Evidence map›Paper›PMID 36766541›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Classifying Breast Cancer Metastasis Based on Imaging of Tumor Primary and Tumor Biology.

Barbara Awad, Agni Chandora, Ben Bassett, Brittany Hermecz, Stefanie Woodard

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
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.

Barbara AwadDebusk College of Osteopathic Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate, TN 37752, USA.
Agni ChandoraDepartment of Radiology, The University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA.
Ben BassettDepartment of Radiology, The University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA.
Brittany HermeczVulcan Imaging Associates, 2204 Lakeshore Dr. #140, Birmingham, AL 35209, USA.
Stefanie WoodardDepartment of Radiology, The University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA.ORCID 0000-0002-2496-6964

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular classification of breast cancer has allowed for a better understanding of both prognosis and treatment of breast cancer. Imaging of the different molecular subtypes has revealed that biologically different tumors often exhibit typical features in mammography, ultrasound, and MRI. Here, we introduce the molecular classification of breast cancer and review the typical imaging features of each subtype, examining the predictive value of imaging with respect to distant metastases.

Indexed as

breast cancerbreast MRIbreast ultrasoundHER2+luminalmammographymetastatic breast cancermolecular biologyTNBC

Identifiers

PMID36766541
PMCPMC9914718

What OpenQuestion holds

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LicenceCC BY
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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.