Evidence map›Paper›PMID 35273943›Full record

Trial reportFrontiers in public health2022

Development and Validation of a Competitive Risk Model in Elderly Patients With Chromophobe Cell Renal Carcinoma: A Population-Based Study.

Jinkui Wang, Chenghao Zhanghuang, Xiaojun Tan, Tao Mi, Jiayan Liu, Liming Jin, Mujie Li, Zhaoxia Zhang, Dawei He

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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, 13 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Development and Validation of a Competitive Risk Model in Elderly Patients with Transitional Cell Bladder Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  6. Article
  7. Article
  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

9 authors at 3 institutions in 1 country.

Jinkui WangDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Chenghao ZhanghuangDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Xiaojun TanDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Tao MiDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Jiayan LiuDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Liming JinDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Mujie LiDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Zhaoxia ZhangDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Dawei HeDepartment of Urology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Chongqing Medical University · CNChildren's Hospital of Chongqing Medical University · CNChina International Science and Technology Cooperation · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Renal cell carcinoma (RCC) is the most common renal malignancy in adults, and chromophobe renal cell carcinoma (chRCC) is the third most common subtype of RCC. We aimed to construct a competitive risk model to predict cancer-specific survival (CSS) in elderly patients with chRCC. Methods: The clinicopathological information of the patients was downloaded from the SEER database, and the patients were randomly divided into the training and validation cohorts. Patients' risk factors for cancer-specific death (CSM) were analyzed using proportional subdistribution hazard (SH). We constructed a competitive risk model to predict the CSS of elderly chRCC patients. Consistency index (C-index), the area under receiver operating curve (AUC), and a calibration curve were used to validate the model's accuracy. Decision curve analysis (DCA) was used to test the clinical value of the model. Results: A total of 3,522 elderly patients with chRCC were included in the analysis. Patients were randomly assigned to either the training cohort ( Conclusions: We constructed a competitive risk model to predict CSS in elderly patients with chRCC. The model has good accuracy and reliability, which can help doctors and patients to make clinical decisions and follow-up strategies.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsAdultAgedFemaleHumansMaleNomogramsPrognosisReproducibility of ResultsSEER Programchromophobe cell renal carcinomacompetitive risk modelelderlynomogramSEER

Identifiers

PMID35273943
PMCPMC8902051
OpenAlexW4212785421

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.