Can Real-world Data and Rapid Learning Drive Improvements in Lung Cancer Survival? The RAPID-RT Study

G Price; S Devaney; D P French; R Holley; S Holm; E Kontopantelis; A McWilliam; K Payne; N Proudlove; C Sanders; R Willans; T van Staa; L Hamrang; B Turner; S Parsons; C Faivre-Finn

doi:10.1016/j.clon.2021.12.017

Can Real-world Data and Rapid Learning Drive Improvements in Lung Cancer Survival? The RAPID-RT Study

G Price, S Devaney, D P French, R Holley, S Holm, E Kontopantelis, A McWilliam, K Payne, N Proudlove, C Sanders, R Willans, T van Staa, L Hamrang, B Turner, S Parsons, C Faivre-Finn

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Pages (from-to)	407-410
Number of pages	4
Journal	Clinical oncology (Royal College of Radiologists (Great Britain))
Volume	34
Issue number	6
DOIs	https://doi.org/10.1016/j.clon.2021.12.017
Publication status	Published - 6 Jan 2022

Keywords

Carcinoma, Non-Small-Cell Lung
Humans
Lung Neoplasms/therapy

Access to Document

10.1016/j.clon.2021.12.017

RAPID-RT: Using real world data and rapid learning to drive improvements in lung cancer survival
Faivre-Finn, C., Devaney, S., French, D., Holm, S., Kontopantelis, E., Mcwilliam, A., Payne, K., Price, G., Proudlove, N., Sanders, C. & Van Staa, T.
1/11/21 → 31/10/26
Project: Research

Cite this

Price, G., Devaney, S., French, D. P., Holley, R., Holm, S., Kontopantelis, E., McWilliam, A., Payne, K., Proudlove, N., Sanders, C., Willans, R., van Staa, T., Hamrang, L., Turner, B., Parsons, S., & Faivre-Finn, C. (2022). Can Real-world Data and Rapid Learning Drive Improvements in Lung Cancer Survival? The RAPID-RT Study. Clinical oncology (Royal College of Radiologists (Great Britain)), 34(6), 407-410. https://doi.org/10.1016/j.clon.2021.12.017

@article{480cf6f94b9547c9831c6ae46ff29de3,

title = "Can Real-world Data and Rapid Learning Drive Improvements in Lung Cancer Survival? The RAPID-RT Study",

keywords = "Carcinoma, Non-Small-Cell Lung, Humans, Lung Neoplasms/therapy",

author = "G Price and S Devaney and French, {D P} and R Holley and S Holm and E Kontopantelis and A McWilliam and K Payne and N Proudlove and C Sanders and R Willans and {van Staa}, T and L Hamrang and B Turner and S Parsons and C Faivre-Finn",

note = "Funding Information: The RAPID-RT programme is funded by the National Institute for Health Research (NIHR) under its Programe Grant for Applied Research (grant reference number NIHR202024). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. C. Faivre-Finn, D.P. French, K. Payne and C. Sanders are supported by a grant from the NIHR Manchester Biomedical Research Centre. G. Price is supported by Cancer Research UK RadNet Manchester [C1994/A28701].",

year = "2022",

month = jan,

day = "6",

doi = "10.1016/j.clon.2021.12.017",

language = "English",

volume = "34",

pages = "407--410",

journal = "Clinical Oncology",

issn = "0936-6555",

publisher = "W.B. Saunders Co. Ltd",

number = "6",

}

Price, G, Devaney, S , French, DP , Holley, R, Holm, S, Kontopantelis, E , McWilliam, A, Payne, K, Proudlove, N, Sanders, C, Willans, R, van Staa, T, Hamrang, L, Turner, B, Parsons, S & Faivre-Finn, C 2022, 'Can Real-world Data and Rapid Learning Drive Improvements in Lung Cancer Survival? The RAPID-RT Study', Clinical oncology (Royal College of Radiologists (Great Britain)), vol. 34, no. 6, pp. 407-410. https://doi.org/10.1016/j.clon.2021.12.017

TY - JOUR

T1 - Can Real-world Data and Rapid Learning Drive Improvements in Lung Cancer Survival? The RAPID-RT Study

AU - Price, G

AU - Devaney, S

AU - French, D P

AU - Holley, R

AU - Holm, S

AU - Kontopantelis, E

AU - McWilliam, A

AU - Payne, K

AU - Proudlove, N

AU - Sanders, C

AU - Willans, R

AU - van Staa, T

AU - Hamrang, L

AU - Turner, B

AU - Parsons, S

AU - Faivre-Finn, C

N1 - Funding Information: The RAPID-RT programme is funded by the National Institute for Health Research (NIHR) under its Programe Grant for Applied Research (grant reference number NIHR202024). The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. C. Faivre-Finn, D.P. French, K. Payne and C. Sanders are supported by a grant from the NIHR Manchester Biomedical Research Centre. G. Price is supported by Cancer Research UK RadNet Manchester [C1994/A28701].

PY - 2022/1/6

Y1 - 2022/1/6

KW - Carcinoma, Non-Small-Cell Lung

KW - Humans

KW - Lung Neoplasms/therapy

U2 - 10.1016/j.clon.2021.12.017

DO - 10.1016/j.clon.2021.12.017

M3 - Editorial

C2 - 35000827

VL - 34

SP - 407

EP - 410

JO - Clinical Oncology

JF - Clinical Oncology

SN - 0936-6555

IS - 6

ER -

Can Real-world Data and Rapid Learning Drive Improvements in Lung Cancer Survival? The RAPID-RT Study

Keywords

Access to Document

Projects

RAPID-RT: Using real world data and rapid learning to drive improvements in lung cancer survival

Cite this