Evidence map›Paper›PMID 41245543›Full record

ArticleEClinicalMedicine2025

Cancer-related fatigue in children during treatment: a 5-year cohort study of daily patient-reported outcomes with clinical implications.

Alexander Tilg, Stefan Kuhle, Andreas Meryk, Benjamin Hetzer, Gabriele Kropshofer, Christina Salvador, Johannes G Weiss, Jens Lehmann, David Riedl, Gerhard Rumpold and 4 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Alexander TilgDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.
Stefan KuhleInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.
Andreas MerykDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.
Benjamin HetzerDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.
Gabriele KropshoferDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.
Christina SalvadorDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.
Johannes G WeissDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.
Jens LehmannDepartment of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
David RiedlDepartment of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
Gerhard RumpoldDepartment of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
Alexandra HaidDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.
Peter WilleitInstitute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Innsbruck, Austria.
Bernhard HolznerDepartment of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
Roman CrazzolaraDepartment of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cancer-related fatigue is one of the most common and distressing symptoms in pediatric oncology, yet its assessment and management remain insufficient. This study aimed to characterize trajectories of cancer-related fatigue in children and adolescents undergoing cancer treatment and to identify diagnosis- and therapy-specific fatigue predictors for personalized supportive care. Methods: In this prospective single-center cohort study, 104 pediatric cancer patients receiving chemotherapy (0-18 years) were enrolled at the Medical University of Innsbruck between May 1, 2020 and December 31, 2024. Daily symptom reports (patient or observer-reported) were collected via the ePROtect app and fatigue was scored 0-100, with lower values indicating greater burden. Patients were followed from diagnosis through the end of intensive therapy, and trajectories of cancer-related fatigue were analyzed across diagnostic groups and treatment phases using Locally Estimated Scatterplot Smoothing and linear mixed-effects models. Findings: In total, 11,602 daily cancer-related fatigue assessments were completed, with a median completion rate of 56·1%. Worst fatigue at diagnosis was seen in non-Hodgkin lymphoma (median: 54·2; interquartile range (IQR): 25·0, 75·0) and acute myeloid leukemia patients (median: 56·2; IQR: 33·3, 66·7); least in central nervous system tumor patients (median: 91·7; IQR: 75·0, 100). Glucocorticoid exposure was strongly associated with fatigue, especially in patients with acute lymphoblastic leukemia during steroid-intensive phases. Cancer-related fatigue was minimal during outpatient care but worsened during unplanned hospital admissions. Immunotherapy phases were associated with significant cancer-related fatigue improvement. Distinct fatigue patterns were observed across diagnoses and treatment protocols. Interpretation: Daily symptom monitoring reveals dynamic, diagnosis- and therapy-specific patterns of cancer-related fatigue in pediatric oncology patients. Glucocorticoid intensity and acute clinical events tend to be key drivers of fatigue burden. Integrating real-time symptom monitoring into clinical workflows helps identify high-risk periods for cancer-related fatigue and supports personalized supportive care to improve overall well-being in children and adolescents with cancer. Funding: Kinderkrebshilfe Tirol und Vorarlberg and Kinderhilfe Südtirol-Regenbogen supported this study.

Indexed as

Cancer-related fatiguePediatric cancerPROMSupportive care

Identifiers

PMID41245543
PMCPMC12613073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.