Evidence map›Paper›PMID 30402567›Full record

ArticleInvestigative and clinical urology2018

Does epithelioid angiomyolipoma have poorer prognosis, compared with classic angiomyolipoma?

Wonchul Lee, Se Young Choi, Chanwoo Lee, Sangjun Yoo, Dalsan You, In Gab Jeong, Cheryn Song, Kun Suk Kim, Bumsik Hong, Jun Hyuk Hong and 2 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Investigative and clinical urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Massive Malignant Epithelioid Angiomyolipoma of the Kidney.Journal of kidney cancer and VHL · 2022
    Article
  7. Article
  8. Canadian Urological Association best practice report: Diagnosis and management of sporadic angiomyolipomas.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2020
    Article
  9. 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

12 authors at 1 institution in 1 country.

Wonchul LeeDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Se Young ChoiDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Chanwoo LeeDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sangjun YooDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Dalsan YouDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
In Gab JeongDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Cheryn SongDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Kun Suk KimDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Bumsik HongDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jun Hyuk HongDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hanjong AhnDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Choung-Soo KimDepartment of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID 0000-0002-7464-3207
Ulsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Classic angiomyolipoma (AML) is common benign kidney tumor. However, some studies have claimed that epithelioid angiomyolipoma (EAML) has malignant potential. We compared the patient characteristics and prognosis of EAML and classic AML to demonstrate predicting factors and poorer prognosis of EAML. Materials and Methods: The medical records of 231 patients who were diagnosed with EAML (n=27, 11.7%) or classic AML (n=204, 88.3%), were reviewed. All patients underwent computed tomography (CT) scans before operation or needle biopsy. We assessed the age, sex, tumor size, body mass index, comorbidities, and Hounsfield unit (HU) according to each CT phase. We defined the unfavorable group as patients with recurrence, metastasis and death due to tumor progression. Logistic regression analysis was used to predict EAML. Results: EAML patients were younger (41.2 years vs. 49.1 years, p=0.001), predominantly male (55.6% vs. 28.4%, p=0.005), and had a larger tumor (7.5 cm vs. 4.2 cm, p<0.001). The median pre-contrast HU was not significantly different between EAML and classic AML (29.9±23.7 vs. 14.7±41.0, p=0.071). In multivariable analysis, younger age (odds ratio [OR], 0.96; p=0.032), male sex (OR, 3.33; p=0.013), and tumor larger than 4 cm (OR, 3.8; p=0.009) were significant predictive factors. Five patients (18.5%) had unfavorable outcomes, two patients had lymph node metastasis, and three patients had lung metastasis. Conclusions: Patient and tumor characteristics can be helpful in determining the type of AML preoperatively. Younger age, male sex, and larger tumor mass may increase the possibility of diagnosing EAML. EAML has malignant potential and requires careful follow-up.

Indexed as

AdultAge FactorsAngiomyolipomaCell Transformation, NeoplasticEpithelioid CellsFemaleHumansKidney NeoplasmsLung NeoplasmsLymphatic MetastasisMaleMiddle AgedPrognosisRetrospective StudiesSex FactorsTomography, X-Ray ComputedAngiomyolipomaMalignancyPrognosis

Identifiers

PMID30402567
PMCPMC6215778
OpenAlexW2894890843

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.