Evidence map›Paper›PMID 38671710›Full record

ArticleChildren (Basel, Switzerland)2024

Gaining Insight into Teenagers' Experiences of Pain after Laparoscopic Surgeries: A Prospective Study.

Mihaela Visoiu, Jacques Chelly, Senthilkumar Sadhasivam

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 92% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Observational
  2. Predictors of Life Satisfaction in Native Hawaiian and Pacific Islander College Students.International journal of environmental research and public health · 2025
    Article
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 at 2 institutions in 1 country.

Mihaela VisoiuUPMC Children's Hospital of Pittsburgh, Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, 4401 Penn Avenue, Pittsburgh, PA 15224, USA.ORCID 0000-0003-0933-4536
Jacques ChellyUPMC Shadyside Hospital, Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center 5230 Center Ave, Pittsburgh, PA 15232, USA.ORCID 0000-0001-5715-5482
Senthilkumar SadhasivamUPMC Children's Hospital of Pittsburgh, Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh Medical Center, 4401 Penn Avenue, Pittsburgh, PA 15224, USA.ORCID 0000-0002-3689-8313
Children's Hospital of Pittsburgh · USShadyside Hospital · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
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
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
NCATS NIH HHS U01 TR003719NCATS NIH HHS UL1 TR001857NICHD NIH HHS R01 HD089458NICHD NIH HHS R01 HD096800NICHD NIH HHS R21 HD094311NIDA NIH HHS R01 DA054513NIDA NIH HHS R41 DA053877NIDA NIH HHS R44 DA055407NIDA NIH HHS R44 DA056280
6 · The paper itself

Abstract

There is an anecdotal impression that teenage patients report exaggerated postoperative pain scores that do not correlate with their actual level of pain. Nurse and parental perception of teenagers' pain can be complemented by knowledge of patient pain behavior, catastrophizing thoughts about pain, anxiety, and mood level. Two hundred and two patients completed the study-56.4% were female, 89.6% White, 5.4% Black, and 5% were of other races. Patient ages ranged from 11 to 17 years (mean = 13.8; SD = 1.9). The patient, the parent, and the nurse completed multiple questionnaires on day one after laparoscopic surgery to assess patient pain. Teenagers and parents (r = 0.56) have a high level of agreement, and teenagers and nurses (r = 0.47) have a moderate level of agreement on pain scores (

Indexed as

anxietylaparoscopic surgeriesmoodpain behaviorpain catastrophizing thoughtsteenager postoperative painvisual analog pain scale

Identifiers

PMID38671710
PMCPMC11049025
OpenAlexW4395011976

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.