Prognostic factors in curative resections for stomach carcinoma: a uni- and multivariate analysis

J. Gardovskis, O. Horstmann, C. Ohmann, P. R. Verreet, Q. Yang, R. Wlasak, N. Bösing, F. Borchard, H. D. Röher

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

The TNM system, including tumor infiltration (T category), lymph node infiltration (N category) and metastasis (M category), is a well-established system of prognostic factors. To evaluate the prognostic importance of patient characteristics and tumor parameters 5 clinical and 13 pathological factors were analyzed. Data on 200 consecutive patients with histologically verified stomach cancer were prospectively recorded using a standardized form. In the subgroup with curative resection (R0, n = 108) a uni-and multivariate analysis was performed with respect to 5-year survival. In the univariate analysis statistical significance was demonstrated for the following factors: tumor size, tumor localization, T category, N category, number of infiltrated lymph nodes infiltrated, lymph node compartments, tumor stage, lymph node ratio: infiltrated/inspected. Multivariate analysis, taking into consideration the interaction between prognostic factors, revealed only two factors as statistically significant: number of infiltrated lymph nodes and tumor size. Our results and those in the literature indicate that the infiltration of lymph nodes is the most relevant prognostic factor. In addition to the TNM system the number of infiltrated lymph nodes seems to be of prognostic importance.

Translated title of the contributionPrognostic factors in curative resections for stomach carcinoma: a uni- and multivariate analysis
Original languageGerman
Pages (from-to)75-81
Number of pages7
JournalLangenbecks Archiv fur Chirurgie
Volume380
Issue number2
DOIs
Publication statusPublished - Mar 1995
Externally publishedYes

Keywords*

  • Prognostic factors
  • Stomach cancer
  • Uni- and multivariate analysis

Field of Science*

  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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