Evidence map›Paper›PMID 36555905›Full record

ReviewJournal of clinical medicine2022

Sleep Characteristics and Cancer-Related Outcomes: An Umbrella Review of Systematic Reviews and Meta-Analyses of Observational Studies.

Xiaoying Li, Donghui Huang, Fanghua Liu, Xinyu Li, Jiale Lv, Qijun Wu, Yuhong Zhao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Observational
  9. Article
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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.

Xiaoying LiDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Donghui HuangDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Fanghua LiuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Xinyu LiDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Jiale LvDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Qijun WuDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.
Yuhong ZhaoDepartment of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang 110004, China.

Funding

345 Talent Project of Shengjing Hospital of China Medical University M0268; M0701JieBangGuaShuai Project of Liaoning Province 2021JH1/1040050LiaoNing Revitalization Talents Program XLYC1907102National Key R&D Program of China 2017YFC0907403Natural Science Foundation of China 82073647Outstanding Scientific Fund of Shengjing Hospital none
6 · The paper itself

Abstract

backgroundSleep is closely related to various diseases. Several meta-analyses have provided evidence of sleep and cancer, and yet the credibility of this evidence has not been comprehensively quantified. Thus, we conducted an umbrella review to quantify the evidence for systematic reviews and meta-analyses of observational studies on sleep characteristics (sleep duration, sleep quality, napping, bedtime, and wake-up time) and cancer-related outcomes.

methodsPubMed, Web of Science (Core Collection), and Embase databases were searched from inception until 29 July 2022. Assessment of Multiple Systematic Reviews, version 1, was used to evaluate the methodological quality of each eligible systematic review or meta-analysis. For each association, the summary effect with a 95% confidence interval was evaluated by fixed and random effects models. The 95% prediction interval, heterogeneity, small-study effects, and excess significance bias were also evaluated. Evidence of the associations from systematic reviews and meta-analyses was ranked based on the established criteria of published literature as convincing, highly suggestive, suggestive, weak, or non-significant.

resultsThe umbrella review identified thirty meta-analyses on the aforementioned associations from six articles. The methodological quality of five articles was high or moderate. Suggestive evidence was found for associations between long sleep duration and a 21% increased risk of colorectal cancer, a 9% increased all-cancer mortality and a 65% increased mortality of lung cancer, and associations between short sleep duration and a 21% increased mortality of lung cancer. Additionally, the evidence of associations between short sleep duration and lung cancer mortality was upgraded to convincing, and between long sleep duration and lung cancer mortality was upgraded to highly suggestive, among the population reporting 24 h sleep duration.

conclusionAbnormal sleep duration might be linked to several adverse cancer-related outcomes.

Indexed as

cancersleepsystematic review and meta-analysisumbrella review

Identifiers

PMID36555905
PMCPMC9785111

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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.