Digitalis for treatment of congestive heart failure in patients in sinus rhythm
Bibliographic record
Abstract
BACKGROUND: Digitalis glycosides have been in clinical use in the treatment of congestive heart failure for more than 200 years. In recent years several trials have been conducted to address concerns about efficacy and toxicity. Although a systematic review of the literature was recently published, an update is required to include more current trials. OBJECTIVES: To examine the effectiveness of digitalis glycosides in treating congestive heart failure in patients with normal sinus rhythm. To examine the effect of digitalis in patients taking diuretics, ACE inhibitors, and beta blockers; patients with varying severity and duration of disease; patients with prior exposure to digitalis vs. no prior exposure; and patients with diastolic vs. systolic dysfunction. SEARCH STRATEGY: Electronic databases were searched between 1966 and 2000. Dissertation Abstracts and annual meeting abstracts of the American Heart Association, American College of Cardiology, and European Society of Cardiology were searched from 1996-2000. In addition, reference lists provided by the pharmaceutical industry (Glaxo Wellcome Inc.) were searched. SELECTION CRITERIA: Included were randomized placebo-controlled trials of 20 or more adult patients of either sex with symptomatic congestive heart failure who were studied for seven weeks or more. Excluded were trials in which the prevalence of atrial fibrillation was 2% or greater, or in which any arrhythmia that might compromise cardiac function or any potentially reversible cause of heart failure such as acute ischemic heart disease or myocarditis was present. DATA COLLECTION AND ANALYSIS: Articles selected from the searches described above were reviewed by one of the coauthors, and validated by staff from the central office of the Heart Collaborative Review Group in Bristol, UK. MAIN RESULTS: Eleven articles meeting the defined criteria were identified, and major endpoints of mortality, hospitalization, and clinical status, based respectively upon on 8, 4, and 10 of these selected studies, were recorded and analyzed. The data show that there is no difference in mortality between treatment and control groups, whereas digitalis therapy is associated with a lower rate of hospitalization and of clinical deterioration. REVIEWER'S CONCLUSIONS: The literature indicates that digitalis has a useful role in the treatment of patients with congestive heart failure who are in normal sinus rhythm.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.024 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".