Evidence map›Paper›PMID 40474716›Full record

ArticlePathologica2025

Eosinophilic vacuolated tumor of the kidney can have distant metastasis: a histo-molecular case study.

Yang Liu, Luting Zhou, Xianwei Yang, Jing Xie, Fei Yuan, Haimin Xu, Chaofu Wang, Xiaoqun Yang

Abstract readCase Reports
In one paragraph

Article in Pathologica, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Yang Liu *Department of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Luting Zhou *Department of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Xianwei YangDepartment of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Jing XieDepartment of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Fei YuanDepartment of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Haimin XuDepartment of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Chaofu WangDepartment of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Xiaoqun YangDepartment of Pathology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eosinophilic vacuolated tumor (EVT) is an emerging renal entity and further studies are required to characterize this neoplasm. EVT is considered generally indolent because metastasis or death from the disease has never been reported. Herein, we report the first case of EVT with mediastinal lymph node metastasis to validate its at least borderline behavior. Based on the morphological features, we additionally used a large panel of immunohistochemical antibodies and next-generation sequencing (NGS) to confirm the diagnosis of EVT and exclude other renal entities. This case report highlights the notion that EVT can exhibit mediastinal lymph node metastasis and patients with EVT need to be closely followed.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsBiomarkers, TumorHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryLymphatic MetastasisBiomarkers, Tumoreosinophilic vacuolated tumor

Identifiers

PMID40474716
PMCPMC12142300

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.