Evidence map›Paper›PMID 32013705›Full record

ArticleJournal of the American Heart Association2020

Predicting Cardiovascular Outcomes by Baseline Lipoprotein(a) Concentrations: A Large Cohort and Long-Term Follow-up Study on Real-World Patients Receiving Percutaneous Coronary Intervention.

Hui-Hui Liu, Ye-Xuan Cao, Jing-Lu Jin, Hui-Wen Zhang, Qi Hua, Yan-Fang Li, Yuan-Lin Guo, Cheng-Gang Zhu, Na-Qiong Wu, Rui-Xia Xu and 2 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
9.4field-weighted citation impact, top 1% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 107 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 4 institutions in 1 country.

Hui-Hui LiuDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Ye-Xuan CaoDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Jing-Lu JinDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Hui-Wen ZhangDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Qi HuaDepartment of Cardiology XuanWu Hospital Capital Medical University Beijing China.
Yan-Fang LiDepartment of Cardiology Beijing AnZhen Hospital Capital Medical University Beijing 100037 China.
Yuan-Lin GuoDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Cheng-Gang ZhuDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Na-Qiong WuDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Rui-Xia XuDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Xie-Hui ChenDepartment of Geriatrics Cardiovascular Medicine FuWai Hospital Chinese Academy of Medical Sciences China.
Jian-Jun LiDepartment of Cardiology State Key Laboratory of Cardiovascular Disease FuWai Hospital National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNFu Wai Hospital · CNCapital Medical University · CNBeijing Anzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Although several studies have indicated that lipoprotein(a) is a useful prognostic predictor for patients following percutaneous coronary intervention (PCI), previous observations have somewhat been limited by either small sample size or short-term follow-up. Hence, this study aimed to evaluate the impact of lipoprotein(a) on long-term outcomes in a large cohort of stable coronary artery disease patients after PCI. Methods and Results In this multicenter and prospective study, we consecutively enrolled 4078 stable coronary artery disease patients undergoing PCI from March 2011 to March 2016. They were categorized according to both the median of lipoprotein(a) levels and lipoprotein(a) values of <15 (low), 15 to 30 (medium), and ≥30 mg/dL (high). All patients were followed up for occurrence of cardiovascular events, including cardiovascular death, nonfatal myocardial infarction, and stroke. During an average of 4.9 years of follow-up, 315 (7.7%) cardiovascular events occurred. The events group had significantly higher lipoprotein(a) levels than the nonevents group. Compared with the low lipoprotein(a) group, Kaplan-Meier analysis showed that the high lipoprotein(a) group had a significantly lower cumulative event-free survival rate, and multivariate Cox regression analysis further revealed that the high lipoprotein(a) group had significantly increased cardiovascular events risk. Moreover, adding continuous or categorical lipoprotein(a) to the Cox model led to a significant improvement in C-statistic, net reclassification, and integrated discrimination. Conclusions With a large sample size and long-term follow-up, our data confirmed that high lipoprotein(a) levels could be associated with a poor prognosis after PCI in stable coronary artery disease patients, suggesting that lipoprotein(a) measurements may be useful for patient risk stratification before selective PCI.

Indexed as

Percutaneous Coronary InterventionAgedBiomarkersChinaCoronary Artery DiseaseFemaleFollow-Up StudiesHumansLipoprotein(a)MaleMiddle AgedPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsTime FactorsBiomarkersLipoprotein(a)LPA protein, humancardiovascular eventscoronary artery diseaselipoprotein(a)percutaneous coronary intervention

Identifiers

PMID32013705
PMCPMC7033882
OpenAlexW3003887025

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.