Evidence map›Paper›PMID 31361529›Full record

Observational studyAJR. American journal of roentgenology2019

Utility of Multiparametric MRI for Predicting Residual Clinically Significant Prostate Cancer After Focal Laser Ablation.

Ely R Felker, Steven S Raman, David S K Lu, Mitch Tuttle, Daniel J Margolis, Fuad F ElKhoury, James Sayre, Leonard S Marks

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in AJR. American journal of roentgenology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

8 authors at 2 institutions in 1 country.

Ely R FelkerDepartment of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Blvd, Los Angeles, CA 90095.
Steven S RamanDepartment of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Blvd, Los Angeles, CA 90095.
David S K LuDepartment of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Blvd, Los Angeles, CA 90095.
Mitch TuttleDepartment of Radiology, Ronald Reagan UCLA Medical Center, 757 Westwood Blvd, Los Angeles, CA 90095.
Daniel J MargolisDepartment of Radiology, Weill Cornell Medical College, New York, NY.
Fuad F ElKhouryDepartment of Urology, Ronald Reagan UCLA Medical Center, Los Angeles, CA.
James SayreDepartment of Biostatistics, David Geffen School of Medicine, Los Angeles, CA.
Leonard S MarksDepartment of Urology, Ronald Reagan UCLA Medical Center, Los Angeles, CA.
Ronald Reagan UCLA Medical Center · USCornell University · US

Funding

Focal Laser Ablation of Prostate Cancer using MR/US FusionR01CA218547 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARKS, LEONARD STEPHEN, NATARAJAN, SHYAM · 2017 to 2021
$3.1M
Prospective Assessment of Image Registration for the Diagnosis of Prostate CancerR01CA195505 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MARKS, LEONARD STEPHEN · 2015 to 2016
$705k
NCI NIH HHS R01 CA195505NCI NIH HHS R01 CA218547
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Ablation TechniquesLaser TherapyMultiparametric Magnetic Resonance ImagingClinical Trials as TopicContrast MediaHumansImage-Guided BiopsyMaleMiddle AgedNeoplasm GradingNeoplasm, ResidualPredictive Value of TestsProstate-Specific AntigenProstatic NeoplasmsRetrospective StudiesContrast MediaProstate-Specific Antigenfocal therapyMRIprostate

Identifiers

PMID31361529
PMCPMC7311209
OpenAlexW2966754405

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.