The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study

Andrew Moriarty; Lewis William Paton; Kym Ie Snell; Richard D Riley; Joshua EJ Buckman; Simon Gilbody; Carolyn Chew-Graham; Shehzad Ali; Stephen Pilling; Nick Meader; Bob Phillips; Peter Coventry; Jaime Delgadillo; David A. Richards; Chris Salisbury; Dean McMillan

doi:10.1186/s41512-021-00101-x

The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study

Andrew Moriarty, Lewis William Paton, Kym Ie Snell, Richard D Riley, Joshua EJ Buckman, Simon Gilbody, Carolyn Chew-Graham, Shehzad Ali, Stephen Pilling, Nick Meader, Bob Phillips, Peter Coventry, Jaime Delgadillo, David A. Richards, Chris Salisbury, Dean McMillan

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

Original language	English
Article number	12
Number of pages	13
Journal	Diagnostic and Prognostic Research
Volume	5
DOIs	https://doi.org/10.1186/s41512-021-00101-x
Publication status	Published - 2 Jul 2021

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10.1186/s41512-021-00101-xLicence: CC BY

The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study
© The Author(s). 2021
Final published version, 658 KBLicence: CC BY

NIHR TCC: DRF - Depression in primary care: Development and validation of a prognostic model to predict relapse and evaluation of relapse prevention interventions
Moriarty, A.
1/01/19 → 31/12/23
Project: Research project (funded) › Research

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Moriarty, A., Paton, L. W., Snell, K. I., Riley, R. D., Buckman, J. EJ., Gilbody, S., Chew-Graham, C., Ali, S., Pilling, S., Meader, N., Phillips, B., Coventry, P., Delgadillo, J., Richards, D. A., Salisbury, C., & McMillan, D. (2021). The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study. Diagnostic and Prognostic Research, 5, Article 12. https://doi.org/10.1186/s41512-021-00101-x

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title = "The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study",

author = "Andrew Moriarty and Paton, {Lewis William} and Snell, {Kym Ie} and Riley, {Richard D} and Buckman, {Joshua EJ} and Simon Gilbody and Carolyn Chew-Graham and Shehzad Ali and Stephen Pilling and Nick Meader and Bob Phillips and Peter Coventry and Jaime Delgadillo and Richards, {David A.} and Chris Salisbury and Dean McMillan",

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Moriarty, A , Paton, LW, Snell, KI, Riley, RD, Buckman, JEJ, Gilbody, S, Chew-Graham, C, Ali, S, Pilling, S, Meader, N , Phillips, B , Coventry, P, Delgadillo, J, Richards, DA, Salisbury, C & McMillan, D 2021, 'The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study', Diagnostic and Prognostic Research, vol. 5, 12. https://doi.org/10.1186/s41512-021-00101-x

TY - JOUR

T1 - The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care

T2 - protocol for the PREDICTR study

AU - Moriarty, Andrew

AU - Paton, Lewis William

AU - Snell, Kym Ie

AU - Riley, Richard D

AU - Buckman, Joshua EJ

AU - Gilbody, Simon

AU - Chew-Graham, Carolyn

AU - Ali, Shehzad

AU - Pilling, Stephen

AU - Meader, Nick

AU - Phillips, Bob

AU - Coventry, Peter

AU - Delgadillo, Jaime

AU - Richards, David A.

AU - Salisbury, Chris

AU - McMillan, Dean

PY - 2021/7/2

Y1 - 2021/7/2

U2 - 10.1186/s41512-021-00101-x

DO - 10.1186/s41512-021-00101-x

M3 - Article

SN - 2397-7523

VL - 5

JO - Diagnostic and Prognostic Research

JF - Diagnostic and Prognostic Research

M1 - 12

ER -

The development and validation of a prognostic model to PREDICT Relapse of depression in adult patients in primary care: protocol for the PREDICTR study

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Projects

NIHR TCC: DRF - Depression in primary care: Development and validation of a prognostic model to predict relapse and evaluation of relapse prevention interventions

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