Predicting Ovarian Activity in Women Affected by Early Breast Cancer: A Meta-Analysis-Based Nomogram

Agnese Barnabei; Lidia Strigari; Paolo Marchetti; Valentina Sini; Liana De Vecchis; Salvatore Maria Corsello; Francesco Torino

doi:10.1634/theoncologist.2015-0183

Predicting Ovarian Activity in Women Affected by Early Breast Cancer: A Meta-Analysis-Based Nomogram

Agnese Barnabei
, Lidia Strigari
, Paolo Marchetti
, Valentina Sini
, Liana De Vecchis
, Salvatore Maria Corsello
, Francesco Torino

Università Cattolica del Sacro Cuore

Risultato della ricerca: Contributo in rivista › Articolo

10 Citazioni (Scopus)

Abstract

The assessment of ovarian reserve in premenopausal women requiring anticancer gonadotoxic therapy can help clinicians address some challenging issues, including the probability of future pregnancies after the end of treatment. Anti-Müllerian hormone (AMH) and age can reliably estimate ovarian reserve. A limited number of studies have evaluated AMH and age as predictors of residual ovarian reserve following cytotoxic chemotherapy in breast cancer patients.

Lingua originale	Inglese
pagine (da-a)	1111-1118
Numero di pagine	8
Rivista	THE ONCOLOGIST
Volume	20
DOI	https://doi.org/10.1634/theoncologist.2015-0183
Stato di pubblicazione	Pubblicato - 2015

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Keywords

Anti-Müllerian hormone
Breast cancer
Ovarian reserve
Ovarian toxicity
Predictive factors

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10.1634/theoncologist.2015-0183

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title = "Predicting Ovarian Activity in Women Affected by Early Breast Cancer: A Meta-Analysis-Based Nomogram",

abstract = "The assessment of ovarian reserve in premenopausal women requiring anticancer gonadotoxic therapy can help clinicians address some challenging issues, including the probability of future pregnancies after the end of treatment. Anti-M{\"u}llerian hormone (AMH) and age can reliably estimate ovarian reserve. A limited number of studies have evaluated AMH and age as predictors of residual ovarian reserve following cytotoxic chemotherapy in breast cancer patients.",

keywords = "Anti-M{\"u}llerian hormone, Breast cancer, Ovarian reserve, Ovarian toxicity, Predictive factors, Anti-M{\"u}llerian hormone, Breast cancer, Ovarian reserve, Ovarian toxicity, Predictive factors",

author = "Agnese Barnabei and Lidia Strigari and Paolo Marchetti and Valentina Sini and Vecchis, \{Liana De\} and Corsello, \{Salvatore Maria\} and Francesco Torino",

year = "2015",

doi = "10.1634/theoncologist.2015-0183",

language = "English",

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T1 - Predicting Ovarian Activity in Women Affected by Early Breast Cancer: A Meta-Analysis-Based Nomogram

AU - Barnabei, Agnese

AU - Strigari, Lidia

AU - Marchetti, Paolo

AU - Sini, Valentina

AU - Vecchis, Liana De

AU - Corsello, Salvatore Maria

AU - Torino, Francesco

PY - 2015

Y1 - 2015

N2 - The assessment of ovarian reserve in premenopausal women requiring anticancer gonadotoxic therapy can help clinicians address some challenging issues, including the probability of future pregnancies after the end of treatment. Anti-Müllerian hormone (AMH) and age can reliably estimate ovarian reserve. A limited number of studies have evaluated AMH and age as predictors of residual ovarian reserve following cytotoxic chemotherapy in breast cancer patients.

AB - The assessment of ovarian reserve in premenopausal women requiring anticancer gonadotoxic therapy can help clinicians address some challenging issues, including the probability of future pregnancies after the end of treatment. Anti-Müllerian hormone (AMH) and age can reliably estimate ovarian reserve. A limited number of studies have evaluated AMH and age as predictors of residual ovarian reserve following cytotoxic chemotherapy in breast cancer patients.

KW - Anti-Müllerian hormone

KW - Breast cancer

KW - Ovarian reserve

KW - Ovarian toxicity

KW - Predictive factors

KW - Anti-Müllerian hormone

KW - Breast cancer

KW - Ovarian reserve

KW - Ovarian toxicity

KW - Predictive factors

UR - http://hdl.handle.net/10807/70223

U2 - 10.1634/theoncologist.2015-0183

DO - 10.1634/theoncologist.2015-0183

M3 - Article

SN - 1083-7159

VL - 20

SP - 1111

EP - 1118

JO - THE ONCOLOGIST

JF - THE ONCOLOGIST

ER -

Predicting Ovarian Activity in Women Affected by Early Breast Cancer: A Meta-Analysis-Based Nomogram

Abstract

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Keywords

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