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High intensity interval training safety and efficacy in patients with advanced NSCLC receiving systemic treatment: Results of a prospective trial.

2021· article· en· W3169799884 on OpenAlexaff
Myriam Nait Ajjou, Guillaume Bastarache, Emily A. Walsh, Bertrand Routy, Normand Blais, Mustapha Tehfé, Geneviève Coulombe, Raafat Alameddine, Marie Florescu

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversité de MontréalUniversité du Québec à MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Physical therapyProspective cohort studyInternal medicine

Abstract

fetched live from OpenAlex

12054 Background: Patients with advanced NSCLC experience fatigue and physical deconditioning altering their quality of life. Safety and feasibility of high intensity exercise in advanced NSCLC has not been explored yet. Methods: We report the results of a single-center, prospective two-arm study. Patients with advanced NSCLC actively receiving systemic therapy or having completed treatment less than 2 months prior to enrollment were included. Patients were allocated to either an intervention arm consisting of kinesiologist supervised high intensity interval training (HIIT) at 2 sessions per week for a total of 12 weeks; or a control arm of home exercise guided by an informative pamphlet. All patients were evaluated at baseline, 6 and 12 weeks by a kinesiologist. Quality of life (QoL) exercise surveys and measurement of strength were measured. Results: Sixty patients were enrolled between January 2018 and March 2020. The study was interrupted due to COVID-19. Thirty-two patients were included in the exercise program and 28 patients in the control group. Both groups were balanced in respect to baseline characteristics. A total of 32 (53%) patients went off protocol, 13 (18%) patients stopped due to symptomatic disease progression which included 2 (3%) deaths, 2 (3%) stopped due to COVID-19 preoccupations and the remaining patients withdrew for other reasons. 42 (70%) patients were evaluated at 6-weeks and 28 (47%) completed the 12-week follow-up, with equal distribution in each group. There were no significant difference at 12 weeks in the physical assessment nor the overall QoL scores between both groups: FACT-L on 135 points (+4.1 vs +1.7, p = 0.342) and FACIT on 52 points (+3 vs -0.2, p = 0.832). Patients in the exercise group demonstrated a significant improvement at 12 weeks in the Lung Cancer Symptoms domain on 28 points (22.3 vs 19.8, p = 0.015) as well as the Physical Wellbeing domain on 28 points (23.6 vs 20.6, p = 0.056) compared to the control group, respectively. No significant exercise related complications were reported. After the study, 9 of the 14 patients (64%) who completed the HIIT program continued to exercise virtually with a kinesiologist in contrast to none in the control group. Conclusions: This study demonstrated the safety and potential benefit of a HIIT program on lung-specific and physical wellbeing in patients with advanced NSCLC on active treatment. This study provides further support on the role of supervised physical exercise in patients living with cancer. Clinical trial information: 16.229.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.065
GPT teacher head0.395
Teacher spread0.330 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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