ReviewPharmacoEconomics1999
Under-utilisation of beta-blockers after acute myocardial infarction. Pharmacoeconomic implications.
Review in PharmacoEconomics, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Article
- The frequency and nature of medication errors in hospitalized patients with acute coronary syndrome.International journal of clinical pharmacy · 2017Observational
- Patterns of change in nesiritide use in patients with heart failure: how hospitals react to new information.JACC. Heart failure · 2013Article
- Changes in rates of beta-blocker use in community hospital patients with acute myocardial infarction.Journal of general internal medicine · 2004Article
- Optimising drug utilisation in long term care.PharmacoEconomics · 2002Article
- Pharmacoeconomic considerations in assessing and selecting congestive heart failure therapies.PharmacoEconomics · 2002Review
- Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We reviewed the literature on the efficacy and effectiveness of beta-blocker therapy and examined the economic consequences of under-utilisation. Despite the literature documenting the value of beta-blockers, the therapy is not prescribed at the appropriate rates. Approximately half of acute myocardial infarction (AMI) survivors who are eligible for the therapy do not receive it. There are 3 sources of costs that may arise from such under-utilisation: (i) increased morbidity and mortality associated with under-use; (ii) increased demand for related medical resources when the health state following an AMI is suboptimal due to under-use of beta-blocker therapy; and (iii) increased cost due to substitution of higher cost and/or less effective treatments for beta-blockers. For the first category, there is evidence suggesting that around 2900 to 5000 lives are lost in the US in the first year following an AMI due to underprescription. There is very little evidence on the second category of costs; 1 recent study does address this issue and indicates that beta-blocker therapy can lead to a 22% relative risk reduction for hospital readmission during the first year. Several studies also show a decrease in reinfarction. There is no information that addresses the third category of costs adequately (though 1 study does present evidence of substitution of calcium channel-blockers for beta-blockers). We conclude that there is a dearth of evidence on the economic consequences of the under-utilisation of beta-blocker therapy. What does exist suggests that the net costs to society may be substantial.
Indexed as
Identifiers
10537433What 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.