Evidence map›Paper›PMID 39389639›Full record

ReviewPhysical medicine and rehabilitation clinics of North America2024

Predicting Functional Outcomes Following Dysvascular Lower Limb Amputation: An Evidence Review of Personalizing Patient Outcomes.

Daniel C Norvell, Alison W Henderson, Elizabeth G Halsne, David C Morgenroth

Abstract readReview
In one paragraph

Review in Physical medicine and rehabilitation clinics of North America, 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

4 authors.

Daniel C NorvellVA Center for Limb Loss and Mobility (CLiMB), VA Puget Sound Health Care System, 1660 South Columbian Way, MS 151-R, Seattle, WA 98108, USA. Electronic address: daniel.norvell@va.gov.
Alison W HendersonDepartment of Rehabilitation Medicine, University of Washington, 325 Ninth Avenue, Box 359612, Seattle, WA 98104, USA.
Elizabeth G HalsneVA Center for Limb Loss and Mobility (CLiMB), VA Puget Sound Health Care System, 1660 South Columbian Way, MS 151-R, Seattle, WA 98108, USA.
David C MorgenrothVA Center for Limb Loss and Mobility (CLiMB), VA Puget Sound Health Care System, 1660 South Columbian Way, MS 151-R, Seattle, WA 98108, USA.

Funding

RRD VA I01 RX002960
6 · The paper itself

Abstract

Most research on people undergoing lower limb amputations for dysvascular disease summarizes average patient outcome risks and average associations between patient factors and these outcomes. More recently, the importance of predicting patient-specific outcomes based on individual factors (ie, personalized rehabilitation) has become evident. This article reviews the evidence and discusses the importance of the following: (1) predicting outcomes to facilitate amputation-level and prosthesis prescription decisions and (2) how prediction models can be leveraged to develop decision support tools to facilitate provider/patient shared decision-making to ensure decisions considering each individual patient's priorities and preferences. Examples of these tools are discussed and referenced.

Indexed as

Amputation, SurgicalLower ExtremityArtificial LimbsHumansPeripheral Vascular DiseasesAmputationDecision support toolsPredicting outcomesProsthetics

Identifiers

PMID39389639
PMCPMC11849136

What OpenQuestion holds

Textmetadata
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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.