Evidence map›Paper›PMID 42135375›Full record

Trial reportScientific reports2026

Correlation of the Thai Richards-Campbell Sleep Questionnaire and actigraphy with polysomnography for sleep assessment in ICU patients.

Annop Piriyapatsom, Jiratchaya Boondeekul, Jirapas Porkaew, Wattanachai Chotinaiwattarakul, Onuma Chaiwat

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04417556 (Validation of Sleep Assessment Tools in the Surgical Intensive Care Unit), which is not on this map. Cited by 1 paper.

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

NCT04417556 nacompletednot on this map

Validation of Sleep Assessment Tools in the Surgical Intensive Care Unit: Comparison of Thai Version of Richards-Campbell Sleep Questionnaire, Actigraphy, and Polysomnography

TypeinterventionalSponsorMahidol UniversityRan2020 to 2021Enrolled55ConditionsSleep, Sleep Disturbance, Sleep Deprivation, PolysomnographyArmsSleep measurement
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Annop PiriyapatsomDepartment of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. annop.pir@mahidol.edu.
Jiratchaya BoondeekulDepartment of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Jirapas PorkaewDivision of Critical Care, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Wattanachai ChotinaiwattarakulDivision of Neurology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Onuma ChaiwatDepartment of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polysomnography (PSG) is considered as the gold-standard tool for sleep measurement. Other simpler instruments such as actigraphy and the Richards-Campbell Sleep Questionnaire (RCSQ), have been used as alternatives. The aim of the study was to evaluate correlations of parameters derived from PSG, actigraphy and the Thai version of the RCSQ (T-RCSQ) among patients in a surgical intensive care unit (SICU). This single-center study was conducted in a tertiary-care, university-based hospital. Adult patients admitted to the SICU for at least 1 night were enrolled. Actigraphy and PSG were recorded from 8 PM to 6 AM, and patients and bedside nurses independently completed the T-RCSQ the following morning. Pearson correlation coefficient was used to determine the relationships of sleep efficiency assessed by PSG and by actigraphy, nurse- reported and patient-reported T-RCSQ. Fifty-five patients were enrolled in the study. Their mean age was 64.8 ± 16.3 years, 28 (51%) were men, and 16 (29%) received invasive mechanical ventilation. The correlations of sleep efficiency assessed by PSG and by actigraphy, the nurse-reported and the patient-reported T-RCSQ were 0.173 (95% CI -0.110 to 0.431), 0.334 (95% CI 0.075 to 0.550), and 0.274 (95% CI 0.009 to 0.503). The patient-reported RCSQ and the nurse-reported T-RCSQ showed moderate to high correlations across all 5 items and for derived sleep efficiency. These results support the feasibility of T-RCSQ for bedside screening and trend monitoring, but they do not support substituting actigraphy or T-RCSQ for PSG when precise physiologic quantification is required.Trial registration: Registered with ClinicalTrials.gov (NCT04417556 registration date 03/06/2020).

Indexed as

ActigraphyPolysomnographySleepAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedSleep DurationSurveys and QuestionnairesThailandActigraphyICU patientsPolysomnographyRichards–campbell sleep questionnaireSleep assessment

Identifiers

PMID42135375
PMCPMC13369853

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Registered trials

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.