OBJECTIVE: To determine which doctor- and patient-related factors affect failure of outpatient endometrial sampling in women with postmenopausal bleeding, and to develop a multivariable prediction model to select women with a high probability of failed sampling. DESIGN: Prospective multicenter cohort study. SETTING: Three teaching hospitals in the Netherlands. POPULATION: Women presenting with postmenopausal bleeding with an indication for endometrial sampling. METHODS: Multivariable logistic regression was performed to evaluate the impact of doctor's training level and patient's characteristics on failure of sampling. MAIN OUTCOME MEASURES: Failure of endometrial sampling, classified as technical failure or insufficient tissue for diagnosis. RESULTS: In 74 (20.8%) of the 356 included women, sampling technically failed, and in 84 (29.8%) the amount of tissue was insufficient for diagnosis. Nulliparity [odds ratio (OR) 3.8, 95% confidence interval (CI) 1.8-7.9] and advanced age (OR 1.03 per year, 95% CI 1.00-1.06) were associated with technical failure. Advanced age was associated with insufficient sampling (OR 1.04 per year, 95% CI 1.01-1.07), and endometrial thickness >12 mm decreased the chance of insufficient sampling (OR 0.3, 95%CI 0.1-0.8). The prediction model for total failure had an area under the ROC curve of 0.64 (95% CI 0.58-0.70). CONCLUSIONS: In women with postmenopausal bleeding, the failure rate of endometrial sampling is relatively high and is associated with nulliparity and advanced age. Endometrial thickness >12 mm decreased the chance of failure. A multivariable prediction model for total failure based on patient characteristics has a moderate capacity to discriminate between women at high or low risk of failure.
OBJECTIVE: To determine which doctor- and patient-related factors affect failure of outpatient endometrial sampling in women with postmenopausal bleeding, and to develop a multivariable prediction model to select women with a high probability of failed sampling. DESIGN: Prospective multicenter cohort study. SETTING: Three teaching hospitals in the Netherlands. POPULATION: Women presenting with postmenopausal bleeding with an indication for endometrial sampling. METHODS: Multivariable logistic regression was performed to evaluate the impact of doctor's training level and patient's characteristics on failure of sampling. MAIN OUTCOME MEASURES: Failure of endometrial sampling, classified as technical failure or insufficient tissue for diagnosis. RESULTS: In 74 (20.8%) of the 356 included women, sampling technically failed, and in 84 (29.8%) the amount of tissue was insufficient for diagnosis. Nulliparity [odds ratio (OR) 3.8, 95% confidence interval (CI) 1.8-7.9] and advanced age (OR 1.03 per year, 95% CI 1.00-1.06) were associated with technical failure. Advanced age was associated with insufficient sampling (OR 1.04 per year, 95% CI 1.01-1.07), and endometrial thickness >12 mm decreased the chance of insufficient sampling (OR 0.3, 95%CI 0.1-0.8). The prediction model for total failure had an area under the ROC curve of 0.64 (95% CI 0.58-0.70). CONCLUSIONS: In women with postmenopausal bleeding, the failure rate of endometrial sampling is relatively high and is associated with nulliparity and advanced age. Endometrial thickness >12 mm decreased the chance of failure. A multivariable prediction model for total failure based on patient characteristics has a moderate capacity to discriminate between women at high or low risk of failure.
Authors: Roberta Schiemer; David Furniss; Sendy Phang; Angela B Seddon; William Atiomo; Ketankumar B Gajjar Journal: Int J Mol Sci Date: 2022-04-27 Impact factor: 6.208
Authors: M C Breijer; N van Hanegem; N C M Visser; R H M Verheijen; B W J Mol; J M A Pijnenborg; B C Opmeer; A Timmermans Journal: ScientificWorldJournal Date: 2015-02-16
Authors: Nicole C M Visser; Johan Bulten; Anneke A M van der Wurff; Erik A Boss; Carolien M Bronkhorst; Harrie W H Feijen; Joke E Haartsen; Hilde A D M van Herk; Ineke M de Kievit; Paul J J M Klinkhamer; Brenda M Pijlman; Marc P M L Snijders; Ingrid Vandenput; M Caroline Vos; Peter E J de Wit; Lonneke V van de Poll-Franse; Leon F A G Massuger; Johanna M A Pijnenborg Journal: BMC Cancer Date: 2015-06-30 Impact factor: 4.430
Authors: Nicole C M Visser; Ellen M Sparidaens; Jan-Willem van den Brink; Maria C Breijer; Erik A Boss; Sebastiaan Veersema; Albert G Siebers; Johan Bulten; Johanna M A Pijnenborg; Ruud L M Bekkers Journal: Acta Obstet Gynecol Scand Date: 2016-10-14 Impact factor: 3.636