authors>Wu LL</pubmed_authors><pubmed_authors>Li ZX</pubmed_authors></additional><is_claimable>false</is_claimable><name>Reconsidering N component of cancer staging for T1-2N0-2M0 small-cell lung cancer: a retrospective study based on multicenter cohort.</name><description>&lt;h4>Background&lt;/h4>The current nodal (pN) classification still has limitations in stratifying the prognosis of small cell lung cancer (SCLC) patients with pathological classifications T1-2N0-2M0. Thus. This study aimed to develop and validate a modified nodal classification based on a multicenter cohort.&lt;h4>Materials and methods&lt;/h4>We collected 1156 SCLC patients with pathological classifications T1-2N0-2M0 from the Surveillance, Epidemiology, and End Results database and a multicenter database in China. The X-tile software was conducted to determine the optimal cutoff points of the number of examined lymph nodes (ELNs) and lymph node ratio (LNR). The Kaplan-Meier method, the Log-rank test, and the Cox regression method were used in this study. We classified patients into three pathologic</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jun</publication><modification>2025-04-04T12:10:49.059Z</modification><creation>2025-04-04T12:10:49.059Z</creation></dates><accession>S-EPMC10288722</accession><cross_references><pubmed>37353782</pubmed><doi>10.1186/s12931-023-02440-3</doi></cross_references></HashMap>