BMC Cancer (Jun 2023)

Log odds of positive lymph nodes as a novel prognostic predictor for gastric cancer: a systematic review and meta-analysis

  • Yiding Li,
  • Guiling Wu,
  • Jinqiang Liu,
  • Yujie Zhang,
  • Wanli Yang,
  • Xiaoqian Wang,
  • Lili Duan,
  • Liaoran Niu,
  • Junfeng Chen,
  • Wei Zhou,
  • Weili Han,
  • Jing Wang,
  • Helun Zhong,
  • Gang Ji,
  • Daiming Fan,
  • Liu Hong

DOI
https://doi.org/10.1186/s12885-023-10805-6
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 16

Abstract

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Abstract Background We conducted a systematic review and meta-analysis to summarize the predictive and prognostic ability of the log odds of positive lymph nodes (LODDS) staging system and compare it with pathological N (pN) classification and the ratio-based lymph node system (rN) for the overall survival (OS) of gastric cancer (GC). Methods Through a systematic review till March 7, 2022, we identified population-based studies that reported the prognostic effects of LODDS in patients with GC. We compare the predictive effectiveness of the LODDS staging system with that of the rN and pN classification systems for the OS of GC. Results Twelve studies comprising 20,312 patients were included in this systematic review and meta-analysis. The results showed that LODDS1, LODDS2, LODDS3, and LODDS4 in GC patients were correlated with poor OS compared with LODDS0 (LODDS1 vs. LODDS0: HR = 1.62, 95% CI (1.42, 1.85); LODDS2 vs. LODDS0: HR = 2.47, 95% CI (2.02, 3.03); LODDS3 vs. LODDS0: HR = 3.15, 95% CI (2.50, 3.97); LODDS4 vs. LODDS0: HR = 4.55, 95% CI (3.29, 6.29)). Additionally, significant differences in survival were observed among patients with different LODDS classifications (all P-values were < 0.001) with the same rN and pN classifications. Meanwhile, for patients with different pN or rN classifications with the same LODDS classification, prognosis was highly similar. Conclusion The findings show that LODDS is correlated with the prognosis of GC patients and is superior to the pN and rN classifications for prognostic assessment.

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