Literature DB >> 16797686

Cost-effectiveness of routine vaginal cytology for endometrial cancer surveillance.

Robert E Bristow1, Scott C Purinton, Antonio Santillan, Teresa P Diaz-Montes, Ginger J Gardner, Robert L Giuntoli.   

Abstract

OBJECTIVE: To examine the cost-effectiveness of routine vaginal cytology in detecting asymptomatic isolated vaginal recurrence during post-treatment endometrial cancer surveillance.
METHODS: All patients treated for endometrial cancer between 7/1/97 and 6/30/2005 were retrospectively identified from the tumor registry database. Clinico-pathologic characteristics and surveillance testing data were abstracted from medical records. The total number of Pap tests performed during surveillance or until the time of recurrence was calculated and charges associated with detecting asymptomatic isolated vaginal recurrence assigned based on 2005 Pap test costs adjusted retroactively using the consumer price index.
RESULTS: Three hundred seventy-seven patients met inclusion criteria: FIGO Stage I=63.7%, Stage II=10.1%, Stage III=18.8%, Stage IV=7.4%. The median follow-up time was 30.4 months. A total of 2,134 Pap tests were collected during the study interval (median 5, mean 5.76 samples/patient). Endometrial cancer recurred in 61 patients (16.2%); 11 patients (2.9%) had an isolated vaginal recurrence. Seven isolated vaginal recurrences were detected by physical examination alone, and 2 were detected by interval computed tomography. An asymptomatic isolated vaginal recurrence was detected by routine vaginal cytology in 2 of 377 patients (0.5%). Detection of each asymptomatic vaginal recurrence required 1067 Pap tests, generating 44,049 US dollar in cumulative charges.
CONCLUSIONS: As a surveillance test for endometrial cancer recurrence, routine vaginal cytology is costly, inefficient, and benefits less than 1% of patients. Elimination or reduction in the use of vaginal cytology for this purpose offers an opportunity for significant cost savings in gynecologic oncology health care expenditure.

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Year:  2006        PMID: 16797686     DOI: 10.1016/j.ygyno.2006.05.013

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  7 in total

1.  Patterns and utility of routine surveillance in high grade endometrial cancer.

Authors:  Jessica Hunn; Meaghan E Tenney; Ana I Tergas; Erin A Bishop; Kathleen Moore; William Watkin; Carolyn Kirschner; Jean Hurteau; Gustavo C Rodriguez; Ernst Lengyel; Nita K Lee; S Diane Yamada
Journal:  Gynecol Oncol       Date:  2015-03-30       Impact factor: 5.482

Review 2.  How Do We Follow Up Patients With Endometrial Cancer?

Authors:  Mette Moustgaard Jeppesen; Ole Mogensen; Dorte G Hansen; Stinne H Bergholdt; Pernille T Jensen
Journal:  Curr Oncol Rep       Date:  2019-05-15       Impact factor: 5.075

3.  The utility and cost of routine follow-up procedures in the surveillance of ovarian and primary peritoneal carcinoma: a 16-year institutional review.

Authors:  N B Rettenmaier; C R Rettenmaier; T Wojciechowski; L N Abaid; J V Brown; J P Micha; B H Goldstein
Journal:  Br J Cancer       Date:  2010-11-02       Impact factor: 7.640

4.  Liver recurrence in endometrial cancer: a multi-institutional analysis of factors predictive of postrecurrence survival.

Authors:  Tayfun Toptas; Alper Karalok; Isin Ureyen; Tolga Tasci; Onur Erol; Selen Bozkurt; Gokhan Tulunay; Tayup Simsek; Taner Turan
Journal:  Clin Exp Metastasis       Date:  2016-06-23       Impact factor: 5.150

5.  The utility and management of vaginal cytology after treatment for endometrial cancer.

Authors:  Akiva P Novetsky; Lindsay M Kuroki; L Stewart Massad; Andrea R Hagemann; Premal H Thaker; Matthew A Powell; David G Mutch; Israel Zighelboim
Journal:  Obstet Gynecol       Date:  2013-01       Impact factor: 7.661

6.  What sampling device is the most appropriate for vaginal vault cytology in gynaecological cancer follow up?

Authors:  Lino Del Pup; Del Pup Lino; Vincenzo Canzonieri; Canzonieri Vincenzo; Diego Serraino; Serraino Diego; Elio Campagnutta; Campagnutta Elio
Journal:  Radiol Oncol       Date:  2012-04-11       Impact factor: 2.991

Review 7.  Machine Learning for Endometrial Cancer Prediction and Prognostication.

Authors:  Vipul Bhardwaj; Arundhiti Sharma; Snijesh Valiya Parambath; Ijaz Gul; Xi Zhang; Peter E Lobie; Peiwu Qin; Vijay Pandey
Journal:  Front Oncol       Date:  2022-07-27       Impact factor: 5.738

  7 in total

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