Evidence mapPaperPMID 42017149Full record

ReviewJournal of pain research2026

Personalized Multimodal and Opioid-Sparing Analgesia for Postoperative Pain Management: Enhancing Recovery and Addressing the Post-Discharge Gap.

Marie Louise Sezerano, Emery Niyonkuru

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of pain research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07681648 (Efficacy of Combined Ultrasound-Guided Bilateral Lumbar Longissimus Plane Block and Multifidus Longissimus Plane Block Versus Conventional Wound Infiltration for Postoperative Analgesia in Elective Lumbar Spine Surgery), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07681648 phase4enrolling by invitationnot on this map

Efficacy of Combined Ultrasound-Guided Bilateral Lumbar Longissimus Plane Block and Multifidus Longissimus Plane Block Versus Conventional Wound Infiltration for Postoperative Analgesia in Elective Lumbar Spine Surgery: A Prospective, Patient and Assessor Blinded, Randomized Clinical Trial

TypeinterventionalSponsorEngy EmilRan2026 to 2026Enrolled50ConditionsPostoperative Pain After Spinal SurgeryArmsUltrasound-Guided Bilateral Combined LLP and MLP Block, [Ultrasound-Guided Bilateral Combined LLP and MLP Block], [Conventional Wound Infiltration with Bupivacaine]
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Marie Louise SezeranoDepartment of Clinical Sciences (Pharmacy), National Institute of Public Health, Bujumbura, Burundi.
Emery NiyonkuruDepartment of Clinical Sciences (Anesthesiology), National Institute of Public Health, Bujumbura, Burundi.ORCID 0009-0004-6267-6783

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative pain remains a persistent clinical challenge affecting more than 80% of surgical patients, driving prolonged hospitalization, delayed recovery, and progression to chronic postsurgical pain. Opioid-centered analgesia, despite its historical primacy, is constrained by dependence, tolerance, opioid-induced hyperalgesia, and a critical post-discharge prescribing gap in which prescribed quantities consistently exceed actual patient consumption, perpetuating avoidable harm without proportional improvement in outcomes. Enhanced Recovery After Surgery protocols emphasize multimodal, opioid-sparing strategies combining pharmacologic agents including NSAIDs, acetaminophen, gabapentinoids, ketamine, dexmedetomidine, and intravenous lidocaine with neuraxial and peripheral nerve blocks and non-pharmacologic interventions including cognitive-behavioral therapy, physical rehabilitation, acupuncture, and digital therapeutics. Current evidence identifies NSAIDs combined with dexamethasone or regional anesthesia as delivering the greatest opioid-sparing efficacy, while emerging precision-based approaches incorporating pharmacogenomic-guided prescribing, machine learning-based pain prediction, and wearable monitoring platforms offer transformative opportunities for individualized perioperative analgesic optimization. Significant gaps persist including heterogeneity in multimodal regimen combinations, inconsistent outcome measures, limited post-discharge standardization, and insufficient long-term data on chronic postsurgical pain prevention and functional recovery across diverse surgical populations. Future research must prioritize procedure-specific, standardized, and pharmacogenomically informed multimodal protocols integrating technological innovations to optimize recovery, minimize opioid-related risks, and ensure sustainable, patient-centered perioperative pain management.

Indexed as

chronic postsurgical painenhanced recovery after surgerymultimodal analgesiaopioids exposureopioid sparingperioperative pain managementpharmacogenomicspostoperative painregional anesthesia

Identifiers

PMID42017149
PMCPMC13094574

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.