Identifying the most clinically effective exercise prescription for patients with intermittent claudication (MAXIMISE): a component network meta-analysis with concurrent cost-effectiveness analysis

Sean Pymer; Amy Elizabeth Harwood; Jonathon  Prosser; Bharadhwaj  Ravindhran; Candida Fenton; Catherine Elizabeth Hewitt; Chao Huang; Judith Long; Marta O Soares; Robert  Sayers; Josie  Hatfield; Hayley Crane; Sara Pittack; Joanne Reeve; Ana Isabel Duarte; Ian Chetter

doi:10.1002/14651858.CD015940

Identifying the most clinically effective exercise prescription for patients with intermittent claudication (MAXIMISE): a component network meta-analysis with concurrent cost-effectiveness analysis

Sean Pymer, Amy Elizabeth Harwood, Jonathon Prosser, Bharadhwaj Ravindhran, Candida Fenton, Catherine Elizabeth Hewitt, Chao Huang, Judith Long, Marta O Soares, Robert Sayers, Josie Hatfield, Hayley Crane, Sara Pittack, Joanne Reeve, Ana Isabel Duarte, Ian Chetter

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

Original language	English
Article number	CD015940
Number of pages	14
Journal	Cochrane database of systematic reviews (Online)
Volume	2024
Issue number	3
DOIs	https://doi.org/10.1002/14651858.CD015940
Publication status	Published - 18 Mar 2024

Bibliographical note

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10.1002/14651858.CD015940

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Pymer_et_al-2024-Cochrane_Database_of_Systematic_Reviews
Final published version, 213 KB
Embargo ends: 18/03/25

Cite this

Pymer, S., Harwood, A. E., Prosser, J., Ravindhran, B., Fenton, C., Hewitt, C. E., Huang, C., Long, J., Soares, M. O., Sayers, R., Hatfield, J., Crane, H., Pittack, S., Reeve, J., Duarte, A. I., & Chetter, I. (2024). Identifying the most clinically effective exercise prescription for patients with intermittent claudication (MAXIMISE): a component network meta-analysis with concurrent cost-effectiveness analysis. Cochrane database of systematic reviews (Online), 2024(3), Article CD015940. https://doi.org/10.1002/14651858.CD015940

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Pymer, S, Harwood, AE, Prosser, J, Ravindhran, B, Fenton, C, Hewitt, CE, Huang, C, Long, J, Soares, MO, Sayers, R, Hatfield, J, Crane, H, Pittack, S, Reeve, J, Duarte, AI & Chetter, I 2024, 'Identifying the most clinically effective exercise prescription for patients with intermittent claudication (MAXIMISE): a component network meta-analysis with concurrent cost-effectiveness analysis', Cochrane database of systematic reviews (Online), vol. 2024, no. 3, CD015940. https://doi.org/10.1002/14651858.CD015940

Identifying the most clinically effective exercise prescription for patients with intermittent claudication (MAXIMISE): a component network meta-analysis with concurrent cost-effectiveness analysis. / Pymer, Sean; Harwood, Amy Elizabeth; Prosser, Jonathon et al.
In: Cochrane database of systematic reviews (Online), Vol. 2024, No. 3, CD015940, 18.03.2024.

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

TY - JOUR

T1 - Identifying the most clinically effective exercise prescription for patients with intermittent claudication (MAXIMISE)

T2 - a component network meta-analysis with concurrent cost-effectiveness analysis

AU - Pymer, Sean

AU - Harwood, Amy Elizabeth

AU - Prosser, Jonathon

AU - Ravindhran, Bharadhwaj

AU - Fenton, Candida

AU - Hewitt, Catherine Elizabeth

AU - Huang, Chao

AU - Long, Judith

AU - Soares, Marta O

AU - Sayers, Robert

AU - Hatfield, Josie

AU - Crane, Hayley

AU - Pittack, Sara

AU - Reeve, Joanne

AU - Duarte, Ana Isabel

AU - Chetter, Ian

PY - 2024/3/18

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U2 - 10.1002/14651858.CD015940

DO - 10.1002/14651858.CD015940

M3 - Article

SN - 1469-493X

VL - 2024

JO - Cochrane database of systematic reviews (Online)

JF - Cochrane database of systematic reviews (Online)

IS - 3

M1 - CD015940

ER -

Pymer S, Harwood AE, Prosser J, Ravindhran B, Fenton C, Hewitt CE et al. Identifying the most clinically effective exercise prescription for patients with intermittent claudication (MAXIMISE): a component network meta-analysis with concurrent cost-effectiveness analysis. Cochrane database of systematic reviews (Online). 2024 Mar 18;2024(3):CD015940. doi: 10.1002/14651858.CD015940