Evidence map›Paper›PMID 37382870›Full record

ReviewCurrent pain and headache reports2023

Multi-agent Systems and Cancer Pain Management.

Tyler Alise Le, Arpi Jivalagian, Tasneem Hiba, Joshua Franz, Shahab Ahmadzadeh, Treniece Eubanks, Leisa Oglesby, Sahar Shekoohi, Elyse M Cornett, Alan D Kaye

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pain and headache reports, 2023. 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
1.0field-weighted citation impact, top 23% 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, 4 citations in OpenAlex.

  1. Review
  2. 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

10 authors at 2 institutions in 2 countries.

Tyler Alise LeAmerican University of the Caribbean, 1St University Drive, at Jordan Drive, Cupecoy, Sint Maarten.
Arpi JivalagianAmerican University of the Caribbean, 1St University Drive, at Jordan Drive, Cupecoy, Sint Maarten.
Tasneem HibaAmerican University of the Caribbean, 1St University Drive, at Jordan Drive, Cupecoy, Sint Maarten.
Joshua FranzAmerican University of the Caribbean, 1St University Drive, at Jordan Drive, Cupecoy, Sint Maarten.
Shahab AhmadzadehDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 71103, Shreveport, LA, USA.
Treniece EubanksDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 71103, Shreveport, LA, USA.
Leisa OglesbyLSU Health Shreveport, Graduate Medical Education, 1501 Kings Highway, 71103, Shreveport, LA, USA.
Sahar ShekoohiDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 71103, Shreveport, LA, USA. sahar.shekoohi@lsuhs.edu.ORCID http://orcid.org/0009-0007-4545-4523
Elyse M CornettDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 71103, Shreveport, LA, USA.
Alan D KayeDepartment of Anesthesiology, Louisiana State University Health Sciences Center at Shreveport, 71103, Shreveport, LA, USA.
Louisiana State University Health Sciences Center Shreveport · USAmerican University of the Caribbean School of Medicine · SX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe present investigation explores multi-agent systems, their function in cancer pain management, and how they might enhance patient care. Since cancer is a complex disease, technology can help doctors and patients coordinate care and communicate effectively. Even when a patient has a dedicated team, treatment may be fragmented. Multi-agent systems (MAS) are one component of technology that is making progress for cancer patients. Wireless sensory networks (WSN) and body area sensory networks (BASN) are examples of MAS. RECENT

findingsTechnology is advancing the care of patients, not only in everyday clinical practice, but also in creating accessible communication between patients and provider. Many hospitals have utilized electronic medical records (EHR), but recent advancements allowed the pre-existing infrastructure to network with personal devices creating a more congruent form of communications. Better communication can better organize pain management, leading to better clinical outcomes for patients, integrating body sensors, such as smart watch, or using self-reporting apps. Certain software applications are also used to help providers in early detections of some cancers, having accurate results. The integration of technology in the field of cancer management helps create an organized structure for cancer patients trying to understand/manage their complex diagnosis. The systems for the various healthcare entities can receive and access frequently updated information that can better provide better coverage of the patient's pain and still be within the legalities as it pertains to opioid medications. The systems include the EHR communicating with the information provided by the patient's cellular devices and then communicating with the healthcare team to determine the next step in management. This all happens automatically with much physical input from the patient decreasing the amount of effort from the patient and hopefully decreasing the number of patients' loss to follow-up.

Indexed as

NeoplasmsPain ManagementElectronic Health RecordsHumansPainPatient Care TeamBody area sensory networkCancer painCancer pain managementMulti-agent systemsWireless sensory networks

Identifiers

PMID37382870
OpenAlexW4382502589

What OpenQuestion holds

Textmetadata
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.