Evidence map›Paper›PMID 40837356›Full record

ArticleJournal of medical biochemistry2025

Complement pathway: Risk molecular pattern of cardiovascular diseases in patients with diabetic nephropathy.

JunFei Liu, XiaoPing Qian, TaoXia Wang, XiaoLi Liu, WeiGang Liu, LiJie Wang, HuiFang Zhang, Li Han, GuiYing Li, XiaoJuan Yu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of medical biochemistry, 2025. 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. 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

10 authors.

JunFei LiuAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
XiaoPing QianAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
TaoXia WangAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
XiaoLi LiuAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
WeiGang LiuAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
LiJie WangAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
HuiFang ZhangAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
Li HanAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
GuiYing LiAffiliated Hospital of Hebei University of Engineering, Department of Nephrology, The Key Laboratory of Basic Research on Blood Purification Application in Hebei Province, Handan City, Hebei Province, China.
XiaoJuan YuAffiliated Hospital of Hebei University of Engineering, Department of Nutrition, Handan City, Hebei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Among individuals with diabetes mellitus, diabetic nephropathy (DN) is a common microvascular complication. As renal dysfunction progresses in DN patients, the risk of cardiovascular disease (CVD) significantly increases. The current effective treatment of DN and CVD demands identifying and managing their risk factors. Methods: Patients diagnosed with DN from October 2022 to October 2023 were selected for cross-sectional study and divided into DN group (n=58) and DN/CVD group (n=40) based on the presence of CVD. Univariate analysis was conducted using clinical data, and statistically significant independent variables were analysed through multivariate Logistic regression to identify independent factors influencing CVD in DN patients. A regression model was developed to examine the non-linear relationship between C1q, UA, CRP, and the risk of CVD. The receiver operating characteristic curve was used to analyse the predictive efficacy of the indicators. Results: When elevated, UA and C1q were independent factors for CVD. A linear relationship existed between UA and C1q and the risk of CVD in DN patients. C1q showed better predictive performance. Conclusions: As UA and C1q levels rise, the risk of CVD in DN patients significantly increases. In DN patients, UA and C1q are associated with CVD development and progression, offering some supportive evaluation value for the patient's condition.

Indexed as

cardiovascular eventscomplement pathwaycomplicationsdiabetic nephropathy

Identifiers

PMID40837356
PMCPMC12363369

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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 OpenQuestion graph.