Evidence map›Paper›PMID 32700634›Full record

ReviewJournal of biological rhythms2020

Novel Approaches for Assessing Circadian Rhythmicity in Humans: A Review.

Derk-Jan Dijk, Jeanne F Duffy

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of biological rhythms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
6.8field-weighted citation impact, top 2% of its field
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

63 citing papers in PubMed, 127 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. HairTime: A noninvasive assay for estimating circadian phase from a single hair sample.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. The relationship between sleep and circadian-sleep phase angles based on dim light melatonin onset predicted from light and activity data.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2025
    Article
  13. Review
  14. Article
  15. Pathophysiological Models of Hypersomnolence Associated With Depression.Biological psychiatry global open science · 2025
    Review
  16. Review
  17. Report from the WPA Section on Psychiatry and Sleep-Wakefulness Disorders.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025
    Article
  18. Review
  19. Article
  20. Article

3 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 2 countries.

Derk-Jan DijkSurrey Sleep Research Centre, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.ORCID 0000-0001-5314-1008
Jeanne F DuffyDivision of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Brigham and Women's Hospital · USUniversity of Surrey · GB

Funding

TRANSPLANTATION ANALYSIS OF CIRCADIAN RHYTHMS AND AGINGP01AG009975 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SAPER, CLIFFORD B · 1991 to 2018
$23.1M
Treatment of Circadian Disruption from Shiftwork in Older AdultsR01AG044416 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI DUFFY, JEANNE F · 2013 to 2022
$4.3M
Biotechnology and Biological Sciences Research Council BB/F022883NIA NIH HHS P01 AG009975NIA NIH HHS R01 AG044416
6 · The paper itself

Abstract

The temporal organization of molecular and physiological processes is driven by environmental and behavioral cycles as well as by self-sustained molecular circadian oscillators. Quantification of phase, amplitude, period, and disruption of circadian oscillators is essential for understanding their contribution to sleep-wake disorders, social jet lag, interindividual differences in entrainment, and the development of chrono-therapeutics. Traditionally, assessment of the human circadian system, and the output of the SCN in particular, has required collection of long time series of univariate markers such as melatonin or core body temperature. Data were collected in specialized laboratory protocols designed to control for environmental and behavioral influences on rhythmicity. These protocols are time-consuming, expensive, and not practical for assessing circadian status in patients or in participants in epidemiologic studies. Novel approaches for assessment of circadian parameters of the SCN or peripheral oscillators have been developed. They are based on machine learning or mathematical model-informed analyses of features extracted from 1 or a few samples of high-dimensional data, such as transcriptomes, metabolomes, long-term simultaneous recording of activity, light exposure, skin temperature, and heart rate or

Indexed as

Circadian RhythmHumansMelatoninSleepSleep Disorders, Circadian RhythmMelatoninbiomarkersdata scienceheart ratelightmachine learningmathematical modelsskin temperaturetranscriptomics

Identifiers

PMID32700634
PMCPMC7543025
OpenAlexW3043916828

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.