Evidence mapPaperPMID 36424111Full record

ArticleBMJ open2022

PCSK9 inhibitors for anti-inflammation in atherosclerosis: protocol for a systematic review and meta-analysis of randomised controlled trials.

Jichang Luo, Wanying Liao, Xue Wang, Ran Xu, Wei Li, Wenjing Li, Kan Liu, Kaixun Huang, Yan Ma, Tao Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 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
1.5field-weighted citation impact, top 17% 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, 8 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

12 authors at 5 institutions in 1 country.

Jichang LuoChina International Neuroscience Institute (China-INI), Beijing, China.
Wanying LiaoPeking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xue WangMedical Library, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ran XuChina International Neuroscience Institute (China-INI), Beijing, China.
Wei LiDepartment of Neurosurgery, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Wenjing LiNational Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences, Beijing, China.
Kan LiuFirst Hospital of Hunan University of Chinese Medicine, Changsha, Hunan Province, China.
Kaixun HuangThe Eighth Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Yan MaChina International Neuroscience Institute (China-INI), Beijing, China.
Tao WangChina International Neuroscience Institute (China-INI), Beijing, China.ORCID 0000-0003-1225-0173
Bin YangChina International Neuroscience Institute (China-INI), Beijing, China liqunjiao@sina.cn yangbin_81@163.com.
Liqun JiaoChina International Neuroscience Institute (China-INI), Beijing, China liqunjiao@sina.cn yangbin_81@163.com.ORCID 0000-0003-4982-6295
Capital Medical University · CNChinese Academy of Sciences · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFirst Affiliated Hospital of Hunan University of Traditional Chinese Medicine · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAtherosclerosis is the leading cause of cardiovascular disease (CVD), which is one of the most common causes of morbidity and mortality worldwide. Lipid accumulation and inflammation play a crucial role in the pathogenesis of atherosclerosis. Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors are an emerging lipid-lowering agent reported as a potential anti-inflammation effect in the prevention of CVD. However, the anti-inflammatory effect is still elusive. Therefore, a systematic review and meta-analysis is needed to analyse the anti-inflammatory effect of PCSK9 inhibitors on atherosclerosis in practice. METHODS AND ANALYSIS: This protocol was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols. We will include double-blind, randomised controlled trials that reported changes in the levels of inflammatory markers, with an intervention arm of PCSK9 inhibitors and a treatment duration of more than 2 weeks. The following databases will be mainly searched from 1 January 2003 to the formal search date: PubMed, Embase, Web of Science and the Cochrane Central Register of Controlled Trials. The primary aim is to assess the effect of PCSK9 inhibitors on inflammatory markers, including circulating inflammatory markers such as C-reactive protein, high-sensitivity C-reactive protein, white cell counts, IL-1β, IL-6 and TNF-α and local inflammatory markers such as the most diseased segment target-to-background ratio of the index vessel in adult patients with atherosclerosis. We will assess the quality of evidence, heterogeneity and report bias following the recommendations of the Cochrane Handbook for Systematic Reviews of Interventions. ETHICS AND DISSEMINATION: Due to the systematic review being based on published studies, no ethics approval is required. The study results will be presented at international conferences and published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42022297710.

Indexed as

AtherosclerosisCardiovascular DiseasesAdultAnti-Inflammatory AgentsBiomarkersC-Reactive ProteinHumansLipidsMeta-Analysis as TopicPCSK9 InhibitorsProprotein Convertase 9Randomized Controlled Trials as TopicSystematic Reviews as TopicAnti-Inflammatory AgentsBiomarkersC-Reactive ProteinLipidsPCSK9 InhibitorsPCSK9 protein, humanProprotein Convertase 9CLINICAL PHARMACOLOGYCoronary heart diseaseLipid disordersProtocols & guidelinesVASCULAR MEDICINE

Identifiers

PMID36424111
PMCPMC9693878
OpenAlexW4309912961

What Socratic holds

Texttitle and abstract
LicenceCC BY-NC
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 Socratic graph.