Evidence map›Paper›PMID 40866942›Full record

ArticleBreast cancer research : BCR2025

Longitudinal changes in metabolism-related metrics and breast cancer risk: a general population study.

Fan Zhang, Geertruida H de Bock, Gijs W Landman, Qingying Zhang, Bert van der Vegt, Grigory Sidorenkov

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

6 authors.

Fan ZhangDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Geertruida H de BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Gijs W LandmanDepartment of Internal Medicine, Gelre Hospital, Apeldoorn, The Netherlands.
Qingying ZhangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, China.
Bert van der VegtDepartment of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Grigory SidorenkovDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. g.sidorenkov@umcg.nl.

Funding

the Special Fund for Science and Technology of Guangdong Province in 2020 200110115891683
6 · The paper itself

Abstract

backgroundMetabolism-related metrics have been widely investigated for their relationship with breast cancer risk but are mostly based on single values. Weight gain during adulthood has been related to an increased risk of breast cancer, while the relationship with changes in glucose and lipids remain largely unknown.

methodsWomen aged 20-80 were included from the general population-based Lifelines cohort when they had two assessments: 2007-2013 and 2014-2017. The following metrics were measured once at each of the two periods: body mass index (BMI), waist to height ratio (WHtR), hemoglobin A1c (HbA1c), HDL cholesterol (HDL-C), total cholesterol (TC), and triglyceride (TG). Women with a history of cancer, follow up less than 12 months, or who were pregnant during assessments were excluded. Mean annual changes (mean ACs) were calculated for each metric between the two periods, and further categorized into three groups - decrease, no change, and increase. Cox proportional hazards models were conducted to estimate their associations with breast cancer occurrence, reporting adjusted hazard ratios (aHR) with 95% confidence intervals (CI).

resultsDuring a median of 92.3 months follow-up, 1,202 of 58,785 women were diagnosed with breast cancer. Among women with a baseline BMI < 25 kg/m

conclusionsChanges over time in this real-world dataset from the general population highlight the benefits of weight loss and the harms of decreased glucose and TG in relation to breast cancer risk. These longitudinal patterns are affected by age, BMI, and initial values, emphasizing the importance of personalized metabolic health management.

Indexed as

Breast NeoplasmsAdultAgedAged, 80 and overBlood GlucoseBody Mass IndexCholesterol, HDLFemaleFollow-Up StudiesGlycated HemoglobinHumansLongitudinal StudiesMiddle AgedRisk FactorsTriglyceridesWaist-Height RatioBlood GlucoseCholesterol, HDLGlycated Hemoglobinhemoglobin A1c protein, humanTriglyceridesBMIBreast cancer riskHbA1cLongitudinal changesTriglyceride

Identifiers

PMID40866942
PMCPMC12382006

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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.