Evidence map›Paper›PMID 38376430›Full record

ArticleAging2024

Development and validation of a nomogram for predicting the impact of tumor size on cancer-specific survival of locally advanced renal cell carcinoma: a SEER-based study.

Junjie Bai, Qing Lu, Yahui Wen, Tong Shangguan, Yushi Ye, Jun Lin, Rong Liu, Weizhong Cai, Jianhui Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aging, 2024. 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
–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

1 citing paper in PubMed.

  1. Trends in Stage-Specific Kidney Cancer Incidence in Kazakhstan, 2005-2019.Asian Pacific journal of cancer prevention : APJCP · 2024
    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.

Junjie BaiDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Qing LuDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Yahui WenThe Graduate School of Fujian Medical University, Fuzhou, China.
Tong ShangguanDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Yushi YeDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Jun LinDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Rong LiuDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Weizhong CaiDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.
Jianhui ChenDepartment of Urology, Fujian Medical University Union Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was aimed to integrate tumor size with other prognostic factors into a prognostic nomogram to predict cancer-specific survival (CSS) in locally advanced (≥pT3a Nany M0) renal cell carcinoma (RCC) patients. Based on the Surveillance, Epidemiology, and End Results (SEER) database, 10,800 patients diagnosed with locally advanced RCC were collected. They were randomly divided into a training cohort (

Indexed as

Carcinoma, Renal CellKidney NeoplasmsNeoplasms, Second PrimaryAgedDatabases, FactualHumansMultivariate AnalysisNeoplasm StagingNomogramsPrognosislocally advanced renal cell carcinomanomogramprognosissurveillance, epidemiology, and end results (SEER)survival analysis

Identifiers

PMID38376430
PMCPMC10929802

What OpenQuestion holds

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LicenceCC BY
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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.