Evidence map›Paper›PMID 32456508›Full record

ArticleAmerican journal of men's health

Incidental Gynecomastia on Thoracic Computed Tomography in Clinical Practice: Characteristics, Radiologic Features, and Correlation With Possible Causes in South Korean Men.

Min Seon Kim, Jun Ho Kim, Kyung Hee Lee, Young Ju Suh

Open access · goldAbstract read
In one paragraph

Article in American journal of men's health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Min Seon KimDepartment of Radiology, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.
Jun Ho KimDepartment of Radiology, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.ORCID 0000-0002-7913-7506
Kyung Hee LeeDepartment of Radiology, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea.
Young Ju SuhDepartment of Biomedical Sciences, College of Medicine, Inha University, Incheon, South Korea.
Inha University Hospital · KRInha University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gynecomastia is a common incidental finding on thoracic computed tomography (CT). This study aimed to retrospectively determine the prevalence, imaging characteristics, and possible causes of incidental gynecomastia on thoracic CT. Records of male patients who underwent thoracic CT in 2015 were reviewed. The size and morphologic types (nodular, dendritic, and diffuse) were recorded for patients with breast glandular tissue larger than 1 cm, and the cutoff value of gynecomastia was defined as 2 cm. Additionally, the possible causes of gynecomastia obtained by reviewing patients' charts were recorded. CT-depicted gynecomastia was identified in 12.7% (650 of 5,501) of patients. The median size of the breast glandular tissue was 2.5 cm (interquartile range 2.2-3.1), and 36.8% of patients (239 of 650) had unilateral gynecomastia. The age distribution provided a bimodal pattern with two peaks in the age groups from 20 to 29 years old and greater than 70 years old. Chronic liver disease (CLD;

Indexed as

Radiography, ThoracicTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overChildGynecomastiaHumansMaleMedical AuditMiddle AgedPrevalenceRepublic of KoreaRetrospective StudiesYoung Adultcomputed tomographyGynecomastiaprevalence

Identifiers

PMID32456508
PMCPMC7278101
OpenAlexW3032685297

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.