Evidence map›Paper›PMID 35083534›Full record

ReviewJournal of medical ultrasonics (2001)2022

Ultrasonography findings for the diagnosis of renal oncocytoma.

Shengnan Zhao, Jiahong Shi, Ran Yang, Xiujuan Zhang, Wei Zhao, Zhixia Sun

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of medical ultrasonics (2001), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Shengnan ZhaoDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin Province, China.
Jiahong ShiDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin Province, China.
Ran YangDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin Province, China.
Xiujuan ZhangDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin Province, China.
Wei ZhaoDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin Province, China.
Zhixia SunDepartment of Ultrasound, China-Japan Union Hospital of Jilin University, No. 126 Xiantai Street, Changchun, 130033, Jilin Province, China. sunzx@jlu.edu.cn.
Jilin University · CNUnion Hospital · CN

Funding

the Provincial Bureau Project of Jilin 2019SCZ020
6 · The paper itself

Abstract

Renal oncocytomas are rare benign epithelial tumors of the kidney. However, they are easily misdiagnosed as renal cancers, resulting in unnecessary radical nephrectomy. This review summarizes the use of ultrasound for the diagnosis of renal oncocytomas. On two-dimensional grayscale ultrasound, renal oncocytomas appear as solid, well-defined, round or oval, and relatively isoechoic or slightly hyperechoic masses. On color Doppler flow imaging, the "spoke-wheel" sign is evident. On power Doppler flow imaging, renal oncocytomas show mixed penetrating and peripheral patterns. Renal oncocytomas usually appear as highly enhanced on contrast-enhanced ultrasound images, and irregular nonenhanced areas in larger tumors. This review will help sonographers recognize renal oncocytomas.

Indexed as

Adenoma, OxyphilicKidney NeoplasmsDiagnosis, DifferentialFemaleHumansMaleUltrasonographyUltrasonography, Doppler, ColorContrast-enhanced ultrasoundDoppler flow imagingRenal oncocytomaTwo-dimensional grayscale ultrasoundUltrasound-guided biopsy

Identifiers

PMID35083534
OpenAlexW4210368826

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.