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Screening effects of Montreal Cognitive Assessment for sepsis associated encephalopathy

2012· article· en· W3030456851 on OpenAlexaboutno aff
Jiaquan Liu, Zili Zhang, De-quan Kong, Chengbin Yang, Yuzhen Wu, Ya-ben Yao, Weicheng Wu, Mandong Pan, Jiyan Lin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicResearch studies in Vietnam
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentConcordanceMedicineReceiver operating characteristicSepsisInternal medicineCognitive impairmentEncephalopathyDisease

Abstract

fetched live from OpenAlex

A total of 192 patients with sepsis were tested by Montreal Cognitive Assessment (MoCA) for a preliminary diagnosis of whether or not there was sepsis associated encephalopathy (SAE) according to their test results.SAE was diagnosed or excluded after consultations and comprehensive analysis on the basis of clinical manifestations and auxiliary examination results.The scores of the patients in this group were (25.7 ± 3.3) points.The sensitivity of MoCA for screening SAE was 0.776 and its specificity 0.963.The rate of diagnostic coincidence between MoCA and comprehensive analysis for SAE was 0.880.The diagnostic concordance between two diagnostic methods of SAE was excellent (kappa value =0.753 ± 0.048,P =0.000).The area under the receiver operating characteristic (ROC) curve of MoCA for screening SAE was 0.929 ± 0.019 (P =0.000) ; the optimal cutoff value was 25.5 points; and its sensitivity was 0.779 and specificity 0.962.And negative correlations existed between score of MoCA and age,disease course and co-existing shock or multiple organ dysfunction syndrome (P < 0.05). Key words: Sepsis; Cognition disorder

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)0.001
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 score0.206
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.016
GPT teacher head0.322
Teacher spread0.306 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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