Evidence map›Paper›PMID 26206158›Full record

Observational studyClinical cardiology2015

Rationale, Design, and Baseline Characteristics of the EPICOR Asia Study (Long-tErm follow-uP of antithrombotic management patterns In Acute CORonary Syndrome patients in Asia).

Yong Huo, Stephen W-L Lee, Jitendra P S Sawhney, Hyo-Soo Kim, Rungroj Krittayaphong, Vo T Nhan, Angeles Alonso-Garcia, Ya Ling Han, Junbo Ge, Chee Tang Chin and 5 more

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Clinical cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01361386 (Long-Term Follow-up of Antithrombotic Management Patterns in Acute Coronary Syndrome Patients in Asia), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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.

NCT01361386 completednot on this map

Long-Term Follow-up of Antithrombotic Management Patterns in Acute Coronary Syndrome Patients in Asia

TypeobservationalSponsorAstraZenecaRan2011 to 2014Enrolled13,011ConditionsAcute Coronary Syndrome
3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Observational
  7. Observational
  8. Observational
  9. Article
  10. Observational
  11. Observational
  12. Article
  13. Observational
  14. Article
  15. Article
  16. Observational
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.

Yong HuoDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Stephen W-L LeeDepartment of Medicine, Queen Mary Hospital, Hong Kong SAR, China.
Jitendra P S SawhneyDepartment of Cardiology, Sir Ganga Ram Hospital, New Delhi, India.
Hyo-Soo KimClinical Research Institute, Seoul National University Hospital, Seoul, Korea.
Rungroj KrittayaphongDepartment of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Vo T NhanDepartment of Medicine, Cho Ray Hospital, Ho Chi Minh City, Vietnam.
Angeles Alonso-GarciaCardiovascular Science Research Centre, St. George's University of London, London, United Kingdom.
Ya Ling HanDepartment of Cardiology, Shenyang Northern Hospital, Shenyang, China.
Junbo GeDepartment of Cardiology, Zhongshan Hospital, Shanghai, China.
Chee Tang ChinDepartment of Cardiology, National Heart Centre Singapore, Singapore and Duke-NUS Graduate Medical School, Singapore.
Tiong K OngDepartment of Cardiology, Sarawak General Hospital, Kuching, Malaysia.
Stephen JanHealth Economics Program, The George Institute for Global Health, University of Sydney, Sydney, Australia.
Yohji ItohClinical Science Division, AstraZeneca, Osaka, Japan.
Ana Maria VegaObservational Research Centre, Global Medical Affairs, AstraZeneca, Madrid, Spain.
Stuart PocockDepartment of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn-hospital and postdischarge mortality for acute coronary syndromes (ACS) vary across Asia and remain generally poorer than globally. The relationship between real-life antithrombotic management patterns (AMPs) and ACS-related outcomes in Asia is unclear.

methodsEPICOR Asia (Long-tErm follow-uP of antithrombotic management patterns In acute CORonary syndrome patients in Asia) (NCT01361386) is a prospective, multinational, observational study of patients discharged after hospitalization for an ACS, with 2-year follow-up. The aim is to describe short- and long-term (up to 2 years post-index event) AMPs in patients hospitalized for ACS and to record clinical outcomes, healthcare resource use, and self-reported health status. Pre- and in-hospital management, AMPs, and associated outcomes, with particular focus on ischemic and bleeding events, will be recorded during the 2-year follow up.

resultsBetween June 2011 and May 2012, 13 005 patients were enrolled. From these, 12 922 patients surviving an ACS (6616 with STEMI, 2570 with NSTEMI, and 3736 with UA) were eligible for inclusion from 219 hospitals across 8 countries and regions in Asia: China (n = 8214), Hong Kong (n = 177), India (n = 2468), Malaysia (n = 100), Singapore (n = 93), South Korea (n = 705), Thailand (n = 957), and Vietnam (n = 208).

conclusionsEPICOR Asia will provide information regarding clinical management and AMPs for ACS patients in Asia. Impact of AMPs on clinical outcomes, healthcare resource use, and self-reported health status both during hospitalization and up to 2 years after discharge will also be described.

Indexed as

Acute Coronary SyndromeAgedAngina, UnstableAnticoagulantsAsiaClinical ProtocolsDrug Therapy, CombinationFemaleFibrinolytic AgentsFollow-Up StudiesHealth ResourcesHealth StatusHemorrhageHumansMaleMiddle AgedAnticoagulantsFibrinolytic AgentsPlatelet Aggregation Inhibitors

Identifiers

PMID26206158
PMCPMC6490857

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Registered trials

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.