Evidence map›Paper›PMID 32280690›Full record

ArticleBioMed research international2020

Alteration of Angiopoietin-Like Protein 4 Levels in Serum or Urine Correlate with Different Biochemical Markers in Hyperlipidemia-Related Proteinuria.

Xia Gao, Min Zhang, Weidong Feng, Zichuan Xu, Yan Wang, Lingna Shi, Jing Zhang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
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 2 institutions in 1 country.

Xia GaoNephrology Department, Guangzhou Women and Children's Medical Center, Guangzhou City 510623, China.ORCID https://orcid.org/0000-0003-4412-5166
Min ZhangGraduate School, Ningxia Medical University, Yinchuan City 750000, China.
Weidong FengGraduate School, Ningxia Medical University, Yinchuan City 750000, China.
Zichuan XuNephrology Department, Guangzhou Women and Children's Medical Center, Guangzhou City 510623, China.
Yan WangGraduate School, Ningxia Medical University, Yinchuan City 750000, China.
Lingna ShiGraduate School, Ningxia Medical University, Yinchuan City 750000, China.
Jing ZhangGraduate School, Ningxia Medical University, Yinchuan City 750000, China.
Ningxia Medical University · CNGuangzhou Women and Children Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angiopoietin-like protein 4 (ANGPTL4) is widely known as a key regulator of lipid metabolism. We investigated the relationship between ANGPTL4 expression in serum or urine and blood lipid or urine protein levels of patients with hyperlipidemia- (HL-) related proteinuria. Sixty-eight patients with HL-related proteinuria (HL-Pro group), 68 patients with HL without proteinuria (HL-NPro group), 46 patients with non-HL-related proteinuria (NHL-Pro group), and 50 healthy control (Con) subjects were selected. There were no significant differences in serum ANGPTL4 levels between the Con group (36.82 ± 17.03 ng/ml) and the HL-Pro group (27.94 (18.90, 53.72) ng/ml). Additionally, the serum ANGPTL4 levels in the HL-Pro group were significantly lower than those in the HL-NPro group (53.32 ± 24.01 ng/ml) (

Indexed as

AdultAgedAngiopoietin-Like Protein 4BiomarkersCase-Control StudiesFemaleHumansHyperlipidemiasLipid MetabolismLipidsMaleMiddle AgedProteinuriaYoung AdultAngiopoietin-Like Protein 4ANGPTL4 protein, humanBiomarkersLipids

Identifiers

PMID32280690
PMCPMC7125447
OpenAlexW3012631141

What OpenQuestion holds

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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.