Evidence map›Paper›PMID 33504831›Full record

ArticleScientific reports2021

Large-scale systematic analysis of exposure to multiple cancer risk factors and the associations between exposure patterns and cancer incidence.

Julia Steinberg, Sarsha Yap, David Goldsbury, Visalini Nair-Shalliker, Emily Banks, Karen Canfell, Dianne L O'Connell

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Cohort Profile Update: The 45 and Up Study.International journal of epidemiology · 2023
    Article
  5. 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.

Julia SteinbergCancer Research Division, Cancer Council NSW, Sydney, NSW, Australia. Julia.steinberg@nswcc.org.au.
Sarsha YapCancer Research Division, Cancer Council NSW, Sydney, NSW, Australia.
David GoldsburyCancer Research Division, Cancer Council NSW, Sydney, NSW, Australia.
Visalini Nair-ShallikerCancer Research Division, Cancer Council NSW, Sydney, NSW, Australia.
Emily BanksNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Karen CanfellCancer Research Division, Cancer Council NSW, Sydney, NSW, Australia.
Dianne L O'ConnellCancer Research Division, Cancer Council NSW, Sydney, NSW, Australia.

Funding

National Health and Medical Research Council CDF #1082989National Health and Medical Research Council PRF #1136128
6 · The paper itself

Abstract

Exposures to cancer risk factors such as smoking and alcohol are not mutually independent. We aimed to identify risk factor exposure patterns and their associations with sociodemographic characteristics and cancer incidence. We considered 120,771 female and, separately, 100,891 male participants of the Australian prospective cohort 45 and Up Study. Factor analysis grouped 36 self-reported variables into 8 combined factors each for females (largely representing 'smoking', 'alcohol', 'vigorous exercise', 'age at childbirth', 'Menopausal Hormone Therapy', 'parity and breastfeeding', 'standing/sitting', 'fruit and vegetables') and males (largely representing 'smoking', 'alcohol', 'vigorous exercise', 'urology and health', 'moderate exercise', 'standing/sitting', 'fruit and vegetables', 'meat and BMI'). Associations with cancer incidence were investigated using multivariable logistic regression (4-8 years follow-up: 6193 females, 8749 males diagnosed with cancer). After multiple-testing correction, we identified 10 associations between combined factors and cancer incidence for females and 6 for males, of which 14 represent well-known relationships (e.g. bowel cancer: females 'smoking' factor Odds Ratio (OR) 1.16 (95% Confidence Interval (CI) 1.08-1.25), males 'smoking' factor OR 1.15 (95% CI 1.07-1.23)), providing evidence for the validity of this approach. The catalogue of associations between exposure patterns, sociodemographic characteristics, and cancer incidence can help inform design of future studies and targeted prevention programmes.

Indexed as

Confidence IntervalsFemaleHumansIncidenceLongitudinal StudiesMaleNeoplasmsProspective StudiesRisk FactorsSocioeconomic Factors

Identifiers

PMID33504831
PMCPMC7841154

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.