Evidence map›Paper›PMID 31259039›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2019

Toward a Clinical Point of Care Tool for Managing Heart Failure.

Zhuo Chen, Amruth Cherukuri, Sandeep R Das, Alpesh Amin, Lakshman S Tamil, Gopal Gupta

Abstract read

In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2019. 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

6 authors.

Zhuo ChenThe University of Texas at Dallas, Richardson, Texas, USA.

Amruth CherukuriThe University of Texas at Dallas, Richardson, Texas, USA.

Sandeep R DasThe University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Alpesh AminThe University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Lakshman S TamilThe University of Texas at Dallas, Richardson, Texas, USA.

Gopal GuptaThe University of Texas at Dallas, Richardson, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of heart failure is a major challenge in health care. Optimal management of heart failure requires adherence to evidence-based clinical guidelines. The nearly 80-page guideline for heart failure management is very complex. As a result, clinical guidelines are difficult to implement and are adopted slowly by the medical community at large. In this paper we describe a heart failure treatment adviser system which automates the reasoning process required to comply with the heart failure management guideline. The system is able to correctly compute guideline- compliant treatment recommendations for a given patient. For each recommendation, justification is also given by the system. We illustrate the technical aspect of the implementation of the system as well as some primitive user interfaces associated with the system's core functionality. A simulated case is presented with system-generated recommendations and justifications.

Identifiers

PMID31259039

PMCPMC6568113

What OpenQuestion holds

Textmetadata

Read underepoch 390

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.