Use of NCCN distress thermometer in cancer genetics patients

Findings from this study show that the DT can assist in identifying patients undergoing cancer genetic counseling who are experiencing high distress; however, research to develop a PL more specific to the concerns of the oncology genetic counseling patient population may be considered to better identify relevant patient problems.

Authors

Institutions

Publication Details

Journal
Supportive Care in Cancer
Published
2025-04-26
DOI
https://doi.org/10.1007/s00520-025-09473-y
Primary Topic
Family Support in Illness
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Use of NCCN distress thermometer in cancer genetics patients

Aidan M. Kennedy, Andrea M. Murad, Michelle Riba, Elena M. Stoffel et al.
Supportive Care in Cancer
Family Support in Illness
article

Use of NCCN distress thermometer in cancer genetics patients

Aidan M. Kennedy, Andrea M. Murad, Michelle Riba, Elena M. Stoffel, Erika Koeppe, Michelle F. Jacobs
article en

Abstract

Findings from this study show that the DT can assist in identifying patients undergoing cancer genetic counseling who are experiencing high distress; however, research to develop a PL more specific to the concerns of the oncology genetic counseling patient population may be considered to better identify relevant patient problems.

Supportive Care in CancerVol. 33(5)
University of Michigan (US), Michigan Medicine (US), Michigan Cancer Research Consortium (US)
Good health and well-being
Openalex Percentile: Top 89%
Family Support in Illness
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.