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The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis

BACKGROUND: This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care. METHODS: We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the mos...

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Autores principales: Buckman, Joshua E. J., Saunders, Rob, Cohen, Zachary D., Barnett, Phoebe, Clarke, Katherine, Ambler, Gareth, DeRubeis, Robert J., Gilbody, Simon, Hollon, Steven D., Kendrick, Tony, Watkins, Edward, Wiles, Nicola, Kessler, David, Richards, David, Sharp, Deborah, Brabyn, Sally, Littlewood, Elizabeth, Salisbury, Chris, White, Ian R., Lewis, Glyn, Pilling, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188529/
https://www.ncbi.nlm.nih.gov/pubmed/33849685
http://dx.doi.org/10.1017/S0033291721001367
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author Buckman, Joshua E. J.
Saunders, Rob
Cohen, Zachary D.
Barnett, Phoebe
Clarke, Katherine
Ambler, Gareth
DeRubeis, Robert J.
Gilbody, Simon
Hollon, Steven D.
Kendrick, Tony
Watkins, Edward
Wiles, Nicola
Kessler, David
Richards, David
Sharp, Deborah
Brabyn, Sally
Littlewood, Elizabeth
Salisbury, Chris
White, Ian R.
Lewis, Glyn
Pilling, Stephen
author_facet Buckman, Joshua E. J.
Saunders, Rob
Cohen, Zachary D.
Barnett, Phoebe
Clarke, Katherine
Ambler, Gareth
DeRubeis, Robert J.
Gilbody, Simon
Hollon, Steven D.
Kendrick, Tony
Watkins, Edward
Wiles, Nicola
Kessler, David
Richards, David
Sharp, Deborah
Brabyn, Sally
Littlewood, Elizabeth
Salisbury, Chris
White, Ian R.
Lewis, Glyn
Pilling, Stephen
author_sort Buckman, Joshua E. J.
collection PubMed
description BACKGROUND: This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care. METHODS: We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the most commonly used comprehensive measure of depressive and anxiety disorder symptoms and diagnoses, in primary care depression RCTs (the Revised Clinical Interview Schedule: CIS-R). Two-stage random-effects meta-analyses were conducted. RESULTS: Twelve (n = 6024) of thirteen eligible studies (n = 6175) provided individual patient data. There was a 31% (95%CI: 25 to 37) difference in depressive symptoms at 3–4 months per standard deviation increase in baseline depressive symptoms. Four additional factors: the duration of anxiety; duration of depression; comorbid panic disorder; and a history of antidepressant treatment were also independently associated with poorer prognosis. There was evidence that the difference in prognosis when these factors were combined could be of clinical importance. Adding these variables improved the amount of variance explained in 3–4 month depressive symptoms from 16% using depressive symptom severity alone to 27%. Risk of bias (assessed with QUIPS) was low in all studies and quality (assessed with GRADE) was high. Sensitivity analyses did not alter our conclusions. CONCLUSIONS: When adults seek treatment for depression clinicians should routinely assess for the duration of anxiety, duration of depression, comorbid panic disorder, and a history of antidepressant treatment alongside depressive symptom severity. This could provide clinicians and patients with useful and desired information to elucidate prognosis and aid the clinical management of depression.
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spelling pubmed-81885292021-06-22 The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis Buckman, Joshua E. J. Saunders, Rob Cohen, Zachary D. Barnett, Phoebe Clarke, Katherine Ambler, Gareth DeRubeis, Robert J. Gilbody, Simon Hollon, Steven D. Kendrick, Tony Watkins, Edward Wiles, Nicola Kessler, David Richards, David Sharp, Deborah Brabyn, Sally Littlewood, Elizabeth Salisbury, Chris White, Ian R. Lewis, Glyn Pilling, Stephen Psychol Med Review Article BACKGROUND: This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care. METHODS: We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the most commonly used comprehensive measure of depressive and anxiety disorder symptoms and diagnoses, in primary care depression RCTs (the Revised Clinical Interview Schedule: CIS-R). Two-stage random-effects meta-analyses were conducted. RESULTS: Twelve (n = 6024) of thirteen eligible studies (n = 6175) provided individual patient data. There was a 31% (95%CI: 25 to 37) difference in depressive symptoms at 3–4 months per standard deviation increase in baseline depressive symptoms. Four additional factors: the duration of anxiety; duration of depression; comorbid panic disorder; and a history of antidepressant treatment were also independently associated with poorer prognosis. There was evidence that the difference in prognosis when these factors were combined could be of clinical importance. Adding these variables improved the amount of variance explained in 3–4 month depressive symptoms from 16% using depressive symptom severity alone to 27%. Risk of bias (assessed with QUIPS) was low in all studies and quality (assessed with GRADE) was high. Sensitivity analyses did not alter our conclusions. CONCLUSIONS: When adults seek treatment for depression clinicians should routinely assess for the duration of anxiety, duration of depression, comorbid panic disorder, and a history of antidepressant treatment alongside depressive symptom severity. This could provide clinicians and patients with useful and desired information to elucidate prognosis and aid the clinical management of depression. Cambridge University Press 2021-05 2021-04-14 /pmc/articles/PMC8188529/ /pubmed/33849685 http://dx.doi.org/10.1017/S0033291721001367 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Review Article
Buckman, Joshua E. J.
Saunders, Rob
Cohen, Zachary D.
Barnett, Phoebe
Clarke, Katherine
Ambler, Gareth
DeRubeis, Robert J.
Gilbody, Simon
Hollon, Steven D.
Kendrick, Tony
Watkins, Edward
Wiles, Nicola
Kessler, David
Richards, David
Sharp, Deborah
Brabyn, Sally
Littlewood, Elizabeth
Salisbury, Chris
White, Ian R.
Lewis, Glyn
Pilling, Stephen
The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis
title The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis
title_full The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis
title_fullStr The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis
title_full_unstemmed The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis
title_short The contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis
title_sort contribution of depressive ‘disorder characteristics’ to determinations of prognosis for adults with depression: an individual patient data meta-analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8188529/
https://www.ncbi.nlm.nih.gov/pubmed/33849685
http://dx.doi.org/10.1017/S0033291721001367
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