Evidence map›Paper›PMID 33092074›Full record

ReviewDiagnostics (Basel, Switzerland)2020

Differential Diagnosis of Endometriosis by Ultrasound: A Rising Challenge.

Marco Scioscia, Bruna A Virgilio, Antonio Simone Laganà, Tommaso Bernardini, Nicola Fattizzi, Manuela Neri, Stefano Guerriero

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
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  6. Blue-brownish Nodule in the Umbilical Area: A Quiz.Acta dermato-venereologica · 2023
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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

7 authors.

Marco SciosciaDepartment of Obstetrics and Gynecology, Policlinico Hospital, 35031 Abano Terme, PD, Italy.ORCID 0000-0002-5757-2793
Bruna A VirgilioDepartment of Obstetrics and Gynecology, Policlinico Hospital, 35031 Abano Terme, PD, Italy.
Antonio Simone LaganàDepartment of Obstetrics and Gynecology, "Filippo Del Ponte" Hospital, University of Insubria, 21100 Varese, VA, Italy.ORCID 0000-0003-1543-2802
Tommaso BernardiniDepartment of Obstetrics and Gynecology, Policlinico Hospital, 35031 Abano Terme, PD, Italy.
Nicola FattizziDepartment of Obstetrics and Gynecology, Policlinico Hospital, 35031 Abano Terme, PD, Italy.
Manuela NeriObstetrics and Gynecology, University of Cagliari, 09124 Cagliari, CA, Italy.
Stefano GuerrieroObstetrics and Gynecology, University of Cagliari, 09124 Cagliari, CA, Italy.ORCID 0000-0002-1359-7155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound is an effective tool to detect and characterize endometriosis lesions. Variances in endometriosis lesions' appearance and distorted anatomy secondary to adhesions and fibrosis present as major difficulties during the complete sonographic evaluation of pelvic endometriosis. Currently, differential diagnosis of endometriosis to distinguish it from other diseases represents the hardest challenge and affects subsequent treatment. Several gynecological and non-gynecological conditions can mimic deep-infiltrating endometriosis. For example, abdominopelvic endometriosis may present as atypical lesions by ultrasound. Here, we present an overview of benign and malignant diseases that may resemble endometriosis of the internal genitalia, bowels, bladder, ureter, peritoneum, retroperitoneum, as well as less common locations. An accurate diagnosis of endometriosis has significant clinical impact and is important for appropriate treatment.

Indexed as

abdominal walladenomyosisbladderbowelendometriosisovaryrectumuretervagina

Identifiers

PMID33092074
PMCPMC7589178

What OpenQuestion holds

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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.