Evidence map›Paper›PMID 40599250›Full record

ArticleAsia-Pacific journal of oncology nursing2025

Development and validation of a clinical sleep assessment tool for patients with cancer during treatment.

Mats Nilsson, Delmy Oliva, Bengt-Åke Andersson, Freddi Lewin, Lasse D Jensen

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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.

Mats NilssonFuturum, Academy of Health and Care, Region Jönköping County, Jönköping, Sweden.
Delmy OlivaDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Bengt-Åke AnderssonDepartment of Clinical Diagnostics, School of Health and Welfare, Jönköping University, Jönköping, Sweden.
Freddi LewinDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Lasse D JensenDepartment of Medicine, Health and Caring Science, Division of Diagnostics and Specialist Medicine, Unit of Cardiovascular Medicine, Linköping University, Linköping, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Sleep disruption is common among patients with cancer, negatively impacting treatment outcomes, survival, and quality of life. However, it is often overlooked in cancer care. This study aimed to explore shared characteristics of sleep disruption in patients with cancer to facilitate simple and accurate identification in routine clinical practice. A secondary aim was to identify potential biomarkers in urine, serum, or leukocytes associated with sleep disruption before and/or after oncological therapy. Methods: Ninety cancer patients scheduled for either adjuvant or palliative oncological therapy at Ryhov County Hospital, Jönköping, Sweden, were consecutively enrolled. Of these, 72 completed all questionnaires and provided urine and blood samples at both baseline and three-month follow-up. Data were collected using the 12-item Medical Outcomes Study Sleep Scale (MOS-SS) and the 30-item European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Biomarker analysis was conducted on urine and blood samples, and data were analyzed using ordinal factor and Rasch modeling. Results: Two distinct factors-Sleep Quality (SQ) and Daytime Sleepiness (DTS)-emerged from the MOS-SS, effectively capturing key aspects of sleep disruption. Both SQ and DTS were strongly associated with sleep-related impairments identified via the EORTC QLQ-C30 and clinical history, but showed no correlation with urinary melatonin or cortisol, serum inflammatory cytokines, or Bmal1 and Per2 gene expression in blood leukocytes. Neither SQ nor DTS was significantly influenced by patient age, body mass index (BMI), or oncological therapy. However, women reported significantly lower DTS compared to men ( Conclusions: This study identifies SQ and DTS as robust measures of sleep quality and daytime sleepiness in cancer patients. These new factors derived from the MOS-SS can support the early detection and management of sleep disruption in routine oncological care.

Indexed as

CancerChemotherapyCircadian rhythmSleepSleep disruption

Identifiers

PMID40599250
PMCPMC12212176

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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.