Evidence map›Paper›PMID 38026454›Full record

ArticleJournal of pain research2023

Risk Factors Analysis of Phantom Limb Pain in Amputees with Malignant Tumors.

Xiulin Huo, Peiying Huang, Hexuan Di, Tianxiao Ma, Sufang Jiang, Jie Yao, Lining Huang

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Spinal cord stimulation for the treatment of phantom limb pain: A case report and literature review.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  5. Article
  6. 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

7 authors at 2 institutions in 1 country.

Xiulin HuoDepartment of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0009-0004-1350-714X
Peiying HuangDepartment of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Hexuan DiDepartment of Orthopaedic Surgery, The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Tianxiao MaDepartment of Orthopaedic Surgery, The Key Laboratory of Orthopedic Biomechanics of Hebei Province, The Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Sufang JiangDepartment of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Jie YaoDepartment of Anesthesiology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, People's Republic of China.
Lining HuangDepartment of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0000-0001-5754-2706
Hebei Medical University · CNHebei North University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Postamputation neuropathic pain is a common disease in patients with malignant tumor amputation, seriously affecting amputees' quality of life and mental health. The objective of this study was to identify independent risk factors for phantom limb pain in patients with tumor amputation and to construct a risk prediction model. Methods: Patients who underwent amputation due to malignant tumors from 2013 to 2023 were retrospectively analyzed and divided into phantom limb pain group and non-phantom limb pain group. To determine which preoperative factors would affect the occurrence of phantom limb pain, we searched for candidate factors by univariate analysis and used multivariate logistic regression analysis to identify independent factors and construct a predictive model. The receiver operating characteristic curve (ROC) was drawn to further evaluate the accuracy of the prediction model in evaluating the phantom limb pain after amputation of bone and soft tissue tumors. Results: Multivariate analysis showed that age (OR, 1.054; 95% CI, 1.027 to 1.080), preoperative pain (OR, 5.773; 95% CI, 2.362 to 14.104), number of surgeries (OR, 3.425; 95% CI, 1.505 to 7.795), amputation site (OR, 5.848; 95% CI, 1.837 to 18.620), amputation level (OR, 8.031; 95% CI, 2.491 to 25.888) were independent risk factors for phantom limb pain for bone and soft tissue tumors. The the area under the curve (AUC) of this model was 0.834. Conclusion: Risk factors for postoperative phantom limb pain were the site of amputation, proximal amputation, preoperative pain, multiple amputations, and older age. These factors will help surgeons to individualize and stratify phantom limb pain and help patients with risk counseling. In particular, an informed clinical decision targeting those modifiable factors can be considered when needed.

Indexed as

amputationbone and soft tissue tumorsneuropathic painphantom limb painprediction modelrisk factors

Identifiers

PMID38026454
PMCPMC10676115
OpenAlexW4388839905

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.