Quality of Life After Extended Pelvic Surgery with Neurovascular or Bony Resections in Gynecological Oncology: A Systematic Review.

BACKGROUND: Extended pelvic surgery with neurovascular or bony resections in gynecological oncology has significant impact on quality of life (QoL) and high morbidity. The objective of this systematic review was to provide an overview of QoL, morbidity and mortality following these procedures.

METHODS: The registered PROSPERO protocol included database-specific search strategies. Studies from 1966 onwards reporting on QoL after extended pelvic surgery with neurovascular or bony resections for gynecological cancer were considered eligible. All others were excluded. Study selection (Rayyan), data extraction, rating of evidence (GRADE) and risk of bias (ROBINS-I) were performed independently by two reviewers.

RESULTS: Of 349 identified records, 121 patients from 11 studies were included-one prospective study, seven retrospective studies, and three case reports. All studies were of very low quality and with an overall serious risk of bias. Primary tumor location was the cervix (n = 78, 48.9%), vulva (n = 30, 18.4%), uterus (n = 21, 12.9%), endometrium (n = 15, 9.2%), ovary (n = 8, 4.9%), (neo)vagina (n = 3, 1.8%), Gartner duct/paracolpium (n = 1, 0.6%), or synchronous tumors (n = 3, 1.8%), or were not reported (n = 4, 2.5%). Bony resections included the pelvic bone (n = 36), sacrum (n = 2), and transverse process of L5 (n = 1). Margins were negative in 70 patients and positive in 13 patients. Thirty-day mortality was 1.7% (2/121). Three studies used validated QoL questionnaires and seven used non-validated measurements; all reported acceptable QoL postoperatively.

CONCLUSIONS: In this highly selected patient group, mortality and QoL seem to be acceptable, with a high morbidity rate. This comprehensive study will help to inform eligible patients about the outcomes of extended pelvic surgery with neurovascular or bony resections. Future collaborative studies can enable the collection of QoL data in a validated, uniform manner.