Imperial College London

Dr. David James PINATO

Faculty of MedicineDepartment of Surgery & Cancer

Clinical Reader in Medical Oncology
 
 
 
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Contact

 

+44 (0)20 7594 2799david.pinato Website

 
 
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Location

 

ICTEM buildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Schettini:2022:10.1016/j.ctrv.2022.102468,
author = {Schettini, F and Venturini, S and Giuliano, M and Lambertini, M and Pinato, DJ and Onesti, CE and De, Placido P and Harbeck, N and Lueftner, D and Denys, H and Van, Dam P and Arpino, G and Zaman, K and Mustacchi, G and Gligorov, J and Awada, A and Campone, M and Wildiers, H and Gennari, A and Tjan-Heijnen, V and Bartsch, R and Cortes, J and Paris, I and Martin, M and De, Placido S and Del, Mastro L and Jerusalem, G and Curigliano, G and Prat, A and Generali, D},
doi = {10.1016/j.ctrv.2022.102468},
journal = {CANCER TREATMENT REVIEWS},
title = {Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer},
url = {http://dx.doi.org/10.1016/j.ctrv.2022.102468},
volume = {111},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Schettini,F
AU - Venturini,S
AU - Giuliano,M
AU - Lambertini,M
AU - Pinato,DJ
AU - Onesti,CE
AU - De,Placido P
AU - Harbeck,N
AU - Lueftner,D
AU - Denys,H
AU - Van,Dam P
AU - Arpino,G
AU - Zaman,K
AU - Mustacchi,G
AU - Gligorov,J
AU - Awada,A
AU - Campone,M
AU - Wildiers,H
AU - Gennari,A
AU - Tjan-Heijnen,V
AU - Bartsch,R
AU - Cortes,J
AU - Paris,I
AU - Martin,M
AU - De,Placido S
AU - Del,Mastro L
AU - Jerusalem,G
AU - Curigliano,G
AU - Prat,A
AU - Generali,D
DO - 10.1016/j.ctrv.2022.102468
PY - 2022///
SN - 0305-7372
TI - Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer
T2 - CANCER TREATMENT REVIEWS
UR - http://dx.doi.org/10.1016/j.ctrv.2022.102468
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000878610600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 111
ER -