Evidence map›Paper›PMID 31885567›Full record

ArticleJournal of oncology2019

Exploring the Role of Breast Density on Cancer Prognosis among Women Attending Population-Based Screening Programmes.

Laia Domingo, Maria Sala, Javier Louro, Marisa Baré, Teresa Barata, Joana Ferrer, Maria Carmen Carmona-Garcia, Mercè Comas, Xavier Castells, Camiss Study Group

Open access · hybridAbstract read
In one paragraph

Article in Journal of oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. 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 at 5 institutions in 1 country.

Laia DomingoDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Passeig Marítim, 25-29, 08003 Barcelona, Spain.
Maria SalaDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Passeig Marítim, 25-29, 08003 Barcelona, Spain.ORCID https://orcid.org/0000-0002-9955-8746
Javier LouroDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Passeig Marítim, 25-29, 08003 Barcelona, Spain.
Marisa BaréResearch Network on Health Services in Chronic Diseases (REDISSEC), Barcelona, Spain.
Teresa BarataGeneral Directorate of Health Care Programmes, Canary Islands Health Service, C/Juan XXIII, 13 35005, Las Palmas de Gran Canaria, Spain.
Joana FerrerDepartment of Radiology, Hospital de Santa Caterina, C/Dr. Castany, s/n, 17190 Salt, Girona, Spain.
Maria Carmen Carmona-GarciaEpidemiology Unit and Girona Cancer Registry, Oncology Coordination Plan, Department of Health, Catalan Institute of Oncology, C/Sol, 15, Barcelona 17004, Girona, Spain.
Mercè ComasDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Passeig Marítim, 25-29, 08003 Barcelona, Spain.
Xavier CastellsDepartment of Epidemiology and Evaluation, IMIM (Hospital del Mar Medical Research Institute), Passeig Marítim, 25-29, 08003 Barcelona, Spain.
Camiss Study GroupIMIM (Hospital del Mar Medical Research Institute), Passeig Marítim, 25-29, 08003 Barcelona, Spain.
Spanish Clinical Research Network · ESUniversitat Autònoma de Barcelona · ESClínica Girona · ESHospital Santa Caterina · ESMunicipal Institute for Medical Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur aim was to assess the role of breast density on breast cancer mortality and recurrences, considering patient and tumour characteristics and the treatments received among women attending population-based screening programmes.

methodsWe conducted a retrospective cohort study among women aged 50-69 years attending population-based screening programmes, diagnosed with invasive breast cancer between 2000 and 2009, and followed up to 2014. Breast density was categorised as low density (≤25% dense tissue), intermediate density (25-50%), and high density (≥50%). Cox proportional hazards regression models were fitted to estimate the adjusted hazard ratios (aHR) and 95% confidence intervals (95% CI) for death and recurrences, adjusting by patient characteristics, mode of detection (screen-detected vs. interval cancer), and tumour features.

resultsThe percentage of deaths and recurrences was higher among women with intermediate- and high-density breasts than among women with low-density breasts (

conclusionsBreast density was associated with a higher risk of death, but not of recurrences, among women participating in breast cancer screening. These findings reinforce the need to improve screening sensitivity among women with dense breasts and to routinely assess breast density, not only for its role as a risk factor for breast cancer but also for its potential influence on cancer prognosis.

Identifiers

PMID31885567
PMCPMC6900953
OpenAlexW2990366548

What OpenQuestion holds

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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.