Evidence map›Paper›PMID 33612101›Full record

SynthesisLipids in health and disease2021

A meta-analysis of HDL cholesterol efflux capacity and concentration in patients with rheumatoid arthritis.

Binbin Xie, Jiang He, Yong Liu, Ting Liu, Chaoqun Liu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Lipids in health and disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Dysfunctional high-density lipoprotein in chronic inflammatory rheumatic diseases.Therapeutic advances in musculoskeletal disease · 2023
    Article
  12. 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

5 authors at 3 institutions in 1 country.

Binbin Xie *Department of Nutrition, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, China.
Jiang He *Department of Mathematics and Physics, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Yong Liu *Department of Laboratory Medicine, Hospital of Stomatology, Anhui Medical University, Hefei, 230032, Anhui Province, China.
Ting LiuDepartment of Nutrition, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, China.
Chaoqun LiuDepartment of Nutrition, School of Medicine, Jinan University, Guangzhou, 510632, Guangdong, China. chaoqunliu@jnu.edu.cn.ORCID http://orcid.org/0000-0001-8322-3290
Jinan University · CNAnhui Medical University · CNSouthern Medical University · CN

Funding

Fundamental Research Funds for the Central Universities NO. 2018030310412Jinan University No. 21617352Medical Science and Technology Foundation of Guangdong Province No. A2018342National Natural Science Foundation of China No.81903294Natural Science Foundation of Guangdong Province NO. 2018030310412
6 · The paper itself

Abstract

backgroundPoor cholesterol efflux capacity (CEC) has been proposed to be an independent risk factor for cardiovascular diseases. However, current evidence is inconsistent, especially in rheumatoid arthritis (RA) patients. This meta-analysis aims to identify whether CEC is impaired or altered by drug therapy in RA.

methodsThe PubMed/MEDLINE, Embase, Cochrane Library and ClinicalTrials.gov databases were browsed to identify studies on CEC in RA patients. The searches mainly focused on studies in human subjects that were published before November 14, 2020, without any language restrictions. The effect size was pooled by the standardized mean differences and mean differences (SMD & MD) as well as the corresponding 95% confidence intervals (CIs) in a random or fixed effect model. Heterogeneity across the studies was tested using Cochran's Q test and I

resultsA total of 11 eligible articles, including 6 observational and 5 interventional studies, were retrieved. The pooled results showed that in patients with RA, CEC was not significantly different than in healthy controls (SMD: -0.34, 95% CI: - 0.83 to 0.14), whereas the plasma HDL-C levels was significantly lower (MD: -3.91, 95% CI: - 7.15 to - 0.68). Furthermore, in the before-after studies, the CEC of RA patients (SMD: 0.20, 95% CI: 0.02 to 0.37) increased, but the plasma HDL-C levels (MD: 3.63, 95% CI: - 0.13 to 7.39) remained at a comparable quantity after anti-rheumatic treatment comparing with the baseline. In addition, the funnel plot of included studies displayed a lightly asymmetry, while Egger's and Begg's test did not suggest the existence of publication bias. The quality of evidence was rated according to GRADE as moderate to very low.

conclusionThe current meta-analysis demonstrated that HDL-mediated CEC can be improved by the early control of inflammation and anti-rheumatic treatment in RA patients, which is independent of the plasma HDL-C levels. However, the results should be interpreted with caution because of low-quality and limited quantity of evidence. Future randomized controlled trials are needed to determine whether therapeutic strategies to enhance CEC in RA patients have beneficial effects for preventing CVD.

Indexed as

Heart Disease Risk FactorsAdultAgedArthritis, RheumatoidCardiovascular DiseasesCholesterolCholesterol, HDLFemaleHumansMaleMiddle AgedCholesterolCholesterol, HDLCholesterol efflux capacityHigh-density lipoproteinMeta-analysisRheumatoid arthritis

Identifiers

PMID33612101
PMCPMC7897392
OpenAlexW3129497732

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.