Evidence map›Paper›PMID 29502531›Full record

ReviewMilitary Medical Research2018

Assistive technologies for pain management in people with amputation: a literature review.

Kamiar Ghoseiri, Mostafa Allami, Mohammad Reza Soroush, Mohammad Yusuf Rastkhadiv

Open access · diamondAbstract readReview
In one paragraph

Review in Military Medical Research, 2018. 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
1.8field-weighted citation impact, top 17% 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, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Kamiar GhoseiriDepartment of Orthotics and Prosthetics, School of Rehabilitation Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
Mostafa AllamiJanbazan Medical and Engineering Research Center (JMERC), Farrokh Ave, Velenjak, Tehran, Iran. Iranassistive@gmail.com.
Mohammad Reza SoroushJanbazan Medical and Engineering Research Center (JMERC), Farrokh Ave, Velenjak, Tehran, Iran.
Mohammad Yusuf RastkhadivDepartment of Occupational Therapy, School of Rehabilitation Sciences, Hamadan University of Medical Sciences, Hamadan, Iran.
Hamedan University of Medical Sciences · IRJanbazan Medical and Engineering Research Center · IR

Funding

Janbazan Medical and Engineering Research Center (JMERC) 93-D-102
6 · The paper itself

Abstract

The prevalence of limb amputation is increasing globally as a devastating experience that can physically and psychologically affect the lifestyle of a person. The residual limb pain and phantom limb pain are common disabling sequelae after amputation surgery. Assistive devices/technologies can be used to relieve pain in people with amputation. The existing assistive devices/technologies for pain management in people with amputation include electrical nerve block devices/technologies, TENS units, elastomeric pumps and catheters, residual limb covers, laser systems, myoelectric prostheses and virtual reality systems, etc. There is a great potential to design, fabricate, and manufacture some portable, wireless, smart, and thin devices/technologies to stimulate the spinal cord or peripheral nerves by electrical, thermal, mechanical, and pharmaceutical stimulus. Although some preliminary efforts have been done, more attention must be paid by researchers, clinicians, designers, engineers, and manufacturers to the post amputation pain and its treatment methods.

Indexed as

Amputation, SurgicalExtremitiesHumansPain ManagementSelf-Help DevicesAcute painAmputation stumpsAmputeesChronic painPainPain managementSelf-help devices

Identifiers

PMID29502531
PMCPMC5778696
OpenAlexW2782670213

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.