Evidence map›Paper›PMID 32144457›Full record

ArticleEuropean radiology2020

Clear cell renal cell carcinoma: the value of sex-specific abdominal visceral fat measured on CT for prediction of Fuhrman nuclear grade.

Zexuan Hu, Jialiang Wu, Shengsheng Lai, Yikai Xu, Jie Zhan, Ran Li, Xilong Liu, Ningning Wang, Xinhua Wei, Xinqing Jiang and 1 more

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Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-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

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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

17 citing papers in PubMed, 20 citations in OpenAlex.

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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

11 authors at 7 institutions in 1 country.

Zexuan HuDepartment of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China.
Jialiang WuDepartment of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China.
Shengsheng LaiDepartment of Medical Devices, Guangdong Food and Drug Vocational College, Guangzhou, 510520, Guangdong, China.
Yikai XuDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Jie ZhanDepartment of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
Ran LiDepartment of Radiology, Army Medical Center of PLA, Army Medical University, Chongqing, 400042, China.
Xilong LiuDepartment of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Ningning WangSchool of Public Health, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China.
Xinhua WeiDepartment of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China.
Xinqing JiangDepartment of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China.
Ruimeng YangDepartment of Radiology, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, 510180, Guangdong, China. eyruimengyang@scut.edu.cn.ORCID http://orcid.org/0000-0003-2768-9429
Guangzhou First People's Hospital · CNNanfang Hospital · CNArmy Medical University · CNFirst Affiliated Hospital of Guangzhou Medical University · CNGuangdong Food and Drug Vocational College · CNGuangzhou Medical University · CNNanchang University · CN

Funding

Fundamental Research Funds for the Central Universities 2018MS23Guangdong Province Medical Scientific Research Foundation A2019465National Natural Science Foundation of China 81971574Natural Science Foundation of Guangdong Province 2018A030313282Research Grant of Guangdong Food and Drug Vocational College 2018ZR019
6 · The paper itself

Abstract

objectiveTo explore whether sex-specific abdominal visceral fat composition on CT can predict the Fuhrman nuclear grade of clear cell renal cell carcinoma (ccRCC).

methodsOne hundred seventy-one patients (123 males and 48 females) from four hospitals (multicentre group) and 159 patients (109 males and 50 females) from the cancer imaging archive (TCIA-KIRC group) with pathologically proven ccRCC (multicentre: 124 low grade and 47 high grade; TCIA-KIRC: 79 low grade and 80 high grade) were retrospectively included. Abdominal fat was segmented into subcutaneous fat area (SFA) and visceral fat area (VFA) on CT using ImageJ. The total fat area (TFA) and relative VFA (rVFA) were then calculated. Clinical characteristics (age, sex, waist circumference and maximum tumour diameter) were also assessed. Univariate and multivariate logistic regression analyses were performed to identify the association between general or sex-specific visceral fat composition and Fuhrman grade.

resultsFemales with high-grade ccRCC from the multicentre group had a higher rVFA (42.4 vs 31.3, p = 0.001) than those with low-grade ccRCC after adjusting for age. There was no significant difference in males. The rVFA remained a stable and independent predictor for females high-grade ccRCC in both the univariate (multicentre: OR 1.205, 95% CI 1.074-1.352, p = 0.001; TCIA-KIRC: OR 1.171, 95% CI 1.016-1.349, p = 0.029) and multivariate (multicentre: OR 1.095, 95% CI 1.024-1.170, p = 0.003; TCIA-KIRC: OR 1.103, 95% CI 1.024-1.187, p = 0.010) models.

conclusionsSex-specific visceral fat composition has different values for predicting high-grade ccRCC and could be used as an independent predictor for females with high-grade ccRCC. KEY POINTS: • Visceral fat measurement (rVFA) as an independent predictor for high-grade ccRCC had good predictive power in females, but not in males. • Sex-specific visceral fat composition was significantly associated with high-grade ccRCC in females only. • The rVFA could be considered one of the risk factors for high-grade ccRCC for females.

Indexed as

Carcinoma, Renal CellFemaleHumansIntra-Abdominal FatKidney NeoplasmsMaleMiddle AgedRetrospective StudiesRisk FactorsSex FactorsTomography, X-Ray ComputedCarcinoma, renal cellNeoplasm gradingObesity, abdominalPathologyTomography, X-ray computed

Identifiers

PMID32144457
OpenAlexW3009120761

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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.