Evidence map›Paper›PMID 32876474›Full record

ArticleAJR. American journal of roentgenology2021

Quantitative Measures of Background Parenchymal Enhancement Predict Breast Cancer Risk.

Bethany L Niell, Mahmoud Abdalah, Olya Stringfield, Natarajan Raghunand, Dana Ataya, Robert Gillies, Yoganand Balagurunathan

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in AJR. American journal of roentgenology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
2.5field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Application of Machine Learning to Breast MR Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  9. Article
  10. Quantitative MR Imaging of the Breast.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
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  20. 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

7 authors at 1 institution in 1 country.

Bethany L NiellDepartments of Diagnostic Imaging and Interventional Radiology and Oncologic Sciences, Division of Breast Imaging, H. Lee Moffitt Cancer Center and Research Institute, 10902 McKinley Dr, Tampa, FL 33612.
Mahmoud AbdalahQuantitative Imaging Core, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Olya StringfieldQuantitative Imaging Core, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Natarajan RaghunandDepartments of Cancer Physiology and Oncologic Sciences, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Dana AtayaDepartments of Diagnostic Imaging and Interventional Radiology and Oncologic Sciences, Division of Breast Imaging, H. Lee Moffitt Cancer Center and Research Institute, 10902 McKinley Dr, Tampa, FL 33612.
Robert GilliesDepartments of Cancer Physiology and Oncologic Sciences, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Yoganand BalagurunathanDepartment of Biostatistics and Bioinformatics and Oncologic Sciences, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL.
Moffitt Cancer Center · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AdultAgedBreastBreast NeoplasmsCase-Control StudiesEvaluation Studies as TopicFemaleHumansMagnetic Resonance ImagingMiddle AgedPredictive Value of TestsRetrospective StudiesRisk Assessmentbackground parenchymal enhancementbreastbreast cancerMRIquantitative

Identifiers

PMID32876474
PMCPMC9801515
OpenAlexW3082312030

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.