Trial reportAmerican heart journal2012
Risk stratification in acute heart failure: rationale and design of the STRATIFY and DECIDE studies.
Trial report in American heart journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Design and Rationale of a Randomized Trial of a Care Transition Strategy in Patients With Acute Heart Failure Discharged From the Emergency Department: GUIDED-HF (Get With the Guidelines in Emergency Department Patients With Heart Failure).Circulation. Heart failure · 2017Trial
- Galectin-1 Is a Marker but Not a Mediator of Heart Failure With Preserved Ejection Fraction.Hypertension (Dallas, Tex. : 1979) · 2026Article
- Article
- Study protocol for the design, implementation, and evaluation of the STRATIFY clinical decision support tool for emergency department disposition of patients with heart failure.Implementation science communications · 2025Article
- "I worry we'll blow right by it:" Barriers to Uptake of the STRATIFY-CDS for Acute Heart Failure.Applied clinical informatics · 2025Article
- Utility of shock index to predict mortality risk in decompensated heart failure.Journal of the colleges of medicine of South Africa · 2025Article
- Chest Pain Risk Stratification in the Emergency Department: Current Perspectives.Open access emergency medicine : OAEM · 2024Review
- Prognostic Value of Shock Index, Modified Shock Index, and Age-Adjusted Derivatives in Prediction of In-Hospital Mortality in Patients with Acute Decompensated Heart Failure: Persian Registry of Cardiovascular Disease/ Heart Failure Study.Anatolian journal of cardiology · 2022Article
- Accelerating Biomarker Discovery Through Electronic Health Records, Automated Biobanking, and Proteomics.Journal of the American College of Cardiology · 2019Article
- Markers of diuretic resistance in emergency department patients with acute heart failure.International journal of emergency medicine · 2017Article
- Plasma bioactive adrenomedullin as a prognostic biomarker in acute heart failure.The American journal of emergency medicine · 2016Article
- Examining Characteristics of Hospitalizations in Heart Failure Patients: Results from the 2009 All-payer Data.Journal of family medicine and disease prevention · 2016Article
- Identification of Emergency Department Patients With Acute Heart Failure at Low Risk for 30-Day Adverse Events: The STRATIFY Decision Tool.JACC. Heart failure · 2015Observational
- Challenges in acute heart failure clinical management: optimizing care despite incomplete evidence and imperfect drugs.Critical pathways in cardiology · 2015Review
- Early management of patients with acute heart failure: state of the art and future directions--a consensus document from the SAEM/HFSA acute heart failure working group.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2015Review
- Early management of patients with acute heart failure: state of the art and future directions. A consensus document from the society for academic emergency medicine/heart failure society of America acute heart failure working group.Journal of cardiac failure · 2015Review
- The burden of acute heart failure on U.S. emergency departments.JACC. Heart failure · 2014Article
- Initial management of patients with acute heart failure.Heart failure clinics · 2013Review
- Acute Heart Failure in the Emergency Department: Respiratory Rate as a Risk Predictor.In vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
backgroundA critical challenge for physicians facing patients presenting with signs and symptoms of acute heart failure (AHF) is how and where to best manage them. Currently, most patients evaluated for AHF are admitted to the hospital, yet not all warrant inpatient care. Up to 50% of admissions could be potentially avoided and many admitted patients could be discharged after a short period of observation and treatment. Methods for identifying patients that can be sent home early are lacking. Improving the physician's ability to identify and safely manage low-risk patients is essential to avoiding unnecessary use of hospital beds.
methodsTwo studies (STRATIFY and DECIDE) have been funded by the National Heart Lung and Blood Institute with the goal of developing prediction rules to facilitate early decision making in AHF. Using prospectively gathered evaluation and treatment data from the acute setting (STRATIFY) and early inpatient stay (DECIDE), rules will be generated to predict risk for death and serious complications. Subsequent studies will be designed to test the external validity, utility, generalizability and cost-effectiveness of these prediction rules in different acute care environments representing racially and socioeconomically diverse patient populations.
resultsA major innovation is prediction of 5-day as well as 30-day outcomes, overcoming the limitation that 30-day outcomes are highly dependent on unpredictable, post-visit patient and provider behavior. A novel aspect of the proposed project is the use of a comprehensive cardiology review to correctly assign post-treatment outcomes to the acute presentation.
conclusionsFinally, a rigorous analysis plan has been developed to construct the prediction rules that will maximally extract both the statistical and clinical properties of every data element. Upon completion of this study we will subsequently externally test the prediction rules in a heterogeneous patient cohort.
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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.