Evidence map›Paper›PMID 32886784›Full record

SynthesisSleep2021

Sleep duration and breast cancer incidence: results from the Million Women Study and meta-analysis of published prospective studies.

Angel T Y Wong, Alicia K Heath, Tammy Y N Tong, Gillian K Reeves, Sarah Floud, Valerie Beral, Ruth C Travis

Open access · hybridAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 5 pooled it
4.5field-weighted citation impact, top 5% of its field
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

23 citing papers in PubMed, 5 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

7 authors at 2 institutions in 1 country.

Angel T Y WongCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Alicia K HeathSchool of Public Health, Faculty of Medicine, Imperial College London, London, UK.
Tammy Y N TongCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Gillian K ReevesCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Sarah FloudCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Valerie BeralCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Ruth C TravisCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
University of Oxford · GBImperial College London · GB

Funding

Cancer Research UK 16491Cancer Research UK 29017Cancer Research UK 29186Cancer Research UK C8221/A19170Cancer Research UK C8821/A29017Medical Research Council G0700474Medical Research Council G9900923Medical Research Council MR/K02700X/1Medical Research Council MR/M012190/1
6 · The paper itself

Abstract

STUDY

objectivesTo investigate the association between sleep duration and breast cancer incidence, we examined the association in a large UK prospective study and conducted a meta-analysis of prospective studies.

methodsIn the Million Women Study, usual sleep duration over a 24-h period was collected in 2001 for 713,150 participants without prior cancer, heart problems, stroke, or diabetes (mean age = 60 years). Follow-up for breast cancer was by record linkage to national cancer registry data for 14.3 years on average from the 3-year resurvey. Cox regression models yielded multivariable-adjusted breast cancer relative risks (RR) and 95% confidence intervals (CIs) for sleep duration categories. Published prospective studies of sleep duration and breast cancer risk were included in a meta-analysis, which estimated the inverse-variance weighted average of study-specific log RRs for short and for long versus average duration sleep.

resultsAfter excluding the first 5 years to minimize reverse causation bias in the Million Women Study, 24,476 women developed breast cancer. Compared with 7-8 h of sleep, the RRs for <6, 6, 9, and >9 h of sleep were 1.01 (95% CI, 0.95-1.07), 0.99 (0.96-1.03), 1.01 (0.96-1.06), and 1.03 (0.95-1.12), respectively. In a meta-analysis of 14 prospective studies plus the Million Women Study, including 65,410 breast cancer cases, neither short (RR < 7 h = 0.99 [0.98-1.01]) nor long (RR > 8 h = 1.01 [0.98-1.04]) versus average duration sleep was associated with breast cancer risk.

conclusionsThe totality of the prospective evidence does not support an association between sleep duration and breast cancer risk.

Indexed as

Breast NeoplasmsFemaleHumansIncidenceMiddle AgedProspective StudiesRiskRisk FactorsSleepbreast cancermeta-analysisprospectivesleep duration

Identifiers

PMID32886784
PMCPMC7879408
OpenAlexW2996180349

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.