Evidence map›Paper›PMID 40930750›Full record

ArticleBMJ health & care informatics2025

Wearable device-measured circadian rest-activity rhythm with mortality risk in patients with cancer.

Xionge Mei, Nana Zheng, Biao Li, Yue Liu, Lulu Yang, Tong Luo, Ngan Yin Chan, Joey Wy Chan, Yaping Liu, Xiao Tan and 4 more

Abstract read
In one paragraph

Article in BMJ health & care informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Circadian rhythms and lung cancer biology and immunotherapy: Emerging opportunities and challenges.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
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

14 authors.

Xionge MeiCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Nana ZhengCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Biao LiCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Yue LiuCentre for Preventive Neurology, Wolfson Institute of Population Health, Queen Mary University of London, London, UK.
Lulu YangGuangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Tong LuoCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Ngan Yin ChanDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.
Joey Wy ChanDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-2692-2666
Yaping LiuCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.
Xiao TanDepartment of Big Data in Health Science, Zhejiang University School of Public Health and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Christian BenedictMolecular Neuropharmacology, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala University, Uppsala, Sweden.
Yun Kwok WingDepartment of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-5745-5474
Jihui ZhangCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0002-4976-3039
Hongliang FengCenter for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China hlfeng@gzhmu.edu.cn.ORCID http://orcid.org/0000-0003-3291-7780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objectives were to examine the associations between accelerometer-measured circadian rest-activity rhythm (CRAR), the most prominent circadian rhythm in humans and the risk of mortality from all-cause, cancer and cardiovascular disease (CVD) in patients with cancer.

methods7456 cancer participants from the UK Biobank were included. All participants wore accelerometers from 2013 to 2015 and were followed up until 24 January 2024, with a median follow-up of 9.00 years. The multidimensional parameters of the CRAR were calculated using the 7-day accelerometer data collected under free-living conditions. Cox proportional hazard models were used to evaluate the associations between CRAR and all-cause, cancer and CVD mortality.

resultsAmong 7456 cancer patients (mean age: 65.7±6.87 years; 58.85% women) aged 44-79 years, 934 (12.5%) deaths occurred over 9.00 years (64 525 person-years). CRAR disruptions, including low amplitude, low mesor and high fragmentation, were significantly associated with an increased risk of all-cause mortality (adjusted HR range, 1.30-2.00), cancer (adjusted HR range, 1.46-1.83) and CVD mortality (adjusted HR range, 1.73-2.66) in patients with cancer. DISCUSSION: These associations were robust across various cancer types. In addition, CRAR disruptions, particularly low amplitude, exceeded multiple traditional risk factors such as poor sleep, smoking, alcohol consumption, obesity and unhealthy diet in predicting mortality.

conclusionCRAR parameters may serve as novel and robust predictors of mortality in patients with cancer.

Indexed as

AccelerometryCardiovascular DiseasesCircadian RhythmNeoplasmsRestWearable Electronic DevicesAdultAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk FactorsUnited KingdomData Interpretation, StatisticalHealth Information ManagementHome Care ServicesOutcome and Process Assessment, Health CarePatient Outcome Assessment

Identifiers

PMID40930750
PMCPMC12421596

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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.