Evidence map›Paper›PMID 27929664›Full record

ReviewAJR. American journal of roentgenology2017

Paradigm Shifts in Breast Care Delivery: Impact of Imaging in a Multidisciplinary Environment.

Savitri Krishnamurthy, Therese Bevers, Henry M Kuerer, Benjamin Smith, Wei Tse Yang

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in AJR. American journal of roentgenology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 1 institution in 1 country.

Savitri Krishnamurthy1 Department of Pathology Administration, The University of Texas M. D. Anderson Cancer Center, Houston, TX.
Therese Bevers2 Department of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX.
Henry M Kuerer3 Department of Breast Surgical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX.
Benjamin Smith4 Department of Radiation Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX.
Wei Tse Yang5 Department of Diagnostic Radiology, The University of Texas M. D. Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

objectiveThe practice of breast imaging in a collaborative multidisciplinary environment adds significant value to outcomes in women's health care. In this article, we describe multidisciplinary considerations in breast cancer screening and early detection, the impact of imaging and histopathologic findings in the diagnostic evaluation and management of breast abnormalities, and the contribution of imaging to surgical and radiation therapy planning for the breast cancer patient.

conclusionThe multidisciplinary delivery of breast care for women that incorporates screening, diagnosis of borderline and high-risk lesions, and management of the breast cancer patient adds considerable value to outcomes in health care.

Indexed as

Breast NeoplasmsDelivery of Health Care, IntegratedEarly Detection of CancerFemaleForecastingHumansMammographyPatient Care Teamatypiabiopsybreast cancerlobular neoplasianodal metastasesultrasound

Identifiers

PMID27929664
PMCPMC5482504
OpenAlexW2560586839

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.