Evidence map›Paper›PMID 39468726›Full record

ArticleAge and ageing2024

Real-world mobility recovery after hip fracture: secondary analyses of digital mobility outcomes from four randomized controlled trials.

Monika Engdal, Kristin Taraldsen, Carl-Philipp Jansen, Raphael Simon Peter, Beatrix Vereijken, Clemens Becker, Jorunn Laegdheim Helbostad, Jochen Klenk

Abstract read
In one paragraph

Article in Age and ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Disease Burden Attributable to Hip Fractures in Asian Women.International journal of women's health · 2026
    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

8 authors.

Monika EngdalDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Edvard Griegs gate 8, 7030 Trondheim, Norway.
Kristin TaraldsenDepartment of Rehabilitation Science and Health Technology, Oslo Metropolitan University (OsloMet), Pilestredet 46, 0167 Oslo, Norway.
Carl-Philipp JansenDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstraße 110, 70376 Stuttgart, Germany.ORCID 0000-0002-2779-7019
Raphael Simon PeterInstitute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081 Ulm, Germany.
Beatrix VereijkenDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Edvard Griegs gate 8, 7030 Trondheim, Norway.
Clemens BeckerDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstraße 110, 70376 Stuttgart, Germany.ORCID 0000-0003-1624-8353
Jorunn Laegdheim HelbostadDepartment of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Edvard Griegs gate 8, 7030 Trondheim, Norway.
Jochen KlenkDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstraße 110, 70376 Stuttgart, Germany.

Funding

German Federal Ministry of Education and ResearchGerman Federal Ministry of Education and Research 01EC1404A-C
6 · The paper itself

Abstract

backgroundThe main focus of rehabilitation following hip fracture is to regain mobility.

objectivesTo estimate the progression of real-world mobility the first year after hip fracture using digital mobility outcomes.

designAn exploratory, prospective cohort study with pooled data from four previously conducted clinical trials. SETTING AND SUBJECTS: We combined data from the Trondheim Hip Fracture Trial and Eva-Hip Trial in Trondheim, Norway, and the PROFinD 1 and PROFinD 2 trials in Stuttgart and Heidelberg, Germany, resulting in a sample of 717 hip fracture patients aged ≥65 years.

methodsEach of the trials assessed mobility using body-fixed sensors (activPAL) at three time points, collectively providing observations across the entire first year post-surgery. The following 24-h DMOs were calculated: total walking duration (minutes), maximum number of steps within a walking bout, and number of sit-to-stand-to-walk transfers. Continuous 1-year progression of the median, the 25th percentile, and the 75th percentile were estimated using quantile regression models with splines.

resultsThe dataset contained 5909 observation days. The median daily total walking duration increased until 36 weeks post-surgery reaching 40 min; daily maximum number of steps within a walking bout increased during the first eight weeks and then stabilized at less than 100 steps; daily sit-to-stand-to-walk transfers reached a plateau after 6 weeks with less than 40 transfers.

conclusionsThe three DMOs progressed differently and attained plateau levels at varying times during the first year after hip fracture, indicating that these Digital Mobility Outcomes provide complementary information about different aspects of mobility recovery.

Indexed as

Hip FracturesRandomized Controlled Trials as TopicRecovery of FunctionWalkingAgedAged, 80 and overFemaleFitness TrackersGermanyHumansMaleMobility LimitationNorwayProspective StudiesTime FactorsTreatment Outcomedigital mobility outcomeship fracturemobilityolder peoplereal-world mobilityrecovery

Identifiers

PMID39468726
PMCPMC11518866

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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.