Evidence map›Paper›PMID 37801082›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2024

Evaluation of mobility recovery after hip fracture: a scoping review of randomized controlled studies.

K Taraldsen, A Polhemus, M Engdal, C-P Jansen, C Becker, N Brenner, H Blain, L G Johnsen, B Vereijken

Open access · hybridAbstract readScoping Review
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

16 citing papers in PubMed, 18 citations in OpenAlex.

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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

9 authors at 5 institutions in 4 countries.

K TaraldsenDepartment of Rehabilitation Science and Health Technology, OsloMet, Oslo, Norway. Kristin.Taraldsen@oslomet.no.ORCID http://orcid.org/0000-0002-8466-5450
A PolhemusEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-5056-5785
M EngdalDepartment of Neuromedicine and Movement Science, NTNU, Trondheim, Norway.ORCID https://orcid.org/0009-0007-4854-2561
C-P JansenDepartment of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany.ORCID https://orcid.org/0000-0002-2779-7019
C BeckerDepartment of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany.ORCID https://orcid.org/0000-0003-1624-8353
N BrennerDepartment of Clinical Gerontology, Robert Bosch Hospital, Stuttgart, Baden-Württemberg, Germany.ORCID https://orcid.org/0009-0001-6015-4015
H BlainDepartment of Geriatrics, Montpellier University Hospital and Montpellier University MUSE, Montpellier, France.ORCID https://orcid.org/0000-0002-0177-2470
L G JohnsenDepartment of Neuromedicine and Movement Science, NTNU, Trondheim, Norway.ORCID https://orcid.org/0000-0001-5500-498X
B VereijkenDepartment of Neuromedicine and Movement Science, NTNU, Trondheim, Norway.ORCID https://orcid.org/0000-0002-2231-8138
Norwegian University of Science and Technology · NORobert Bosch Hospital · DEOsloMet – Oslo Metropolitan University · NOUniversité de Montpellier · FRUniversity of Zurich · CH

Funding

IMI project supported from the EU's Horizon 2020 Grant agreement No. 820820
6 · The paper itself

Abstract

Few older adults regain their pre-fracture mobility after a hip fracture. Intervention studies evaluating effects on gait typically use short clinical tests or in-lab parameters that are often limited to gait speed only. Measurements of mobility in daily life settings exist and should be considered to a greater extent than today. Less than half of hip fracture patients regain their pre-fracture mobility. Mobility recovery is closely linked to health status and quality of life, but there is no comprehensive overview of how gait has been evaluated in intervention studies on hip fracture patients. The purpose was to identify what gait parameters have been used in randomized controlled trials to assess intervention effects on older people's mobility recovery after hip fracture. This scoping review is a secondary paper that identified relevant peer-reviewed and grey literature from 11 databases. After abstract and full-text screening, 24 papers from the original review and 8 from an updated search and manual screening were included. Records were eligible if they included gait parameters in RCTs on hip fracture patients. We included 32 papers from 29 trials (2754 unique participants). Gait parameters were primary endpoint in six studies only. Gait was predominantly evaluated as short walking, with gait speed being most frequently studied. Only five studies reported gait parameters from wearable sensors. Evidence on mobility improvement after interventions in hip fracture patients is largely limited to gait speed as assessed in a controlled setting. The transition from traditional clinical and in-lab to out-of-lab gait assessment is needed to assess effects of interventions on mobility recovery after hip fracture at higher granularity in all aspects of patients' lives, so that optimal care pathways can be defined.

Indexed as

Hip FracturesQuality of LifeAgedGaitHumansPhysical Therapy ModalitiesRandomized Controlled Trials as TopicWalkingAccelerometryDigital mobility outcomesGaitHip fractureMobility

Identifiers

PMID37801082
PMCPMC10837269
OpenAlexW4387392590

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.