Detailed Information

Cited 31 time in webofscience Cited 35 time in scopus
Metadata Downloads

Prognostic Significance of Modified Advanced Lung Cancer Inflammation Index (ALI) in Patients with Small Cell Lung Cancer_Comparison with Original ALI

Full metadata record
DC Field Value Language
dc.contributor.authorKim, Eun Young-
dc.contributor.authorKim, Nambeom-
dc.contributor.authorKim, Young Saing-
dc.contributor.authorSeo, Ja-Young-
dc.contributor.authorPark, Inkeun-
dc.contributor.authorAhn, Hee Kyung-
dc.contributor.authorJeong, Yu Mi-
dc.contributor.authorKim, Jeong Ho-
dc.date.available2020-02-28T00:42:05Z-
dc.date.created2020-02-07-
dc.date.issued2016-10-05-
dc.identifier.issn1932-6203-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/7776-
dc.description.abstractBackground Advanced lung cancer inflammation index (ALI, body mass index [BMI] x serum albumin/neutrophil-lymphocyte ratio [NLR]) has been shown to predict overall survival (OS) in small cell lung cancer (SCLC). CT enables skeletal muscle to be quantified, whereas BMI cannot accurately reflect body composition. The purpose was to evaluate prognostic value of modified ALI (mALI) using CT-determined L3 muscle index (L3MI, muscle area at L3/height(2)) beyond original ALI. Methods L3MIs were calculated using the CT images of 186 consecutive patients with SCLC taken at diagnosis, and mALI was defined as L3MI x serum albumin/NLR. Using chi-squared test determined maximum cut-offs for low ALI and low mALI, the prognostic values of low ALI and low mALI were tested using Kaplan-Meier method and Cox proportional hazards analysis. Finally, deviance statistics was used to test whether the goodness of fit of the prognostic model is improved by adding mALI as an extra variable. Results Patients with low ALI (cut-off, 31.1, n = 94) had shorter OS than patients with high ALI (median, 6.8 months vs. 15.8 months; p < 0.001), and patients with low mALI (cut-off 67.7, n = 94) had shorter OS than patients with high mALI (median, 6.8 months vs. 16.5 months; p < 0.001). There was no significant difference in estimates of median survival time between low ALI and low mALI (z = 0.000, p = 1.000) and between high ALI and high mALI (z = 0.330, p = 0.740). Multivariable analysis showed that low ALI was an independent prognostic factor for shorter OS (HR, 1.67, p = 0.004), along with advanced age (HR, 1.49, p = 0.045), extensive disease (HR, 2.27, p < 0.001), supportive care only (HR, 7.86, p < 0.001), and elevated LDH (HR, 1.45, p = 0.037). Furthermore, goodness of fit of this prognostic model was not significantly increased by adding mALI as an extra variable (LR difference = 2.220, p = 0.136). Conclusion The present study confirms mALI using CT-determined L3MI has no additional prognostic value beyond original ALI using BMI. ALI is a simple and useful prognostic indicator in SCLC.-
dc.language영어-
dc.language.isoen-
dc.publisherPUBLIC LIBRARY SCIENCE-
dc.relation.isPartOfPLOS ONE-
dc.subjectSYSTEMIC INFLAMMATION-
dc.subjectMGPS PREDICTS-
dc.subjectSARCOPENIA-
dc.subjectSURVIVAL-
dc.subjectPREVALENCE-
dc.subjectCACHEXIA-
dc.subjectOBESITY-
dc.subjectSCORES-
dc.titlePrognostic Significance of Modified Advanced Lung Cancer Inflammation Index (ALI) in Patients with Small Cell Lung Cancer_Comparison with Original ALI-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000385697200081-
dc.identifier.doi10.1371/journal.pone.0164056-
dc.identifier.bibliographicCitationPLOS ONE, v.11, no.10-
dc.identifier.scopusid2-s2.0-84991236751-
dc.citation.titlePLOS ONE-
dc.citation.volume11-
dc.citation.number10-
dc.contributor.affiliatedAuthorKim, Eun Young-
dc.contributor.affiliatedAuthorKim, Nambeom-
dc.contributor.affiliatedAuthorKim, Young Saing-
dc.contributor.affiliatedAuthorSeo, Ja-Young-
dc.contributor.affiliatedAuthorPark, Inkeun-
dc.contributor.affiliatedAuthorAhn, Hee Kyung-
dc.contributor.affiliatedAuthorJeong, Yu Mi-
dc.contributor.affiliatedAuthorKim, Jeong Ho-
dc.type.docTypeArticle-
dc.subject.keywordPlusSYSTEMIC INFLAMMATION-
dc.subject.keywordPlusMGPS PREDICTS-
dc.subject.keywordPlusSARCOPENIA-
dc.subject.keywordPlusSURVIVAL-
dc.subject.keywordPlusPREVALENCE-
dc.subject.keywordPlusCACHEXIA-
dc.subject.keywordPlusOBESITY-
dc.subject.keywordPlusSCORES-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
의과대학 > 의학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Seo, Ja Young photo

Seo, Ja Young
College of Medicine (Department of Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE