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Record W1982024001 · doi:10.1213/ane.0b013e3181b57c6f

Bowel Surgery and Multimodal Analgesia: Same Game, New Team?

2009· letter· en· W1982024001 on OpenAlexaffabout
Naveen Eipe, John Penning

Bibliographic record

VenueAnesthesia & Analgesia · 2009
Typeletter
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineDiclofenacAnalgesicAnastomosisNonsteroidalSurgeryAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

To the Editor: Recent editorials1,2 discussing retraction of many papers related to use of cyclooxygenase-2 (COX-2) inhibitors suggest that, until the results of further research becomes available, the future of COX-2 inhibitors in Multi-Modal Analgesic Protocols (MMAP) may be uncertain. Although our confidence in MMAP may also have been somewhat shaken, we would like to add information from two recent publications elsewhere3,4 that may further impact MMAP for bowel surgery. For open bowel resection and anastomosis once an epidural catheter is removed, MMAP have effectively included nonsteroidal antiinflammatory drugs (NSAIDs) and COX-2 inhibitors for their documented opioid-sparing effects.3 These drugs are useful to achieve the goals of early mobilization and feeding.5 Although antiinflammatory drugs may affect wound healing, the use of steroids in patients with inflammatory bowel disease has been associated with increased risk of anastomotic leaks.6 These implications of delayed bowel healing have also been suggested with NSAIDs such as diclofenac.7 Now, a retrospective study suggests that a COX-2 inhibitor may increase the incidence of anastomotic leaks in a clinically relevant manner.3 We find ourselves in a conundrum with MMAP for patients undergoing colon resections, when these are performed laparoscopically. For these procedures with multiple small incisions, epidural techniques are often not indicated.8 The onus on MMAP to help achieve the goals of fast-track surgery, we believe, is greater in these situations than elsewhere. We know from experience that reliance on opioids alone for postoperative analgesia delays the recovery of bowel function. It is rather unfortunate that in a type of surgery where opioid sparing is so important, COX-2 inhibitors have been implicated in a major adverse effect.3 Although these findings should be interpreted with caution (the paper itself mentions that several other centers have used intensive perioperative COX-2 therapy after colonic surgery without anastomotic leaks), there is clearly now an urgent need for a well-controlled, randomized, prospective, double-blind study to examine the effects of COX-2 inhibitors on bowel anastomosis, especially when performed laparoscopically. Until such time should we have to reconsider using epidurals8 in patients undergoing laparoscopic bowel resections to avoid COX-2 inhibitors and decrease opioid requirements? Intravenous lidocaine is one of the nonopioid analgesic adjuvants that may be a suitable replacement for the NSAIDs/COX-2 inhibitors.10 A recent meta-analysis confirms this beneficial effect of lidocaine in decreasing opioid requirements and facilitating early rehabilitation after bowel surgery.4 Our own unpublished experience with IV lidocaine in laparoscopic bowel surgery has been similar and very encouraging. In summary, until further evidence becomes available for patients undergoing major laparoscopic bowel surgery, it seems that COX-2 inhibitors will “sit out” while other players such as lidocaine move into key positions on the MMAP “team.” Naveen Eipe, MBBS, MD John Penning, MD, FRCP(C) Department of Anesthesiology The Ottawa Hospital Civic Hospital Campus Ottawa, Ontario, Canada [email protected]

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)0.004
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0050.007
Open science0.0030.001
Research integrity0.0140.023
Insufficient payload (model declined to judge)0.0060.005

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 head0.015
GPT teacher head0.249
Teacher spread0.234 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations3
Published2009
Admission routes2
Has abstractyes

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