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Record W2928838646 · doi:10.2490/prm.20190010

Using the Barthel Index to Assess Activities of Daily Living after Musculoskeletal Tumour Surgery: A Single-centre Observational Study

2019· article· en· W2928838646 on OpenAlexaboutno aff
Masanori Okamoto, Munehisa Kito, Yasuo Yoshimura, Kaoru Aoki, Shu-Ichiro Suzuki, Atsushi Tanaka, Akira Takazawa, Kazushige Yoshida, Yoshikazu Ido, Takaaki Ishida, Keiko Kawasaki, Hiroyuki Kato

Bibliographic record

VenueProgress in Rehabilitation Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBarthel indexActivities of daily livingPhysical therapyRehabilitationObservational studyQuality of life (healthcare)Physical medicine and rehabilitationInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of the current study was to find the factors affecting the activities of daily living, as evaluated by the Barthel Index, at the end of rehabilitation after musculoskeletal tumour surgery. Further, we evaluated whether the Barthel Index correlates with functional scores that are specific to musculoskeletal tumours at final follow-up. METHODS: The activities of daily living of 190 patients who underwent postoperative rehabilitation after surgery to treat musculoskeletal tumours were evaluated at the end of the program using the Barthel Index. Functional evaluation at the time of final follow-up observation was evaluated using the Musculoskeletal Tumour Society Score and the Toronto Extremity Salvage Score. RESULTS: The post-rehabilitation Barthel Index was significantly lower in elderly patients aged more than 60 years and in those with malignant tumours and tumours larger than 10 cm. Malignancy and large tumour size were risk factors for a low Barthel Index. There was significant correlation between the Musculoskeletal Tumour Society Score/Toronto Extremity Salvage Score at final functional evaluation and the Barthel Index at the end of rehabilitation. CONCLUSION: The Barthel Index is a simple method to assess the activities of daily living and can potentially predict disease-specific health-related quality of life at final functional evaluation after musculoskeletal tumour surgery.

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 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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.633

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.094
GPT teacher head0.371
Teacher spread0.276 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2019
Admission routes1
Has abstractyes

Explore more

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