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Record W4416210119 · doi:10.1302/1358-992x.2025.13.001

PROSPECTIVE RANDOMIZED STUDY COMPARING SUPRAINGUINAL FASCIA ILIACA BLOCK VERSUS PERICAPSULAR NERVE GROUP BLOCK VERSUS LOCAL ANAESTHETIC INFILTRATION VERSUS SPINAL ANAESTHETIC WITHOUT ADJUNCTS FOR PAIN CONTROL FOLLOWING TOTAL HIP ARTHROPLASTY

2025· article· en· W4416210119 on OpenAlexaff
J Patrick Park, Kai Zhao, Tanya Cierson, Bardia Barimani, Anthony Albers

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsRandomized controlled trialAnestheticLocal anestheticArthroplastyNerve blockOpioidNarcoticHip surgeryAnalgesic

Abstract

fetched live from OpenAlex

Postoperative pain following total hip arthroplasty (THA) leads to increased narcotic consumption, decreased patient satisfaction, delayed mobilization, and prolonged hospital stays.1 Multimodal analgesia has become the standard of care following THA, and can include various regional anesthetic adjuncts such as suprainguinal fascia iliaca compartment block (FICB) and pericapsular nerve group (PENG) block, as well as local anesthetic infiltration (LAI) by the surgeon.2 The most efficacious regional anesthetic adjunct is yet to be determined, with inconsistent evidence on their efficacy and no randomized study directly comparing these three adjuncts to date.3-6 The purpose of this randomized trial was to compare the impact of FICB, PENG block, and LAI on postoperative pain, opioid use, and side effects associated with pain control following primary THA for osteoarthritis. One hundred and thirty-nine patients undergoing primary THA under spinal anesthesia for hip osteoarthritis were randomized to receive FICB (n=35), PENG block (n=35), LAI (n=33), or spinal anesthetic without any adjuncts (control; n=36). The primary outcome was cumulative opioid consumption at 24 hours postoperatively. Cumulative opioid consumption (in mg of morphine-equivalents) was recorded at four, 24, and 48 hours postoperatively. Postoperative pain scores (visual analog pain scale; VAS) were recorded at four hours, immediately before and after the first physiotherapy session, and at two and four days. Finally, patient satisfaction with pain control, length of hospital stay and complications were also recorded. For statistical analysis, group comparisons were performed using two-tailed t-test (alpha = 0.05). All study groups had similar patient demographics, including mean age, gender, BMI. At 24 hours postoperatively, all groups with adjuncts had significantly lower cumulative opioid consumption (FICB = 27.0 mg, LAI = 26.9 mg, PENG = 30.3 mg) compared to the control group (42.7 mg; p=0.003, p=0.004, p=0.016, respectively). FICB group had lower opioid consumption at four hours postoperatively compared to the control group (2.4 mg vs. 5.9 mg; p < 0 .05) while LAI group and PENG block group had similar opioid consumption to the control group. In addition, LAI group had lower pain at 4 hours (VAS = 1.8) compared to the control group (VAS = 3.1; p=0.026). While there was no statistically significant difference in patient satisfaction with postoperative pain management across the study groups, there was a trend toward improved satisfaction for LAI (effect size 0.65, p=0.08). FICB, LAI and PENG block are equally efficacious in reducing opioid consumption for acute postoperative pain, when compared to spinal anesthesia alone. Of note, patients who received LAI had decreased subjective pain at 4 hours and a trend towards better satisfaction with pain control following THA. Because LAI can be performed intra-operatively, without the need for a secondary procedure, this may be the adjunct of choice to improve pain control post-THA.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.273
Teacher spread0.258 · 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 designRandomized trial
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

Citations0
Published2025
Admission routes1
Has abstractyes

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