Evidence map›Paper›PMID 41019311›Full record

ArticleAnesthesia and critical care (Houston, Tex.)2025

Multimodal Analgesia in the Perioperative Period of Major Surgeries: An In-depth Analysis.

Sean Kincaid, Justine How, Devendra K Agrawal

Abstract read
In one paragraph

Article in Anesthesia and critical care (Houston, Tex.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Trial
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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

3 authors.

Sean KincaidDepartment of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, California, USA.
Justine HowDepartment of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, California, USA.
Devendra K AgrawalDepartment of Translational Research, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, Pomona, California, USA.

Funding

Research Education Program to Promote Diversity in Immunologic and Allergic DiseasesR25AI179582 · NIAID · WESTERN UNIVERSITY OF HEALTH SCIENCES · PI Devendra K. Agrawal · 2025 to 2026
$756k
NIAID NIH HHS R25 AI179582
6 · The paper itself

Abstract

The successful management of postoperative pain remains a significant challenge to patient recovery following high-risk surgeries, often leading to the overuse of opioids and increasing dangers for developing chronic post-surgical pain (CPSP). CPSP is defined as pain persisting for at least 3 months after surgery, beyond the expected healing window. CPSP can develop after any type of surgery, but especially very traumatic ones- where nerve injury, inflammation, and abnormal central sensitization cause acute postoperative pain to transition into chronic pain. Multimodal analgesia (MMA) is an integrated pain management approach that employs a wide range of drug interventions with the end goal of achieving a synergistic effect in pain reduction and recovery. This method is used to reduce the necessity for opioids due to their addictive properties and other detrimental side effects. Anchored in Enhanced Recovery After Surgery (ERAS) protocols, MMA is a tailored approach that takes into consideration various pain pathways, such as nociceptive, neuropathic, and inflammatory. These methods can widely differ across various surgical categories, as each patient and procedure present distinct complications to address. Current studies offer a vast array of interventions with shifting impacts on recovery, though there is general agreement on certain specific, consistently effective approaches. This review critically reviewed the most widely accepted MMA strategies across orthopedic, thoracic, abdominal, breast, and amputation procedures, while also identifying areas for further optimization. Overall, the multimodal analgesia reduces opioid intake in the postoperative setting and benefits patients undergoing multiple procedures. However, there is a need for integrative, patient-tailored algorithms supported by predictive analytics and perioperative data to personalize MMA plans. Further investigations using high-quality, procedure-specific randomized controlled trials are warranted to evaluate short-term analgesic success and long-term quality-of-life metrics.

Indexed as

AnesthesiaChronic post-surgical painERAS protocolMultimodal analgesiaNociceptionPain managementSurgery

Identifiers

PMID41019311
PMCPMC12463453

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.