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Record W4388336630 · doi:10.4103/ija.ija_672_23

Comparison of analgesic effects of pericapsular nerve group block and fascia iliaca compartment block during hip arthroplasty: A systematic review and meta-analysis of randomised controlled trials

2023· review· en· W4388336630 on OpenAlexaff
Jay Prakash, Bram Rochwerg, Khushboo Saran, Arun Kumar Yadav, Pradip Kumar Bhattacharya, Amit Kumar, Dipayan Chaudhuri, Shio Priye

Bibliographic record

VenueIndian Journal of Anaesthesia · 2023
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineAnalgesicCochrane LibraryArthroplastyNerve blockAnesthesiaRandomized controlled trialMeta-analysisConfidence intervalVisual analogue scalePhysical therapySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Background and Aims: Postoperative pain for patients having hip arthroplasty ranges from moderate to severe. Many regional anaesthesia procedures treat postoperative pain to improve functional ability and quality of life. Evidence comparing the analgesic effects of the pericapsular nerve group (PENG) block and fascia iliaca compartment block (FICB) remains unclear. The analgesic efficacies of PENG and FICB in hip arthroplasty were compared to determine which technique is associated with superior analgesia. Methods: The electronic databases (PubMed, Cochrane Library, Google Scholar and Web of Sciences) were searched for published randomised controlled trials (RCTs) till 5 April 2023 comparing PENG block vs. FICB following hip arthroplasty. The primary outcome was pain scores [numerical rating scale (NRS) or visual analogue scale (VAS)] between 0 and 10 at rest and during movement at 24 h. Secondary outcomes included pain scores at rest and during movement within 30 min, at 6 h and 12 h, time to first rescue analgesia and cumulative postoperative opioid use in 24 h. We assessed the risk of bias using the Cochrane Collaboration Risk-of-Bias 2 tool. Using Grading of Recommendations Assessment, Development, and Evaluation (GRADE), the certainty of the evidence was assessed. Subgroup analysis was performed to explore the source of heterogeneity. Results: We included 12 RCTs examining 644 patients. Pain scores at rest at 24 h (standardised mean differences (SMDs): 0.17; 95% confidence interval (CI): -0.90 to 1.23; P = 0.76, moderate certainty) and during movement at 24 h (SMD: -0.58, 95% CI: -1.53 to 0.38, P = 0.24, moderate certainty) were not different in both PENG block and FICB. Pain scores at rest and during movement within 30 min may be lower with PENG block than FICB. However, the pain score at rest and during movement at 6 h and the time to first rescue analgesia were not different between the two treatment arms. The mean opioid consumption in oral morphine equivalents (mg) in 24 h may be lower with PENG than FICB. Conclusion: We observed no difference between the PENG block and the FICB at 24 h for pain at rest and movement with a moderate degree of certainty. However, PENG block showed improved analgesia within 30 min at rest and during movement, and reduce postoperative opioid consumption in 24 h with moderate certainty of evidence. Further large-scale and high-quality RCTs are required to supplement the present findings.

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)0.014
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.038
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0260.036
Bibliometrics0.0080.007
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.076
GPT teacher head0.359
Teacher spread0.283 · 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 designMeta-analysis
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

Citations14
Published2023
Admission routes1
Has abstractyes

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