Trial reportAmerican heart journal2010
Differences in mortality in acute coronary syndrome symptom clusters.
Trial report in American heart journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- Pooled it
- Symptom Clusters in Adults With Chronic Atrial Fibrillation.The Journal of cardiovascular nursingTrial
- Association of Symptoms and Mode of Transportation to Emergency Department in Patients With Acute Coronary Syndrome.Dimensions of critical care nursing : DCCNTrial
- Symptom phenotyping in people with cystic fibrosis during acute pulmonary exacerbations using machine-learning K-means clustering analysis.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2024Article
- Characteristics and predictors of persistent somatic symptoms in patients with cardiac disease.Scientific reports · 2024Article
- Symptom clusters and unplanned hospital readmission in Chinese patients with acute myocardial infarction on admission.Frontiers in cardiovascular medicine · 2024Article
- Acute Coronary Syndrome Symptom Clusters: Illustration of Results Using Multiple Statistical Methods.Western journal of nursing research · 2019Article
- Atrial fibrillation symptom clusters and associated clinical characteristics and outcomes: A cross-sectional secondary data analysis.European journal of cardiovascular nursing · 2018Article
- Cluster Analysis in Nursing Research: An Introduction, Historical Perspective, and Future Directions.Western journal of nursing research · 2018Article
- Key Enabling Technologies for Point-of-Care Diagnostics.Sensors (Basel, Switzerland) · 2018Review
- Symptom clusters and treatment time delay in Korean patients with ST-elevation myocardial infarction on admission.Medicine · 2018Observational
- Sex differences in presenting symptoms of acute coronary syndrome: the EPIHeart cohort study.BMJ open · 2018Article
- DiapHRaGM: A mnemonic to describe the work of breathing in patients with respiratory failure.PloS one · 2017Article
- Midlife women's symptom cluster heuristics: evaluation of an iPad application for data collection.Menopause (New York, N.Y.) · 2015Article
- Symptom cluster, healthcare use and mortality in patients with severe chronic obstructive pulmonary disease.Journal of clinical nursing · 2014Article
- Symptom experience during acute coronary syndrome and the development of posttraumatic stress symptoms.Journal of behavioral medicine · 2012Article
- Atypical symptom cluster predicts a higher mortality in patients with first-time acute myocardial infarction.Korean circulation journal · 2012Article
- Spontaneous spinal epidural hematomas associated with acute myocardial infarction treatment.Korean circulation journal · 2011Article
- Multivariate modeling to identify patterns in clinical data: the example of chest pain.BMC medical research methodology · 2011Article
- Symptom clusters in patients presenting to the emergency department with possible acute coronary syndrome differ by sex, age, and discharge diagnosis.Heart & lung : the journal of critical careArticle
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 8 institutions in 2 countries.
Funding
Abstract
backgroundThe timely and accurate identification of symptoms of acute coronary syndrome (ACS) is a challenge for patients and clinicians. It is unknown whether response times and clinical outcomes differ with specific symptoms. We sought to identify which ACS symptoms are related-symptom clusters-and to determine if sample characteristics, response times, and outcomes differ among symptom cluster groups.
methodsIn a multisite randomized clinical trial, 3522 patients with known cardiovascular disease were followed up for 2 years. During follow-up, 331 (11%) had a confirmed ACS event. In this group, 8 presenting symptoms were analyzed using cluster analysis. Differences in symptom cluster group characteristics, delay times, and outcomes were examined.
resultsThe sample was predominantly male (67%), older (mean 67.8, S.D. 11.6 years), and white (90%). Four symptom clusters were identified: Classic ACS characterized by chest pain; Pain Symptoms (neck, throat, jaw, back, shoulder, arm pain); Stress Symptoms (shortness of breath, sweating, nausea, indigestion, dread, anxiety); and Diffuse Symptoms, with a low frequency of most symptoms. Those in the Diffuse Symptoms cluster tended to be older (P = .08) and the Pain Symptoms group was most likely to have a history of angina (P = .01). After adjusting for differences, the Diffuse Symptoms cluster demonstrated higher mortality at 2 years (17%) than the other 3 clusters (2%-5%, P < .001), although prehospital delay time did not differ significantly.
conclusionMost ACS symptoms occur in groups or clusters. Uncharacteristic symptom patterns may delay diagnosis and treatment by clinicians even when patients seek care rapidly. Knowledge of common symptom patterns may facilitate rapid identification of ACS.
Indexed as
Identifiers
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.