Evidence map›Paper›PMID 39378419›Full record

ArticleJMIR formative research2024

Comparison of Analgesia Methods Through a Web Platform in Patients Undergoing Thoracic Surgery: Pilot Design, Implementation, and Validation Study.

Rosella Trò, Angelica Orecchia, Nicola Disma, Paolo Uva, Roberto Cavanna, Nicolò Zanardi, Michele Torre, Marco Massimo Fato

Abstract readComparative Study
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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

8 authors.

Rosella TròDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genoa, Italy.ORCID 0000-0002-4915-5295
Angelica OrecchiaDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genoa, Italy.ORCID 0009-0007-5607-952X
Nicola DismaUnit for Research in Anaesthesia, Istituto di Ricovero e Cura a Carattere Scientifico Giannina Gaslini, Genoa, Italy.ORCID 0000-0002-2960-9333
Paolo UvaClinical Bioinformatics, Istituto di Ricovero e Cura a Carattere Scientifico Giannina Gaslini, Genoa, Italy.ORCID 0000-0002-9524-8492
Roberto CavannaClinical Bioinformatics, Istituto di Ricovero e Cura a Carattere Scientifico Giannina Gaslini, Genoa, Italy.ORCID 0000-0003-4070-6342
Nicolò ZanardiClinical Bioinformatics, Istituto di Ricovero e Cura a Carattere Scientifico Giannina Gaslini, Genoa, Italy.ORCID 0000-0002-9960-5055
Michele TorrePediatric Thoracic and Airway Surgery Unit, Istituto di Ricovero e Cura a Carattere Scientifico Giannina Gaslini, Genoa, Italy.ORCID 0000-0001-5197-4380
Marco Massimo FatoDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genoa, Italy.ORCID 0000-0001-8085-2438

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPain management is a vital and essential part of postoperative pectus excavatum (PE) care. Given the lack of an international consensus on guidelines for postoperative handling and evaluation, further research is necessary to compare the efficacy of existing pain management methods regarding pain relief, side effects, and long-term outcomes. In this context, the use of eHealth solutions for data mining can enhance data collection efficiency, reduce errors, and improve patient engagement. However, these digital health care frameworks are currently underused in the context of pain management for PE.

objectiveThis research is part of the broader Cryoanalgesia for Pain Management After Pectus Excavatum Repair (COPPER) study conducted by Giannina Gaslini Children's Hospital to address postoperative pain and recovery in PE patients treated with either standard thoracic epidural analgesia or cryoanalgesia, which is considered its innovative alternative approach. Specifically, this work is aimed at introducing a valuable tool for a comprehensive and quantitative comparison of the 2 analgesia strategies. The tool is a web and mobile app designed to facilitate data collection, management, and analysis of clinical data for pain assessment.

methodsThe adopted approach involves a careful design based on clinician input, resulting in an intuitive app structure with 3 main screens. Digital surveys are borrowed from paper surveys, including medical history and preoperative, postoperative, and follow-up evaluations. XTENS 2.0 was used to manage the data, and Ionic facilitated cross-platform app development, ensuring secure and adaptable data handling.

resultsPreliminary analysis on a pilot cohort of 72 patients (36 treated with standard therapy and 36 treated with cryoanalgesia) indicated successful patient enrollment and balanced representation across treatment groups and genders. Notably, hospital stay was significantly shorter with cryoanalgesia than with standard therapy (Mann-Whitney-Wilcoxon 2-sided test with Bonferroni correction; P<.001; U statistic=287.5), validating its treatment efficacy.

conclusionsThis work is a step toward modernizing health care through digital transformation and patient-centered models. The app shows promise in streamlined data collection and patient engagement, although improvements in multilingual support, data validation, and incentivization of questionnaire completion are warranted. Overall, this study highlights the potential of digital health solutions in revolutionizing health care practices, fostering patient involvement, and improving care quality.

Indexed as

Pain ManagementPostoperative PainThoracic Surgical ProceduresAdolescentAdultAnalgesiaChildFemaleFunnel ChestHumansInternetMaleMobile ApplicationsPain MeasurementPilot Projectshealth care informaticspain assessmentpectus excavatumweb platform

Identifiers

PMID39378419
PMCPMC11496914

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.