Evidence map›Paper›PMID 40735026›Full record

SynthesisInternational journal of public health2025

Sleep Traits to the Risk of Breast Cancer Disease Incidence, Adverse Progression and Mortality: Evidence From a Global Systematic Review and Meta-Analysis.

Jingya Zhang, Yongbo Lu, Ning Zhang, Wei Ning, Bin Zhu, Ying Mao

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in International journal of public health, 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

6 authors.

Jingya Zhang *School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Yongbo Lu *School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Ning ZhangVanke School of Public Health, Tsinghua University, Beijing, China.
Wei NingSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Bin ZhuSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China.
Ying MaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to identify the effect of sleep traits on the risk of breast cancer incidence and adverse progression and mortality. Methods: Cohort studies measuring the relationship between sleep traits (including sleep quality and sleep duration) and breast cancer risk were eligible for inclusion. We searched the Web of Science, PubMed, EMBASE and Cochrane library databases for studies published between 2014 and 2024. Maximum covariate-adjusted odds ratio (OR) was combined. A fixed or a randomized effect model was applied according to the heterogeneity. Results: 34 studies met the inclusion and exclusion criteria. Low quality sleep significantly increased the risk of incidence (OR:1.09, 95%CI:1.05-1.13), adverse progression (OR:1.55,95%CI:1.51-1.59), and specific mortality (OR:1.54, 95%CI:1.50-1.58) of breast cancer. Sleep duration >9 h had a poor effect on breast cancer-specific mortality (OR:1.45,95%CI:1.02-2.04). Conclusions: The available evidence points to sleep traits as primarily influencing progression in breast cancer patients and having a relatively small effect on breast cancer incidence. Prolonged sleep may lead to breast cancer-specific mortality, but more research is needed in the future to continue to explore the impact of sleep duration and breast cancer risk.

Indexed as

Breast NeoplasmsSleepSleep QualityDisease ProgressionFemaleHumansIncidenceRisk Factorsadverse progressionbreast cancerincidencemortalitysleep

Identifiers

PMID40735026
PMCPMC12303857

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.