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Record W2920580895 · doi:10.4103/jcrt.jcrt_164_18

Role of dexmedetomidine in reducing the incidence of postoperative cognitive dysfunction caused by sevoflurane inhalation anesthesia in elderly patients with esophageal carcinoma

2018· article· en· W2920580895 on OpenAlexaboutno aff
Yong Qiao, He Zhang, Zuoli Wu, Xin Zhao

Bibliographic record

VenueJournal of Cancer Research and Therapeutics · 2018
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsSevofluranePostoperative cognitive dysfunctionMedicineDexmedetomidineAnesthesiaPerioperativeIncidence (geometry)Montreal Cognitive AssessmentInhalationGastroenterologyInternal medicineCognitionCognitive impairmentDiseaseSedation

Abstract

fetched live from OpenAlex

BACKGROUND: Sevoflurane anesthesia is a high-risk factor for postoperative cognitive dysfunction (POCD) in elderly patients. Recently, some studies demonstrated that dexmedetomidine (DEX) could reduce the incidence of POCD caused by sevoflurane anesthesia. We hypothesized that DEX could reduce the incidence of POCD caused by sevoflurane anesthesia through decreasing plasma interleukin (IL-6) and tumor necrosis factor (TNF)-α concentrations. MATERIALS AND METHODS: postoperative days. RESULTS: postoperative days (P < 0.05). CONCLUSION: The POCD incidence was higher in elderly patients receiving sevoflurane anesthesia and DEX could alleviate POCD in these patients through decreasing plasma TNF-α and IL-6 concentrations.

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 score0.086
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.022
GPT teacher head0.332
Teacher spread0.310 · 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

Citations38
Published2018
Admission routes1
Has abstractyes

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