Nomogram incorporating log odds of positive lymph nodes improves prognostic prediction for ovarian serous carcinoma: a real-world retrospective cohort study.

ABSTRACT:

Objectives

Ovarian serous carcinoma (OSC) is a major cause of gynaecological cancer death, yet there is a lack of reliable prognostic models. To address this, we developed and validated a nomogram based on conventional clinical characteristics and log odds of positive lymph nodes (LODDS) to predict the prognosis of OSC patients.

Setting

A Real-World Retrospective Cohort Study from the Surveillance, Epidemiology and End Results programme.

Participants

We obtained data on 4192 patients diagnosed with OSC between 2010 and 2015. Eligibility criteria included specific diagnostic codes, OSC being the primary malignant tumour and age at diagnosis over 18 years. Exclusion criteria were missing information on various factors and unknown cause of death or survival time.

Prim

SUBMITTER: Zhang S 

PROVIDER: S-EPMC10603516 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature