Evidence map›Paper›PMID 35883502›Full record

ArticleBiomolecules2022

Triglycerides as Biomarker for Predicting Systemic Lupus Erythematosus Related Kidney Injury of Negative Proteinuria.

Mingjun Si, Danyang Li, Ting Liu, Yuanyan Cai, Jingyu Yang, Lili Jiang, Haitao Yu

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 7 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Mingjun SiThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Danyang LiThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.ORCID 0000-0002-3626-5807
Ting LiuThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Yuanyan CaiThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Jingyu YangThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Lili JiangSchool of Material Science and Technology, Lanzhou University of Technology, Lanzhou 730000, China.
Haitao YuThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.ORCID 0000-0003-1087-4556
Lanzhou University · CNFirst Hospital of Lanzhou University · CNLanzhou University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fewer biomarkers can be used to predict systemic lupus erythematosus (SLE) related kidney injury. This paper presents an apriori algorithm of association rules to mine the predictive biomarkers for SLE-related kidney injury of negative proteinuria. An apriori algorithm of association rules was employed to identify biomarkers, and logistic regression analysis and spearman correlation analysis were used to evaluate the correlation between triglycerides and SLE-related kidney injury of negative proteinuria. Triglycerides were mined out by the apriori algorithm of association rules. The level of triglycerides was significantly higher, and it was an independent risk factor for SLE-related kidney injury. In the high-triglycerides group, the number of patients with SLE-related kidney injury, SLEDAI-2K, urine P-CAST, the level of blood urea nitrogen, serum creatinine, and proteinuria were increased. Triglycerides level was positively correlated with proteinuria and P-CAST and negatively correlated with albumin and IgG. The area under the ROC curve of triglycerides and triglycerides combined proteinuria was 0.72 and 0.82, respectively. Significantly, 50% of SLE-related kidney injuries of negative proteinuria could be identified by high triglycerides levels. High triglycerides level was found at the time of onset of kidney injury, and it was opposite to glomerular filtration rate. Triglycerides may be a potential marker for predicting SLE-related kidney injury, especially in SLE-related kidney injury of negative proteinuria. Triglycerides combined proteinuria could predict SLE-related kidney injury effectively.

Indexed as

Lupus Erythematosus, SystemicBiomarkersHumansKidneyProteinuriaTriglyceridesBiomarkersTriglyceridesapriori algorithmassociation rule miningkidney injurysystemic lupus erythematosustriglycerides

Identifiers

PMID35883502
PMCPMC9312825
OpenAlexW4284713636

What OpenQuestion 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 OpenQuestion graph.