The Edmonton Symptom Assessment Scale in Heart Failure: A Systematic Review.
Bibliographic record
Abstract
Background Heart failure is a troublesome condition with high healthcare utilization and cost. Most individuals with heart failure experience multiple symptoms including breathlessness, pain, depression, and anxiety. Purpose The aim of this study was to review the literature describing the use of the Edmonton Symptom Assessment Scale to assess the burden of symptoms and the impact of symptoms on heart failure outcomes including quality of life and functional outcomes. Methods The search engines PubMed, Scopus, CINAHL, and Web of Science were searched from January 2001 to March 2020. A review of literature was undertaken using key terms "heart failure," "CHF," "cardiac failure," "heart decompensation," "myocardial failure," "Edmonton Symptom Assessment Scale". Hand searching of articles was also undertaken. Results The search resulted in 33 relevant articles, which were imported into Rayyan, a Web-based systematic review software program. We present synthesis of results of studies (1) using the Edmonton Symptom Assessment Scale as an assessment of symptom burden and (2) evaluating the impact of symptom burden on quality of life and functional status. Conclusion This review highlighted the Edmonton Symptom Assessment Scale as a predictive instrument to identify symptom burden, symptom clusters, and symptom changes for patients living with heart failure. The clinical use of the Edmonton Symptom Assessment Scale may identify treatment priorities, promote self-management, inform the treatment plan, and advance effective therapeutic adjustments. The symptom burden in heart failure is high, and improving the symptom experience is an important focus of future healthcare interventions. The Edmonton Symptom Assessment Scale has utility in heart failure management due to psychometric properties and ease of administration. Clinical implications The Edmonton Symptom Assessment Scale may be useful in measuring patient-reported symptom burden in patients with heart failure in the clinical setting because it correlates well with other heart failure measures on quality of life and functional outcomes and provides useful information on symptom burden.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".