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Record W2740539045 · doi:10.3899/jrheum.170461

Exercise as Medicine for Children with Arthritis

2017· letter· en· W2740539045 on OpenAlexaffvenueabout
Brian M. Feldman

Bibliographic record

VenueThe Journal of Rheumatology · 2017
Typeletter
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsSickKids FoundationHospital for Sick Children
Fundersnot available
KeywordsMedicineArthritisPhysical therapyRehabilitationInternal medicine

Abstract

fetched live from OpenAlex

Childhood arthritis, including juvenile idiopathic arthritis (JIA)1, is a group of diseases whose face has changed over the last 3 decades. Phenomenal new treatment approaches, available widely in developed and some developing nations2,3, have turned once crippling disorders into conditions for which new challenges have emerged. While the severe, deforming, and crippling effects of arthritis are to a large degree a thing of the past (at least in resource-rich nations), children with arthritis still face a number of challenges. Most children with JIA have ongoing pain4,5, and many do not have the same level of social and role participation as their healthy peers. Traditional approaches to therapy for children who have arthritis centered around strengthening and range of motion exercises targeted toward specific joints. For example, many of my arthritis patients, well into the 1990s, were admitted to a rehabilitation center for splinting, pool therapy, and individual joint exercises. With the onset of more powerful biologic and nonbiologic disease-modifying treatments, this is now rarely necessary. In more recent years the approach of many, including our team, is to shift the focus of therapy toward fitness exercise — an “exercise as medicine” approach. This is predicated on the knowledge that children with arthritis are less active than their peers and are in poorer physical condition6. By reversing poor physical fitness, it is possible that … Address correspondence to Dr. B.M. Feldman, 555 University Ave., Toronto, Ontario M5G 1X8, Canada. E-mail: brian.feldman{at}sickkids.ca

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.418
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations2
Published2017
Admission routes3
Has abstractyes

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