Evidence map›Paper›PMID 21693627›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011

Localized fibroglandular tissue as a predictor of future tumor location within the breast.

Snehal M Pinto Pereira, Valerie A McCormack, John H Hipwell, Carol Record, Louise S Wilkinson, Sue M Moss, David J Hawkes, Isabel dos-Santos-Silva

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  17. Cyclic endogenous estrogen and progesterone vary by mammographic density phenotypes in premenopausal women.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2016
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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

8 authors at 4 institutions in 2 countries.

Snehal M Pinto PereiraDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Valerie A McCormack
John H Hipwell
Carol Record
Louise S Wilkinson
Sue M Moss
David J Hawkes
Isabel dos-Santos-Silva
University College London · GBBuckinghamshire Healthcare NHS Trust · GBCentre International de Recherche sur le Cancer · FRInstitute of Cancer Research · GB

Funding

Cancer Research UK A5660Cancer Research UK A5815Cancer Research UK C150/A5660Cancer Research UK SP2315/0201Medical Research Council G9000793
6 · The paper itself

Abstract

backgroundMammographic density (MD) is a strong marker of breast cancer risk, but it is unclear whether tumors arise specifically within dense tissue.

methodsIn 231 British women diagnosed with breast cancer after at least one negative annual screening during a mammographic screening trial, we assessed whether tumor location was related to localized MD 5 years prior to diagnosis. Radiologists identified tumor locations on digitised films. We used a validated algorithm to align serial images from the same woman to locate the corresponding point on the prediagnostic film. A virtual 1 cm square grid was overlaid on prediagnostic films and MD calculated for each square within a woman's breast (mean = 271 squares/film). Conditional logistic regression, matching on a woman's breast, was used to estimate the odds of a tumor arising in a square in relation to its prediagnostic square-specific MD.

resultsMedian (interquartile range) prediagnostic MD was 98.2% (46.8%-100%) in 1 cm-squares that subsequently contained the tumor and 41.0% (31.5%-53.9%) for the whole breast. The odds of a tumor arising in a 1 cm-square were, respectively, 6.1 (95% CI: 1.9-20.1), 16.6 (5.2-53.2), and 25.5-fold (8.1-80.3) higher for squares in the second, third, and fourth quartiles of prediagnostic MD relative to those in the lowest quartile within that breast (P(trend) < 0.001). The corresponding odds ratios were 2.3 (1.3-4.0), 3.9 (2.3-6.4), and 4.6 (2.8-7.6) if a 3 cm-square grid was used.

conclusionTumors arise predominantly within the radiodense breast tissue. IMPACT: Localized MD may be used as a predictor of subsequent tumor location within the breast.

Indexed as

AdultBreastBreast NeoplasmsFemaleHumansMammographyMiddle AgedPrecancerous Conditions

Identifiers

PMID21693627
PMCPMC3154655
OpenAlexW2157339736

What OpenQuestion holds

Textmetadata
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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.