Evidence map›Paper›PMID 28285255›Full record

Trial reportPsychiatry research2017

Relationships between circadian measures, depression, and response to antidepressant treatment: A preliminary investigation.

Leslie M Swanson, Helen J Burgess, Edward D Huntley, Holli Bertram, Ann Mooney, Jennifer Zollars, Richard Dopp, Robert Hoffmann, Roseanne Armitage, J Todd Arnedt

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Psychiatry research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Chronotherapy in the Treatment of Major Depression.Advances in experimental medicine and biology · 2026
    Review
  6. Review
  7. Article
  8. The sleep-circadian interface: A window into mental disorders.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Chronotype and Mental Health: Recent Advances.Current psychiatry reports · 2018
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Leslie M SwansonDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States. Electronic address: LMSwan@med.umich.edu.
Helen J BurgessRush University Medical Center, Chicago, IL, United States.
Edward D HuntleyInstitute for Social Research, University of Michigan, Ann Arbor, MI, United States.
Holli BertramDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Ann MooneyDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Jennifer ZollarsDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Richard DoppDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Robert HoffmannDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.
Roseanne ArmitageUniversity of Michigan, Ann Arbor, MI, United States.
J Todd ArnedtDepartment of Psychiatry, University of Michigan, Ann Arbor, MI, United States.

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Transforming Translational Science and Education to Benefit Human HealthUL1TR000043 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY · 2012 to 2015
$26.8M
Repeated Partial Sleep Deprivation to Augment SSRI Response in DepressionR01MH077690 · NIMH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ARNEDT, J. TODD · 2009 to 2012
$1.5M
Sleep-Disordered Breathing and PAP in Perinatal DepressionK23HL122461 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SWANSON, LESLIE M · 2015 to 2019
$813k
NCATS NIH HHS UL1 TR000043NCATS NIH HHS UL1 TR000433NHLBI NIH HHS K23 HL122461NIMH NIH HHS R01 MH077690
6 · The paper itself

Abstract

Few studies have examined relationships between circadian rhythms and unipolar major depressive disorder. Further, no study to date has examined circadian markers as predictors of response to depression treatment. In the present study, we examined associations between circadian timing and its alignment with sleep and depression severity in 30 adults with major depressive disorder who completed a randomized controlled trial of two weeks of time in bed (TIB) restriction administered adjunctive to fluoxetine, with a focus on sex differences. Thirty adults with major depressive disorder received 8 weeks of fluoxetine 20-40 mgs and were randomized to 8h TIB or 6h TIB for the first 2 weeks. Participants in the 6h TIB condition were further randomized to a delayed bedtime or advanced risetime group. Circadian measures included dim light melatonin onset (DLMO) and the difference between DLMO and midsleep point (i.e., phase angle difference). Depression was assessed using the Hamilton Rating Scale for Depression. For females, a phase delay after 2 weeks of fluoxetine and the experimental TIB manipulation was associated with a poorer response to fluoxetine, and depression severity was negatively correlated with phase angle difference, whereas males showed a positive correlation between depression severity and phase angle difference.

Indexed as

AdultAntidepressive AgentsCircadian RhythmFemaleFluoxetineHumansLightMajor Depressive DisorderMaleMelatoninSex FactorsSleepTreatment OutcomeYoung AdultAntidepressive AgentsFluoxetineMelatoninAntidepressantCircadianDepressionMelatoninPhasePhase angle differenceSleep

Identifiers

PMID28285255
PMCPMC5438893

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.