Literature DB >> 22883473

Estimating remission from untreated major depression: a systematic review and meta-analysis.

H A Whiteford1, M G Harris, G McKeon, A Baxter, C Pennell, J J Barendregt, J Wang.   

Abstract

BACKGROUND: Few studies have examined spontaneous remission from major depression. This study investigated the proportion of prevalent cases of untreated major depression that will remit without treatment in a year, and whether remission rates vary by disorder severity.
METHOD: Wait-list controlled trials and observational cohort studies published up to 2010 with data describing remission from untreated depression at ≤ 2-year follow-up were identified. Remission was defined as rescinded diagnoses or below threshold scores on standardized symptom measures. Nineteen studies were included in a regression model predicting the probability of 12-month remission from untreated depression, using logit transformed remission proportion as the dependent variable. Covariates included age, gender, study type and diagnostic measure.
RESULTS: Wait-listed compared to primary-care samples, studies with longer follow-up duration and older adult compared to adult samples were associated with lower probability of remission. Child and adolescent samples were associated with higher probability of remission. Based on adult samples recruited from primary-care settings, the model estimated that 23% of prevalent cases of untreated depression will remit within 3 months, 32% within 6 months and 53% within 12 months.
CONCLUSIONS: It is undesirable to expect 100% treatment coverage for depression, given many will remit before access to services is feasible. Data were drawn from consenting wait-list and primary-care samples, which potentially over-represented mild-to-moderate cases of depression. Considering reported rates of spontaneous remission, a short untreated period seems defensible for this subpopulation, where judged appropriate by the clinician. Conclusions may not apply to individuals with more severe depression.

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Year:  2012        PMID: 22883473     DOI: 10.1017/S0033291712001717

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  63 in total

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4.  [Epidemic of depression? : Development of prevalence and help-seeking behaviour].

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Authors:  Gouri J Mahajan; Eric J Vallender; Michael R Garrett; Lavanya Challagundla; James C Overholser; George Jurjus; Lesa Dieter; Maryam Syed; Damian G Romero; Hamed Benghuzzi; Craig A Stockmeier
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2017-11-22       Impact factor: 5.067

6.  Author's reply - the cognitive therapy of depression.

Authors:  Richard G T Gipps
Journal:  BJPsych Bull       Date:  2017-10

7.  Predictors of Changes in Health-Related Quality of Life 6 and 12 months After a Bariatric Procedure.

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8.  Trajectories of maternal depression: a 27-year population-based prospective study.

Authors:  J M Najman; M Plotnikova; G M Williams; R Alati; A A Mamun; J Scott; N Wray; A M Clavarino
Journal:  Epidemiol Psychiatr Sci       Date:  2016-01-19       Impact factor: 6.892

9.  Effectiveness of the Thinking Healthy Programme for perinatal depression delivered through peers: Pooled analysis of two randomized controlled trials in India and Pakistan.

Authors:  Fiona Vanobberghen; Helen A Weiss; Daniela C Fuhr; Siham Sikander; Ejma Afonso; Ikhlaq Ahmad; Najia Atif; Amina Bibi; Tayyaba Bibi; Samina Bilal; Aveena De Sa; Ethel D'Souza; Akankasha Joshi; Priya Korgaonkar; Revathi Krishna; Anisha Lazarus; Rakshanda Liaqat; Maria Sharif; Benedict Weobong; Ahmed Zaidi; Shaffaq Zuliqar; Vikram Patel; Atif Rahman
Journal:  J Affect Disord       Date:  2019-11-23       Impact factor: 4.839

10.  The association of an inability to form and maintain close relationships due to a medical condition with anxiety and depressive disorders.

Authors:  Adam Simning; Christopher L Seplaki; Yeates Conwell
Journal:  J Affect Disord       Date:  2016-01-06       Impact factor: 4.839

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