Evidence map›Paper›PMID 40880680›Full record

ArticleCurrent physical medicine and rehabilitation reports2024

A Narrative Review of Prosthesis Design Decision Making After Lower-Limb Amputation for Developing Shared Decision-Making Resources.

Chelsey B Anderson, Stefania Fatone, Cory L Christiansen

Abstract read
In one paragraph

Article in Current physical medicine and rehabilitation reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Chelsey B AndersonDepartment of Physical Medicine and Rehabilitation, Physical Therapy Program, University of Colorado, Aurora, CO, USA.
Stefania FatoneDepartment of Rehabilitation Medicine, Division of Prosthetics and Orthotics, University of Washington, Seattle, WA, USA.
Cory L ChristiansenDepartment of Physical Medicine and Rehabilitation, Physical Therapy Program, University of Colorado, Aurora, CO, USA.

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Colorado Clinical and Translational Sciences Institute (CCTSI)UM1TR004399 · NCATS · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS, RONALD J. SOKOL · 2023 to 2026
$30.7M
NCATS NIH HHS UL1 TR002535NCATS NIH HHS UM1 TR004399
6 · The paper itself

Abstract

Purpose: This narrative review explores available information on the process for prosthesis design and factors influencing prosthesis design decision making, to support prosthesis user's participation in shared decision making about lower-limb prosthesis design. Recent Findings: The prosthesis design process involves the fabrication of a first prosthesis and/or adjustments to a prosthesis throughout the life of the prosthesis user. Factors that influence prosthesis design decisions are extensive and may be specific to the individual prosthesis user, to prosthesis design options, the available resources, and/or the environment. Summary: This review offers foundational information for a prosthesis user's participation in shared decision making for prosthesis design, including the process of prosthesis design and factors influencing prosthesis design decisions. Future research is needed to further describe the timing of prosthesis design decisions, prosthesis design changes over time, and the role of physical and life changes of a prosthesis user on prosthesis design decisions.

Indexed as

Lower-limb amputationLower-limb prosthesisProsthesis designProsthesis design processShared decision making

Identifiers

PMID40880680
PMCPMC12383791

What OpenQuestion holds

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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.