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What predicts response to sertraline for people with depression in primary care?: a secondary data analysis of moderators in the PANDA trial

What predicts response to sertraline for people with depression in primary care?: a secondary data analysis of moderators in the PANDA trial
What predicts response to sertraline for people with depression in primary care?: a secondary data analysis of moderators in the PANDA trial

Purpose: antidepressants are a first-line treatment for depression, yet many patients do not respond. There is a need to understand which patients have greater treatment response but there is little research on patient characteristics that moderate the effectiveness of antidepressants. This study examined potential moderators of response to antidepressant treatment.

Methods: the PANDA trial investigated the clinical effectiveness of sertraline (n = 326) compared with placebo (n = 329) in primary care patients with depressive symptoms. We investigated 11 potential moderators of treatment effect (age, employment, suicidal ideation, marital status, financial difficulty, education, social support, family history of depression, life events, health and past antidepressant use). Using multiple linear regression, we investigated the appropriate interaction term for each of these potential moderators with treatment as allocated.

Results: family history of depression was the only variable with weak evidence of effect modification (p-value for interaction = 0.048), such that those with no family history of depression may have greater benefit from antidepressant treatment. We found no evidence of effect modification (p-value for interactions≥0.29) by any of the other ten variables.

Conclusion: evidence for treatment moderators was extremely limited, supporting an approach of continuing discuss antidepressant treatment with all patients presenting with moderate to severe depressive symptoms.

Adult, Aged, Antidepressive Agents/therapeutic use, Data Analysis, Depression/drug therapy, Female, Humans, Male, Middle Aged, Primary Health Care, Secondary Data Analysis, Sertraline/therapeutic use, Treatment Outcome
1932-6203
e0300366
Archer, Charlotte
9125f3f2-08a5-4a8a-befc-27b38c101e24
Kessler, David
3659e526-e667-46cb-bd9c-02bce7d58d41
Lewis, Gemma
736f9361-ca4d-4347-bc75-18d21fda5052
Araya, Ricardo
64a20442-86f8-4125-8cce-beee34f66e4c
Duffy, Larisa
68ab154c-9825-44ad-8385-b3dcadf30651
Gilbody, Simon
6d135882-a8df-444c-85aa-980dddef45a5
Lewis, Glyn
11aed8f6-3905-455e-8e89-34147a5e5d26
Kendrick, Tony
c697a72c-c698-469d-8ac2-f00df40583e5
Peters, Tim J
b3ab1e07-326f-41c2-9813-f00f3b75bcf0
Wiles, Nicola
fcec2769-de78-4b86-b9c1-eab754a02837
Archer, Charlotte
9125f3f2-08a5-4a8a-befc-27b38c101e24
Kessler, David
3659e526-e667-46cb-bd9c-02bce7d58d41
Lewis, Gemma
736f9361-ca4d-4347-bc75-18d21fda5052
Araya, Ricardo
64a20442-86f8-4125-8cce-beee34f66e4c
Duffy, Larisa
68ab154c-9825-44ad-8385-b3dcadf30651
Gilbody, Simon
6d135882-a8df-444c-85aa-980dddef45a5
Lewis, Glyn
11aed8f6-3905-455e-8e89-34147a5e5d26
Kendrick, Tony
c697a72c-c698-469d-8ac2-f00df40583e5
Peters, Tim J
b3ab1e07-326f-41c2-9813-f00f3b75bcf0
Wiles, Nicola
fcec2769-de78-4b86-b9c1-eab754a02837

Archer, Charlotte, Kessler, David, Lewis, Gemma, Araya, Ricardo, Duffy, Larisa, Gilbody, Simon, Lewis, Glyn, Kendrick, Tony, Peters, Tim J and Wiles, Nicola (2024) What predicts response to sertraline for people with depression in primary care?: a secondary data analysis of moderators in the PANDA trial. PLoS ONE, 19 (5), e0300366, [e0300366]. (doi:10.1371/journal.pone.0300366).

Record type: Article

Abstract

Purpose: antidepressants are a first-line treatment for depression, yet many patients do not respond. There is a need to understand which patients have greater treatment response but there is little research on patient characteristics that moderate the effectiveness of antidepressants. This study examined potential moderators of response to antidepressant treatment.

Methods: the PANDA trial investigated the clinical effectiveness of sertraline (n = 326) compared with placebo (n = 329) in primary care patients with depressive symptoms. We investigated 11 potential moderators of treatment effect (age, employment, suicidal ideation, marital status, financial difficulty, education, social support, family history of depression, life events, health and past antidepressant use). Using multiple linear regression, we investigated the appropriate interaction term for each of these potential moderators with treatment as allocated.

Results: family history of depression was the only variable with weak evidence of effect modification (p-value for interaction = 0.048), such that those with no family history of depression may have greater benefit from antidepressant treatment. We found no evidence of effect modification (p-value for interactions≥0.29) by any of the other ten variables.

Conclusion: evidence for treatment moderators was extremely limited, supporting an approach of continuing discuss antidepressant treatment with all patients presenting with moderate to severe depressive symptoms.

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Accepted/In Press date: 23 February 2024
Published date: 9 May 2024
Additional Information: Publisher Copyright: © 2024 Archer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Adult, Aged, Antidepressive Agents/therapeutic use, Data Analysis, Depression/drug therapy, Female, Humans, Male, Middle Aged, Primary Health Care, Secondary Data Analysis, Sertraline/therapeutic use, Treatment Outcome

Identifiers

Local EPrints ID: 490054
URI: http://eprints.soton.ac.uk/id/eprint/490054
ISSN: 1932-6203
PURE UUID: 71b7c3e0-4226-4bc9-a98c-ad018498a0a6
ORCID for Tony Kendrick: ORCID iD orcid.org/0000-0003-1618-9381

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Date deposited: 14 May 2024 16:34
Last modified: 05 Jun 2024 01:35

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Contributors

Author: Charlotte Archer
Author: David Kessler
Author: Gemma Lewis
Author: Ricardo Araya
Author: Larisa Duffy
Author: Simon Gilbody
Author: Glyn Lewis
Author: Tony Kendrick ORCID iD
Author: Tim J Peters
Author: Nicola Wiles

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