Evidence map›Paper›PMID 32814979›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2021

2-[

Yanyan Zhao, Caixia Wu, Wei Li, Xueqi Chen, Ziao Li, Xuhe Liao, Yonggang Cui, Guangyu Zhao, Meng Liu, Zhanli Fu

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.3field-weighted citation impact, top 9% 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

32 citing papers in PubMed, 44 citations in OpenAlex.

  1. [European journal of nuclear medicine and molecular imaging · 2026
    Trial
  2. Trial
  3. Trial
  4. Diagnostic efficacy of [European journal of nuclear medicine and molecular imaging · 2024
    Trial
  5. Review
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  7. Diagnostics (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Role ofJapanese journal of radiology · 2025
    Review
  10. Review
  11. Diagnostic and prognostic role ofEJNMMI research · 2025
    Article
  12. Comparative analysis of metabolic characteristics and prognostic stratification of HER2-low and HER2-zero breast cancer usingCancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Head-to-head comparison of [European journal of nuclear medicine and molecular imaging · 2023
    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

10 authors at 2 institutions in 1 country.

Yanyan Zhao *Department of Nuclear Medicine, Peking University First Hospital, Beijing, China.
Caixia Wu *Department of Nuclear Medicine, Peking University First Hospital, Beijing, China.
Wei Li *Department of Nuclear Medicine, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xueqi ChenDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, China.
Ziao LiDepartment of Urology, Peking University First Hospital, Beijing, China.
Xuhe LiaoDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, China.
Yonggang CuiDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, China.
Guangyu ZhaoDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, China.
Meng LiuDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, China. louisa_liu@bjmu.edu.cn.ORCID 0000-0002-6960-3163
Zhanli FuDepartment of Nuclear Medicine, Peking University First Hospital, Beijing, China. fuzhanli2002@163.com.
Peking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Clinical Medicine Plus X Project of Peking University BMU2018MI010Clinical Medicine Plus X-Young Scholars Project of Peking University PKU2018LCXQ012Fundamental Research Funds for the Central Universities PKU2019LCXQ021Youth Clinical Research Project of Peking University First Hospital 2018CR14
6 · The paper itself

Abstract

purposeTo explore the potential parameters from preoperative 2-[

methodsOne hundred twenty-five patients with newly diagnosed ccRCC who underwent 2-[

resultsMetabolic parameters of primary tumor maximum standardized uptake value (SUVmax), tumor-to-liver SUV ratio (TLR), and tumor-to-kidney SUV ratio (TKR) were significantly different between any two of the four different WHO/ISUP grades, except those between the WHO/ISUP grade 3 and grade 4. The optimal cutoff values to predict high WHO/ISUP grade for SUVmax, TLR, and TKR were 4.15, 1.63, and 1.59, respectively. TLR (AUC: 0.841) was superior to TKR (AUC: 0.810) in distinguishing high and low WHO/ISUP grades (P = 0.0042). In univariate analysis, SUVmax, TLR, TKR, primary tumor size, tumor thrombus, distant metastases, and clinical symptoms could discriminate between the high and low WHO/ISUP grades (P < 0.05). In multivariate analysis, TLR (P < 0.001; OR: 1.732; 95%CI: 1.289-2.328) and tumor thrombus (P < 0.001; OR: 6.199; 95%CI: 2.499-15.375) were significant factors for differentiating WHO/ISUP grades.

conclusionElevated TLR (> 1.63) and presence of tumor thrombus from preoperative 2-[

Indexed as

Carcinoma, Renal CellKidney NeoplasmsFluorodeoxyglucose F18HumansPositron Emission Tomography Computed TomographyRetrospective StudiesWorld Health OrganizationFluorodeoxyglucose F182-[18F]FDG PET/CTClear cell renal cell carcinoma (ccRCC)Tumor thrombusTumor-to-liver standardized uptake value ratio (TLR)World Health Organization/the International Society of Urological Pathology (WHO/ISUP) grade

Identifiers

PMID32814979
OpenAlexW3061490611

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.