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Exercise therapies for preventing or treating aromatase inhibitor-induced musculoskeletal symptoms in early breast cancer

2020· review· en· W2796090838 on OpenAlexaboutno aff
Kate Roberts, Kirsty Rickett, Sophie Feng, Dimitrios Vagenas, Natasha Woodward

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2020
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsnot available
Fundersnot available
KeywordsAromatase inhibitorAromataseMedicineBreast cancerInternal medicineOncologyCancerPhysical therapy

Abstract

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BACKGROUND: Survival for stage I to III, hormone receptor-positive, breast cancer has substantially improved over time due to advances in screening, surgery and adjuvant therapy. However many adjuvant therapies have significant treatment-related toxicities, which worsen quality of life for breast cancer survivors. Postmenopausal women with hormone receptor-positive breast cancer are now prescribed aromatase inhibitors (AI) as standard, with longer durations of therapy, up to 10 years, being considered for certain women. AI treatment is associated with a high incidence of AI-induced musculoskeletal symptoms (AIMSS), often described as symmetrical pain and soreness in the joints, musculoskeletal pain and joint stiffness. AIMSS reduces compliance with AI therapy in up to one half of women undergoing adjuvant AI therapy, potentially compromising breast cancer outcomes. Exercise has been investigated for the prevention and treatment of AIMSS but the effect of this intervention remains unclear. OBJECTIVES: To assess the effects of exercise therapies on the prevention or management of aromatase inhibitor-induced musculoskeletal symptoms (AIMSS) in women with stage I to III hormone receptor-positive breast cancer. SEARCH METHODS: We searched Cochrane Breast Cancer's Specialised Register, CENTRAL, MEDLINE, Embase and CINAHL databases up to 13 December 2018. We also searched two conference proceedings portals and two clinical trials registries for ongoing studies or unpublished trials, or both, in August 2019. We also reviewed reference lists of the included studies. SELECTION CRITERIA: We included randomised controlled trials that compared exercise versus a comparator arm. We did not impose any restriction on the comparator arm, which could include an alternative type of exercise, no exercise or a waiting list control. Both published and non-peer-reviewed studies were eligible. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data, assessed risk of bias and certainty of the evidence using the GRADE approach. The outcomes investigated were pain, joint stiffness, grip strength, health-related quality of life, cancer-specific quality of life, adherence to AI therapy, adverse events, incidence of AIMSS, breast cancer-specific survival and overall survival. For continuous outcomes that were assessed with the same instrument, we used the mean difference (MD); for those outcomes that used different instruments, we used the standardised mean difference (SMD) for the analysis. For dichotomous outcomes, we reported outcomes as an odds ratio (OR). MAIN RESULTS: We included seven studies with 400 randomised participants; one study assessed exercise for preventing AIMSS and six studies assessed treating AIMSS. For preventing AIMSS, the single study reported no difference in pain scores, grip strength or compliance to taking AI medication between groups. Data values were not provided in the study and no other outcomes were reported. For managing AIMSS, we found that the evidence for the effect of exercise therapies on overall change in worst pain scores was very uncertain (SMD -0.23, 95% confidence interval (CI) -0.78 to 0.32; 4 studies, 284 women; very low-certainty evidence). The evidence suggested that exercise therapies result in little to no difference in overall change in stiffness scores (Western Ontario McMasters Universities Osteoarthritis Index (WOMAC) stiffness score MD -0.76, 95% CI -1.67 to 0.15 and Visual Analogues Scale (VAS) stiffness score MD -0.42, 95% CI -2.10 to 1.26; 1 study, 53 women; low-certainty evidence). The evidence was very uncertain for the outcomes of overall change in grip strength (MD 0.30, 95% CI -0.55 to 1.15; 1 study, 83 women; very low-certainty evidence); overall change in health-related quality of life (subscales of SF-36 tool ranged from least benefit of MD 1.88, 95% CI -2.69 to 6.45 to most benefit of MD 9.70, 95% CI 1.67 to 17.73; 2 studies, 123 women, very low-certainty evidence); overall change in cancer-specific quality of life (MD 4.58, 95% CI -0.61 to 9.78; 2 studies, 136 women; very low-certainty evidence); and adherence to aromatase inhibitors (OR 2.43, 95% CI 0.41 to 14.63; 2 studies, 224 women; very low-certainty evidence). There were no adverse events identified across four studies in either arm (0 events reported; 4 studies; 331 participants; low-certainty evidence). There were no data reported on incidence of AIMSS, breast cancer-specific survival or overall survival. AUTHORS' CONCLUSIONS: Given the wide-ranging benefits of exercise for people affected by cancer, it was surprising that this review provided no clear evidence of benefit for exercise therapies in women with early breast cancer with AIMSS. This review only yielded seven eligible studies with 400 participants, which is likely to have underpowered the findings. The meta-analysis was challenging due to the considerable heterogeneity amongst the trials, with a wide range of exercise regimens and follow-up periods. Despite these inconclusive findings, exercise needs to be part of routine care for women with breast cancer due to its wide-ranging benefits. Future research in this area would be enhanced with further understanding of the mechanism of AIMSS, a single clear definition of the condition, and phase III randomised controlled trials that are adequately powered to test targeted exercise interventions on the key clinical outcomes in this condition.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.159
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.356
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

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Citations65
Published2020
Admission routes1
Has abstractyes

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