Evidence map›Paper›PMID 21355031›Full record

ReviewOccupational medicine (Oxford, England)2011

Shift work and chronic disease: the epidemiological evidence.

X-S Wang, M E G Armstrong, B J Cairns, T J Key, R C Travis

Open access · hybridAbstract readReview
In one paragraph

Review in Occupational medicine (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 249 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
249citing papers in PubMed, 9 pooled it
47.8field-weighted citation impact, top 1% 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

249 citing papers in PubMed, 9 syntheses or guidelines pooled it, 627 citations in OpenAlex.

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  13. Shift work and quality of sleep: effect of working in designed dynamic light.International archives of occupational and environmental health · 2016
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  15. Article
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189 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

X-S WangCancer Epidemiology Unit, University of Oxford, Oxford, UK. xiaosi.wang@ceu.ox.ac.uk
M E G Armstrong
B J Cairns
T J Key
R C Travis
University of Oxford · GB

Funding

Cancer Research UKMedical Research Council
6 · The paper itself

Abstract

backgroundShift work, including night work, has been hypothesized to increase the risk of chronic diseases, including cancer, cardiovascular disease (CVD), metabolic syndrome and diabetes. Recent reviews of evidence relating to these hypotheses have focussed on specific diseases or potential mechanisms, but no general summary of the current data on shift work and chronic disease has been published.

methodsSystematic and critical reviews and recent original studies indexed in PubMed prior to 31 December 2009 were retrieved, aided by manual searches of reference lists. The main conclusions from reviews and principle results from recent studies are presented in text and tables.

resultsPublished evidence is suggestive but not conclusive for an adverse association between night work and breast cancer but limited and inconsistent for cancers at other sites and all cancers combined. Findings on shift work, in relation to risks of CVD, metabolic syndrome and diabetes are also suggestive but not conclusive for an adverse relationship.

conclusionsHeterogeneity of study exposures and outcomes and emphasis on positive but non-significant results make it difficult to draw general conclusions. Further data are needed for additional disease endpoints and study populations.

Indexed as

Work Schedule ToleranceAdultBreast NeoplasmsCardiovascular DiseasesChronic DiseaseCircadian RhythmColorectal NeoplasmsDiabetes MellitusFemaleHumansMaleMeta-Analysis as TopicMetabolic SyndromeMiddle AgedNeoplasmsOccupational Diseases

Identifiers

PMID21355031
PMCPMC3045028
OpenAlexW2105829321

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.