Evidence map›Paper›PMID 37367052›Full record

ReviewCurrent issues in molecular biology2023

Clinical Characteristics of Molecularly Defined Renal Cell Carcinomas.

Xinfeng Hu, Congzhu Tan, Guodong Zhu

Open access · goldAbstract readReview
In one paragraph

Review in Current issues in molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-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

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. 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

3 authors at 1 institution in 1 country.

Xinfeng HuDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Congzhu TanDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.
Guodong ZhuDepartment of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0002-4514-5479
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

The Fundamental Research Funds for the Central Universities of China xjj2018zyts34The Research Funds on Social Development from the Department of Science and Technology of Shaanxi Province of China 2020SF-119
6 · The paper itself

Abstract

Kidney tumors comprise a broad spectrum of different histopathological entities, with more than 0.4 million newly diagnosed cases each year, mostly in middle-aged and older men. Based on the description of the 2022 World Health Organization (WHO) classification of renal cell carcinoma (RCC), some new categories of tumor types have been added according to their specific molecular typing. However, studies on these types of RCC are still superficial, many types of these RCC currently lack accurate diagnostic standards in the clinic, and treatment protocols are largely consistent with the treatment guidelines for clear cell RCC (ccRCC), which might result in worse treatment outcomes for patients with these types of molecularly defined RCC. In this article, we conduct a narrative review of the literature published in the last 15 years on molecularly defined RCC. The purpose of this review is to summarize the clinical features and the current status of research on the detection and treatment of molecularly defined RCC.

Indexed as

clinicalmolecularpathologyrenal cell carcinomatreatment

Identifiers

PMID37367052
PMCPMC10297654
OpenAlexW4378903979

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.