Cognitive stimulation therapy improves cognition and quality of life in older people with dementia
Bibliographic record
Abstract
Spector A, Thorgrimsen L, Woods B, et al. Efficacy of an evidence-based cognitive stimulation therapy programme for people with dementia: randomised controlled trial. Br J Psychiatry 2003;183:248–54.[OpenUrl][1][Abstract/FREE Full Text][2] Q Does cognitive stimulation therapy improve cognition and quality of life in older people with dementia? ### ![Graphic][3] Design: Randomised controlled trial. ### ![Graphic][4] Allocation: Unconcealed. ### ![Graphic][5] Blinding: Single (outcome assessors blinded). ### ![Graphic][6] Follow up period: Seven weeks. ### ![Graphic][7] Setting: Five day centres and 18 residential homes in London and Hertfordshire, UK; time period not stated. ### ![Graphic][8] Patients: 201 people (158 women and 43 men) diagnosed with dementia according to DSM-IV criteria. Main inclusion criteria were: scoring between 10 and 24 on the Mini-Mental State Examination (MMSE) and ability to communicate and understand communication (score of 1 or 0 for questions 12 and 13 of the Clifton Assessment Procedures for the Elderly-Behaviour Rating Scale); ability to see and hear well enough to participate; having no major physical illness or disability, or diagnosed learning disability. Mean age of participants was 85.3 years. ### ![Graphic][9] Intervention: Participants receiving cognitive stimulation therapy (CST) (115 people) took part in twice weekly group sessions, of … [1]: {openurl}?query=rft.jtitle%253DThe%2BBritish%2BJournal%2Bof%2BPsychiatry%26rft.stitle%253DBr.%2BJ.%2BPsychiatry%26rft.aulast%253DSPECTOR%26rft.auinit1%253DA.%26rft.volume%253D183%26rft.issue%253D3%26rft.spage%253D248%26rft.epage%253D254%26rft.atitle%253DEfficacy%2Bof%2Ban%2Bevidence-based%2Bcognitive%2Bstimulation%2Btherapy%2Bprogramme%2Bfor%2Bpeople%2Bwith%2Bdementia%253A%2BRandomised%2Bcontrolled%2Btrial%26rft_id%253Dinfo%253Adoi%252F10.1192%252Fbjp.183.3.248%26rft_id%253Dinfo%253Apmid%252F12948999%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/ijlink?linkType=ABST&journalCode=bjprcpsych&resid=183/3/248&atom=%2Febmental%2F7%2F1%2F19.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif [5]: /embed/inline-graphic-3.gif [6]: /embed/inline-graphic-4.gif [7]: /embed/inline-graphic-5.gif [8]: /embed/inline-graphic-6.gif [9]: /embed/inline-graphic-7.gif
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".