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Record W3174008246 · doi:10.4103/jtccm.jtccm_2_21

The Relationship Between Perioperative Regional Cerebral Oxygen Saturation and Postoperative Cognitive Dysfunction: A Systematic Review and Meta-Analysis

2020· review· en· W3174008246 on OpenAlexaboutno aff
Qingling Feng, Song Jiang, Songyun Deng, Yuhang Ai, Qianyi Peng, Yunan Mo, Lina Zhang

Bibliographic record

VenueJournal of Translational Critical Care Medicine · 2020
Typereview
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisPerioperativePostoperative cognitive dysfunctionCognitionMedicineSaturation (graph theory)Oxygen saturationAnesthesiaPsychologyInternal medicineOxygenPsychiatryChemistryMathematics

Abstract

fetched live from OpenAlex

Objective: Postoperative cognitive dysfunction (POCD) and neurologic deficit continues to be an important neuropsychological adverse affecting patients' outcome. We conducted this systematic review to investigate the relationship between regional cerebral oxygen saturation (rSO2) and early POCD in postoperative patients. Materials and Methods: Our search included MEDLINE (PubMed) and Cochrane library, from inception to October 31, 2018. We included studies reporting values of rSO2 at the beginning of and/or during surgery, and the primary outcome was POCD, and excluded articles who do not put postoperative cognitive function as the main observation. Two reviewers assessed the quality of the included articles using the Newcastle-Ottawa Scale and extracted the data. Results: Seven prospective cohort studies that included 532 patients incorporate into this systematic review. About 37.78% (201/532) patients achieved POCD. POCD was associated with significantly lower overall values of rSO2 during surgery compared to the population that did not achieve POCD (mean difference [MD] −1.98; 95% confidence interval [CI] −3.30 to −0.66; P = 0.003). In the subgroup, the lowest rSO2 values intraoperative period were a better predictor of POCD (MD −2.91; 95% CI −4.37 to − 1.46; P

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.728
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.160
GPT teacher head0.410
Teacher spread0.250 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Explore more

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