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Does Nasogastric Tube Use During Cardiac Surgery Affect Postoperative Outcomes? A Narrative Review

2022· review· en· W4281993261 on OpenAlexaff
Sarah Paleczny, Rubab Fatima, Yannis Amador-Gody, Mohammad El‐Diasty

Bibliographic record

Venuenot available
Typereview
Languageen
FieldMedicine
TopicNausea and vomiting management
Canadian institutionsKingston Health Sciences Centre
Fundersnot available
KeywordsMedicineVomitingNauseaNarrative reviewDecompressionCardiac surgeryAnesthesiaIncidence (geometry)SurgeryGold standard (test)Postoperative nausea and vomitingIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Nasogastric tube (NGT) use has been common in the immediate postoperative period in surgical patients for decades. Potential advantages include the decompression of gastric contents and the early administration of time-sensitive medications. However, its routine use after cardiac surgery has not been established as a gold standard yet. The NGT use for prevention of post-operative nausea and vomiting has been a matter of debate in literature. Also, NGT use has also been associated with the incidence of some respiratory and gastrointestinal complications and it may be a source of significant pain and discomfort to patients. In this article, we review the current available literature regarding the use of NGT during and immediately after cardiac surgery, with particular emphasis on its potential role in enhanced postoperative recovery.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.075
GPT teacher head0.363
Teacher spread0.288 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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