MétaCan
Menu
Back to cohort
Record W2358185122

Assessment of the cognitive impairment in elderly cancer patients treated with chemotherapy

2012· article· en· W2358185122 on OpenAlexaboutno aff
Sun Mi-fen

Bibliographic record

VenueBeijing Medical Journal · 2012
Typearticle
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentCognitive impairmentChemotherapyCognitionStage (stratigraphy)BeijingCancerInternal medicineOncologyPsychiatryChina
DOInot available

Abstract

fetched live from OpenAlex

Objective To investigate the cognitive impairment in elderly cancer patients treated with chemotherapy.Methods 130 elderly patients received cognitive assessment by the Chinese Beijing version of Montreal Cognitive Assessment Scale(MoCA) before chemotherapy,and the cognitive assessment was performed again after 3 cycles of chemotherapy.Results There was not significant changes in the scores of MoCA after 3 cycles of chemotherapy(25.9±3.6 vs.26.3±3.0,P 0.05) compared with those before chemotherapy.The rate of mild cognitive impairment before and after 3 cycles chemotherapy was 24.6% and 22.3%,respectively.Conclusions Elderly patients have elevated rate of mild cognitive impairment.However,our results do not support that chemotherapy is associated with cognitive impairment in Chinese elderly patients.Educational level and vascular risk factors may affect the MoCA scores.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.013
GPT teacher head0.325
Teacher spread0.312 · 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 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueBeijing Medical JournalSame topicCancer-related cognitive impairment studiesFrench-language works237,207