Evidence map›Paper›PMID 40657251›Full record

ArticleFrontiers in oncology2025

Renal dysfunction as a predictor of recurrence and prognosis in colorectal cancer.

Xuekang Ren, Shaogong Zhu, Rongzhen Li, Yunzhan Xia

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Xuekang RenDepartment of General Surgery, The Fifth Clinical Medical College of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China.
Shaogong ZhuDepartment of General Surgery, The Fifth Clinical Medical College of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China.
Rongzhen LiDepartment of General Surgery, The Fifth Clinical Medical College of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China.
Yunzhan XiaDepartment of General Surgery, The Fifth Clinical Medical College of Henan University of Traditional Chinese Medicine, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study explores the relationship between eGFR and recurrence and prognosis in patients with colorectal cancer (CRC). Methods: Patients first diagnosed with CRC at Zhengzhou People's Hospital between 2018 and 2021 with a median follow-up of 715 days were studied. Demographics, disease characteristics, kidney function were collected. Associations between eGFR and clinical prognosis were assessed using multivariate Cox proportional hazards regression models. The impact of eGFR on the recurrence was evaluated by logistic and Poisson regression models. Odds ratios are reported for associations between eGFR and recurrence and prognosis. Stratified analyses and restricted cubic splines (RCS) were used to evaluate the results between subgroups and nonlinear relation between eGFR and the prognosis and recurrence of patients with CRC. Results: 93 CRC patients completed the study. Poor renal filtration function and impaired urine concentrating ability were found in CRC patients. Multivariate analysis showed that eGFR was an independent predictor of clinical prognosis (eGFR < 90 mL/min OR=4.248, 95% CI [1.061-17.003], Conclusions: CRC patients exhibited kidney dysfunction, and eGFR is identified as an independent predictor of disease recurrence and prognosis.

Indexed as

clinical prognosiscolorectal cancerEGFRkidney functionrecurrence

Identifiers

PMID40657251
PMCPMC12245686

What Socratic holds

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LicenceCC BY
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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 Socratic graph.