Evidence map›Paper›PMID 36635680›Full record

Trial reportBMC women's health2023

Obesity at age 20 and weight gain during adulthood increase risk of total and premature all-cause mortality: findings from women attending breast screening in Manchester.

Mary Pegington, Michelle Harvie, Elaine F Harkness, Adam Brentnall, Lee Malcomson, Jake Southworth, Jill Fox, Anthony Howell, Jack Cuzick, D Gareth Evans

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04359420 (What Are the Benefits and Harms of Risk Stratified Screening as Part of the NHS Breast Screening Programme), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04359420 nacompletednot on this map

What Are the Benefits and Harms of Risk Stratified Screening as Part of the NHS Breast Screening Programme: Study Protocol for a Multi-site Non-randomised Comparison of BC-Predict Versus Usual Screening

TypeinterventionalSponsorUniversity of ManchesterRan2019 to 2022Enrolled32,298ConditionsBreast CancerArmsBC-Predict, NHS Breast Screening Programme
3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Article
  3. Review
  4. 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

10 authors.

Mary PegingtonThe Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK. Mary.Pegington@manchester.ac.uk.
Michelle HarvieThe Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.
Elaine F HarknessThe Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.
Adam BrentnallCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Lee MalcomsonDivision of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Wilmslow Road, Manchester, M20 4BX, UK.
Jake SouthworthThe Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.
Jill FoxThe Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.
Anthony HowellThe Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.
Jack CuzickCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
D Gareth EvansThe Prevent Breast Cancer Research Unit, The Nightingale Centre, Manchester University NHS Foundation Trust, Manchester, M23 9LT, UK.

Funding

Manchester Biomedical Research Centre BRC1215-20007
6 · The paper itself

Abstract

backgroundObesity in early adulthood is associated with lower breast cancer rates in later life. This could be interpreted as a positive reinforcement of excess weight amongst younger women however, the wider implications of higher weights are less well known. This study examined the association between both obesity in early adulthood and body mass index (BMI) change through adulthood, and all-cause mortality.

methodsThe Predicting Risk of Cancer At Screening (PROCAS) study recruited 57,902 women aged 46-73 years (median age 57.2, IQR 51.8-63.7 years) from the Greater Manchester National Health Service breast screening programme in North West England between 2009 and 2015. It was used to assess associations between BMI at 20 years and cohort entry with all-cause mortality ascertained via deaths recorded on the National Breast Screening System to June 2020. Hazard ratios were estimated using proportional hazards (Cox) regression adjusted for factors at entry to the cohort: age, deprivation, bilateral oophorectomy, hormone-replacement therapy, menopausal status, ethnicity, alcohol intake, physical activity, and BMI.

resultsThe prevalence of overweight (25-30 kg/m

conclusionsWomen who self-reported overweight and obesity at 20 years had a shorter life expectancy in this cohort of women attending breast cancer screening. Weight gain from 20 years was common in this group. Girls and women should be supported to maintain a healthy weight throughout the lifespan to help increase life expectancy. Trial registration number NCT04359420, retrospectively registered 24/04/2020.

Indexed as

Breast NeoplasmsOverweightAgedBody Mass IndexFemaleHumansMiddle AgedObesityProportional Hazards ModelsRisk FactorsState MedicineThinnessWeight GainBreast screeningMortalityObesityPremature mortalityWeightWomen

Identifiers

PMID36635680
PMCPMC9837983

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Registered trials

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.