The log odds of positive neck lymph nodes is a superior lymph node predictor for overall survival in head and neck cancer: a population-based analysis in Germany

GND
1280557486
Affiliation
Department of Otorhinolaryngology, Jena University Hospital, Jena, Germany
Kouka, Mussab;
GND
1263799213
Affiliation
Department of Otorhinolaryngology, Jena University Hospital, Jena, Germany
Al-Ahmar, Elisa;
Affiliation
Department of Otorhinolaryngology, Nordhausen, Germany
Büntzel, Jens;
Affiliation
Department of Otorhinolaryngology, Helios-Klinikum Erfurt, Erfurt, Germany
Kaftan, Holger;
Affiliation
Department of Otorhinolaryngology, SRH Zentralklinikum Suhl, Suhl, Germany
Böger, Daniel;
Affiliation
Department of Otorhinolaryngology, SRH Wald-Klinikum Gera, Gera, Germany
Müller, Andreas;
GND
172365473
Affiliation
Department of Oromaxillofacial Surgery and Plastic Surgery, Jena University Hospital, Jena, Germany
Schultze-Mosgau, Stefan;
Affiliation
University Tumor Center, Jena University Hospital, Jena, Germany
Ernst, Thomas;
GND
1078441464
ORCID
0000-0001-9671-0784
Affiliation
Department of Otorhinolaryngology, Jena University Hospital, Jena, Germany
Guntinas-Lichius, Orlando

Abstract Background This population-based study investigated the influence of different lymph node (LN) classifications on overall survival (OS) in head and neck cancer (HNC). Methods 401 patients (median age: 57 years; 47% stage IV) of the Thuringian cancer registries with diagnosis of a primary HNC receiving a neck dissection (ND) in 2009 and 2010 were included. OS was assessed in relation to total number of LN removed, number of positive LN, LN ratio, and log odds of positive LN (LODDS). Results Mean number of LODDS was 0–0.96 ± 0.57. When limiting the multivariate analysis to TNM stage, only the UICC staging (stage IV: HR 9.218; 95% CI 2.721–31.224; p  < 0.001) and LODDS >  – 1.0 (HR 2.120; 95% CI 1.129–3.982; p  = 0.019) were independently associated with lower OS. Conclusion LODDS was an independent and superior predictor for OS in HNC in a population-based setting with representative real-life data.

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