Is hemoglobin A1c valuable for predicting concurrent endometrial cancer in diabetic women with endometrial intraepithelial neoplasia?

被引:2
|
作者
Kose, Caner [1 ]
Korpe, Busra [1 ]
Korkmaz, Vakkas [2 ]
Engin-Ustun, Yaprak [3 ]
机构
[1] Ankara Etlik Zubeyde Hanim Kadin Hastaliklari Egi, Dept Gynecol, Ankara, Turkey
[2] Ankara Etlik Zubeyde Hanim Kadin Hastaliklari Egi, Dept Gynecol Oncol, Ankara, Turkey
[3] Ankara Etlik Zubeyde Hanim Kadin Hastaliklari Egi, Dept Gynecol & Obstet, Ankara, Turkey
关键词
Endometrial intraepithelial neoplasia (EIN); preoperative hemoglobin A1c (HgA1c); endometrial cancer; diabetes mellitus (DM); HEALTH-ORGANIZATION CLASSIFICATION; HYPERPLASIA; CARCINOMA; DIAGNOSIS; SYSTEM; RISK; EIN;
D O I
10.1080/09513590.2022.2129611
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aim The purpose of this study was to determine the predictive value of preoperative hemoglobin A1c (HgA1c) level for endometrial cancer in diabetic women with endometrial intraepithelial neoplasia (EIN). Materials and Methods Six hundred patients with EIN were retrospectively studied in a tertiary referral center in Turkey between January 2014 and December 2021. One hundred and thirteen diabetic patients with EIN who met the inclusion criteria were enrolled in the study and divided into three groups according to the final pathological results: Group 1 with benign findings (n = 29), Group 2 with EIN (n = 34) and Group 3 with endometrial cancer (n = 50). Demographic, clinical and biochemical characteristics were compared among the three groups. Receiver operating characteristic analysis (ROC) was used to evaluate the predictive value of HgA1c for concurrent endometrial cancer in EIN. Results Mean preoperative HgA1c levels were different among three groups (5.41 +/- 0.64, 6.01 +/- 0.72, 6.65 +/- 1.15, p < 0.001, respectively). The highest value of HgA1c level was found in cancer group and difference within pairs was statistically significant (p < 0.001). Age and duration of menopause were also different among groups (p < 0.005). After adjustment of HgA1c level for age and duration of menopause differences were maintained (p < 0.001), the cutoff value was detected as >= 6.05% for HgA1c and sensitivity, specificity was 60%, 70%, respectively (p < 0.001). Conclusions HgA1c could be used in prediction of endometrial cancer. The optimal cutoff value determined in our study could be considered in predicting endometrial cancer in diabetic women with EIN.
引用
收藏
页码:1003 / 1007
页数:5
相关论文
共 50 条
  • [1] Preoperative hemoglobin A1c as a predictor of lymph node metastasis in diabetic women with endometrial cancer
    Korpe, Busra
    Kose, Caner
    Erdogan, Kadriye
    Engin-Ustun, Yaprak
    Korkmaz, Vakkas
    ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE, 2025,
  • [2] Surgical outcomes of superobese women treated for endometrial intraepithelial neoplasia and endometrial cancer
    Crispens, M. A.
    Slocum, P.
    Heft, J.
    Mokshagundam, S.
    Zimmerman, C.
    Harvey, L.
    GYNECOLOGIC ONCOLOGY, 2018, 149 : 232 - 233
  • [3] Hemoglobin A1c and the relationship to stage and grade of endometrial cancer
    Stevens, Erin E.
    Yu, Sarah
    Van Sise, Melanie
    Pradhan, Tana Shah
    Lee, Vanessa
    Pearl, Michael L.
    Lee, Yi-Chun
    Abulafia, Ovadia
    ARCHIVES OF GYNECOLOGY AND OBSTETRICS, 2012, 286 (06) : 1507 - 1512
  • [4] Hemoglobin A1c and the relationship to stage and grade of endometrial cancer
    Erin E. Stevens
    Sarah Yu
    Melanie Van Sise
    Tana Shah Pradhan
    Vanessa Lee
    Michael L. Pearl
    Yi-Chun Lee
    Ovadia Abulafia
    Archives of Gynecology and Obstetrics, 2012, 286 : 1507 - 1512
  • [5] Immunohistochemical prediction for concurrent endometrial carcinoma on biopsy samples with endometrial intraepithelial neoplasia
    Georgescu, T. A.
    Dumitru, A.
    Lazaroiu, A. M.
    Cirstoiu, M.
    Costache, M.
    Sajin, M.
    VIRCHOWS ARCHIV, 2017, 471 : S79 - S80
  • [6] Machine learning for prediction of concurrent endometrial carcinoma in patients diagnosed with endometrial intraepithelial neoplasia
    Levin, Gabriel
    Matanes, Emad
    Brezinov, Yoav
    Ferenczy, Alex
    Pelmus, Manuela
    Brodeur, Melica Nourmoussavi
    Salvador, Shannon
    Lau, Susie
    Gotlieb, Walter H.
    EJSO, 2024, 50 (03):
  • [7] Machine learning for prediction of concurrent endometrial carcinoma patients diagnosed with endometrial intraepithelial neoplasia
    Levin, Gabriel
    Matanes, Emad
    Brezinov, Yoav
    Brodeur, Melica
    Salvador, Shannon
    Lau, Susie
    Gotlieb, Walter
    GYNECOLOGIC ONCOLOGY, 2024, 190 : S267 - S267
  • [8] Preoperative diagnosis of endometrial intraepithelial neoplasia and risk of concurrent endometrial cancer: Does tissue sampling technique matter?
    Zimmerman, Jenna
    Natan, Sidney
    Morrison, Jane
    Zakhour, Mae
    GYNECOLOGIC ONCOLOGY, 2024, 190 : S111 - S112
  • [9] Time interval from biopsy of endometrial intraepithelial neoplasia to surgery and risk for concurrent endometrial carcinoma
    Levin, Gabriel
    Matanes, Emad
    Brodeur, Melica
    Salvador, Shannon
    Lau, Susie
    Gotlieb, Walter
    GYNECOLOGIC ONCOLOGY, 2024, 190 : S359 - S359
  • [10] Time to treatment by neighborhood among endometrial intraepithelial neoplasia and endometrial cancer patients
    Wang, Victoria
    Reid, Hadley
    Pelletier, Andrea
    Russell, Trinity
    Chen, Lucy
    Marsh, Reagan
    Feltmate, Colleen
    Wright, Alexi
    Elias, Kevin
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2023, 32 (12)