Evidence map›Paper›PMID 37120493›Full record

ArticleNPJ digital medicine2023

Circadian rhythm biomarker from wearable device data is related to concurrent antidepressant treatment response.

Farzana Z Ali, Ramin V Parsey, Shan Lin, Joseph Schwartz, Christine DeLorenzo

Abstract read
In one paragraph

Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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  19. Frontiers in psychiatry · 2024
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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

5 authors.

Farzana Z AliDepartment of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA. fali@buffalo.edu.ORCID http://orcid.org/0000-0001-7111-5268
Ramin V ParseyDepartment of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA.
Shan LinDepartment of Electrical and Computer Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA.
Joseph SchwartzDepartment of Psychiatry, Renaissance School of Medicine at Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA.
Christine DeLorenzoDepartment of Biomedical Engineering, Stony Brook University, 100 Nicolls Road, Stony Brook, NY, 11794, USA.ORCID http://orcid.org/0000-0001-8035-2417

Funding

Advancing Personalized Antidepressant Treatment Using PET/MRIR01MH104512 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI DELORENZO, CHRISTINE · 2015 to 2018
$2.9M
Scholars in BioMedical Sciences (SBMS) Training ProgramT32GM127253 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI TSIRKA, STYLIANI-ANNA (STELLA) E · 2018 to 2022
$689k
Predicting Antidepressant Response Early in Treatment Using Neuroimaging To Assist Clinicians With Treatment PlanningR36MH130050 · NIMH · STATE UNIVERSITY NEW YORK STONY BROOK · PI ALI, FARZANA ZULFIQUR · 2022 to 2023
$79k
NIGMS NIH HHS T32 GM127253NIMH NIH HHS R01 MH104512NIMH NIH HHS R36 MH130050
6 · The paper itself

Abstract

Major depressive disorder (MDD) is associated with circadian rhythm disruption. Yet, no circadian rhythm biomarkers have been clinically validated for assessing antidepressant response. In this study, 40 participants with MDD provided actigraphy data using wearable devices for one week after initiating antidepressant treatment in a randomized, double-blind, placebo-controlled trial. Their depression severity was calculated pretreatment, after one week and eight weeks of treatment. This study assesses the relationship between parametric and nonparametric measures of circadian rhythm and change in depression. Results show significant association between a lower circadian quotient (reflecting less robust rhythmicity) and improvement in depression from baseline following first week of treatment (estimate = 0.11, F = 7.01, P = 0.01). There is insufficient evidence of an association between circadian rhythm measures acquired during the first week of treatment and outcomes after eight weeks of treatment. Despite this lack of association with future treatment outcome, this scalable, cost-effective biomarker may be useful for timely mental health care through remote monitoring of real-time changes in current depression.

Identifiers

PMID37120493
PMCPMC10148831

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Registered trials

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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.