Evidence map›Paper›PMID 23304299›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012

Ontological approach for safe and effective polypharmacy prescription.

Adela Grando, Susan Farrish, Cynthia Boyd, Aziz Boxwala

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Polypharmacy and precision medicine.Cambridge prisms. Precision medicine · 2023
    Review
  4. Article
  5. Article
  6. Review
  7. Ontological approach to reduce complexity in polypharmacy.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    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

4 authors.

Adela GrandoDivision of Biomedical Informatics, University of California San Diego, La Jolla, California, USA.
Susan Farrish
Cynthia Boyd
Aziz Boxwala

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intake of multiple medications in patients with various medical conditions challenges the delivery of medical care. Initial empirical studies and pilot implementations seem to indicate that generic safe and effective multi-drug prescription principles could be defined and reused to reduce adverse drug events and to support compliance with medical guidelines and drug formularies. Given that ontologies are known to provide well-principled, sharable, setting-independent and machine-interpretable declarative specification frameworks for modeling and reasoning on biomedical problems, we explore here their use in the context of multi-drug prescription. We propose an ontology for modeling drug-related knowledge and a repository of safe and effective generic prescription principles. To test the usability and the level of granularity of the developed ontology-based specification models and heuristic we implemented a tool that computes the complexity of multi-drug treatments, and a decision aid to check the safeness and effectiveness of prescribed multi-drug treatments.

Indexed as

Drug Therapy, Computer-AssistedPolypharmacyArtificial IntelligenceChronic DiseaseDecision Support Systems, ClinicalDrug PrescriptionsFormularies as TopicHumansPharmaceutical PreparationsTerminology as TopicPharmaceutical Preparations

Identifiers

PMID23304299
PMCPMC3540569

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.