Evidence map›Paper›PMID 26756229›Full record

ArticleWomen's health (London, England)2016

Breast cancer subtypes: morphologic and biologic characterization.

Shahla Masood

Abstract read
In one paragraph

Article in Women's health (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Joint EANM-SNMMI guideline on the role of 2-[European journal of nuclear medicine and molecular imaging · 2024
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  12. Precision medicine in breast cancer (Review).Molecular and clinical oncology · 2024
    Review
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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

1 author.

Shahla MasoodDepartment of Pathology & Laboratory Medicine, University of Florida College of Medicine - Jacksonville, UF Health Breast Center, UF Health Jacksonville, 655 W. 8th Street, Box C-505, Jacksonville, FL 32209, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in basic science, technology and translational research have created a revolution in breast cancer diagnosis and therapy. Researchers' discoveries of genes defining variability in response to therapy and heterogeneity in clinical presentations and tumor biology are the foundation of the path to personalized medicine. The success of personalized breast cancer care depends on access to pertinent clinical information and risk factors, optimal imaging findings, well-established morphologic features, and traditional and contemporary prognostic/predictive testing. The integration of these entities provides an opportunity to identify patients who can benefit from specific therapies, and demonstrates the link between breast cancer subtypes and their association with different tumor biology. It is critical to recognize specific types of breast cancer in individual patients and design optimal personalized therapy. This article will highlight the roles of morphologic features and established tumor biomarkers on patient outcome.

Indexed as

Breast NeoplasmsDelivery of Health CareDrug Resistance, NeoplasmEvidence-Based MedicineFemaleHumansMedical OncologyNeoplasm StagingPrecision MedicineRisk Factorsbreast cancer subtypesmolecular characterizationpersonalized medicine

Identifiers

PMID26756229
PMCPMC5779568

What OpenQuestion holds

Textmetadata
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.