Evidence map›Paper›PMID 35477258›Full record

ArticleCirculation. Cardiovascular quality and outcomes2022

Extracting More From Less: A New Frontier for High-Throughput Clinical Phenotyping.

David Ouyang, Susan Cheng

Abstract readEditorialComment
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2022. 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

5 · Who and what money

Authors and funding

2 authors.

David OuyangDepartment of Cardiology, Smidt Heart Institute (D.O., S.C.), Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0002-3813-7518
Susan ChengDepartment of Cardiology, Smidt Heart Institute (D.O., S.C.), Cedars-Sinai Medical Center, Los Angeles, CA.ORCID 0000-0002-4977-036X

Funding

Deep Learning Based Phenotyping and Outcomes Prediction for Valvular Heart DiseaseR01HL173526 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI David Ouyang · 2024 to 2026
$2.5M
Deep Learning Assessment of the Right Ventricle: Function, Etiology, and PrognosisK99HL157421 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI OUYANG, DAVID · 2021 to 2022
$313k
NHLBI NIH HHS K99 HL157421NHLBI NIH HHS R01 HL173526
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsElectronic Health RecordsHumansPhenotypealgorithmsartificial intelligenceEditorialselectronic health recordsmedicinescience

Identifiers

PMID35477258
PMCPMC9714772

What OpenQuestion holds

Textmetadata
LicenceTDM
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.