Evidence map›Paper›PMID 26437735›Full record

ArticleAustralian and New Zealand journal of public health2015

Cancers in Australia in 2010 attributable to modifiable factors: summary and conclusions.

David C Whiteman, Penelope M Webb, Adele C Green, Rachel E Neale, Lin Fritschi, Christopher J Bain, D Max Parkin, Louise F Wilson, Catherine M Olsen, Christina M Nagle and 9 more

Abstract read
In one paragraph

Article in Australian and New Zealand journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 3 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

64 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Social, Behavioral, and Clinical Risk Factors Are Associated with Clonal Hematopoiesis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  16. Article
  17. Article
  18. Estimating cancers attributable to physical inactivity in Australia.Journal of science and medicine in sport · 2024
    Article
  19. Review
  20. Article

4 more citing papers are in PubMed but not listed here.

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

19 authors.

David C WhitemanQIMR Berghofer Medical Research Institute, Queensland.
Penelope M WebbQIMR Berghofer Medical Research Institute, Queensland.
Adele C GreenQIMR Berghofer Medical Research Institute, Queensland.
Rachel E NealeQIMR Berghofer Medical Research Institute, Queensland.
Lin FritschiSchool of Public Health, Curtin University, Western Australia.
Christopher J BainQIMR Berghofer Medical Research Institute, Queensland.
D Max ParkinCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, United Kingdom.
Louise F WilsonQIMR Berghofer Medical Research Institute, Queensland.
Catherine M OlsenQIMR Berghofer Medical Research Institute, Queensland.
Christina M NagleQIMR Berghofer Medical Research Institute, Queensland.
Nirmala PandeyaQIMR Berghofer Medical Research Institute, Queensland.
Susan J JordanQIMR Berghofer Medical Research Institute, Queensland.
Annika AntonssonQIMR Berghofer Medical Research Institute, Queensland.
Bradley J KendallQIMR Berghofer Medical Research Institute, Queensland.
Maria Celia B HughesQIMR Berghofer Medical Research Institute, Queensland.
Torukiri I IbiebeleQIMR Berghofer Medical Research Institute, Queensland.
Kyoko MiuraQIMR Berghofer Medical Research Institute, Queensland.
Susan PetersOccupational Respiratory Epidemiology, School of Population Health, The University of Western Australia.
Renee N CareySchool of Public Health, Curtin University, Western Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the numbers and proportions of cancers occurring in Australia in 2010 attributable to modifiable causal factors.

methodsWe estimated the population attributable fraction (PAF) of cancers associated with exposure to 13 causal factors using standard formulae incorporating exposure prevalence and relative risk data. We also calculated the potential impact of changing exposure to some factors.

resultsA total of 32% of all cancers diagnosed in Australia in 2010 (excluding keratinocyte cancers) were attributable to the 13 factors assessed (men 33%; women 31%). Leading factors were tobacco smoke (PAF all cancers: 13.4%), solar radiation (6.2%), inadequate diet (6.1%) and overweight/obesity (3.4%). Factors conferring highest PAFs differed by sex: highest PAFs for men were tobacco smoke (15.8%), solar radiation (7.1%) and alcohol (3.0%); while highest PAFs for women were tobacco smoke (10.1%), solar radiation (5.0%) and overweight/obesity (4.5%). Sites with the highest counts of potentially preventable cancers were lung (8,569), colorectal (7,404), melanoma of the skin (7,220) and breast (3,233).

conclusionsAt least one in three cancers in Australia is attributable to exposure to known modifiable factors. IMPLICATIONS: Up to 37,000 cancers could be prevented in Australia each year if the population avoided exposure to 13 common factors known or strongly suspected to cause cancer.

Indexed as

Health BehaviorLife StyleAdolescentAdultAgedAged, 80 and overAustraliaChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedNeoplasmscancerpopulation attributable fractionpotential impact fractionprevented fractionrisk factor

Identifiers

PMID26437735
PMCPMC4606779

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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.