Evidence map›Paper›PMID 30815125›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018

Validation of the Behavior of a Knowledge Base Implementing Clinical Guidelines for Point-of-Care Antiretroviral Toxicity Monitoring.

William Ogallo, Carol Friedman, Andrew S Kanter

Abstract readComparative StudyValidation Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

William OgalloDepartment of Biomedical Informatics, Columbia University, New York, NY.
Carol FriedmanDepartment of Biomedical Informatics, Columbia University, New York, NY.
Andrew S KanterDepartment of Biomedical Informatics, Columbia University, New York, NY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the automated detection of antiretroviral toxicities in structured electronic health records data. The evaluation compared responses generated by 5 clinical pharmacists and 1 prototype knowledge-based application for 15 randomly selected test cases. The main outcomes were inter-subject dissimilarity of responses quantified by the Jaccard distance, and the mean proportion of correct responses by each subject. The statistical differences in inter-subject Jaccard distances suggested that the prototype was inferior to clinical pharmacists in the detection of possible antiretroviral toxicity associations from structured data. The reason for dissimilarities was attributable to inadequate domain coverage by the prototype. The differences in the mean proportion of correct responses between the clinical pharmacists and the prototype were statistically indistinguishable. Overall, this study suggests that knowledge-based applications have the potential to support automated detection of antiretroviral toxicities from structured patient records. Furthermore, the study demonstrates a systematic approach for validating such applications quantitatively.

Indexed as

Electronic Health RecordsKnowledge BasesPoint-of-Care TestingAnti-Retroviral AgentsDrug MonitoringHIV InfectionsHumansPharmacistsPoint-of-Care SystemsPractice Guidelines as TopicAnti-Retroviral Agents

Identifiers

PMID30815125
PMCPMC6371353

What OpenQuestion holds

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Registered trials

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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.