Evidence map›Paper›PMID 40602395›Full record

Trial reportHandchirurgie, Mikrochirurgie, plastische Chirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Handchirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Mikrochirurgie der Peripheren Nerven und Gefasse : Organ der V...2025

[Physiotherapy in Your Pocket: Effectiveness of Home Exercises Using an AI-Based Smartphone App for the Postoperative Follow-Up of Hand Injuries - A Randomized, Controlled, Open-Label Study].

Simon Bauknecht, Richard Moeller, Martin Mentzel, Michael Lebelt, Jürgen Mack, Daniel Vergote

Abstract readRandomized Controlled TrialEnglish Abstract
In one paragraph

Trial report in Handchirurgie, Mikrochirurgie, plastische Chirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Handchirurgie : Organ der Deutschsprachigen Arbeitsgemeinschaft fur Mikrochirurgie der Peripheren Nerven und Gefasse : Organ der V..., 2025. 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

6 authors.

Simon BauknechtKlinik für Unfall-, Hand-, Plastische und Wiederherstellungschirurgie, Universitätsklinikum Ulm, Ulm, Germany.ORCID 0000-0003-3899-0866
Richard MoellerKlinik für Unfall-, Hand-, Plastische und Wiederherstellungschirurgie, Universitätsklinikum Ulm, Ulm, Germany.ORCID 0000-0002-4866-2164
Martin MentzelKlinik für Unfall-, Hand-, Plastische und Wiederherstellungschirurgie, Universitätsklinikum Ulm, Ulm, Germany.
Michael LebeltKlinik für Unfall-, Hand-, Plastische und Wiederherstellungschirurgie, Universitätsklinikum Ulm, Ulm, Germany.
Jürgen MackPraxis, physiotherapie MACK, Ulm, Germany.
Daniel VergoteKlinik für Unfall-, Hand-, Plastische und Wiederherstellungschirurgie, Universitätsklinikum Ulm, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hand injuries can cause considerable functional limitations. Successful surgical treatment requires intensive rehabilitation. However, it is often difficult for patients to obtain timely appointments with a therapist. Several studies have already demonstrated the potential of home exercises. The aim of this study is to investigate the effectiveness of an additional hand therapy app compared to physiotherapy alone.This is a prospective, randomized, controlled, open-label study. A total of 112 patients aged 18 to 65 years (MV±SD: 36.9 years±15.5) with metacarpal and finger fractures as well as flexor and extensor tendon injuries participated. The app uses artificial intelligence (AI) and the smartphone's integrated camera to capture finger movements and determine the range of motion (ROM). Furthermore, the integrated AI automatically adjusts the type and intensity of treatment based on the patient's therapy progress and symptoms. The patients were divided into two groups. The intervention group (IG) received the app Novio Hand for 12 weeks after the immobilization phase in addition to hand therapy (18 units) as standard care (SoC). The control group (CG) received SoC alone. Improvement in ROM was measured at baseline and after 2, 6, and 12 weeks.Independent t-tests showed significantly greater ROM in the IG compared to the CG at 2 and 6 weeks (p=0.02). A significant trend was observed at 12 weeks. In the IG (50%), significantly more patients achieved the minimal clinically important difference (MCID) of 40 degrees compared to the CG (26%). At 6 weeks, the difference was also significant (IG: 79%, KG: 54%). In the IG, fractures showed an almost full range of motion on average after 6 weeks, whereas in the CG, significant movement deficits could still be quantified after 12 weeks.Therapy with the Novio Hand app, in addition to SoC can accelerate rehabilitation and improve functional results. The hand therapy app effectively serves as a "physiotherapist" in your pocket, allowing for regular training at any time and from any location.

Indexed as

Artificial IntelligenceExercise TherapyFractures, BoneHand InjuriesMetacarpal BonesMobile ApplicationsTendon InjuriesAdolescentAdultAgedFemaleFinger InjuriesFollow-Up StudiesHumansMaleMiddle Aged

Identifiers

PMID40602395
PMCPMC12221472

What OpenQuestion holds

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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.