Evidence map›Paper›PMID 37744202›Full record

ArticleArchives of rehabilitation research and clinical translation2023

PROClass: The Development and Validation of a Novel Prosthetic Component Sophistication Classification System.

Daniel C Norvell, Wayne T Biggs, Jeffrey Bott, Alison W Henderson, Kathryn P Moore, Joseph M Czerniecki

Abstract read
In one paragraph

Article in Archives of rehabilitation research and clinical translation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

6 authors.

Daniel C NorvellVA Puget Sound Health Care System, Seattle, WA.
Wayne T BiggsVA Puget Sound Health Care System, Seattle, WA.
Jeffrey BottVA in the Orthotic, Prosthetic, and Orthic Clinical Services Program Office, Washington, DC.
Alison W HendersonVA Puget Sound Health Care System, Seattle, WA.
Kathryn P MooreVA Puget Sound Health Care System, Seattle, WA.
Joseph M CzernieckiVA Puget Sound Health Care System, Seattle, WA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop a lower limb prosthesis (LLP) sophistication classification system that categorizes prosthetic component prescriptions into "basic," "intermediate," and "advanced" and assess its content validity, reliability, and accuracy. Design: Classification development and validation study. Setting: The Veterans Affairs (VA) Corporate Data Warehouse database and National Prosthetics Patient Database were used to identify patients undergoing their first amputation at the transtibial or transfemoral level due to diabetes or peripheral artery disease and to identify the associated codes for each LLP. Participants: An expert panel of 6 nationally recognized certified prosthetists, a national expert in VA prosthetics data and coding, a physical medicine and rehabilitation physician, and an epidemiologist developed an LLP classification system ( Main Outcome Measures: The expert panel reviewed 20 consecutive participants meeting study criteria for the development of the Results: The interrater and intrarater reliability was almost perfect with Gwet's AC1 values ranging from .82 to .96 for both expert panel members and research assistants. The accuracy of the research assistant's classifications to the "criterion standard" was excellent with Gwet's AC1 values ranging between .75 and .92. Conclusions:

Indexed as

AccuracyClassification systemLower limb amputationLower limb prosthesisRehabilitationReliability

Identifiers

PMID37744202
PMCPMC10517350

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.