Evidence map›Paper›PMID 36961067›Full record

ReviewClinics and practice2023

Telemedicine, E-Health, and Multi-Agent Systems for Chronic Pain Management.

Manar Ahmed Kamal, Zainab Ismail, Islam Mohammad Shehata, Soumia Djirar, Norris C Talbot, Shahab Ahmadzadeh, Sahar Shekoohi, Elyse M Cornett, Charles J Fox, Alan D Kaye

Open access · goldFull text readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinics and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
9.5field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

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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

10 authors at 5 institutions in 3 countries.

Manar Ahmed KamalFaculty of Medicine, Benha University, Benha 13511, Egypt.ORCID 0000-0003-4339-1788
Zainab IsmailFaculty of Medicine, Menoufia University, Shiben El Kom 51123, Egypt.
Islam Mohammad ShehataDepartment of Anesthesiology, Faculty of Medicine, Ain Shams University, Cairo 11517, Egypt.ORCID 0000-0003-3663-3056
Soumia DjirarDepartment of Ophthalmology, University of Montreal, Montreal, QC H3T 1J4, Canada.
Norris C TalbotSchool of Medicine, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA 71103, USA.
Shahab AhmadzadehDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA 71103, USA.
Sahar ShekoohiDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA 71103, USA.
Elyse M CornettDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA 71103, USA.ORCID 0000-0001-7961-3931
Charles J FoxDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA 71103, USA.
Alan D KayeDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, Shreveport, LA 71103, USA.
Louisiana State University Health Sciences Center Shreveport · USAin Shams University · EGBenha University · EGMenoufia University · EGUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telemedicine, telehealth, and E-health all offer significant benefits for pain management and healthcare services by fostering the physician-patient relationship in otherwise challenging circumstances. A critical component of these artificial-intelligence-based health systems is the "agent-based system", which is rapidly evolving as a means of resolving complicated or straightforward problems. Multi-Agent Systems (MAS) are well-established modeling and problem-solving modalities that model and solve real-world problems. MAS's core concept is to foster communication and cooperation among agents, which are broadly considered intelligent autonomous factors, to address diverse challenges. MAS are used in various telecommunications applications, including the internet, robotics, healthcare, and medicine. Furthermore, MAS and information technology are utilized to enhance patient-centered palliative care. While telemedicine, E-health, and MAS all play critical roles in managing chronic pain, the published research on their use in treating chronic pain is currently limited. This paper discusses why telemedicine, E-health, and MAS are the most critical novel technologies for providing healthcare and managing chronic pain. This review also provides context for identifying the advantages and disadvantages of each application's features, which may serve as a useful tool for researchers.

Indexed as

chronic paine-healthmulti-agent systemspain managementtelemedicine

Identifiers

PMID36961067
PMCPMC10037594
OpenAlexW4328094108

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read1
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.