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Record W2368214620

Study on the cognitive dysfunction rehabilitation therapy in 37 elderly patients with stroke

2013· article· en· W2368214620 on OpenAlexaboutno aff
Sun Xudong

Bibliographic record

VenueShanghai Medical & Pharmaceutical Journal · 2013
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRehabilitationCognitionBarthel indexActivities of daily livingStroke (engine)Physical therapyCognitive rehabilitation therapyPhysical medicine and rehabilitationMontreal Cognitive AssessmentCognitive impairmentPsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Objective: To discuss the impact of cognitive rehabilitation on the cognitive function and activities of daily life (ADL) of elderly patients with stroke. Methods: Thirty seven hospitalized patients were randomly divided into either a study group (19 patients) or a control group (18 patients). The study group was treated with Yizhi (dual benefits Ping plus cognitive rehabilitation while the control group was treated only with Yizhi. Meanwhile, all patients received a conventional treatment including cerebral vascular and sports rehabilitation for 8 weeks. The cognitive function and ADL were evaluated by Mini-Mental State Examination (MMSE) and Barthel index, respectively. Results: The between-group difference was significant in MMSE scores before and after treatment ( P0.001). The orientation, memory, attention, calculation and language ability of patients in the study group have been enhanced (P0.05), and all the indications mentioned above accept for recollection and language ability in the control group have been improved (P0.05). The between-group difference before and after treatment is significant in the Barthel index (P0.001). Conclusion: Cognitive rehabilitation can effectively improve the cognitive function and ADL of elderly patients with stroke . Early intervention of cognitive rehabilitation is very important on functional status in patients with good prognosis.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.049
GPT teacher head0.330
Teacher spread0.281 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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