Evidence map›Paper›PMID 37770794›Full record

SynthesisSleep & breathing = Schlaf & Atmung2024

The association between sleep duration and lung cancer: a meta-analysis.

Fang Wang, Junjun Yang, Siqi Hu, Jiarong Bian, Xingxiang Xu

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Sleep & breathing = Schlaf & Atmung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fang Wang *Department of Respiration and Critical Care Medicine, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Junjun Yang *Department of Respiration and Critical Care Medicine, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Siqi HuDepartment of Respiration and Critical Care Medicine, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Jiarong BianDepartment of Respiration and Critical Care Medicine, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, 225001, Jiangsu, China.
Xingxiang XuDepartment of Respiration and Critical Care Medicine, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, 225001, Jiangsu, China. xuxx63@sina.com.

Funding

The National Natural Science Foundation of China grant number 81800049
6 · The paper itself

Abstract

purposeThe link between sleep duration and lung cancer risk has been suggested by some epidemiological studies. This meta-analysis was performed to further understand this relationship.

methodsMEDLINE and EMBASE entries up to December 2022 were searched for eligible publications. A random effects model was used to calculate pooled relative risks (RRs) with 95% confidence intervals (95% CIs). Publication bias was estimated using Begg's and Egger's regression asymmetry test.

resultsThe meta-analysis included 11 studies (including 10 cohort studies and 1 case-control study). The pooled adjusted RRs were 1.13 (95% CI: 1.03-1.24) for short sleep duration and 1.21 (95% CI: 1.07-1.37) for long sleep duration.

conclusionThe findings of this meta-analysis suggested that both short and long sleep duration are associated with an increase in lung cancer risk. These findings need to be corroborated through large-scale prospective studies.

Indexed as

Lung NeoplasmsCase-Control StudiesHumansProspective StudiesRiskSleep DurationLung cancerMeta-analysisRiskSleep duration

Identifiers

PMID37770794

What OpenQuestion holds

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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.