Evidence map›Paper›PMID 32945970›Full record

ArticleEuropean radiology2021

Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.

Rakesh Shiradkar, Ananya Panda, Patrick Leo, Andrew Janowczyk, Xavier Farre, Nafiseh Janaki, Lin Li, Shivani Pahwa, Amr Mahran, Christina Buzzy and 6 more

Abstract readPublished Erratum
PubMed Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Rakesh ShiradkarDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA. rxs558@case.edu.ORCID https://orcid.org/0000-0003-2852-3869
Ananya PandaDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Patrick LeoDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Andrew JanowczykDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Xavier FarreDepartment of Public Health, Public Health Agency of Catalonia, Lleida, Catalonia, Spain.
Nafiseh JanakiDepartment of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Lin LiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Shivani PahwaDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Amr MahranDepartment of Urology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Christina BuzzyDepartment of Urology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Pingfu FuDepartment of Population and Quantitative Health Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Robin ElliottDepartment of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Gregory MacLennanDepartment of Pathology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Lee PonskyDepartment of Urology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Vikas GulaniDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Anant MadabhushiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID32945970

What OpenQuestion holds

Textmetadata
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.