A Prospective Study of Non‑Treating Medical Institution Use for Supportive Care During Adjuvant Chemotherapy After Curative Surgery (PRO-SUCCESS)

Patients receiving adjuvant chemotherapy frequently use NTMIs for unmet physical or emotional needs. Systematic approaches to symptom control and patient education within oncology settings may reduce unnecessary healthcare utilization.

Authors

Institutions

Publication Details

Journal
Cancer Research and Treatment
Published
2026-01-05
DOI
https://doi.org/10.4143/crt.2025.1195
Primary Topic
Cancer survivorship and care
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Prospective Study of Non‑Treating Medical Institution Use for Supportive Care During Adjuvant Chemotherapy After Curative Surgery (PRO-SUCCESS)

Jae-Joon Kim, So Yeon Oh, Sang-Bo Oh, Kwonoh Park
Cancer Research and Treatment
Cancer survivorship and care
article

A Prospective Study of Non‑Treating Medical Institution Use for Supportive Care During Adjuvant Chemotherapy After Curative Surgery (PRO-SUCCESS)

Jae-Joon Kim, So Yeon Oh, Sang-Bo Oh, Kwonoh Park
article en

Abstract

Patients receiving adjuvant chemotherapy frequently use NTMIs for unmet physical or emotional needs. Systematic approaches to symptom control and patient education within oncology settings may reduce unnecessary healthcare utilization.

Cancer Research and Treatment
Hanyang University Seoul Hospital (KR), Pusan National University Yangsan Hospital (KR), Hanyang University (KR)
Openalex Percentile: Top 95%
Cancer survivorship and care
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.