Evidence map›Paper›PMID 36907575›Full record

ArticleObstetrics & gynecology science2023

Diagnostic imaging of adnexal masses in pregnancy.

Junhwan Kim, Jihye Lim, Jeong-Won Sohn, Seung Mi Lee, Maria Lee

Open access · diamondAbstract read
In one paragraph

Article in Obstetrics & gynecology science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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  5. 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

5 authors at 3 institutions in 2 countries.

Junhwan KimDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Jihye LimDepartment of Obstetrics and Gynecology, Seoul National University Hospital, Seoul, Korea.
Jeong-Won SohnDepartment of Obstetrics and Gynecology, Bombit Women's Hospital, Anyang, Korea.
Seung Mi LeeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Maria LeeDepartment of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Seoul National University · KRCheil General Hospital and Women's Healthcare Center · KRSeoul National University Hospital · KR

Funding

Korea Medical Device Development FundMinistry of Food and Drug Safety 1711135009 RS-2020- KD000043Ministry of Health and WelfareMinistry of Science and ICTMinistry of Trade, Industry and Energy
6 · The paper itself

Abstract

Adnexal masses detected during pregnancy require a prompt and accurate diagnosis to ensure fetal safety and good oncological outcomes. Computed tomography is the most common and useful diagnostic imaging modality for diagnosing adnexal masses; however, it is contraindicated in pregnant women because of the teratogenic effect of radiation on the fetus. Therefore, ultrasonography (US) is commonly used as the main alternative for the differential diagnosis of adnexal masses during pregnancy. Additionally, magnetic resonance imaging (MRI) can assist in the diagnosis when US findings are inconclusive. As each disease has characteristic US and MRI findings, understanding these features is important for the initial diagnosis and subsequent treatment. Thus, we thoroughly reviewed the literature and summarized the key findings of US and MRI to apply these in real-world clinical practice for various adnexal masses detected during pregnancy.

Indexed as

Adnexal diseaseDiagnostic imagingMagnetic resonance imagingPregnant womanUltrasonography

Identifiers

PMID36907575
PMCPMC10191762
OpenAlexW4323981673

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.