Evidence map›Paper›PMID 34670802›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022

Linking Physical Activity to Breast Cancer: Text Mining Results and a Protocol for Systematically Reviewing Three Potential Mechanistic Pathways.

Brigid M Lynch, Roger L Milne, Dallas R English, Kristy A Brown, Ann E Drummond, Christopher T V Swain, Eline H van Roekel, Melissa M Moore, Tom R Gaunt, Richard M Martin and 1 more

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Linking Physical Activity to Breast Cancer Risk via the Insulin/Insulin-like Growth Factor Signaling System, Part 2: The Effect of Insulin/Insulin-like Growth Factor Signaling on Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
  2. Linking Physical Activity to Breast Cancer via Sex Steroid Hormones, Part 2: The Effect of Sex Steroid Hormones on Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Pooled it
  3. A Co-clinical Trial of Exercise Therapy in Breast Cancer Prevention.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Trial
  4. Article
  5. Review
  6. International Pooled Analysis of Leisure-Time Physical Activity and Premenopausal Breast Cancer in Women From 19 Cohorts.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  7. Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Observational
  8. Linking Physical Activity to Breast Cancer via Inflammation, Part 2: The Effect of Inflammation on Breast Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  9. Review
  10. Linking Physical Activity to Breast Cancer via Sex Hormones, Part 1: The Effect of Physical Activity on Sex Steroid Hormones.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Review
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

11 authors at 6 institutions in 4 countries.

Brigid M LynchCancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia. brigid.lynch@cancervic.org.au.ORCID 0000-0001-8060-547X
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia.ORCID 0000-0001-5764-7268
Dallas R EnglishCancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia.ORCID 0000-0001-7828-8188
Kristy A BrownDepartment of Medicine, Weill Cornell Medicine, New York, New York.ORCID 0000-0003-3382-5546
Ann E DrummondCancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia.
Christopher T V SwainCancer Epidemiology Division, Cancer Council Victoria, Victoria, Australia.ORCID 0000-0002-0158-2511
Eline H van RoekelDepartment of Epidemiology, GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, the Netherlands.
Melissa M MooreMedical Oncology, St Vincent's Hospital, Melbourne, Victoria, Australia.ORCID 0000-0002-3869-1949
Tom R GauntBristol Medical School, University of Bristol, Bristol, United Kingdom.
Richard M MartinBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0002-7992-7719
Sarah J LewisBristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID 0000-0003-4311-6890
Cancer Council Victoria · AUUniversity of Bristol · GBUniversity of Melbourne · AUMaastricht University · NLSt Vincent's Hospital · AUWeill Cornell Medicine · US

Funding

Obesity Increases Breast Cancer Penetrance in BRCA Mutation Carriers: A Role for Local and Systemic FactorsR01CA215797 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI BROWN, KRISTY A. · 2017 to 2021
$2.6M
Cancer Research UK 29019Medical Research Council MC_UU_00011/4NCI NIH HHS R01 CA215797
6 · The paper itself

Abstract

Epidemiologic research suggests that physical activity is associated with a reduced risk of breast cancer, but the causal nature of this link is not clear. Investigating mechanistic pathways can provide evidence of biological plausibility and improve causal inference. This project will examine three putative pathways (sex steroid hormones, insulin signaling, and inflammation) in a series of two-stage systematic reviews. Stage 1 used Text Mining for Mechanism Prioritisation (TeMMPo) to identify and prioritize relevant biological intermediates. Stage 2 will systematically review the findings from studies of (i) physical activity and intermediates and (ii) intermediates and breast cancer. Ovid MEDLINE, EMBASE, and SPORTDiscus will be searched using a combination of subject headings and free-text terms. Human intervention and prospective, observational studies will be eligible for inclusion. Meta-analysis will be performed where possible. Risk of bias will be assessed using the Cochrane Collaboration tool, or the ROBINS-I or ROBINS-E tool, depending on study type. Strength of evidence will be assessed using the GRADE system. In addition to synthesizing the mechanistic evidence that links physical activity with breast cancer risk, this project may also identify priority areas for future research and help inform the design and implementation of physical activity interventions.

Indexed as

Breast NeoplasmsExerciseCausalityData MiningFemaleGonadal Steroid HormonesHumansInflammationInsulinResearch DesignSystematic Reviews as TopicGonadal Steroid HormonesInsulin

Identifiers

PMID34670802
PMCPMC8755571
OpenAlexW3206862216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.