Evidence map›Paper›PMID 39482813›Full record

ArticleThe International journal of artificial organs2024

Correlation between circulating dephosphorylated uncarboxylated matrix Gla protein and vascular calcification in peritoneal dialysis patients.

Liman Mao, Haole Huang, Meiyang Zhou, Canxin Zhou

Abstract read
In one paragraph

Article in The International journal of artificial organs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

4 authors.

Liman MaoDepartment of Nephrology, The Affiliated People's Hospital, Ningbo University, Zhejiang, China.
Haole HuangDepartment of Nephrology, The Affiliated People's Hospital, Ningbo University, Zhejiang, China.
Meiyang ZhouDepartment of Nephrology, The Affiliated People's Hospital, Ningbo University, Zhejiang, China.
Canxin ZhouDepartment of Nephrology, The Affiliated People's Hospital, Ningbo University, Zhejiang, China.ORCID 0000-0002-7804-2134

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo explore the association between serum Dephosphorylated uncarboxylated matrix Gla protein (dp-ucMGP) and abdominal aortic calcification (AAC) in peritoneal dialysis (PD) patients.

methodsA total 128 PD patients and 120 healthy controls were enrolled into the study. Serum dp-ucMGP was measured by enzyme-linked immunosorbent assay. Abdominal lateral plain radiography was used to evaluate the abdominal aortic calcification score (AACS). PD patients were divided into two groups according to the presence or absence of AAC. The relationships between dp-ucMGP levels and AACS were assessed by Spearman analysis and the value of dp-ucMGP in predicting AAC was evaluated by receiver operating characteristic (ROC).

resultsSerum dp-ucMGP in PD patients were significantly higher than controls (

conclusionSerum dp-ucMGP levels were positively associated with the AACS in PD patients. Higher serum dp-ucMGP level is independently associated with AAC in PD patients.

Indexed as

Aorta, AbdominalCalcium-Binding ProteinsExtracellular Matrix ProteinsMatrix Gla ProteinPeritoneal DialysisVascular CalcificationAdultAgedBiomarkersCase-Control StudiesFemaleHumansMaleMiddle AgedPhosphorylationROC CurveBiomarkersCalcium-Binding ProteinsExtracellular Matrix ProteinsMatrix Gla Proteinabdominal aortic calcificationdephosphorylated uncarboxylated matrix Gla proteinPeritoneal dialysisvascular calcification

Identifiers

PMID39482813
PMCPMC11613520

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.