Evidence map›Paper›PMID 30946354›Full record

Observational studyMedicine2019

PCSK9 positively correlates with plasma sdLDL in community-dwelling population but not in diabetic participants after confounder adjustment.

Yan Liu, Xiaona Wang, Jie Han, Lu Liu, Ying Jin, Liyuan Jin, Ping Ye

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 2019. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Yan LiuDepartment of Geriatric Cardiology, Chinese PLA General Hospital.
Xiaona WangDepartment of Geriatric Cardiology, Chinese PLA General Hospital.
Jie HanDepartment of Cardiology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an.
Lu LiuDepartment of Geriatric Cardiology, Chinese PLA General Hospital.
Ying JinDepartment of Geriatric Cardiology, Chinese PLA General Hospital.
Liyuan JinDepartment of Geriatric Cardiology, Chinese PLA General Hospital.
Ping YeDepartment of Geriatric Cardiology, Chinese PLA General Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the relationship between plasma proprotein convertase subtilisin kexin 9 (PCSK9) and small dense low-density lipoprptein (sdLDL) in diabetic and non-diabetic participants in a community-dwelling cohort.The plasma levels of PCSK9 and sdLDL were detected in 1766 participants (median age: 61.40 years; 733 males vs 1033 females; 383 diabetic vs 1383 non-diabetic patients) from the Pingguoyuan community of Beijing, China.Results showed that Pearson correlation analysis revealed a positive correlation between PCSK9 and sdLDL (r = 0.263, P < .001). Multiple linear regression analysis showed a significant positive correlation between plasma PCSK9 and sdLDL in the whole population study. sdLDL was used as the dependent variable, and the potential cofounders were adjusted. However, any independent relationship was not observed between circulating PCSK9 and sdLDL in the diabetic subpopulation (r = 0.269, P < .05, β = 9.591, P > .05).Thus, there is a positive correlation between plasma PCSK9 and sdLDL in a community-dwelling cohort, but not in type 2 diabetic subpopulation, after confounder adjustment.

Indexed as

AgedCholesterol, LDLCohort StudiesConfounding Factors, EpidemiologicDiabetes Mellitus, Type 2Enzyme-Linked Immunosorbent AssayFemaleHumansIndependent LivingMaleMiddle AgedProprotein Convertase 9Regression AnalysisSurveys and QuestionnairesCholesterol, LDLPCSK9 protein, humanProprotein Convertase 9

Identifiers

PMID30946354
PMCPMC6456037

What OpenQuestion holds

Texttitle and abstract
LicenceCC BY-NC-ND
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.