Evidence map›Paper›PMID 29854132›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017

An Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria.

Aaron S Eisman, Rory B Weiner, Elizabeth S Chen, Paul C Stey, Rishi K Wadhera, Aaron P Kithcart, Indra Neil Sarkar

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Aaron S EismanCenter for Biomedical Informatics, Brown University, Providence, RI.
Rory B WeinerMassachusetts General Hospital, Boston, MA.
Elizabeth S ChenCenter for Biomedical Informatics, Brown University, Providence, RI.
Paul C SteyCenter for Biomedical Informatics, Brown University, Providence, RI.
Rishi K WadheraBrigham and Women's Hospital, Boston, MA.
Aaron P KithcartBrigham and Women's Hospital, Boston, MA.
Indra Neil SarkarCenter for Biomedical Informatics, Brown University, Providence, RI.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Echocardiography Appropriate Use Criteria (EAUC) are a set of indications for transthoracic echocardiography (TTE) developed to guide physician decision making around ordering of TTE. In this study, an automated rule-based method for processing "indications" listed within TTE reports and classification into one of the major EAUC categories was developed and validated against a clinician-annotated reference standard. The system performed at a comparable level to trained physicians allowing for the automated classification of more than 30,000 TTE indications from a public database in less than ten minutes. The most common indication for TTE was Valvular assessment closely followed by General. Hypertension/Heart Failure/Cardiomyopathy, Acute, and Cardiac Structure assessment each contributed more than ten percent within this patient population. These results suggest potential for automated approaches for tracking appropriate use of TTE, as well as guide the development of systems for prospectively identifying when TTE use is recommended.

Indexed as

AlgorithmsPractice Guidelines as TopicDatabases, FactualEchocardiographyGuideline AdherenceHeartHumansMachine LearningMedical RecordsMedicareRadiology Information SystemsReference StandardsSoftwareUnited States

Identifiers

PMID29854132
PMCPMC5977700

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.