Evidence map›Paper›PMID 41676860›Full record

ArticleInternational journal of cancer2026

Age-specific breast cancer incidence by subtype, TNM stage and screening status in Sweden 2008-2019 estimated with multiple imputation.

Leo Gkekos, Katrín Ásta Gunnarsdóttir, Keith Humphreys, Irma Fredriksson, Anna L V Johansson

Abstract read
In one paragraph

Article in International journal of cancer, 2026. 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

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

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

5 authors.

Leo GkekosDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0009-0008-3063-9960
Katrín Ásta GunnarsdóttirDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Keith HumphreysDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Irma FredrikssonDepartment of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
Anna L V JohanssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1191-7231

Funding

Cancerfonden 22 2044 PjCancerfonden 24 0790 SIAErik och Majje Näsström donationVetenskapsrådet 2021-01657Vetenskapsrådet 2023-02063
6 · The paper itself

Abstract

Breast cancer incidence in women increases with age, but less is known about which subtypes contribute the most at different ages. We describe age-specific breast cancer incidence rates in Sweden by subtype, TNM stage and screening status. Population-based data were retrieved from the Swedish National Quality Register for Breast Cancer on 89,322 invasive breast cancer cases diagnosed 2008-2019 in women ≥18 years. Breast cancer subtypes were defined by estrogen and progesterone receptors, human epidermal growth factor receptor 2 (HER2), and grade. Poisson regression with multiple imputation estimated proportions and incidence rates. In women <40 years, the breast cancer incidence rates were low with luminal HER2, HER2 positive and triple-negative breast cancer (TNBC) accounting for 57% of tumors. During screening ages (40-74 years), luminal A-like tumors accounted for 59% and their incidence rate increased by age. Luminal A-like tumors were more often screen-detected (70%) compared to HER2 positive (45%) and TNBC (42%). At age 75 years, the incidence rates declined temporarily for all subtypes, and remained mostly stable in older ages, although the luminal A-like rates did not reach the same levels as 40-74 years. In the screening ages, stage I incidence rates were increased, especially for the luminal A-like subtype, while in post-screening ages (≥75 years), stage II incidence rates were highest, especially for luminal B-like, luminal HER2 and TNBC subtypes. Age-specific incidence patterns vary by subtype and are all influenced by screening. Future diagnostic and preventive interventions should consider these age-specific patterns.

Indexed as

Breast NeoplasmsAdultAgedAge FactorsEarly Detection of CancerErb-b2 Receptor Tyrosine KinasesFemaleHumansIncidenceMiddle AgedNeoplasm StagingReceptors, EstrogenReceptors, ProgesteroneRegistriesSwedenTriple Negative Breast NeoplasmsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesteronebreast cancerincidencescreeningstagingsubtypes

Identifiers

PMID41676860
PMCPMC13140068

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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.