Evidence map›Paper›PMID 23756995›Full record

ArticleInsights into imaging2013

A pictorial overview of pubovisceral muscle avulsions on pelvic floor magnetic resonance imaging.

Karin Lammers, Mathias Prokop, Mark E Vierhout, Kirsten B Kluivers, Jurgen J Fütterer

Abstract read
In one paragraph

Article in Insights into imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Karin LammersDepartment of Obstetrics and Gynaecology (791), Radboud University Medical Centre, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands, K.Lammers@obgyn.umcn.nl.
Mathias Prokop
Mark E Vierhout
Kirsten B Kluivers
Jurgen J Fütterer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDespite extensive research aimed at clarifying (failing) pelvic organ support, the complete aetiology of pelvic organ prolapse (POP) is still not fully understood. During vaginal delivery, the pelvic floor can be irreversibly traumatised, resulting in pubovisceral muscle avulsions. The aetiology of these avulsions is discussed in this pictorial overview. Normal female pelvic floor anatomy is described and variations are exemplified using magnetic resonance (MR) images. The clinical relevance of detecting pubovisceral muscle avulsions is specified.

methodsT2-weighted MR imaging has multiplanar capabilities with high diagnostic accuracy allowing for detailed visualisation of the pelvic floor. Together with the use of a three-dimensional (3D) post-processing program, the presence and severity of pubovisceral muscle avulsions can be quantified.

resultsPelvic floor MR imaging is a non-invasive method that enables adequate identification of pubovisceral muscle avulsions which are known risk factors for the development of POP. They can be scored with good to excellent inter- and intra-observer reliability.

conclusionsRadiologists and urogynaecology subspecialists should be familiar with MR imaging findings of pubovisceral muscle avulsions as this birth-related trauma is observed in over 36 % of vaginally parous women. TEACHING POINTS: • Pelvic organ prolapse (POP) is a growing problem for both patients and for our healthcare system • Pubovisceral muscle avulsions are known risk factors for pelvic organ prolapse (POP) • T2-weighted MR imaging visualises pubovisceral muscle avulsions adequately • Pubovisceral muscle avulsions are scored with good to excellent inter- and intra-observer reliability.

Identifiers

PMID23756995
PMCPMC3731469

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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.