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Persistent Postoperative Cognitive Decline?

2016· article· en· W2283076615 on OpenAlexaboutno aff
Michael S. Avidan, Alex S. Evers

Bibliographic record

VenueAnesthesiology · 2016
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCognitive declinePostoperative cognitive dysfunctionCognitionIntensive care medicineInternal medicinePsychiatryDementiaDisease

Abstract

fetched live from OpenAlex

Complex Information for Anesthesiologists Presented Quickly and ClearlyThe hierarchy of evidence showing studies that have found a link (top right) and have not found a link (top left) between surgery or anesthesia and dementia or postoperative cognitive decline (POCD) lasting longer than 6 months. More details and a complete list of the studies referenced can be found in the Editorial View by Avidan and Evers in this issue of Anesthesiology.1 A hypothetical preoperative (Preop) and postoperative (Postop) cognitive trajectory (bottom panel) is illustrated that depicts the course of cognitive decline over time. If a surgical episode occurs at a time when the rate of cognitive decline is already accelerating, postoperative cognitive decline that was already predestined may be mistakenly attributed to surgery. CSHA = Canadian Study on Health and Aging. Infographic concept and data provided by Michael S. Avidan and Alex S. Evers, Department of Anesthesiology, Washington University School of Medicine. Illustration by Annemarie Johnson, Vivo Visuals.

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)0.001
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.005
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0320.004

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 head0.020
GPT teacher head0.282
Teacher spread0.262 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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