Psychosocial distress and persistent adverse events in long‐term survivors of stage IV melanoma – a cross‐sectional questionnaire study

High rates of psychosocial distress and persistent adverse events were observed, highlighting the need for cancer survivorship programs in the follow-up care of melanoma patients.

Authors

Publication Details

Journal
JDDG Journal der Deutschen Dermatologischen Gesellschaft
Published
2025-04-25
DOI
https://doi.org/10.1111/ddg.15712
Citations
3
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
3.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychosocial distress and persistent adverse events in long‐term survivors of stage IV melanoma – a cross‐sectional questionnaire study

Andrea Forschner, Teresa Amaral, Anne Bach, Markus Reitmajer et al.
3 citations
JDDG Journal der Deutschen Dermatologischen Gesellschaft
Cutaneous Melanoma Detection and Management
3.14
article

Psychosocial distress and persistent adverse events in long‐term survivors of stage IV melanoma – a cross‐sectional questionnaire study

Andrea Forschner, Teresa Amaral, Anne Bach, Markus Reitmajer, Ulrike Leiter, Norbert Schäffeler, Lukas Flatz, Lena Nanz
article en
3 citations

Abstract

High rates of psychosocial distress and persistent adverse events were observed, highlighting the need for cancer survivorship programs in the follow-up care of melanoma patients.

JDDG Journal der Deutschen Dermatologischen GesellschaftVol. 23(7)
Openalex Percentile: Top 8%
Cutaneous Melanoma Detection and Management
3.14
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.