Evidence map›Paper›PMID 28633722›Full record

ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2017

Characterization of Patients Who Present With Insomnia: Is There Room for a Symptom Cluster-Based Approach?

Megan R Crawford, Diana A Chirinos, Toni Iurcotta, Jack D Edinger, James K Wyatt, Rachel Manber, Jason C Ong

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

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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

7 authors at 6 institutions in 2 countries.

Megan R CrawfordDepartment of Psychology, Swansea University, Swansea, United Kingdom.
Diana A ChirinosDepartment of Psychology, Rice University, Houston, Texas.
Toni IurcottaHofstra Northwell School of Medicine, Hempstead, New York.
Jack D EdingerDepartment of Medicine, National Jewish Health, Denver, Colorado.
James K WyattDepartment of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois.
Rachel ManberDepartment of Psychiatry, Stanford University Medical Center, Palo Alto, California.
Jason C OngDepartment of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois.
Rush University Medical Center · USHofstra University · USNational Jewish Health · USNorthwestern University · USRice University · USStanford Medicine · US

Funding

Multidisciplinary Treatment for Obstructive Sleep Apnea and InsomniaR01HL114529 · NHLBI · RUSH UNIVERSITY MEDICAL CENTER · PI ONG, JASON C · 2012 to 2016
$1.9M
NHLBI NIH HHS R01 HL114529
6 · The paper itself

Abstract

STUDY

objectivesThis study examined empirically derived symptom cluster profiles among patients who present with insomnia using clinical data and polysomnography.

methodsLatent profile analysis was used to identify symptom cluster profiles of 175 individuals (63% female) with insomnia disorder based on total scores on validated self-report instruments of daytime and nighttime symptoms (Insomnia Severity Index, Glasgow Sleep Effort Scale, Fatigue Severity Scale, Beliefs and Attitudes about Sleep, Epworth Sleepiness Scale, Pre-Sleep Arousal Scale), mean values from a 7-day sleep diary (sleep onset latency, wake after sleep onset, and sleep efficiency), and total sleep time derived from an in-laboratory PSG.

resultsThe best-fitting model had three symptom cluster profiles: "High Subjective Wakefulness" (HSW), "Mild Insomnia" (MI) and "Insomnia-Related Distress" (IRD). The HSW symptom cluster profile (26.3% of the sample) reported high wake after sleep onset, high sleep onset latency, and low sleep efficiency. Despite relatively comparable PSG-derived total sleep time, they reported greater levels of daytime sleepiness. The MI symptom cluster profile (45.1%) reported the least disturbance in the sleep diary and questionnaires and had the highest sleep efficiency. The IRD symptom cluster profile (28.6%) reported the highest mean scores on the insomnia-related distress measures (eg, sleep effort and arousal) and waking correlates (fatigue). Covariates associated with symptom cluster membership were older age for the HSW profile, greater obstructive sleep apnea severity for the MI profile, and, when adjusting for obstructive sleep apnea severity, being overweight/obese for the IRD profile.

conclusionsThe heterogeneous nature of insomnia disorder is captured by this data-driven approach to identify symptom cluster profiles. The adaptation of a symptom cluster-based approach could guide tailored patient-centered management of patients presenting with insomnia, and enhance patient care.

Indexed as

Cluster AnalysisFemaleHumansMaleMiddle AgedPolysomnographySeverity of Illness IndexSleep Initiation and Maintenance DisordersSurveys and Questionnairesinsomnia disorderlatent profile analysissymptom clusterssymptom profile

Identifiers

PMID28633722
PMCPMC5482583
OpenAlexW2610242747

What OpenQuestion holds

Textmetadata
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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.