Evidence map›Paper›PMID 37584856›Full record

SynthesisReproductive sciences (Thousand Oaks, Calif.)2024

Understanding Ultrasound Features that Predict Symptom Severity in Patients with Adenomyosis: a Systematic Review.

Hiroshi Kobayashi, Shogo Imanaka

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Reproductive sciences (Thousand Oaks, Calif.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Abnormal uterine bleeding: The well-known and the hidden face.Journal of endometriosis and uterine disorders · 2024
    Article
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.

Hiroshi KobayashiDepartment of Gynecology and Reproductive Medicine, Ms.Clinic MayOne, 871-1 Shijo-cho, Kashihara, Nara, 634-0813, Japan. hirokoba@naramed-u.ac.jp.ORCID 0000-0002-8124-6269
Shogo ImanakaDepartment of Gynecology and Reproductive Medicine, Ms.Clinic MayOne, 871-1 Shijo-cho, Kashihara, Nara, 634-0813, Japan.
Nara Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenomyosis is associated with pelvic pain, abnormal uterine bleeding, and infertility. Several ultrasound-based classifications have been reported, but it is not clear which criteria reflect the severity of symptoms. The aim of this review is to summarize the ultrasound features that correlate with clinical manifestations of adenomyosis and to discuss diagnostic methods for predicting disease severity. A literature search of PubMed and Google Scholar published up to March 2022 was performed. A consensus-based classification was determined primarily by defining the mapping or topography of the lesion. Ultrasound features can be classified into direct (i.e., the presence of ectopic endometrial tissue within the myometrium) and indirect findings (i.e., changes in the myometrial structure and translesional vascularity secondary to myometrial invasion). There are some reports that symptoms are positively correlated with the location and spread of the disease. Indeed, the lesion thickness, diffuse or internal adenomyosis, and focal adenomyosis may be associated with increased risks of dysmenorrhea, abnormal uterine bleeding, and infertility, respectively. Two ultrasound markers (i.e., the presence of heterogeneous myometrium and myometrial cysts) appear to be the criteria most clinicians focus on. However, decision-making on treatment necessity is determined by symptom severity rather than the topography of the lesions. There is currently no consensus that symptom severity can be predicted based on ultrasound features, but the ultrasound-based criteria may be helpful in diagnosing adenomyosis.

Indexed as

AdenomyosisInfertilityUterine DiseasesFemaleHumansMyometriumUltrasonographyUterine HemorrhageAdenomyosisDiagnosisSeveritySymptomUltrasound

Identifiers

PMID37584856
OpenAlexW4385851681

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.