Evidence map›Paper›PMID 25940032›Full record

ArticleInternational urology and nephrology2015

Angiomyolipoma being surgically excised for presumed kidney carcinoma.

Weibin Hou, He Xiao, Guanghua Liu, Zhigang Ji

Erratum issuedAbstract read
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In one paragraph

Article in International urology and nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Weibin HouDepartment of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 1#, Shuaifuyuan, Dongcheng District, Beijing, 100730, People's Republic of China.
He Xiao
Guanghua Liu
Zhigang Ji
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the important factors involved in angiomyolipoma (AML) being preoperatively misclassified and surgically removed for presumed kidney carcinoma. MATERIALS AND

methodsFrom 2008 to 2014, AML was pathologically confirmed in 38 patients who underwent radical or partial nephrectomy for presumed malignant renal tumor. Control group 1 were patients with renal cell carcinoma (RCC) matched for age and tumor size; control group 2 were patients with typical AML matched for age and sex. Pertinent data of the studied group and its matched control groups were recorded and analyzed.

resultsThe mean age of the patients in study group was 48.11 ± 12.92 years, and the mean tumor size was 3.12 ± 1.68 cm (range 0.9-9.4). More than 84 % of the misclassified AMLs measured ≤4 cm, and over 21 % patients underwent radical nephrectomy. The only statistically significant feature between the misdiagnosed AML group and the matched RCC group is mean age (48.11 ± 12.92 vs. 56.92 ± 10.28, P = 0.002). Compared with the matched typical AML group, the misdiagnosed AML group has smaller mean tumor size (3.12 ± 1.68 vs. 5.85 ± 3.33, P < 0.001), but more patients undergoing radical nephrectomy (21.05 vs. 0 %, P = 0.003). Two main imaging features, which are hypoechoic on ultrasonography and fat density on computed tomography (CT), were statistically different between the two groups. The misdiagnosis of AML was significantly associated with no fat density on CT (OR 5.528, P = 0.004) and hypoechoic on ultrasonography (OR 3.845, P = 0.017).

conclusionsA number of AMLs were misdiagnosed as RCCs, causing a large number of unnecessary surgeries. No fat density on CT and no hyperechoic on ultrasonography resulting from small tumor size were the two most important factors causing AML being excised for presumed kidney carcinoma. Ultrasonography and CT cannot differentiate atypical AML from kidney carcinoma effectively, so improved renal biopsy and noninvasive biomarkers are urgently warranted to prevent us from excising benign renal tumor aggressively.

Indexed as

AngiomyolipomaCarcinoma, Renal CellKidneyKidney NeoplasmsNephrectomyAdipose TissueAdultChinaDiagnosis, DifferentialDiagnostic ErrorsFemaleHumansMaleMiddle AgedOutcome Assessment, Health CareRetrospective Studies

Identifiers

PMID25940032
OpenAlexW815236246

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Registered trials

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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.