Trial reportIndian heart journal
A multicentre retrospective study to understand anti-platelet treatment patterns and outcomes of acute coronary syndrome patients in India (TRACE).
Trial report in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 4 citations in OpenAlex.
- Clinical Decision Pathway for the Use of Fondaparinux in the Management of Acute Coronary Syndrome (ACS) in Hospitals with and Without Catheter Laboratories: An Expert Opinion from India.Cardiology and therapy · 2023Review
- Fondaparinux: A cornerstone drug in acute coronary syndromes.World journal of cardiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is limited available information for treatment of acute coronary syndrome (ACS) with respect to outcomes, therapeutic agents and treatment practices. Our retrospective registry study collected and evaluated varying anti-platelet treatment strategies and outcomes of ACS patients who were admitted to 9 different tertiary care hospitals in India. This study was carried out to provide an insight to anti-platelet treatment patterns and analyze outcomes of ACS patients in India.
methodsAll the relevant data, including anti-platelet treatment strategies, outcomes and patient treatment compliance were collected from 500 ACS (defined as STEMI, NSTEMI and unstable angina [UA]) cases from January 2007 to December 2009. These ACS cases were randomly collected from the hospital records and included in the analysis. The patient follow up data was acquired either from the hospital records or via telephonic contact for a period of one year following the event.
resultsOut of 500 ACS patients, 59.8% had UA/NSTEMI and 40.2% had STEMI. On hospital admission, aspirin, clopidogrel, statins, beta-blockers and angiotensin converting enzyme inhibitors (ACE-Is) were used by 83%, 83%, 68%, 43.2% and 31.6% patients, respectively. On discharge, aspirin, clopidogrel, statins and beta-blockers were used by 90.2%, 88%, 80.6%, and 59% patients, respectively. The average patient compliance to statins, clopidogrel and aspirin was recorded as 74.28%, 69.7% and 68.66%, respectively during discharge and follow-up visits. Greater than 50% of ACS patients after discharge were lost to follow-up and as a result there was significant drop in the number of clinical events reported.
conclusionThis pilot study conducted in tertiary care centers in India showed that patients with ACS were more often diagnosed with UA/NSTEMI as compared to STEMI and reported maximum compliance to statins, clopidogrel and aspirin after discharge over 1 year follow-up. More ACS patients were lost to follow up that resulted in low reporting of clinical outcomes, following discharge upto 1 year.
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What OpenQuestion holds
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.