Evidence map›Paper›PMID 37698652›Full record

ReviewRadiologie (Heidelberg, Germany)2023

[Radiological imaging following pelvic prolapse surgery].

Antonia M Pausch, Cornelia Betschart, Andreas M Hötker

Abstract readEnglish AbstractReview
In one paragraph

Review in Radiologie (Heidelberg, Germany), 2023. 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

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

3 authors.

Antonia M PauschInstitut für Diagnostische und Interventionelle Radiologie, Universitätsspital Zürich, Rämistr. 100, 8091, Zürich, Schweiz.
Cornelia BetschartKlinik für Gynäkologie, Universitätsspital Zürich, Zürich, Schweiz.
Andreas M HötkerInstitut für Diagnostische und Interventionelle Radiologie, Universitätsspital Zürich, Rämistr. 100, 8091, Zürich, Schweiz. andreas.hoetker@usz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

clinical/methodical issuePelvic organ prolapse is a common condition in women, for which both conservative and surgical interventions are available. Knowledge of the different surgical procedures and the materials used is essential for adequate radiological diagnosis after prolapse surgery in order to differentiate potential complications from normal postoperative changes. STANDARD RADIOLOGICAL

methodsIn the immediate postoperative period, computed tomography (CT) is often the modality of choice for evaluating acute complications such as bleeding or organ injuries. Magnetic resonance imaging (MRI) provides excellent soft tissue contrast and is therefore generally preferred for assessing subacute and chronic complications. METHODICAL INNOVATIONS: Innovative techniques such as dynamic MRI protocols can improve the radiological assessment after prolapse surgery by enabling the evaluation of organ mobility. PERFORMANCE: Radiological standard procedures such as computed tomography (CT) and MRI provide detailed and reliable information about the postoperative site and potential complications following prolapse surgery. ACHIEVEMENTS: Radiological imaging plays an important role in the evaluation of patients after prolapse surgery, particularly when complications are suspected. Accurate radiological diagnosis can guide further appropriate therapeutic measures.

Indexed as

Pelvic Organ ProlapseFemaleHumansMagnetic Resonance ImagingTomography, X-Ray ComputedComputed tomographyMagnetic resonance imagingMeshPelvic organ prolapseProlapse surgery

Identifiers

PMID37698652
PMCPMC10600287

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.