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Record W3111360132 · doi:10.1002/alz.046307

Effect of comprehensive, individualized, person‐centered management on antidepressant usage in advanced Alzheimer’s persons in a 28‐week, randomized, controlled trial

2020· article· en· W3111360132 on OpenAlexaff
Sunnie Kenowsky, Yongzhao Shao, Carol Torossian, Muhammad Saad, Gianna Dafflisio, Alok Vedvyas, ‌Barry Reisberg

Bibliographic record

VenueAlzheimer s & Dementia · 2020
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsApathyDementiaMoodAntidepressantRandomized controlled trialMedicinePsychiatryPsychological interventionAnxietyDepression (economics)Intervention (counseling)PsychologyDiseaseInternal medicineCognition

Abstract

fetched live from OpenAlex

Abstract Background We published results of a clinician‐blind, parallel‐group study of Comprehensive, Individualized, Person‐Centered Management (CI‐PCM) in moderate‐to‐severe, community‐residing, Alzheimer’s persons (Reisberg…Kenowsky, Dement Geriatr Cogn Disord, 2017). CI‐PCM intervention subjects (n=10) showed 967% greater global improvement than subjects randomized to Usual Community Care (UCC, n=10). Behavioral Pathology in Alzheimer’s Disease‐Frequency Weighted (BEHAVE‐AD‐FW) total scores showed significant benefit in the intervention group at week 28 (p<0.05). Kettunen asserts, (Eur J Clin Pharmacol, 2018), “Among persons with AD, antidepressants are used for treatment of BPSD…their effectiveness in this indication is modest.” Casey states, (Pharmacy & Therapeutics, 2015), “Antidepressants…are widely used in dementia for depressed mood, anxiety, agitation, and apathy.” Bui recommends, (Cochrane for Clinicians, American Family Practice, 2012), “…antidepressants should be used [in patients with dementia] only if all other nonpharmacologic interventions for neuropsychiatric symptoms are unsuccessful.” Herein, we examine the effect of the CIPCM program on antidepressant usage and the Behavioral and Psychological Symptoms of Dementia (BPSD) as measured with the BEHAVE‐AD‐FW. Method Investigators blinded to treatment group assignment reviewed subject charts (N=20), for antidepressant usage, and BEHAVE‐AD‐FW total and category F scores, which measure tearfulness and depressed mood. Costs of antidepressant usage, and BEHAVE‐AD‐FW total, and category F scores for each group were compared. Result There were no significant differences in antidepressant usage or BEHAVE‐AD‐FW total or category F scores between groups at baseline. At all study visits, 50% of subjects in each group took antidepressants. At week 28, community physicians prescribed CI‐PCM subjects less or the same dose of antidepressants, and prescribed comparator subjects the same or greater doses, and additional antidepressants. BEHAVE‐AD‐FW category F scores for UCC comparators were persistently elevated and worsened by week 28, whereas, CI‐PCM group scores improved to zero, indicating no depressive symptoms. Conclusion For CI‐PCM subjects, total BPSD symptomatology declined significantly (p<0.05), antidepressant usage declined, and tearfulness and depressed mood resolved, by week 28. In contrast, UCC subjects increased antidepressant usage, paid 4.42 times more for antidepressants, and had worsening of behavioral disturbances and depressive symptoms. CI‐PCM is an effective nonpharmacologic intervention that reduces antidepressant usage in advanced AD persons with BPSD.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.048
GPT teacher head0.331
Teacher spread0.283 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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
Published2020
Admission routes1
Has abstractyes

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