Evidence map›Paper›PMID 32415411›Full record

ReviewCurrent urology reports2020

The Role of MRI in the Diagnosis of Pelvic Floor Disorders.

Jocelyn Fitzgerald, Lee A Richter

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. Vaginal tactile imaging: A review.Pelviperineology · 2023
    Article
  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

2 authors at 1 institution in 1 country.

Jocelyn FitzgeraldNational Center for Advanced Pelvic Surgery, MedStar Washington Hospital Center/ MedStar Georgetown University, Washington, DC, USA.
Lee A RichterNational Center for Advanced Pelvic Surgery, MedStar Washington Hospital Center/ MedStar Georgetown University, Washington, DC, USA. Lee.ann.richter@medstar.net.ORCID http://orcid.org/0000-0002-2688-4057
MedStar Washington Hospital Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis article provides an overview of MRI as a dynamic imaging modality as well as recent updates on the role of MRI in the evaluation of female pelvic floor disorders, including pelvic organ prolapse (POP), rectal prolapse, and defecatory dysfunction. RECENT

findingsPelvic floor disorders in women are common, and demand for treatment is high. Recently, multidisciplinary guidelines for dynamic MRI have been published to reflect this need. Despite criticisms that MRI is an expensive modality, cost-analysis studies are demonstrating utility for MRI in surgical decision-making trees for patients at risk for treatment failure after POP repairs. Novel measures such as anterior pelvic area and levator volumes are being used to predict and study patients with and at risk for POP. Recent standardized radiographic guidelines as reviewed in this paper will likely lead to improved reproducibility of dynamic MRI techniques across institutions, making complex pelvic floor assessment increasingly accessible to patients while creating opportunities for novel and collaborative research.

Indexed as

Magnetic Resonance ImagingDefecationFemaleHumansPelvic Floor DisordersPelvic Organ ProlapsePractice Guidelines as TopicBowel dysfunctionDynamic MRIFemale urologyMagnetic resonance imagingPelvic floorPelvic organ prolapse

Identifiers

PMID32415411
OpenAlexW3025773226

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.