Evidence map›Paper›PMID 26076586›Full record

Observational studyBMC cardiovascular disorders2015

Clinical indicators for recurrent cardiovascular events in acute coronary syndrome patients treated with statins under routine practice in Thailand: an observational study.

Dujrudee Chinwong, Jayanton Patumanond, Surarong Chinwong, Khanchai Siriwattana, Siriluck Gunaparn, John Joseph Hall, Arintaya Phrommintikul

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 4 institutions in 2 countries.

Dujrudee ChinwongDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand. dujrudee.c@cmu.ac.th.
Jayanton PatumanondCenter of Excellence in Applied Epidemiology, Faculty of Medicine, Thammasat University, Pathum Thani, Thailand. jpatumanond@gmail.com.
Surarong ChinwongDepartment of Pharmaceutical Care, Faculty of Pharmacy, Chiang Mai University, Chiang Mai, Thailand. surarong@gmail.com.
Khanchai SiriwattanaDivision of Medicine, Nakornping Hospital, Chiang Mai, Thailand. kancsiri@gmail.com.
Siriluck GunaparnDepartment of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand, 50200. sgunaparn@gmail.com.
John Joseph HallCentre for Clinical Epidemiology and Biostatistics, School of Medicine and Public Health, Faculty of Health, University of Newcastle, Callaghan, NSW, Australia. john.hall@newcastle.edu.au.
Arintaya PhrommintikulDepartment of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand, 50200. arintayap@gmail.com.
Chiang Mai University · THNakornping Hospital · THThammasat University · THUniversity of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute coronary syndrome (ACS) patients are at very high cardiovascular risk and tend to have recurrent cardiovascular events. The clinical indicators for subsequent cardiovascular events are limited and need further investigation. This study aimed to explore clinical indicators that were associated with recurrent cardiovascular events following index hospitalization.

methodsThe data of patients hospitalized with ACS at a tertiary care hospital in northern Thailand between January 2009 and December 2012 were retrospectively reviewed from medical charts and the electronic hospital database. The patients were classified into three groups based on the frequency of recurrent cardiovascular events (nonfatal ACS, nonfatal stroke, or all-cause death) they suffered: no recurrent events (0), single recurrent event (1), and multiple recurrent events (≥2). Ordinal logistic regression was performed to explore the clinical indicators for recurrent cardiovascular events.

resultsA total of 405 patients were included; 60 % were male; the average age was 64.9 ± 11.5 years; 40 % underwent coronary revascularization during admission. Overall, 359 (88.6 %) had no recurrent events, 36 (8.9 %) had a single recurrent event, and 10 (2.5 %) had multiple recurrent events. The significant clinical indicators associated with recurrent cardiovascular events were achieving an LDL-C goal of < 70 mg/dL (Adjusted OR = 0.43; 95 % CI = 0.27-0.69, p-value < 0.001), undergoing revascularization during admission (Adjusted OR = 0.44; 95 % CI = 0.24-0.81, p-value = 0.009), being male (Adjusted OR = 1.85; 95 % CI = 1.29-2.66, p-value = 0.001), and decrease estimated glomerular filtration rate (Adjusted OR = 2.46; 95 % CI = 2.21-2.75, p-value < 0.001).

conclusionThe routine clinical practice indicators assessed in ACS patients that were associated with recurrent cardiovascular events were that achieving the LDL-C goal and revascularization are protective factors, while being male and having decreased estimated glomerular filtration rate are risk factors for recurrent cardiovascular events. These clinical indicators should be used for routinely monitoring patients to prevent recurrent cardiovascular events in ACS patients.

Indexed as

Acute Coronary SyndromeAgedAngina, UnstableCause of DeathCohort StudiesFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsLogistic ModelsMaleMiddle AgedMortalityMyocardial InfarctionMyocardial RevascularizationRecurrenceRetrospective StudiesHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID26076586
PMCPMC4467053
OpenAlexW1512865803

What OpenQuestion holds

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LicenceCC BY
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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.