Biomarkers in medicine · 2018
Models including serum CA-125, BMI, cyst pathology, dysmenorrhea or dyspareunia for diagnosis of endometriosis.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Ошибки и ограничения
История · было → стало
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Knific Tamara, Vouk Katja, Vogler Andrej, Osredkar Joško, Gstöttner Manuela, Wenzl René, Rižner Tea Lanišnik
Аннотация
AIM: To evaluate preoperative levels of CA-125 and HE4 in patients with endometriosis-like symptoms and to construct diagnostic models.
PATIENTS: Prospective case-control study included 124 endometriosis patients and 97 control patients.
MATERIALS & METHODS: Logistic regression was used to construct diagnostic models based on serum biomarker levels and clinical data.
RESULTS: A model with CA-125, BMI, information on cysts and dyspareunia had an area under the curve value of 0.836, sensitivity of 74.0% and specificity of 81.3%. The second model included CA-125, BMI, information on cysts and dysmenorrhea and had an area under the curve value of 0.819, sensitivity of 74.8% and specificity of 79.2%.
CONCLUSION: Constructed models have the potential for noninvasive diagnosis of endometriosis, and might be translated into clinical practice after additional validation.
PATIENTS: Prospective case-control study included 124 endometriosis patients and 97 control patients.
MATERIALS & METHODS: Logistic regression was used to construct diagnostic models based on serum biomarker levels and clinical data.
RESULTS: A model with CA-125, BMI, information on cysts and dyspareunia had an area under the curve value of 0.836, sensitivity of 74.0% and specificity of 81.3%. The second model included CA-125, BMI, information on cysts and dysmenorrhea and had an area under the curve value of 0.819, sensitivity of 74.8% and specificity of 79.2%.
CONCLUSION: Constructed models have the potential for noninvasive diagnosis of endometriosis, and might be translated into clinical practice after additional validation.