Evidence map›Paper›PMID 32205808›Full record

ReviewCurrent opinion in urology2020

The role of imaging in the diagnosis and management of Peyronie's disease.

Madhumita Parmar, John M Masterson, Thomas A Masterson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current opinion in urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Madhumita ParmarDepartment of Urology, University of Miami, Miami, Florida.
John M MastersonDepartment of Urology, Cedars-Sanai, Los Angeles, California.
Thomas A MastersonDepartment of Urology, University of Miami, Miami, Florida.
University of Miami · USCedars-Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewSeveral imaging modalities exist for the assessment of Peyronie's disease. However, comprehensive recommendations for using these objective modalities based on large-scale evidence-based studies do not yet exist. Our objective is to evaluate current imaging techniques and provide a model that we follow in our clinic in the workup and management of Peyronie's disease. RECENT

findingsComputed tomography and radiography excellently visualize penile plaque calcifications, and MRI adeptly identifies plaques in complex locations, such as the corporal septum. Ultrasonography has extensive applications in plaque localization and characterization. Used along with color Doppler ultrasound, it is capable of detecting vascular abnormalities. Sonoelastography is an emerging subtype of ultrasongraphy that utilizes elastic properties of tissue to identify penile plaques that may not be visualized with other modalities. SUMMARY: Ultrasonography is the preferred imaging modality in Peyronie's disease and noninvasively characterizes penile plaques and monitors plaque response to various treatments. At our center, we perform ultrasonography with intracavernosal injection in all patients with Peyronie's disease to evaluate the degree of curvature, plaque characteristics, and concomitant erectile dysfunction to better guide management decisions.

Indexed as

Elasticity Imaging TechniquesErectile DysfunctionHumansMalePenile ErectionPenile IndurationPenisUltrasonography

Identifiers

PMID32205808
OpenAlexW3012877013

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.