Evidence map›Paper›PMID 28444976›Full record

Observational studyClinical cardiology2017

Association of lipoprotein(a) with long-term mortality following coronary angiography or percutaneous coronary intervention.

Zhe Feng, Hua-Long Li, Wei-Jie Bei, Xiao-Sheng Guo, Kun Wang, Shi-Xin Yi, De-Mou Luo, Xi-da Li, Shi-Qun Chen, Peng Ran and 5 more

Abstract readObservational Study
In one paragraph

Observational study in Clinical cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  9. Tackling cardiometabolic risk in the Asia Pacific region.American journal of preventive cardiology · 2020
    Review
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  11. Observational
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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

15 authors.

Zhe FengDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Hua-Long LiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Wei-Jie BeiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Xiao-Sheng GuoDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Kun WangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Shi-Xin YiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
De-Mou LuoDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Xi-da LiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Shi-Qun ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Peng RanDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Peng-Yuan ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Sheikh Mohammed Shariful IslamThe George Institute for Global Health (Islam), University of Sydney, Camperdown, New South Wales, Australia.
Ji-Yan ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Yong LiuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
Ying-Ling ZhouDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Key Laboratory of Coronary Disease, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.ORCID http://orcid.org/0000-0002-8960-8076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is no consistent evidence to suggest the association of plasma lipoprotein(a) (Lp[a]) with long-term mortality in patients undergoing coronary angiography (CAG) or percutaneous coronary intervention (PCI). HYPOTHESIS: Level of Lp(a) is associated with long-term mortality following CAG or PCI.

methodsWe enrolled 1684 patients with plasma Lp(a) data undergoing CAG or PCI between April 2009 and December 2013. The patients were divided into 2 groups: a low-Lp(a) group (Lp[a] <16.0 mg/dL; n = 842) and a high-Lp(a) group (Lp[a] ≥16.0 mg/dL; n = 842).

resultsIn-hospital mortality was not significantly different between the high and low Lp(a) groups (0.8% vs 0.5%, respectively; P = 0.364). During the median follow-up period of 1.95 years, the high-Lp(a) group had a higher long-term mortality than did the low-Lp(a) group (5.8% vs 2.5%, respectively; P = 0.003). After adjustment of confounders, multivariate Cox regression analysis revealed that a higher Lp(a) level was an independent predictor of long-term mortality (hazard ratio: 1.96, 95% confidence interval: 1.07-3.59, P = 0.029).

conclusionsOur data suggested that an elevated Lp(a) level was significantly associated with long-term mortality following CAG or PCI. However, additional larger multicenter studies will be required to investigate the predictive value of Lp(a) levels and evaluate the benefit of controlling Lp(a) levels for patients undergoing CAG or PCI.

Indexed as

Coronary AngiographyPercutaneous Coronary InterventionAgedBiomarkersChi-Square DistributionCoronary Artery DiseaseFemaleHospital MortalityHumansKaplan-Meier EstimateLipoprotein(a)MaleMiddle AgedMultivariate AnalysisPredictive Value of TestsProportional Hazards ModelsBiomarkersLipoprotein(a)Coronary AngiographyLipoprotein(a)MortalityPercutaneous Coronary Intervention

Identifiers

PMID28444976
PMCPMC6490416

What OpenQuestion holds

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Registered trials

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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.