Evidence map›Paper›PMID 40547244›Full record

ReviewWorld journal of orthopedics2025

Innovative exploration of phantom limb pain treatment based on extended reality technology.

Di Gan, Shi-Yuan Wang, Kun Liu, Shi-Yu Zhang, Hui Huang, Jia-Hui Xing, Chun-Hui Qin, Kai-Yang Wang, Tao Wang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of orthopedics, 2025. 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
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.

  1. Article
  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

9 authors.

Di GanTrauma Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Shi-Yuan WangDepartment of Computer Science, University of Science and Technology of China, Hefei 230026, Anhui Province, China.
Kun LiuTrauma Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Shi-Yu ZhangDepartment of R and D, Shanghai Reacool Medical Technology Co., Ltd, Shanghai 200041, China.
Hui HuangTrauma Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Jia-Hui XingDepartment of R and D, Shanghai Reacool Medical Technology Co., Ltd, Shanghai 200041, China.
Chun-Hui QinDepartment of R and D, Shanghai Reacool Medical Technology Co., Ltd, Shanghai 200041, China.
Kai-Yang WangTrauma Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China.
Tao WangTrauma Center, Tongji Hospital, School of Medicine, Tongji University, Shanghai 200065, China. wt@daychina.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phantom limb pain (PLP) is not only a physical pain experience but also poses a significant challenge to mental health and quality of life. Currently, the mechanism of PLP treatment is still unclear, and there are many methods with varying effects. This article starts with the application research of extended reality technology in PLP treatment, through describing the application of its branch technologies (virtual reality, augmented reality, and mixed reality technology), to lay the foundation for subsequent research, in the hope of finding advanced and effective treatment methods, and providing a basis for future product transformation.

Indexed as

Augmented realityExtended realityMixed realityPhantom limb painVirtual reality

Identifiers

PMID40547244
PMCPMC12179911

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.