Benefits of Physical Activity during and after Thyroid Cancer Treatment on Fatigue and Quality of Life: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Several epidemiological studies have provided evidence of the usefulness of physical activity for cancer prevention, increased survival and quality of life (QoL), but no comprehensive review is available on the effects on thyroid cancer. The present systematic review provides an overview of the effects of physical activity on fatigue, QoL and health-related quality of life (HRQoL) in patients with thyroid cancer diagnosis both during and after treatment, with a focus on sex. METHODS: A literature search was conducted in the PubMed and Scopus databases. We included studies investigating the impact of physical activity during and after thyroid cancer treatment, including fatigue, QoL and/or HRQoL among the outcomes. Review articles, conference papers, short communications and articles written in a language other than English articles were excluded. Study selection followed the preferred reporting items for systematic reviews and meta-analyses guidelines (PRISMA). Two reviewers independently selected the studies and assessed their eligibility. The same two reviewers independently screened studies, extracted data and assessed the risk of bias. Outcomes of interest were fatigue, QoL and HRQoL. The Newcastle-Ottawa Scale was used to assess the quality of the selected studies. We compared the outcomes between groups of patients with subclinical hyperthyroidism undergoing a physical activity program and a sedentary group, evaluating the possible presence of sex differences. RESULTS AND DISCUSSION: We found five studies eligible for inclusion in our review; only two were prospective studies including an exercise training program. One study was a quasi-experimental study with a non-equivalent control group. Three out of five studies comprised low-quality evidence with a high risk of bias. CONCLUSION: The level of confidence in the available evidence is very low. A close association between physical activity and fatigue, QoL and HRQoL in patients with thyroid cancer diagnosis with a focus on sex can neither be supported nor refuted. Future studies are needed to understand which training programs are optimal, both in terms of beneficial effects and to avoid potential adverse responses, in addition to focusing on gender differences. The protocol of this systematic review was registered with PROSPERO: CRD42022322519.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.010 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".