ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023
Effects of exercise mode and intensity on patient-reported outcomes in cancer survivors: a four-arm intervention trial.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02883699 (Individually Tailored Training Prescriptions in Cancer Patients), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Individually Tailored Training Prescriptions in Cancer Patients: The TOP Study
Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 5 citations in OpenAlex.
- Cardiovascular training versus resistance training for fatigue in people with cancer.The Cochrane database of systematic reviews · 2024Pooled it
- Physical activity and pain in people with cancer: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Pooled it
- Androgen Deprivation Therapy-Induced Muscle Loss and Fat Gain Predict Cardiovascular Events in Prostate Cancer Patients.Journal of cachexia, sarcopenia and muscle · 2025Article
- Thresholds of Body Composition Changes Associated with Survival During Androgen Deprivation Therapy in Prostate Cancer.European urology open science · 2024Article
- Immunomodulatory effects of exercise in cancer prevention and adjuvant therapy: a narrative review.Frontiers in physiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to compare the effects of different exercise modes (aerobic, resistance) and intensity prescriptions (standard, polarized, undulating) on patient-reported outcomes (PROs) in cancer survivors.
methods107 breast or prostate cancer survivors (52% females, age 58 ± 10 years, 6-52 weeks after primary therapy) performed one out of four training programs, two sessions/week, over 12 weeks: work rate-matched vigorous intensity aerobic training (AT
resultsOver the intervention period, HRQoL-function-scales of the EORTC-QLQ-C30 improved over time (p = .007), but no group*time interaction was observed (p = .185). Similarly, CRF values of the MFI-20 improved over time (p = .006), but no group*time interaction was observed (p = .663). When including the follow-up period and pooling the AT and the RT groups, HRQoL-function-scales developed differently between groups (p = .022) with further improvements in RT and a decline in AT. For CRF no significant interaction was found, but univariate analyses showed a non-significant trend of more sustainable effects in RT.
conclusionsAT and RT with different work rate-/volume-matched intensity prescriptions elicits positive effects on HRQoL and CRF, without one regimen being significantly superior to another over the intervention period. However, RT might result in more sustainable effects compared to AT over a follow-up period without any further exercise prescription. CLINICAL
trial registrationThe study was registered at clinicaltrials.gov (NCT02883699).
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Registered trials
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.