Evidence map›Paper›PMID 40084352›Full record

ArticleAmerican journal of cancer research2025

Evaluation of a tumor marker gastrin-releasing peptide precursor in the patients with kidney injuries.

Nan Duan, Zhihui Li, Zhiyan Li, Lu Pang, Jialin Du, Le Chang, Haiming Huang, Haixia Li

Abstract read
In one paragraph

Article in American journal of cancer research, 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

8 authors.

Nan DuanDepartment of Clinical Laboratory, Peking University First Hospital Beijing 100034, China.
Zhihui LiDepartment of Clinical Laboratory, Peking University First Hospital Beijing 100034, China.
Zhiyan LiDepartment of Clinical Laboratory, Peking University First Hospital Beijing 100034, China.
Lu PangDepartment of Clinical Laboratory, Peking University First Hospital Beijing 100034, China.
Jialin DuDepartment of Clinical Laboratory, Peking University First Hospital Beijing 100034, China.
Le ChangDepartment of Clinical Laboratory, Peking University First Hospital Beijing 100034, China.
Haiming HuangDepartment of Clinical Laboratory, Peking University First Hospital Beijing 100034, China.
Haixia LiDepartment of Clinical Laboratory, Peking University First Hospital Beijing 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrin-releasing peptide precursor (ProGRP) is a bioactive precursor of GRP and might play an important role as an emerging tumor marker in early cancer diagnosis. It might also be abnormal in the nonmalignant disease and renal function abnormalities. The present study was undertaken to investigate the changes of ProGRP levels in patients with kidney injuries, especially with chronic kidney disease (CKD), determine the upper reference intervals and clinical diagnostic value of ProGRP in CKD, and thus help oncologists in interpreting ProGRP levels and making clinical judgments of malignances. 676 individuals were enrolled in this cross-sectional study and divided into five groups: healthy control (n=194), CKD (n=272), nephrotic syndrome (NS) (n=137), antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) (n=41), and urinary tract infection (UTI) (n=32). A total of 27 features including age, gender, and 25 laboratory markers were analyzed. Machine learning algorithms were built for the diagnostic models of CKD. Statistical analysis was performed by R software. It was shown that serum ProGRP level in CKD was significantly higher than that in healthy controls, UTI and NS (

Indexed as

chronic kidney diseaseGastrin-releasing peptide precursormachine learning algorithmsnephrotic syndromeRandom Forest model

Identifiers

PMID40084352
PMCPMC11897619

What Socratic holds

Textmetadata
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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.