Evidence map›Paper›PMID 35306404›Full record

ArticleSleep medicine2022

Enhancing cosinor analysis of circadian phase markers using the gamma distribution.

Margaret M Doyle, Terrence E Murphy, Brienne Miner, Margaret A Pisani, Elizabeth R Lusczek, Melissa P Knauert

Abstract read
In one paragraph

Article in Sleep medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. The clinical value of circadian biofeedback in chronic heart failure.European heart journal. Digital health · 2026
    Article
  4. A SAS macro for multilevel Cosinor analysis.Computer methods and programs in biomedicine · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
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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

6 authors.

Margaret M DoyleSection of Geriatrics, Department of Medicine, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA. Electronic address: margaret.doyle@yale.edu.
Terrence E MurphySection of Geriatrics, Department of Medicine, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.
Brienne MinerSection of Geriatrics, Department of Medicine, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.
Margaret A PisaniSection of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.
Elizabeth R LusczekDepartment of Surgery, University of Minnesota, 420 Delaware Street SE, Minneapolis, MN 55455, USA.
Melissa P KnauertSection of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Circadian Rhythm as a Novel Therapeutic Target in the Intensive Care UnitK23HL138229 · NHLBI · YALE UNIVERSITY · PI KNAUERT, MELISSA P · 2018 to 2021
$746k
Feasibility of Measuring Sleep in a Critical Care EnvironmentR21NR011066 · NINR · YALE UNIVERSITY · PI PISANI, MARGARET A · 2009 to 2010
$439k
Novel Circadian Biomarkers in Medical ICU PatientsR03HL157009 · NHLBI · YALE UNIVERSITY · PI KNAUERT, MELISSA P · 2021 to 2022
$168k
NHLBI NIH HHS K23 HL138229NHLBI NIH HHS R03 HL157009NIA NIH HHS P30 AG021342NINR NIH HHS R21 NR011066
6 · The paper itself

Abstract

The cosinor model, in which a cosine curve is fitted to periodic data within a regression model, is a frequently used method for describing patterns of cyclical activity such as circadian rhythms. For circadian variables of interest (eg, melatonin and heart rate) that do not take on negative values, the assumption of normally distributed residuals required by the general linear model, which is most commonly used for cosinor analysis, may not be appropriate. Alternatively, a generalized linear model with the gamma distribution (GZLM-gamma) is specifically defined to accommodate non-negative outcomes. Herein, we demonstrate the improved fit and gains of efficiency in detection of circadian rhythm afforded by using the GZLM-gamma in cosinor models of heart rate, actigraphic activity, and urinary 6-sulfatoxymelatonin. Notably, this improved detection of circadian rhythm allows retention of additional patients for downstream analyses, further improving study power.

Indexed as

Circadian RhythmMelatoninActigraphyBiomarkersHeart RateHumansBiomarkersMelatoninActigraphyCircadianCosinorDiurnal variationGamma distributionNormal distribution

Identifiers

PMID35306404
PMCPMC9356385

What OpenQuestion holds

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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.