Evidence map›Paper›PMID 38626303›Full record

ReviewExpert review of clinical pharmacology

Opioid use disorder in pediatric populations: considerations for perioperative pain management and precision opioid analgesia.

Yun Han Chen, Anastasios Xenitidis, Paul Hoffmann, Leslie Matthews, Swathi G Padmanabhan, Lakshmi Aravindan, Ruth Ressler, Inesh Sivam, Sahana Sivam, Chase F Gillispie and 1 more

Open access · greenAbstract readReview
In one paragraph

Review in Expert review of clinical pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Postoperative pain management in children.Frontiers in pediatrics · 2026
    Review
  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

11 authors at 4 institutions in 2 countries.

Yun Han ChenDepartment of Anesthesiology and Pain Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA.
Anastasios XenitidisDepartment of Anesthesiology, Theagenio Cancer Hospital, Thessaloniki, Greece.
Paul HoffmannDepartment of Anesthesiology and Pain Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA.
Leslie MatthewsDepartment of Anesthesiology and Pain Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA.
Swathi G PadmanabhanNorth Allegheny High School, Pittsburgh, PA, USA.
Lakshmi AravindanJohn Paul II High School, Plano, TX, USA.
Ruth ResslerDepartment of Biochemistry and Molecular Biology, The College of Wooster, Wooster, OH, USA.
Inesh SivamNorth Allegheny High School, Pittsburgh, PA, USA.
Sahana SivamNorth Allegheny High School, Pittsburgh, PA, USA.
Chase F GillispieMarshall University Joan C. Edwards School of Medicine, Huntington, WV, USA.
Senthilkumar SadhasivamDepartment of Anesthesiology and Pain Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-3689-8313
University of Pittsburgh · USCollege of Wooster · USMarshall University · USTheageneio General Hospital · GR

Funding

Perioperative Precision Medicine: Translating Science to Clinical Practice to Improve Safety and Efficacy of Opioids in Neonates, Children and Nursing MothersU01TR003719 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Senthilkumar Sadhasivam · 2022 to 2026
$4.4M
Multimodal Fetal and Placental Imaging and Biomarkers of Clinical Outcomes in Opioid Use DisorderR01DA059321 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Rupa Radhakrishnan, Senthilkumar Sadhasivam · 2023 to 2026
$4.2M
Effects of Opioid Use Disorder in Pregnancy on Long-Term Maternal and Child OutcomesR01HD096800 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SADHASIVAM, SENTHILKUMAR · 2018 to 2022
$3.1M
Development and Commercialization of a pupillometer to predict postoperative opioid-induced respiratory depression in childrenR44DA055407 · NIDA · NEUROPTICS, INC. · PI OLIVER, JEFFREY WADE, PRIVITERA, CLAUDIO · 2022 to 2024
$2.7M
Pharmacogenetics of Oxycodone, Personalized Care and Persistent Surgical PainR01HD089458 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI SADHASIVAM, SENTHILKUMAR · 2016 to 2020
$2.5M
Reduction of opioid requirement associated with Auriculo-nerve stimulation following open surgeryR01DA054513 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHELLY, JACQUES E., SADHASIVAM, SENTHILKUMAR · 2022 to 2025
$2.1M
Bedside prediction of opioid-induced respiratory depression in children with pupillometryR21HD094311 · NICHD · INDIANA UNIVERSITY INDIANAPOLIS · PI SADHASIVAM, SENTHILKUMAR · 2018 to 2019
$433k
Avoiding Adverse Opioid Outcomes with Proactive Precision CareR41DA053877 · NIDA · OPALGENIX, INC. · PI PLUMP, STEVEN R., SADHASIVAM, SENTHILKUMAR · 2021 to 2022
$374k
Reducing Opioid Use and Adverse Effects through Proactive Precision Pain Management Following Spine SurgeryR44DA056280 · NIDA · OPALGENIX, INC. · PI PLUMP, STEVEN R., SADHASIVAM, SENTHILKUMAR · 2022 to 2022
$327k
Predicting and Preventing Adverse Maternal and Child Outcomes of Opioid Use Disorder in PregnancyR43DA058430 · NIDA · OPALGENIX, INC. · PI PLUMP, STEVEN R., SADHASIVAM, SENTHILKUMAR · 2023 to 2023
$325k
Neuroimaging in Pregnancy to Assess Effects of Opioid Use DisorderR03DA056797 · NIDA · INDIANA UNIVERSITY INDIANAPOLIS · PI RADHAKRISHNAN, RUPA · 2023 to 2023
$238k
NCATS NIH HHS U01 TR003719NICHD NIH HHS R01 HD089458NICHD NIH HHS R01 HD096800NICHD NIH HHS R21 HD094311NIDA NIH HHS R01 DA054513NIDA NIH HHS R01 DA059321NIDA NIH HHS R03 DA056797NIDA NIH HHS R41 DA053877NIDA NIH HHS R43 DA058430NIDA NIH HHS R44 DA055407NIDA NIH HHS R44 DA056280
6 · The paper itself

Abstract

introductionOpioids are commonly used for perioperative analgesia, yet children still suffer high rates of severe post-surgical pain and opioid-related adverse effects. Persistent and severe acute surgical pain greatly increases the child's chances of chronic surgical pain, long-term opioid use, and opioid use disorder. AREAS COVERED: Enhanced recovery after surgery (ERAS) protocols are often inadequate in treating a child's severe surgical pain. Research suggests that 'older' and longer-acting opioids such as methadone are providing better methods to treat acute post-surgical pain. Studies indicate that lower repetitive methadone doses can decrease the incidence of chronic persistent surgical pain (CPSP). Ongoing research explores genetic components influencing severe surgical pain, inadequate opioid analgesia, and opioid use disorder. This new genetic research coupled with better utilization of opioids in the perioperative setting provides hope in personalizing surgical pain management, reducing pain, opioid use, adverse effects, and helping the fight against the opioid pandemic. EXPERT OPINION: The opioid and analgesic pharmacogenomics approach can proactively 'tailor' a perioperative analgesic plan to each patient based on underlying polygenic risks. This transition from population-based knowledge of pain medicine to individual patient knowledge can transform acute pain medicine and greatly reduce the opioid epidemic's socioeconomic, personal, and psychological strains globally.

Indexed as

Analgesics, OpioidChronic PainOpioid-Related DisordersPharmacogeneticsPostoperative PainAcute PainChildDose-Response Relationship, DrugEnhanced Recovery After SurgeryHumansMethadonePain ManagementPerioperative CarePrecision MedicineSeverity of Illness IndexAnalgesics, OpioidMethadonechronic persistent surgical painmethadoneOpioid additionopioidsopioid use disorderpainpediatricpostoperative pain

Identifiers

PMID38626303
PMCPMC11116045
OpenAlexW4394856787

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.