Evidence map›Paper›PMID 40933888›Full record

SynthesisFrontiers in oncology2025

Uncovering the research evolution and hotspots of metabolism in renal cell carcinoma over the last decade.

Yifan Liu, Junzhe He, Donghao Lyu, Xinyue Yang, Haoyu Zhang, Siqi Tu, Yuntao Yao, Maodong Wei, Yuanan Li, Zihui Zhao and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Yifan Liu *Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Junzhe He *Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Donghao Lyu *Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xinyue YangDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Haoyu ZhangDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Siqi TuDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuntao YaoDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Maodong WeiDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuanan LiDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Zihui ZhaoDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Runzhi HuangDepartment of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Bingnan LuDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao XuDepartment of Nursing, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiuwu PanDepartment of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The vital role metabolism plays in RCC, a global disease with huge disease burden, has been widely acknowledged. However, bibliometric analysis remains underexplored in the context of metabolism in RCC. Methods: The Web of Science database was adopted to obtain relevant publications for further bibliometric analysis of countries, institutions, authors, journals, publications, references and keywords. Literature reading and keyword co-occurrence analysis were employed to figure out major points and hotspots in this field. The analysis was conducted by biblioshiny based on Bibliometrix package in R version 4.3.2. Results: From 15 May 2015 to 15 May 2025, 3010 relevant publications were retrieved. China was the most productive country and USA was the country with the highest total citations. The most productive institution was "Harvard University". WANG Y published 46 publications with an H-index of 16. Core journals were identified with Bradford's law. Additionally, three major points and hotspots were identified and discussed through bibliometric analysis and targeted literature reading. Conclusion: Our research provided a reference for future basic and clinical research through summarizing past research findings, analyzing current research hotspots, and prospecting the future development of research. "Metabolic alterations in RCC", "Metabolic syndrome and RCC", "Microbiome and RCC" were major points and hot spots in this field. In the future, a broader metabolic map could be made and more researches concerning metabolism during RCC treatment and drug resistance might bring more clinical significance.

Indexed as

bibliometric analysismetabolic reprogrammingmetabolic syndromemetabolismmicrobiomeRCC

Identifiers

PMID40933888
PMCPMC12417187

What OpenQuestion holds

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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.