Evidence map›Paper›PMID 36684269›Full record

ArticleFrontiers in surgery2022

A nomogram for predicting cancer-specific survival and overall survival in elderly patients with nonmetastatic renal cell carcinoma.

Chenghao Zhanghuang, Jinkui Wang, Zhaoxia Zhang, Zhigang Yao, Fengming Ji, Li Li, Yucheng Xie, Zhen Yang, Haoyu Tang, Kun Zhang and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

12 authors at 4 institutions in 1 country.

Chenghao ZhanghuangDepartment of Urology, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, China.
Jinkui WangDepartment of Urology, Chongqing Key Laboratory of Children Urogenital Development and Tissue Engineering, Chongqing Key Laboratory of Pediatrics, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Zhaoxia ZhangDepartment of Urology, Chongqing Key Laboratory of Children Urogenital Development and Tissue Engineering, Chongqing Key Laboratory of Pediatrics, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, China International Science and Technology Cooperation Base of Child Development and Critical Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Zhigang YaoDepartment of Urology, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, China.
Fengming JiDepartment of Urology, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, China.
Li LiYunnan Key Laboratory of Children's Major Disease Research, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Kunming, China.
Yucheng XieDepartment of Pathology, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Kunming, China.
Zhen YangDepartment of Oncology, Yunnan Children Solid Tumor Treatment Center, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Kunming, China.
Haoyu TangDepartment of Urology, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, China.
Kun ZhangDepartment of Urology, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, China.
Chengchuang WuDepartment of Urology, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, China.
Bing YanDepartment of Urology, Kunming Children's Hospital, Children's Hospital Affiliated to Kunming Medical University, Yunnan Province Clinical Research Center for Children's Health and Disease, Kunming, China.
Kunming Medical University · CNKunming Children's Hospital · CNChongqing Medical University · CNChildren's Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Renal cell carcinoma (RCC) is a common malignant tumor in the elderly, with an increasing trend in recent years. We aimed to construct a nomogram of cancer-specific survival (CSS) and overall survival (OS) in elderly patients with nonmetastatic renal cell carcinoma (nmRCC). Methods: Clinicopathological information was downloaded from the Surveillance, Epidemiology, and End Results (SEER) program in elderly patients with nmRCC from 2010 to 2015. All patients were randomly assigned to a training cohort (70%) or a validation cohort (30%). Univariate and multivariate Cox regression analyses were used to identify independent risk factors for patient outcomes in the training cohort. A nomogram was constructed based on these independent risk factors to predict the 1-, 3-, and 5-year CSS and OS in elderly patients with nmRCC. We used a range of methods to validate the accuracy and reliability of the model, including the calibration curve, consistency index (C-index), and the area under the receiver operating curve (AUC). Decision curve analysis (DCA) was used to test the clinical utility of the model. Results: A total of 12,116 patients were enrolled in the study. Patients were randomly assigned to the training cohort ( Conclusions: We built a nomogram prediction model to predict the 1-, 3- and 5-year CSS and OS of elderly nmRCC patients. This model has good accuracy and discrimination and can help doctors and patients make clinical decisions and active monitoring.

Indexed as

cancer-specific survivalelderly patientsnomogramnonmetastatic renal cell carcinomaoverall survivalSEER

Identifiers

PMID36684269
PMCPMC9852727
OpenAlexW4313646141

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.