Evidence map›Paper›PMID 30084224›Full record

Trial reportClinical cardiology2018

Prescription of statins at discharge and 1-year risk of major clinical outcomes among acute coronary syndromes patients with extremely low LDL-cholesterol in clinical pathways for acute coronary syndromes studies.

Yihong Sun, Gaoqiang Xie, Anushka Patel, Shenshen Li, Wei Zhao, Xingzi Yang, Tao Wu, Min Li, Xian Li, Xin Du and 5 more

Open access · bronzeAbstract readClinical Trial, Phase IIClinical Trial, Phase IIIMulticenter Study
In one paragraph

Trial report in Clinical cardiology, 2018. 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
0.5field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  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

15 authors at 5 institutions in 2 countries.

Yihong SunChina-Japan Friendship Hospital, Beijing, China.ORCID http://orcid.org/0000-0001-7812-9793
Gaoqiang XiePeking University Clinical Research Institute, Beijing, China.
Anushka PatelThe George Institute for Global Health, University of Sydney, Sydney, Australia.
Shenshen LiThe George Institute for Global Health at Peking University Health Science Center (PUHSC), Beijing, China.
Wei ZhaoPeking University Third Hospital, Beijing, China.
Xingzi YangPeking University Clinical Research Institute, Beijing, China.ORCID http://orcid.org/0000-0002-7262-8580
Tao WuThe George Institute for Global Health at Peking University Health Science Center (PUHSC), Beijing, China.
Min LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing, China.
Xian LiThe George Institute for Global Health at Peking University Health Science Center (PUHSC), Beijing, China.
Xin DuBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Rong HuBeijing Anzhen Hospital, Capital Medical University, Beijing, China.
Yong HuoPeking University First Hospital, Beijing, China.
Dayi HuPeking University People's Hospital, Beijing, China.
Run Ling GaoCardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yangfeng WuPeking University Clinical Research Institute, Beijing, China.
Peking University · CNCapital Medical University · CNChina-Japan Friendship Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNThe University of Sydney · AU

Funding

George Institute for Global Health at Peking University Health Science CenterSanofiThe George Institute for Global Health at Peking University Health Science Center
6 · The paper itself

Abstract

objectiveThe aim of this study was to investigate statin description on discharge and the benefit on the long-term outcomes in acute coronary syndromes (ACS) patients with very low baseline LDL-cholesterol (LDL-c).

methodsThis is a post-hoc analysis of 3374 ACS patients who were discharged alive and had baseline LDL-c levels below 70 mg/dL (1.8 mmol/L). The propensity score of using statin was estimated with a multivariable Logistic model including patient's demography, social economic status, cardiovascular risk factors, subtype of the diagnosis, and treatments received during hospitalization and current LDL-c level. The risk of major adverse cardiovascular events (MACEs) was compared between patients received and not-received statin with Cox-regression models adjusting for the propensity score plus other factors. A sensitivity analysis was done in propensity score matched patients.

resultsCompared with nonstatin group, the incidence of MACE at 12 months after discharge was lower in the statin group (11.1% vs 5.8%; P < 0.001). The propensity score plus other factors-adjusted hazard ratios for MACEs was significant (0.58; 95% CI: 0.39, 0.87). The effect showed a significant dose-response relationship (P for trend = 0.02). The results in analyses with propensity-score matched participants were in consistent with above findings. Analyses on total mortality in 12 months showed similar results.

conclusionsAmong ACS survivors with a very low baseline LDL-c, low to moderate intensity statin therapy was associated significantly with lower risk of MACEs and total mortality at 12 months. The results suggested that ACS survivors should take statin regardless of the baseline of LDL-c.

Indexed as

Patient DischargeAcute Coronary SyndromeAgedBiomarkersChinaCholesterol, LDLDrug PrescriptionsFemaleFollow-Up StudiesHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedPrognosisRetrospective StudiesSurvival RateBiomarkersCholesterol, LDLHydroxymethylglutaryl-CoA Reductase InhibitorsACS patientscohort studymajor adverse cardiovascular eventsstatinvery low baseline LDL-c

Identifiers

PMID30084224
PMCPMC6489930
OpenAlexW2887032743

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.