Evidence map›Paper›PMID 37310740›Full record

ArticleJAMA network open2023

Analysis of Breast Cancer Family History, Estrogen Receptor Status, and Breast Cancer Outcomes in Sweden.

Yuqi Zhang, Qiao-Li Wang, Erwei Zeng, Wei He, Kamila Czene

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  5. Neuronal plasma biomarkers in acute ischemic stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
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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 at 2 institutions in 3 countries.

Yuqi ZhangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Qiao-Li WangDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Erwei ZengDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Wei HeDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Kamila CzeneDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Karolinska Institutet · SEDana-Farber Cancer Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Breast cancer (BC), the most prevalent cancer among women globally, is a heterogeneous disease, with prognosis differing by estrogen receptor (ER) status. Having a family history of BC increases the risk of BC; however, it is unclear whether family history is associated with the prognosis of overall and ER-specific BC. Objective: To assess whether a family history of BC is associated with the prognosis of overall and ER-specific BC. Design, Setting, and Participants: This cohort study was based on data from several national registers in Sweden. All female residents of Stockholm who were born after 1932; had their first BC diagnosis between January 1, 1991, and December 31, 2019; and had at least 1 identified female first-degree relative (FDR) were included. Women who were diagnosed with other types of cancer before their BC diagnosis, were older than 75 years at diagnosis, or had distant metastasis at diagnosis were excluded. A total of 28 649 women were included. Data were analyzed from January 10, 2022, to December 20, 2022. Exposures: Family history of BC, defined as 1 or more female FDRs diagnosed with BC. Main Outcomes and Measures: Patients were followed up until BC-specific death, censoring, or end of follow-up on December 31, 2019. The role of family history in BC-specific mortality was investigated using flexible parametric survival models among the full cohort, ER-positive subgroup, and ER-negative subgroup, adjusting for demographic characteristics, tumor characteristics, and treatments received. Results: Among 28 649 patients, the mean (SD) age at BC diagnosis was 55.7 (10.4) years; 19 545 (68.2%) had ER-positive BC, and 4078 (14.2%) had ER-negative BC. Overall, 5081 patients (17.7%) had at least 1 female FDR diagnosed with BC, while 384 (1.3%) had a family history of early-onset BC (FDR diagnosed before age 40 years). During the follow-up period (median [IQR], 8.7 [4.1-15.1] years), 2748 patients (9.6%) died of BC. Multivariable analyses revealed that having a family history of BC was associated with a lower risk of BC-specific death among the full cohort (hazard ratio [HR], 0.78; 95% CI, 0.65-0.95) and the ER-negative subgroup (HR, 0.57; 95% CI, 0.40-0.82) in the first 5 years, after which no association was observed. However, having an early-onset family history was associated with a higher risk of BC-specific death (HR, 1.41; 95% CI, 1.03-2.34). Conclusions and Relevance: In this study, patients with a family history of BC did not necessarily have a worse prognosis. Those with ER-negative status and a family history of BC had more favorable outcomes in the first 5 years after diagnosis, possibly due to enhanced motivation to receive and adhere to treatment. However, patients with a family history of early-onset BC had worse survival, suggesting that genetic testing of newly diagnosed patients with early-onset family history may provide useful information to aid treatment and future research.

Indexed as

Breast NeoplasmsAgedCohort StudiesFamilyFemaleHumansMedical History TakingMiddle AgedReceptors, EstrogenSwedenReceptors, Estrogen

Identifiers

PMID37310740
PMCPMC10265300
OpenAlexW4380423067

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.