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Physical exercise and quality of life in cancer patients following high dose chemotherapy and autologous bone marrow transplantation

2000· article· en· W2021494623 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePsycho-Oncology · 2000
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineQuality of life (healthcare)AnxietyPhysical therapyPhysical exerciseDepression (economics)Physical fitnessCancerBone marrow transplantationBone marrowRehabilitationChemotherapyTransplantationProspective cohort studyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Preliminary evidence indicates that physical exercise may be an effective strategy for the rehabilitation of cancer patients following high dose chemotherapy (HDC) and bone marrow transplantation (BMT), but the focus of this research has been on physical fitness and medical outcomes. In the present study, we employed a prospective design to examine the relationship between physical exercise and various quality of life (QOL) indices in 25 BMT patients. Participants completed weekly self-administered questionnaires upon being admitted to hospital, and monitored the frequency and duration of their exercise during hospitalization. Statistical analyses indicated that exercise during hospitalization was significantly correlated with almost all QOL indices, including physical well-being, psychological well-being, depression, anxiety and days hospitalized. Moreover, only some of the correlations were attenuated after controlling for relevant demographic and medical variables. It was concluded that physical exercise may be related to QOL in BMT patients, but that experimental research is needed before any definitive conclusions can be drawn.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.021
GPT teacher head0.344
Teacher spread0.323 · 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