Evidence map›Paper›PMID 22215386›Full record

ArticleBreast cancer research and treatment2012

Obstetric history and mammographic density: a population-based cross-sectional study in Spain (DDM-Spain).

Virginia Lope, Beatriz Pérez-Gómez, Carmen Sánchez-Contador, María Carmen Santamariña, Pilar Moreo, Carmen Vidal, Maria Soledad Laso, Maria Ederra, Carmen Pedraz-Pingarrón, Isabel González-Román and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 39 citations in OpenAlex.

  1. Trial
  2. Article
  3. Reproductive Factors Related to Childbearing and a Novel Automated Mammographic Measure, V.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  4. Article
  5. Breastfeeding and Mammographic Breast Density: A Cross-sectional Study.Cancer prevention research (Philadelphia, Pa.) · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

19 authors at 3 institutions in 1 country.

Virginia LopeCancer Epidemiology Unit, National Center of Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos 5, 28029 Madrid, Spain.
Beatriz Pérez-Gómez
Carmen Sánchez-Contador
María Carmen Santamariña
Pilar Moreo
Carmen Vidal
Maria Soledad Laso
Maria Ederra
Carmen Pedraz-Pingarrón
Isabel González-Román
Milagros García-López
Dolores Salas-Trejo
Mercé Peris
María Pilar Moreno
Jose Antonio Vázquez-Carrete
Francisca Collado
Nuria Aragonés
Marina Pollán
DDM-Spain
Instituto de Salud Carlos III · ESGovernment of Spain · ESInstitut Català d'Ornitologia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High mammographic density (MD) is used as a phenotype risk marker for developing breast cancer. During pregnancy and lactation the breast attains full development, with a cellular-proliferation followed by a lobular-differentiation stage. This study investigates the influence of obstetric factors on MD among pre- and post-menopausal women. We enrolled 3,574 women aged 45-68 years who were participating in breast cancer screening programmes in seven screening centers. To measure MD, blind anonymous readings were taken by an experienced radiologist, using craniocaudal mammography and Boyd's semiquantitative scale. Demographic and reproductive data were directly surveyed by purpose-trained staff at the date of screening. The association between MD and obstetric variables was quantified by ordinal logistic regression, with screening centre introduced as a random effect term. We adjusted for age, number of children and body mass index, and stratified by menopausal status. Parity was inversely associated with density, the probability of having high MD decreased by 16% for each new birth (P value < 0.001). Among parous women, a positive association was detected with duration of lactation [>9 months: odds ratio (OR) = 1.33; 95% confidence interval (CI) = 1.02-1.72] and weight of first child (>3,500 g: OR = 1.32; 95% CI = 1.12-1.54). Age at first birth showed a different effect in pre- and post-menopausal women (P value for interaction = 0.030). No association was found among pre-menopausal women. However, in post-menopausal women the probability of having high MD increased in women who had their first child after the age of 30 (OR = 1.53; 95% CI = 1.17-2.00). A higher risk associated with birth of twins was also mainly observed in post-menopausal women (OR = 2.02; 95% CI = 1.18-3.46). Our study shows a greater prevalence of high MD in mothers of advanced age at first birth, those who had twins, those who have breastfed for longer periods, and mothers whose first child had an elevated birth weight. These results suggest the influence of hormones and growth factors over the proliferative activity of the mammary gland.

Indexed as

Reproductive HistoryAgedBreastCross-Sectional StudiesFemaleHumansLactationMammographyMiddle AgedObstetricsPostmenopausePremenopauseRisk FactorsSpain

Identifiers

PMID22215386
PMCPMC3332340
OpenAlexW2035370567

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.