ReviewCurrent heart failure reports2014
Determinants of survival following hospitalization for acute heart failure.
Review in Current heart failure reports, 2014. 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, 8 citations in OpenAlex.
- Circulating miR-30d Predicts Survival in Patients with Acute Heart Failure.Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology · 2017Trial
- Predicting mortality in patients with acute heart failure: Role of risk scores.World journal of cardiology · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heart failure constitutes a major public health concern in the United States and is one of the leading causes of hospitalization, readmission, and death. Due to an aging U.S. population, it is estimated that the prevalence of heart failure will increase by 25% over the coming decades, affecting approximately 3.5% of the population by the year 2030. The ability to discriminate patients admitted with acute heart failure syndromes who are at increased risk for poor post-hospitalization outcomes is thus critical to guide therapeutic decision making for healthcare providers. This review paper will discuss clinical, hemodynamic, as well as biochemical markers that have been demonstrated to predict post-discharge outcomes among patients hospitalized with acute heart failure.
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.