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Prevalence of cognitive impairment in patients with hematologic cancers preceding stem cell transplantation: Program for healthy aging.

2016· article· en· W2586707082 on OpenAlexaboutno aff
Beatrice J. Edwards, Holly M. Holmes, Heather Valladarez, Ming Sun, Peter Khalil, Vu Nguyen, Juhee Song, Richard E. Champlin

Bibliographic record

VenueJournal of Clinical Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaMedicineMontreal Cognitive AssessmentDepression (economics)TransplantationInternal medicineCognitionDiseasePediatricsGerontologyPsychiatry

Abstract

fetched live from OpenAlex

32 Background: Older adults, 65 years of age and older, with hematologic cancers may be at higher risk for cognitive impairment. It is postulated that the etiology of cognitive impairment in cancer may a combination of age-related and chemotherapy related cognitive impairment. Methods: We conducted a retrospective cohort analysis, of older adult patients 65 years and older evaluated at the Program for Healthy Aging at MD Anderson from January 1, 2013 through March 31, 2015. Cognitive assessment was evaluated through personal interview, and the Montreal cognitive assessment, functional assessment utilizing ADLs and IADLs. Screening for depression was conducted with the PHQ-9. Patients were interviewed regarding risk factors for dementia including depression, concussions, alcohol abuse, and family history of dementia. Level of education was assessed. Patients were euthymic. Cognitive impairment was defined as an abnormal MOCA without functional impairment, dementia was defined as an abnormal MOCA with functional impairment. Imaging and assessment for reversible factors of memory loss was conducted. SAS 9.4 (SAS Institute INC, Cary, NC) was used for data analysis. Results: The majority of these 62 patients had received chemotherapy for more than 2 years. Cognitive impairment and/or dementia were identified in 50 (80.6%) patients. Types of dementia included Alzheimer’s disease (n = 4, 8%), vascular dementia (n = 5, 10 %), and mixed dementia (n = 15, 30%).Mild cognitive impairment was evidenced in 14 cases (28%) The majority of cases of dementia with known stage were early stage dementia (n = 13, 72.2%), moderate stage dementia (n = 3, 16.7%), and advanced or severe dementia (n = 2, 11.1%). Brain imaging was performed identifying white matter microischemic changes, cerebrovascular accidents and brain atrophy in some cases. No significant thyroid abnormalities, B12 deficiency or other reversible causes were identified. Conclusions: Cognitive impairment and dementia are prevalent in older patients with hematologic malignancies. Identification and management of this condition may prevent delirium and hospital complications during stem cell transplantation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.065
GPT teacher head0.436
Teacher spread0.370 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2016
Admission routes1
Has abstractyes

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