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Record W4410254048 · doi:10.1186/s12871-025-03105-y

Intraperitoneal local anesthetics for postoperative pain management following intra-abdominal surgery: a systematic review and meta-analysis

2025· review· en· W4410254048 on OpenAlexafffund
Mélissa Boulianne, Michael Verret, Sarah O’Connor, Xavier Savard, Xavier Neveu, Camille Marcoux, Olivier Costerousse, Marc‐Aurèle Gagnon, Huixin Zhang, Laurence Beaulé, Frédérique Lamothe-Boucher, Alexis F. Turgeon

Bibliographic record

VenueBMC Anesthesiology · 2025
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsCentre Intégré de Santé et Services Sociaux de Chaudière-AppalacheUniversité LavalCentre Intégré de Santé et de Services Sociaux du Bas-Saint-LaurentThe Quebec Population Health Research Network
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchUniversité Laval
KeywordsMedicineAnesthesiologyMeta-analysisPain medicineAbdominal surgeryAnesthesiaPain managementSurgeryGeneral surgeryInternal medicine

Abstract

fetched live from OpenAlex

IMPORTANCE: Although intraperitoneal local anesthetics are commonly used following intra-abdominal surgical procedures, the level of evidence supporting their use for postoperative pain management remains uncertain. OBJECTIVE: To evaluate the effect of intraperitoneal local anesthetics on postoperative pain following intra-abdominal surgery. DATA SOURCES: Medline (PubMed), Embase (Embase.com), CENTRAL, Web of science and ClinicalTrials.gov databases were searched from their inception to July 15th, 2022. TRIAL SELECTION: Randomized controlled trials comparing IPLA to placebo, usual care or other analgesic regimens among patients of any age undergoing any type of surgery. DATA EXTRACTION AND SYNTHESIS: Trial selection, data extraction, risk of bias assessment and the certainty of evidence were conducted in duplicate independently. Meta-analyses were performed using random effect models. MAIN OUTCOMES AND MEASURES: The co-primary outcomes were abdominal pain intensity at 6, 12, 24, 48, and 72 h after surgery. Secondary outcomes included postoperative nausea and vomiting, opioid use, recovery of gastrointestinal transit, length of hospital stay, postoperative chronic pain, persistent postoperative opioid use, quality of recovery and adverse events. RESULTS: A total of 150 trials (n = 11,821 participants were included in our systematic review (97% of trials among adults). Intraperitoneal local anesthetics reduced postoperative pain intensity at 6 h (-0.86 point [95%CI -1.02 to -0.70]), 12 h (-0.74 point [95%CI -0.93 to -0.55]), 24 h (-0.65 point [95%CI -0.82 to -0.48]), and 48 h (-0.51 point [95%CI -0.70 to -0.31]), but not at 72 h (-0.38 point [95%CI -1.04 to 0.27]), with very low to low certainty of evidence. Modelled risk difference for achieving the clinically important effect and subgroup analyses among participants with moderate or high pain showed potential clinically significant effect from IPLA. Opioid use at 24 h (-10.4 mg of oral morphine equivalent [95% CI -13.1 to -7.6]), postoperative nausea and vomiting (RR 0.79 [95% CI -0.71 to 0.88]), and time to gastrointestinal transit recovery (-3.80 h [95% CI -7.54 to -0.07]) were also reduced. We found no association for other outcomes. CONCLUSION AND RELEVANCE: Intraperitoneal local anesthetics may be associated with a small analgesic effect following intra-abdominal surgery. Considering the low to very low level of evidence supporting these findings, along with the limited data on adverse effects and long-term outcomes, their adoption as a standard of care intervention cannot be recommended at this stage. REGISTRATION NUMBER: CRD42018115062.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.826
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0180.007
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.065
GPT teacher head0.341
Teacher spread0.276 · 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 designSystematic review
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

Citations3
Published2025
Admission routes2
Has abstractyes

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