Evidence map›Paper›PMID 31360860›Full record

ArticleJNCI cancer spectrum2018

The Future Colorectal Cancer Burden Attributable to Modifiable Behaviors: A Pooled Cohort Study.

Claire M Vajdic, Robert J MacInnis, Karen Canfell, Peter Hull, Maria E Arriaga, Vasant Hirani, Robert G Cumming, Paul Mitchell, Julie E Byles, Graham G Giles and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JNCI cancer spectrum, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Prospective evaluation of dietary and lifestyle pattern indices with risk of colorectal cancer in a cohort of younger women.Annals of oncology : official journal of the European Society for Medical Oncology · 2021
    Article
  10. 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

18 authors.

Claire M VajdicCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
Robert J MacInnisCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
Karen CanfellPrince of Wales Clinical School, University of New South Wales, Sydney, Australia.
Peter HullCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
Maria E ArriagaCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia.
Vasant HiraniSchool of Public Health, University of Sydney, Sydney, Australia.
Robert G CummingSchool of Public Health, University of Sydney, Sydney, Australia.
Paul MitchellCentre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, Australia.
Julie E BylesResearch Centre for Gender, Health and Ageing, University of Newcastle, Newcastle, Australia.
Graham G GilesCancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia.
Emily BanksANU College of Medicine, Biology and Environment, Australian National University, Canberra, Australia.
Anne W TaylorAdelaide Medical School, University of Adelaide, Adelaide, Australia.
Jonathan E ShawClinical Diabetes Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Dianna J MaglianoDiabetes and Population Health Laboratory, Baker Heart and Diabetes Institute, Melbourne, Australia.
Julie MarkerCancer Voices South Australia, Adelaide, Australia.
Barbara-Ann AdelsteinPrince of Wales Clinical School, University of New South Wales, Sydney, Australia.
Tiffany K GillAdelaide Medical School, University of Adelaide, Adelaide, Australia.
Maarit A LaaksonenCentre for Big Data Research in Health, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious estimates of the colorectal cancer (CRC) burden attributed to behaviors have not considered joint effects, competing risk, or population subgroup differences.

methodsWe pooled data from seven prospective Australian cohort studies (n = 367 058) and linked them to national registries to identify CRCs and deaths. We estimated the strength of the associations between behaviors and CRC risk using a parametric piecewise constant hazards model, adjusting for age, sex, study, and other behaviors. Exposure prevalence was estimated from contemporary National Health Surveys. We calculated population attributable fractions for CRC preventable by changes to current behaviors, accounting for competing risk of death and risk factor interdependence. Statistical tests were two-sided.

resultsDuring the first 10 years of follow-up, there were 3471 incident CRCs. Overweight or obesity explained 11.1%, ever smoking explained 10.7% (current smoking 3.9%), and drinking more than two compared with two or fewer alcoholic drinks per day explained 5.8% of the CRC burden. Jointly, these factors were responsible for 24.9% (95% confidence interval [CI] = 19.7% to 29.9%) of the burden, higher for men (36.7%) than women (13.2%,

conclusionsWe produced up-to-date estimates of the future CRC burden attributed to modifiable behaviors. We revealed novel differences between men and women, and other high-CRC burden subgroups that could potentially benefit most from programs that support behavioral change and early detection.

Identifiers

PMID31360860
PMCPMC6649699

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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.