Evidence map›Paper›PMID 39335548›Full record

ArticleBiomedicines2024

Clinical Characteristics Associated with the PLP-PLS Index, a New Potential Metric to Phenotype Phantom Limb Pain.

Jorge Ortega-Márquez, Justyna Garnier, Lucas Mena, Ana Victoria Palagi Vigano, Eleonora Boschetti Grützmacher, Gabriel Vallejos-Penaloza, Valton Costa, Daniela Martinez-Magallanes, Antonio Vaz de Macedo, Waynice Neiva de Paula-Garcia and 3 more

Abstract read
In one paragraph

Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Phantom Limb Pain Assessment Tools: A Literature Review Exploring Strengths and Limitations.Archives of rehabilitation research and clinical translation · 2025
    Review
  4. 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

13 authors.

Jorge Ortega-MárquezMaster of Medical Sciences in Clinical Investigation, Harvard Medical School, Boston, MA 02115, USA.
Justyna GarnierDepartment of Psychology, SWPS University of Social Sciences and Humanities, 03-815 Warsaw, Poland.
Lucas MenaHospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo 05508-220, Brazil.ORCID 0000-0002-2581-2668
Ana Victoria Palagi ViganoGrupo de Ombro e Cotovelo, Faculdade de Medicina do ABC, Santo André 09060-870, Brazil.
Eleonora Boschetti GrützmacherPraxis Am Lichterfelde West, 12205 Berlin, Germany.
Gabriel Vallejos-PenalozaDepartamento de Ginecología y Obstetricia, Facultad de Medicina, Clínica Alemana, Universidad del Desarrollo, Santiago 7610315, Chile.ORCID 0009-0007-8850-1553
Valton CostaNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-2356-7523
Daniela Martinez-MagallanesNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-8428-9037
Antonio Vaz de MacedoHematology Clinic, Hospital da Polícia Militar, Belo Horizonte, Minas Gerais 30110-013, Brazil.
Waynice Neiva de Paula-GarciaAC Camargo Cancer Center, São Paulo 01509-010, Brazil.
Denise Saretta SchwartzDepartamento de Clínica Médica, Faculdade de Medicina Veterinária e Zootecnia (FMVZ), Universidade de São Paulo, São Paulo 05508-220, Brazil.
Felipe FregniNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-1703-7526
Kevin Pacheco-BarriosNeuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.

Funding

Pragmatic Trial of Remote tDCS and Somatosensory Training for Phantom Limb Pain with Machine Learning to Predict Treatment ResponseR01HD082302 · NICHD · SPAULDING REHABILITATION HOSPITAL · PI Felipe Fregni · 2015 to 2026
$4.7M
NICHD NIH HHS R01 HD082302
6 · The paper itself

Abstract

backgroundPhantom limb pain (PLP) is highly prevalent after amputation. However, the influence of non-painful sensations (PLS) remains unclear. This study examines the PLP-PLS index as a novel tool to differentiate PLP from PLS and explores the association of clinical factors with the index.

methodsWe conducted a cross-sectional analysis of baseline data from 112 participants in a previous factorial trial in patients with unilateral traumatic lower limb amputation. Linear regression models were used to examine the associations between the index and various demographic, psychological and clinical factors. Logistic and Poisson regression, and e-value calculation were utilized for sensitivity analyses.

resultsAdjusted multivariable linear regression models demonstrated significant associations of phantom movement sensation (β: -1.532; 95% CI: -2.615 to -0.449;

conclusionsTime since amputation and phantom movement sensation likely reflect distinct phenotypes and potential mechanisms for PLP and PLS. The PLP-PLS index is a promising clinical tool for selecting therapies to prevent/treat PLP and for measuring treatment effects to modulate phantom pain. These findings emphasize the importance of understanding the mechanisms underlying PLP and PLS for improving clinical management and guiding future research.

Indexed as

adaptive neuroplasticitylower limb amputationphantom limb painphantom limb sensation

Identifiers

PMID39335548
PMCPMC11429012

What Socratic 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 Socratic graph.