Evidence map›Paper›PMID 41923517›Full record

ArticleStatistics in medicine2026

Time-Varying Hormonal Treatment and Metastasis-Free Survival Among ER+ Breast Cancer Patients: A Natural History Modelling Approach.

Letizia Orsini, Alessandro Gasparini, Kamila Czene, Keith Humphreys

Abstract read
In one paragraph

Article in Statistics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Letizia OrsiniDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-6075-6668
Alessandro GaspariniDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8319-7624
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-0066-0677
Keith HumphreysDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-7458-8252

Funding

Cancerfonden 2023-2686Vetenskapsrådet 2023-02063
6 · The paper itself

Abstract

Breast cancer treatment depends on tumour subtypes. In particular, patients with oestrogen receptor-positive (ER+) tumours are treated with hormonal therapy. In Sweden, the recommended treatment duration is five years, with current guidelines advising an additional five years for women at high risk of disease recurrence. However, the impact of extended therapy on metastatic progression has not been thoroughly quantified at the population level. In this article, we use a modelling approach to estimate the time-varying effect of hormonal treatment on time to metastasis. The model is then used to compare 5- and 10-year treatment durations at different tumour sizes. Rather than using a common statistical modelling approach, we incorporate the effect of endocrine therapy within a biologically inspired natural history model of breast cancer to accommodate key features of the expected treatment-outcome relationship. We fitted the model using maximum likelihood and data from a cohort of 9,716 incident cases diagnosed with invasive ER+ breast cancer between 2005 and 2020. Based on our main model estimates, the 10-year metastasis-free survival would improve from 92.8% to 96.1% for a symptomatic patient with a 20 mm tumour with ten years (instead of five) of hormonal treatment. Our natural history model quantifies the impact of prolonged hormonal treatment on metastatic events in ER+ breast cancer patients, including features that are not captured by traditional statistical approaches. Results suggest a significant reduction in metastatic tumour growth rates during treatment, supporting the extension of endocrine therapy to 10 years for people with large tumours.

Indexed as

Antineoplastic Agents, HormonalBreast NeoplasmsModels, StatisticalReceptors, EstrogenTime FactorsAdultAgedDrug Administration ScheduleFemaleHumansLikelihood FunctionsMiddle AgedNeoplasm MetastasisProgression-Free SurvivalSwedenTreatment OutcomeAntineoplastic Agents, HormonalReceptors, Estrogenbreast cancer screeningbreast cancer survivalhormonal treatment effectmetastatic processnatural history modeltime‐varying treatment

Identifiers

PMID41923517
PMCPMC13044503

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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.