Evidence map›Paper›PMID 40301975›Full record

SynthesisJournal of neuroengineering and rehabilitation2025

Methods to assess lower limb prosthetic adaptation: a systematic review.

Natali Olaya-Mira, Luz Marina Gómez-Hernández, Carolina Viloria-Barragán, Isabel Cristina Soto-Cardona

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of neuroengineering and rehabilitation, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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.

Natali Olaya-MiraGrupo de Investigación e Innovación Biomédica, Instituto Tecnológico Metropolitano, Medellin, Colombia. nataliolaya@itm.edu.co.
Luz Marina Gómez-HernándezGrupo de Investigación e Innovación Biomédica, Instituto Tecnológico Metropolitano, Medellin, Colombia.
Carolina Viloria-BarragánGrupo de Investigación e Innovación Biomédica, Instituto Tecnológico Metropolitano, Medellin, Colombia.
Isabel Cristina Soto-CardonaGrupo de Investigación e Innovación Biomédica, Instituto Tecnológico Metropolitano, Medellin, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLower limb amputation is a disabling condition with serious psychological, physical, and functional consequences. The adaptation of a prosthetic device can either mitigate or exacerbate these effects. Although many individuals receive lower limb prostheses, rejection rates remain high. Furthermore, while numerous objective and quantitative methods are available to assess the interface between the residual limb and the prosthetic socket, as well as the device performance, prosthetic fitting largely relies on prosthetists' observation and expertise. Accordingly, this review describes the most commonly employed methods for evaluating prosthetic fitting, emphasizing frequently used combinations of tools, devices, procedures, and tests for characterizing residual limbs and clinical outcomes, which indirectly contribute to prosthetic fitting evaluation. MAIN BODY: In July 2023, searches were conducted across the Taylor & Francis, SpringerLink, Sage, ScienceDirect, and Scopus databases, focusing on research papers, case reports, and technical briefs published between 2011 and 2023. Studies were selected by four reviewers, and any discrepancies were resolved through group discussions. The Rayyan tool was employed to ensure that the retrieved publications evaluated residual limb variables involved in prosthetic fitting. The predominant methods for assessing lower-limb prosthetic fitting include mobility evaluation, gait analysis, measurement of physical variables, and stability assessment. Functional tests and self-report questionnaires, which do not require specialized equipment or great expertise, are the most widely utilized techniques.

conclusionsThe results demonstrate that, within clinical practice, mobility evaluation is the primary predictor of prosthetic fitting. Since methodologies for measuring more specific variables are often restricted to laboratory settings, future studies should analyze factors that could enable their implementation in clinical contexts.

Indexed as

Adaptation, PhysiologicalAmputation, SurgicalAmputeesArtificial LimbsLower ExtremityProsthesis FittingHumansProsthesis Designassessment of persons with amputationevaluation of the stumplower limbprosthetic fittingresidual lower limb

Identifiers

PMID40301975
PMCPMC12042526

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.