ReviewJournal of pain research2022
An Algorithm Approach to Phantom Limb Pain.
Review in Journal of pain research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cryoneurolysis for phantom limb pain: a systematic review.Pain management · 2024Pooled it
- Graded Motor Imagery (GRAMI Protocol) for Phantom Limb Pain: A Randomised Clinical Trial of Home-Based Intervention.European journal of pain (London, England) · 2026Trial
- Compensatory Failure of Autonomic Regulation in Phantom Limb Pain and Its Correlation with Maladaptive Plasticity: A Cross-Sectional HRV Study in Amputees.Biomedicines · 2025Article
- Phantom Limb Pain Assessment Tools: A Literature Review Exploring Strengths and Limitations.Archives of rehabilitation research and clinical translation · 2025Review
- Treating Lower Phantom Limb Pain in the Postoperative Acute Care Setting Using Virtual Reality: Protocol for a 4-Phase Development and Feasibility Trial.JMIR research protocols · 2025Article
- Phantom Limb Pain Management.The Journal of hand surgery · 2025Review
- The Role of Preemptive Perioperative Analgesia in Prevention of Chronic Phantom Pain: A Systematic Review and Meta-analysis.Medical journal of the Islamic Republic of Iran · 2025Review
- Pain without presence: a narrative review of the pathophysiological landscape of phantom limb pain.Frontiers in pain research (Lausanne, Switzerland) · 2025Review
- Phantom limb syndrome: from pathogenesis to treatment. A narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Review
- Clinical Characteristics Associated with the PLP-PLS Index, a New Potential Metric to Phenotype Phantom Limb Pain.Biomedicines · 2024Article
- Effect of Vibration on Acute and Chronic Back Pain After Spinal Anesthesia: A Randomized Clinical Trial.Anesthesiology and pain medicine · 2024Article
- A case of phantom pain and stump pain that was effectively controlled by ultrasound-guided ulnar and median peripheral nerve blocks.Clinical case reports · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phantom limb pain (PLP) is a common condition that occurs following both upper and lower limb amputation. First recognized and described in 1551 by Ambroise Pare, research into its underlying pathology and effective treatments remains a very active and growing field. To date, however, there is little consensus regarding the optimal management of phantom limb pain. With few large well-designed clinical trials of which to make treatment recommendations, as well as significant heterogeneity in clinical response to available treatments, the management of PLP remains challenging. Below we summarize the current state of knowledge in the field, as well as propose an algorithm for the approach to the treatment of PLP.
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Registered trials
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.