Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3)

Daniele Giardiello; Maartje J. Hooning; Michael Hauptmann; Renske Keeman; B. A. M. Heemskerk-Gerritsen; Heiko Becher; Carl Blomqvist; Stig E. Bojesen; Manjeet K. Bolla; Nicola J. Camp; Kamila Czene; Peter Devilee; Diana M. Eccles; Peter A. Fasching; Jonine D. Figueroa; Henrik Flyger; Montserrat García-Closas; Christopher A. Haiman; Ute Hamann; John L. Hopper; Anna Jakubowska; Floor E. Leeuwen; Annika Lindblom; Jan Lubiński; Sara Margolin; Maria Elena Martinez; Heli Nevanlinna; Ines Nevelsteen; Saskia Pelders; Paul D. P. Pharoah; Sabine Siesling; Melissa C. Southey; Annemieke H. van der Hout; Liselotte P. van Hest; Jenny Chang-Claude; Per Hall; Douglas F. Easton; Ewout W. Steyerberg; Marjanka K. Schmidt

doi:10.1186/s13058-022-01579-z

Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3)

Daniele Giardiello
, Maartje J. Hooning
, Michael Hauptmann
, Renske Keeman
, B. A. M. Heemskerk-Gerritsen
, Heiko Becher
, Carl Blomqvist
, Stig E. Bojesen
, Manjeet K. Bolla
, Nicola J. Camp
, Kamila Czene
, Peter Devilee
, Diana M. Eccles
, Peter A. Fasching
, Jonine D. Figueroa
, Henrik Flyger
, Montserrat García-Closas
, Christopher A. Haiman
, Ute Hamann
, John L. Hopper

Anna Jakubowska, Floor E. Leeuwen, Annika Lindblom, Jan Lubiński, Sara Margolin, Maria Elena Martinez, Heli Nevanlinna, Ines Nevelsteen, Saskia Pelders, Paul D. P. Pharoah, Sabine Siesling, Melissa C. Southey, Annemieke H. van der Hout, Liselotte P. van Hest, Jenny Chang-Claude, Per Hall, Douglas F. Easton, Ewout W. Steyerberg, Marjanka K. Schmidt^*

^*Corresponding author for this work

Antoni van Leeuwenhoek Hospital
Leiden University
EURAC Research
Erasmus University Rotterdam
Institute of Biostatistics and Registry Research
University Medical Center Hamburg-Eppendorf
Helsinki University Hospital and University of Helsinki
Örebro University
University of Copenhagen
University of Cambridge
University of Utah School of Medicine
Karolinska Institutet
University of Southampton
David Geffen School of Medicine at UCLA
Friedrich-Alexander University Erlangen-Nürnberg
University of Edinburgh
National Institutes of Health
University of Southern California
National Center for Tumor Diseases Heidelberg
University of Melbourne
Pomeranian Medical University in Szczecin
Karolinska University Hospital
University of California at San Diego
KU Leuven
Department of Research & Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands.
University of Twente
Monash University
Cancer Council Victoria
University of Groningen

Research output: Contribution to journal › Comment/Letter to the editor › Academic

14 Downloads (Pure)

Original language	English
Article number	82
Journal	Breast cancer research
Volume	24
Issue number	1
DOIs	https://doi.org/10.1186/s13058-022-01579-z
Publication status	Published - 1 Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1186/s13058-022-01579-z

Correction.pdfFinal published version, 582 KBLicence: CC BY

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Giardiello, D., Hooning, M. J., Hauptmann, M., Keeman, R., Heemskerk-Gerritsen, B. A. M., Becher, H., Blomqvist, C., Bojesen, S. E., Bolla, M. K., Camp, N. J., Czene, K., Devilee, P., Eccles, D. M., Fasching, P. A., Figueroa, J. D., Flyger, H., García-Closas, M., Haiman, C. A., Hamann, U., ... Schmidt, M. K. (2022). Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3). Breast cancer research, 24(1), Article 82. https://doi.org/10.1186/s13058-022-01579-z

@article{1091dcfa78034d9bb3573118b6650372,

title = "Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in \textasciitilde{} 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3)",

author = "Daniele Giardiello and Hooning, \{Maartje J.\} and Michael Hauptmann and Renske Keeman and Heemskerk-Gerritsen, \{B. A. M.\} and Heiko Becher and Carl Blomqvist and Bojesen, \{Stig E.\} and Bolla, \{Manjeet K.\} and Camp, \{Nicola J.\} and Kamila Czene and Peter Devilee and Eccles, \{Diana M.\} and Fasching, \{Peter A.\} and Figueroa, \{Jonine D.\} and Henrik Flyger and Montserrat Garc{\'i}a-Closas and Haiman, \{Christopher A.\} and Ute Hamann and Hopper, \{John L.\} and Anna Jakubowska and Leeuwen, \{Floor E.\} and Annika Lindblom and Jan Lubi{\'n}ski and Sara Margolin and Martinez, \{Maria Elena\} and Heli Nevanlinna and Ines Nevelsteen and Saskia Pelders and Pharoah, \{Paul D. P.\} and Sabine Siesling and Southey, \{Melissa C.\} and \{van der Hout\}, \{Annemieke H.\} and \{van Hest\}, \{Liselotte P.\} and Jenny Chang-Claude and Per Hall and Easton, \{Douglas F.\} and Steyerberg, \{Ewout W.\} and Schmidt, \{Marjanka K.\}",

year = "2022",

month = dec,

day = "1",

doi = "10.1186/s13058-022-01579-z",

language = "English",

volume = "24",

journal = "Breast cancer research",

issn = "1465-5411",

publisher = "BioMed Central Ltd.",

number = "1",

}

Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, García-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubiński, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW & Schmidt, MK 2022, 'Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3)', Breast cancer research, vol. 24, no. 1, 82. https://doi.org/10.1186/s13058-022-01579-z

Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3). / Giardiello, Daniele; Hooning, Maartje J.; Hauptmann, Michael et al.
In: Breast cancer research, Vol. 24, No. 1, 82, 01.12.2022.

Research output: Contribution to journal › Comment/Letter to the editor › Academic

TY - JOUR

T1 - Correction

T2 - PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3)

AU - Giardiello, Daniele

AU - Hooning, Maartje J.

AU - Hauptmann, Michael

AU - Keeman, Renske

AU - Heemskerk-Gerritsen, B. A. M.

AU - Becher, Heiko

AU - Blomqvist, Carl

AU - Bojesen, Stig E.

AU - Bolla, Manjeet K.

AU - Camp, Nicola J.

AU - Czene, Kamila

AU - Devilee, Peter

AU - Eccles, Diana M.

AU - Fasching, Peter A.

AU - Figueroa, Jonine D.

AU - Flyger, Henrik

AU - García-Closas, Montserrat

AU - Haiman, Christopher A.

AU - Hamann, Ute

AU - Hopper, John L.

AU - Jakubowska, Anna

AU - Leeuwen, Floor E.

AU - Lindblom, Annika

AU - Lubiński, Jan

AU - Margolin, Sara

AU - Martinez, Maria Elena

AU - Nevanlinna, Heli

AU - Nevelsteen, Ines

AU - Pelders, Saskia

AU - Pharoah, Paul D. P.

AU - Siesling, Sabine

AU - Southey, Melissa C.

AU - van der Hout, Annemieke H.

AU - van Hest, Liselotte P.

AU - Chang-Claude, Jenny

AU - Hall, Per

AU - Easton, Douglas F.

AU - Steyerberg, Ewout W.

AU - Schmidt, Marjanka K.

PY - 2022/12/1

Y1 - 2022/12/1

UR - https://www.scopus.com/pages/publications/85142514902

U2 - 10.1186/s13058-022-01579-z

DO - 10.1186/s13058-022-01579-z

M3 - Comment/Letter to the editor

C2 - 36419099

SN - 1465-5411

VL - 24

JO - Breast cancer research

JF - Breast cancer research

IS - 1

M1 - 82

ER -

Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients (Breast Cancer Research, (2022), 24, 1, (69), 10.1186/s13058-022-01567-3)

UN SDGs

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