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Record W2039911638 · doi:10.1136/ebn.10.3.89

An exercise programme led to a slower decline in activities of daily living in nursing home patients with Alzheimer’s disease

2007· letter· en· W2039911638 on OpenAlexaff
Dorothy Forbes

Bibliographic record

VenueEvidence-Based Nursing · 2007
Typeletter
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsWestern University
Fundersnot available
KeywordsGerontologyNursing homesDiseaseActivities of daily livingMedicineAlzheimer's diseasePhysical therapyPhysical medicine and rehabilitationNursingInternal medicine

Abstract

fetched live from OpenAlex

Rolland Y, Pillard F, Klapouszczak A, et a l. Exercise program for nursing home residents with Alzheimer’s disease: a 1-year randomized, controlled trial. J Am Geriatr Soc 2007;55:158–65.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q In patients with Alzheimer’s disease (AD) in nursing homes, does an exercise programme slow the decline in ability to do activities of daily of living (ADLs)? ### ![Graphic][5]</img>Design: randomised controlled trial. ### ![Graphic][6]</img>Allocation: {concealed}.* ### ![Graphic][7]</img>Blinding: blinded (outcome assessors and {data analysts}*). ### ![Graphic][8]</img>Follow up period: 12 months. ### ![Graphic][9]</img>Setting: 5 nursing homes in Toulouse, France. ### ![Graphic][10]</img>Patients: 134 patients who were 62–103 years of age (mean age 83 y, 75% women), met the National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer Disease and Related Disorders Association criteria for probable or possible AD, had lived in the nursing home for ⩾2 months, and were able to transfer from … [1]: {openurl}?query=rft.jtitle%253DJournal%2Bof%2Bthe%2BAmerican%2BGeriatrics%2BSociety%26rft.stitle%253DJ%2BAm%2BGeriatr%2BSoc%26rft.aulast%253DRolland%26rft.auinit1%253DY.%26rft.volume%253D55%26rft.issue%253D2%26rft.spage%253D158%26rft.epage%253D165%26rft.atitle%253DExercise%2Bprogram%2Bfor%2Bnursing%2Bhome%2Bresidents%2Bwith%2BAlzheimer%2527s%2Bdisease%253A%2Ba%2B1-year%2Brandomized%252C%2Bcontrolled%2Btrial.%26rft_id%253Dinfo%253Adoi%252F10.1111%252Fj.1532-5415.2007.01035.x%26rft_id%253Dinfo%253Apmid%252F17302650%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1111/j.1532-5415.2007.01035.x&link_type=DOI [3]: /lookup/external-ref?access_num=17302650&link_type=MED&atom=%2Febnurs%2F10%2F3%2F89.atom [4]: /lookup/external-ref?access_num=000243869900002&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif [10]: /embed/inline-graphic-6.gif

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.355
Teacher spread0.320 · 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 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

Citations6
Published2007
Admission routes1
Has abstractyes

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