Evidence map›Paper›PMID 23591268›Full record

ReviewNature reviews. Cardiology2013

Assessing cardiovascular drug safety for clinical decision-making.

Raymond L Woosley, Klaus Romero

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Risk factors for QTc-prolongation: systematic review of the evidence.International journal of clinical pharmacy · 2017
    Pooled it
  4. Generative Transformers for Pharmacovigilance Signal Detection using Electronic Health Records.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  5. Article
  6. [Proarrhythmic adverse effects of nonarrhythmic drugs].Herzschrittmachertherapie & Elektrophysiologie · 2019
    Review
  7. Review
  8. Article
  9. Observational
  10. Review
  11. Article
  12. A new experimentally validated formula to calculate the QT interval in the presence of left bundle branch block holds true in the clinical setting.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2017
    Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Raymond L WoosleyAZCERT Inc., 1822 East Innovation Park Drive, Oro Valley, AZ 85755, USA. rwoosley@azcert.org
Klaus Romero

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimal therapeutic decision-making requires integration of patient-specific and therapy-specific information at the point of care, particularly when treating patients with complex cardiovascular conditions. The formidable task for the prescriber is to synthesize information about all therapeutic options and match the best treatment with the characteristics of the individual patient. Computerized decision support systems have been developed with the goal of integrating such information and presenting the acceptable therapeutic options on the basis of their effectiveness, often with limited consideration of their safety for a specific patient. Assessing the safety of therapies relative to each patient is difficult, and sometimes impossible, because the evidence required to make such an assessment is either imperfect or does not exist. In addition, many of the alerts sent to prescribers by decision-support systems are not perceived as credible, and 'alert fatigue' causes warnings to be ignored putting patients at risk of harm. The CredibleMeds.org and BrugadaDrugs.org websites are prototypes for evidence-based sources of safety information that rank drugs for their risk of a specific form of drug toxicity-in these cases, drug-induced arrhythmias. Broad incorporation of this type of information in electronic prescribing algorithms and clinical decision support could speed the evolution of safe personalized medicine.

Indexed as

Adverse Drug Reaction Reporting SystemsDecision Support TechniquesAnimalsCardiovascular AgentsDatabases, PharmaceuticalData MiningDrug InteractionsHumansMedication ErrorsPatient SafetyPatient SelectionReminder SystemsRisk AssessmentRisk FactorsSystems IntegrationCardiovascular Agents

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.