Evidence map›Paper›PMID 39033239›Full record

ArticleScientific data2024

FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patients.

Valerio Antonio Arcobelli, Serena Moscato, Pierpaolo Palumbo, Alberto Marfoglia, Filippo Nardini, Pericle Randi, Angelo Davalli, Antonella Carbonaro, Lorenzo Chiari, Sabato Mellone

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Valerio Antonio ArcobelliDepartment of Electrical, Electronic and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Bologna, Italy. valerio.arcobelli2@unibo.it.ORCID 0000-0002-1262-9899
Serena MoscatoDepartment of Electrical, Electronic and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Bologna, Italy. serena.moscato3@unibo.it.
Pierpaolo PalumboDepartment of Electrical, Electronic and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Bologna, Italy. pierpaolo.palumbo@unibo.it.
Alberto MarfogliaDepartment of Computer Science and Engineering - DISI, University of Bologna, Bologna, Italy.
Filippo NardiniDepartment of Industrial Engineering - DIN, University of Bologna, Bologna, Italy.
Pericle RandiUnità operativa di medicina fisica e riabilitazione, INAIL Centro Protesi, Vigorso di Budrio, Italy.
Angelo DavalliArea ricerca e formazione, INAIL Centro Protesi, Vigorso di Budrio, Italy.
Antonella CarbonaroDepartment of Computer Science and Engineering - DISI, University of Bologna, Bologna, Italy.
Lorenzo ChiariDepartment of Electrical, Electronic and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Bologna, Italy.ORCID 0000-0002-2318-4370
Sabato MelloneDepartment of Electrical, Electronic and Information Engineering "Guglielmo Marconi" - DEI, University of Bologna, Bologna, Italy.ORCID 0000-0001-7688-0188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower limb amputation is a medical intervention which causes motor disability and may compromise quality of life. Several factors determine patients' health outcomes, including an appropriate prosthetic provision and an effective rehabilitation program, necessitating a thorough quantitative observation through different data sources. In this context, the role of interoperability becomes essential, facilitating the reuse of real-world data through the provision of structured and easily accessible databases. This study introduces a comprehensive 10-year dataset encompassing clinical features, mobility measurements, and prosthetic knees of 1006 trans-femoral amputees during 1962 hospital stays for rehabilitation. The dataset is made available in both comma-separated values (CSV) format and HL7 Fast Healthcare Interoperability Resources (FHIR)-based representation, ensuring broad utility and compatibility for researchers and healthcare practitioners. This initiative contributes to advancing community understanding of post-amputation rehabilitation and underscores the significance of interoperability in promoting seamless data sharing for meaningful insights into healthcare outcomes.

Indexed as

Amputation, SurgicalAmputeesArtificial LimbsData CollectionFemurHumans

Identifiers

PMID39033239
PMCPMC11271302

What OpenQuestion 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 OpenQuestion graph.