Nomogram to predict the probability of relapse in patients diagnosed with borderline ovarian tumors

Obermair, Andreas, Tang, Amy, Kondalsamy-Chennakesavan, Srinivas, Ngan, Hextan, Zusterzeel, Petra, Quinn, Michael, Carter, Jonathan, Leung, Yee and Janda, Monika (2013) Nomogram to predict the probability of relapse in patients diagnosed with borderline ovarian tumors. International Journal of Gynecological Cancer, 23 2: 264-267. doi:10.1097/IGC.0b013e31827b8844

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Author Obermair, Andreas
Tang, Amy
Kondalsamy-Chennakesavan, Srinivas
Ngan, Hextan
Zusterzeel, Petra
Quinn, Michael
Carter, Jonathan
Leung, Yee
Janda, Monika
Title Nomogram to predict the probability of relapse in patients diagnosed with borderline ovarian tumors
Journal name International Journal of Gynecological Cancer   Check publisher's open access policy
ISSN 1048-891X
Publication date 2013-02
Year available 2013
Sub-type Article (original research)
DOI 10.1097/IGC.0b013e31827b8844
Open Access Status
Volume 23
Issue 2
Start page 264
End page 267
Total pages 4
Place of publication New York, NY., United States
Publisher Lippincott Williams and Wilkins
Collection year 2014
Language eng
Formatted abstract
Objective: This study aimed to develop a nomogram predicting the probability of relapse in individual patients who have surgery for borderline ovarian tumors (BOTs).

Methods: This retrospective study included 801 patients with BOT diagnosed between
1985 and 2008 at 6 gynecologic cancer centers.We analyzed covariates that were associated with the risk of developing a recurrence by multivariate logistic regression. We identified a parsimonious model by backward stepwise logistic regression. The 5 most significant or clinically important variables associated with an increased risk of recurrence were included in the nomogram. The nomogram was internally validated.

Fifty-one patients developed a recurrence after a median observation period of 57 months. Age at diagnosis, the International Federation of Gynecology and Obstetrics stage, cell type, preoperative serum CA125, and type of surgery (radical vs fertility-sparing) were associated with an increased risk of recurrence and were used in the nomogram.  Bootstrap-corrected concordance index was 0.67 and showed good calibration.

Conclusions: Five factors that are commonly available to clinicians treating patients with BOT were used in the development of a nomogram to predict the risk of recurrence. The nomogram will be useful to counsel patients about risk-reduction strategies to minimize the risk of recurrence or to inform patients about a very low risk of recurrence making intensive follow-up unwarranted.
Keyword Borderline ovarian tumors
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Medicine Publications
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
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Created: Sun, 03 Mar 2013, 01:08:15 EST by System User on behalf of Obstetrics & Gynaecology - RBWH