Evidence map›Paper›PMID 39682220›Full record

ReviewCancers2024

The Current State of the Diagnoses and Treatments for Clear Cell Renal Cell Carcinoma.

Anthony E Quinn, Scott D Bell, Austin J Marrah, Mark R Wakefield, Yujiang Fang

Abstract readReview
In one paragraph

Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Oncology research · 2026
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. [Clinicopathological and prognostic differences between clear cell and non-clear cell renal cell carcinoma with venous tumor thrombus].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
    Article
  16. Article
  17. Article
  18. Review
  19. 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

5 authors.

Anthony E QuinnDepartment of Microbiology, Immunology & Pathology, Des Moines University, West Des Moines, IA 50266, USA.ORCID 0000-0003-3668-4566
Scott D BellDepartment of Microbiology, Immunology & Pathology, Des Moines University, West Des Moines, IA 50266, USA.ORCID 0009-0000-1443-1512
Austin J MarrahDepartment of Surgery, University of Missouri School of Medicine, Columbia, MO 65212, USA.
Mark R WakefieldDepartment of Surgery, University of Missouri School of Medicine, Columbia, MO 65212, USA.ORCID 0000-0003-2598-7895
Yujiang FangDepartment of Microbiology, Immunology & Pathology, Des Moines University, West Des Moines, IA 50266, USA.

Funding

Des Moines University IOER 112-3749
6 · The paper itself

Abstract

Clear cell renal cell carcinoma is the most common form of kidney cancer, accounting for 75% of malignant kidney tumors, and is generally associated with poor patient outcomes. With risk factors including smoking, obesity, and hypertension, all of which have a high prevalence in the United States and Europe, as well as genetic factors including tuberous sclerosis complex and Von Hippel-Lindau syndrome, there is an increasing need to expand our present understanding. The current clear cell renal cell carcinoma knowledge is outdated, with obsolete diagnostic criteria and moderately invasive surgical treatments still prevailing, partially ascribed to its resistance to chemotherapy and radiation therapy. The standard of treatment relies on surgical intervention, including radical nephrectomy and partial nephrectomy, while more recent treatments target neoplastic growth pathways and immune regulation checkpoints.

Indexed as

clear cell renal cell carcinomakidney cancer epidemiologykidney cancer treatment

Identifiers

PMID39682220
PMCPMC11640273

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.