Increasing clinicians’ suspicion of ATTR amyloidosis using a retrospective algorithm

The results of this study suggest that using this algorithm, despite it not being independently predictive of ATTR, did result in our clinicians having a lower threshold for testing for ATTR. More clinicians ordered appropriate testing, and more positive tests were obtained.

Authors

Institutions

Publication Details

Journal
Cardio-Oncology
Published
2024-11-08
DOI
https://doi.org/10.1186/s40959-024-00282-6
Primary Topic
Amyloidosis: Diagnosis, Treatment, Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Increasing clinicians’ suspicion of ATTR amyloidosis using a retrospective algorithm

John L. Jefferies, Deya Alkhatib, Aranyak Rawal, Isaac Rhea et al.
Cardio-Oncology
Amyloidosis: Diagnosis, Treatment, Outcomes
article

Increasing clinicians’ suspicion of ATTR amyloidosis using a retrospective algorithm

John L. Jefferies, Deya Alkhatib, Aranyak Rawal, Isaac Rhea, Jessica Ammon, John Alexander, Woodson Petit-Frere, G. Newman, Oguz Akbiligic, Brian Borkowski
article en

Abstract

The results of this study suggest that using this algorithm, despite it not being independently predictive of ATTR, did result in our clinicians having a lower threshold for testing for ATTR. More clinicians ordered appropriate testing, and more positive tests were obtained.

Cardio-OncologyVol. 10(1)
University of Tennessee Health Science Center (US), Yale University (US), Methodist Le Bonheur Healthcare (US), Wake Forest University (US), University of Memphis (US)
Openalex Percentile: Top 82%
Amyloidosis: Diagnosis, Treatment, Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Increasing clinicians’ suspicion of ATTR amyloidosis using a retrospective algorithm — John L. Jefferies, Deya Alkhatib, et al. · Cardio-Oncology (2024) | TGRS Research Map | TGRS