Abstract
Background Identification of peri-operative variables predicting postoperative morbidity may improve postoperative patients' care. We aimed to identify patients' characteristics and operative factors predictive of early (≤30-day) and late (≤6-month) morbidity in cervical cancer patients undergoing surgery plus external beam radiotherapy (EBRT). Methods We studied 45 propensity-matched patient pairs (90 patients) undergoing laparoscopic radical hysterectomy (LRH) plus EBRT vs. abdominal radical hysterectomy (RAH) plus EBRT. Basic descriptive, multivariable and artificial neuronal network analyses (ANN) were used to design predicting models influencing outcomes. Results Baseline characteristics of the study populations were similar. Patients undergoing LRH experienced lower blood loss (200 (range, 10-700) vs. 400 (range, 100-2000) ml; P
Original language | English |
---|---|
Pages (from-to) | 893-898 |
Number of pages | 6 |
Journal | Journal of Surgical Oncology |
Volume | 110 |
Issue number | 7 |
DOIs | |
Publication status | Published - Dec 1 2014 |
Keywords
- cervical cancer
- late complications
- morbidity
- radical hysterectomy
- radiotherapy
ASJC Scopus subject areas
- Surgery
- Oncology
- Medicine(all)