Evidence map›Paper›PMID 36448912›Full record

ReviewAJR. American journal of roentgenology2023

Barriers to Implementation of Contrast-Enhanced Mammography in Clinical Practice:

Thiemo J A van Nijnatten, Marc B I Lobbes, Andrea Cozzi, Bhavika K Patel, Margarita L Zuley, Maxine S Jochelson

Open access · greenAbstract readReview
In one paragraph

Review in AJR. American journal of roentgenology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. State-of-the-art for contrast-enhanced mammography.The British journal of radiology · 2024
    Review
  11. Breast Imaging Physics in Mammography (Part II).Diagnostics (Basel, Switzerland) · 2023
    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

6 authors at 6 institutions in 3 countries.

Thiemo J A van NijnattenDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, PO Box 5800, Maastricht 6202 AZ, The Netherlands.
Marc B I LobbesGROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht, The Netherlands.
Andrea CozziUnit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Bhavika K PatelDepartment of Radiology, Mayo Clinic, Phoenix, AZ.
Margarita L ZuleyDepartment of Radiology, University of Pittsburgh, Pittsburgh, PA.
Maxine S JochelsonDepartment of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY.
IRCCS Policlinico San Donato · ITMaastricht University · NLMayo Clinic Hospital · USMemorial Sloan Kettering Cancer Center · USUniversity Medical Center · USUniversity of Pittsburgh · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Accumulating evidence shows that contrast-enhanced mammography (CEM) has higher diagnostic performance than digital mammography and ultrasound and comparable diagnostic performance to MRI for various indications. CEM also offers certain practical advantages for patients. Nevertheless, the clinical implementation of CEM has been limited because of a range of factors. This

Indexed as

Breast NeoplasmsMammographyContrast MediaFemaleHumansMagnetic Resonance ImagingPhysical ExaminationContrast Mediacontrast-enhanced mammographyexpert panel recommendationsimplementation

Identifiers

PMID36448912
PMCPMC11025563
OpenAlexW4310466763

What OpenQuestion holds

Textmetadata
LicenceTDM
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.