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Record W2315329386 · doi:10.1097/aco.0000000000000036

Pain and inflammatory response following off-pump coronary artery bypass grafting

2013· review· en· W2315329386 on OpenAlexaff
Rakesh V. Sondekoppam, Ramiro Arellano, Sugantha Ganapathy, Davy Cheng

Bibliographic record

VenueCurrent Opinion in Anaesthesiology · 2013
Typereview
Languageen
FieldMedicine
TopicCardiac and Coronary Surgery Techniques
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineCardiopulmonary bypassCardiac surgeryAnalgesicMultimodal therapyOff-pump coronary artery bypassAnesthesiaModalitiesInflammationArterySurgeryIntensive care medicineBypass graftingInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Inflammation and pain are two common clinical issues following cardiac surgery, which are important to patient outcomes. This article reviews the literature regarding inflammation and pain following cardiac surgery with special emphasis on off-pump cardiac surgery. RECENT FINDINGS: Off-pump surgery is associated with decreased intraoperative inflammatory response compared with procedures using cardiopulmonary bypass; however, the postoperative pattern of inflammatory response is similar to on-pump procedures. Multimodal analgesic regimens and protocol-based approaches to pain management improve analgesia compared to conventional approaches. SUMMARY: Off-pump cardiac surgeries although known to decrease the inflammatory burden do not appear to impact the overall patient outcomes. Recent evidence indicates the prothrombotic tendency following off-pump procedures, which could be related to the time course of inflammation following off-pump cardiac surgery. There might be some benefit of off-pump procedures regarding neurological and renal function that needs further studies. Pain management following off-pump procedures is similar to that of patients undergoing on-pump cardiac surgery. Better caregiver and patient education is crucial for improving pain control following cardiac surgery. Analgesic regimens need to consider adjuvants and regional analgesic techniques and patient-controlled modalities while providing care.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.060
GPT teacher head0.353
Teacher spread0.293 · 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.

Study designOther design
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

Citations11
Published2013
Admission routes1
Has abstractyes

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