Use of Quantile Treatment Effects Analysis to Describe Antidepressant Response in Randomized Clinical Trials Submitted to the US Food and Drug Administration: A Secondary Analysis of Pooled Trial Data.

dc.contributor.author

Meyerson, William U

dc.contributor.author

Pieper, Carl F

dc.contributor.author

Hoyle, Rick H

dc.date.accessioned

2023-07-02T08:12:08Z

dc.date.available

2023-07-02T08:12:08Z

dc.date.issued

2023-06

dc.date.updated

2023-07-02T08:12:07Z

dc.description.abstract

Importance

Major depressive disorder (MDD) is a leading cause of global distress and disability. Earlier studies have indicated that antidepressant therapy confers a modest reduction in depressive symptoms on average, but the distribution of this reduction requires more research.

Objective

To estimate the distribution of antidepressant response by depression severity.

Design, setting, and participants

In this secondary analysis of pooled trial data, quantile treatment effect (QTE) analysis was conducted from the US Food and Drug Administration (FDA) database of antidepressant monotherapy for patients with MDD, encompassing 232 positive and negative trials submitted to the FDA between 1979 and 2016. Analysis was restricted to participants with severe MDD (17-item Hamilton Rating Scale for Depression [HAMD-17] score ≥20). Data analysis was conducted from August 16, 2022, to April 16, 2023.

Intervention

Antidepressant monotherapy compared with placebo.

Main outcomes and measures

The distribution of percentage depression response was compared between the pooled treatment arm and pooled placebo arm. Percentage depression response was defined as 1 minus the ratio of final depression severity to baseline depression severity, expressed as a percentage. Depression severity was reported in HAMD-17-equivalent units.

Results

A total of 57 313 participants with severe depression were included in the analysis. There was no significant imbalance in baseline depression severity between the pooled treatment arm and pooled placebo arm, with a mean HAMD-17 difference of 0.037 points (P = .11 by Wilcoxon rank sum test). An interaction term test for rank similarity did not reject the rank similarity governing percentage depression response (P > .99). The entire distribution of depression response was more favorable in the pooled treatment arm than in the pooled placebo arm. The maximum separation between treatment and placebo occurred at the 55th quantile and corresponded to an absolute improvement in depression due to active drug of 13.5% (95% CI, 12.4%-14.4%). The separation between treatment and placebo diminished near the tails of the distribution.

Conclusions and relevance

In this QTE analysis of pooled clinical trial data from the FDA, antidepressants were found to confer a small reduction in depression severity that was broadly distributed across participants with severe depression. Alternatively, if the assumptions behind the QTE analysis are not met, then the data are also compatible with antidepressants eliciting more complete response in a smaller subset of participants than is suggested by this QTE analysis.
dc.identifier

2805805

dc.identifier.issn

2574-3805

dc.identifier.issn

2574-3805

dc.identifier.uri

https://hdl.handle.net/10161/28294

dc.language

eng

dc.publisher

American Medical Association (AMA)

dc.relation.ispartof

JAMA network open

dc.relation.isversionof

10.1001/jamanetworkopen.2023.17714

dc.subject

Humans

dc.subject

Antidepressive Agents

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Remission Induction

dc.subject

Depressive Disorder, Major

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United States Food and Drug Administration

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United States

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Randomized Controlled Trials as Topic

dc.title

Use of Quantile Treatment Effects Analysis to Describe Antidepressant Response in Randomized Clinical Trials Submitted to the US Food and Drug Administration: A Secondary Analysis of Pooled Trial Data.

dc.type

Journal article

duke.contributor.orcid

Pieper, Carl F|0000-0003-4809-1725

duke.contributor.orcid

Hoyle, Rick H|0000-0003-0900-2814

pubs.begin-page

e2317714

pubs.issue

6

pubs.organisational-group

Duke

pubs.organisational-group

Sanford School of Public Policy

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.organisational-group

Psychology & Neuroscience

pubs.organisational-group

Institutes and Provost's Academic Units

pubs.organisational-group

University Institutes and Centers

pubs.organisational-group

Duke Institute for Brain Sciences

pubs.organisational-group

Center for Child and Family Policy

pubs.publication-status

Published

pubs.volume

6

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