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1.
Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA-1 multinomial regression model: validation study.
Ultrasound Obstet Gynecol
; 63(4): 556-563, 2024 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-37927006
2.
Benign descriptors and ADNEX in two-step strategy to estimate risk of malignancy in ovarian tumors: retrospective validation in IOTA5 multicenter cohort.
Ultrasound Obstet Gynecol
; 61(2): 231-242, 2023 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-36178788
3.
Ultrasound features of endometrial pathology in women without abnormal uterine bleeding: results from the International Endometrial Tumor Analysis study (IETA3).
Ultrasound Obstet Gynecol
; 60(2): 243-255, 2022 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35385178
4.
External validation of models to predict the outcome of pregnancies of unknown location: a multicentre cohort study.
BJOG
; 128(3): 552-562, 2021 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-32931087
5.
Differences in post-traumatic stress, anxiety and depression following miscarriage or ectopic pregnancy between women and their partners: multicenter prospective cohort study.
Ultrasound Obstet Gynecol
; 57(1): 141-148, 2021 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33032364
6.
Typical ultrasound features of various endometrial pathologies described using International Endometrial Tumor Analysis (IETA) terminology in women with abnormal uterine bleeding.
Ultrasound Obstet Gynecol
; 57(1): 164-172, 2021 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-32484286
7.
Validation of ultrasound strategies to assess tumor extension and to predict high-risk endometrial cancer in women from the prospective IETA (International Endometrial Tumor Analysis)-4 cohort.
Ultrasound Obstet Gynecol
; 55(1): 115-124, 2020 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-31225683
8.
Ultrasound-based risk model for preoperative prediction of lymph-node metastases in women with endometrial cancer: model-development study.
Ultrasound Obstet Gynecol
; 56(3): 443-452, 2020 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-31840873
9.
Random-effects meta-analysis of the clinical utility of tests and prediction models.
Stat Med
; 37(12): 2034-2052, 2018 05 30.
Artículo
en Inglés
| MEDLINE | ID: mdl-29575170
10.
Key steps and common pitfalls in developing and validating risk models.
BJOG
; 124(3): 423-432, 2017 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-27362778
11.
Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study.
Br J Cancer
; 111(4): 680-8, 2014 Aug 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-24937676
12.
Multicentre external validation of IOTA prediction models and RMI by operators with varied training.
Br J Cancer
; 108(12): 2448-54, 2013 Jun 25.
Artículo
en Inglés
| MEDLINE | ID: mdl-23674083
13.
Does the presence of a Caesarean section scar affect implantation site and early pregnancy outcome in women attending an early pregnancy assessment unit?
Hum Reprod
; 28(6): 1489-96, 2013 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-23585560
14.
Predicting successful vaginal birth after Cesarean section using a model based on Cesarean scar features examined by transvaginal sonography.
Ultrasound Obstet Gynecol
; 41(6): 672-8, 2013 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-23371440
15.
Untapped potential of multicenter studies: a review of cardiovascular risk prediction models revealed inappropriate analyses and wide variation in reporting.
Diagn Progn Res
; 3: 6, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31093576
16.
Reply: To PMID 23371440.
Ultrasound Obstet Gynecol
; 42(1): 123-4, 2013 Jul.
Artículo
en Inglés
| MEDLINE | ID: mdl-23798552
17.
Does ignoring clustering in multicenter data influence the performance of prediction models? A simulation study.
Stat Methods Med Res
; 27(6): 1723-1736, 2018 06.
Artículo
en Inglés
| MEDLINE | ID: mdl-27647815
18.
Practical guidance for applying the ADNEX model from the IOTA group to discriminate between different subtypes of adnexal tumors.
Facts Views Vis Obgyn
; 7(1): 32-41, 2015.
Artículo
en Inglés
| MEDLINE | ID: mdl-25897370
19.
A simulation study of sample size demonstrated the importance of the number of events per variable to develop prediction models in clustered data.
J Clin Epidemiol
; 68(12): 1406-14, 2015 Dec.
Artículo
en Inglés
| MEDLINE | ID: mdl-25817942
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