Evidence map›Paper›PMID 33547927›Full record

Trial reportArchives of orthopaedic and trauma surgery2021

App-based rehabilitation program after total knee arthroplasty: a randomized controlled trial.

Henrik C Bäcker, Chia H Wu, Matthias R G Schulz, Thomas Sanjay Weber-Spickschen, Carsten Perka, Sebastian Hardt

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Archives of orthopaedic and trauma surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 31 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 7 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.

NCT06735547 nacompletednot on this mapstarted 2023, after this paper: background citation

Effectiveness of a Mobile Telerehabilitation Tool Versus Conventional Treatment in Total Knee Arthroplasty: a Controlled Clinical Trial

TypeinterventionalSponsorSanitas UniversityRan2023 to 2024Enrolled216ConditionsMusculoskeletal Disorders, Knee Osteoarthritis (OA)ArmsTelerehabilitation, Conventional therapy group
NCT07362849 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Construction and Application of the Whole Course Management Scheme for Knee Arthroscopic Ligament Surgery Patients Based on "Internet +"

TypeinterventionalSponsorThe Fourth Affiliated Hospital of Zhejiang University School of MedicineRan2026 to 2027Enrolled60ConditionsPatients Undergoing Knee Arthroscopic Ligament SurgeryArmsAdded applications for closed-loop management of the entire disease course
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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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

6 authors.

Henrik C BäckerDepartment of Orthopaedic Surgery and Traumatology, Charité Berlin, University Hospital, Chariteplatz 1, 10117, Berlin, Germany. Henrik.baecker@sports-med.org.ORCID http://orcid.org/0000-0002-4265-477X
Chia H WuDepartment of Orthopedics and Sports Medicine, Baylor College of Medicine Medical Center, Houston, TX, USA.
Matthias R G SchulzDepartment of Orthopaedic Surgery and Traumatology, Charité Berlin, University Hospital, Chariteplatz 1, 10117, Berlin, Germany.
Thomas Sanjay Weber-SpickschenInstitute of Sports Medicine, Hannover Medical School, Podbielskistrasse 380, 30659, Hannover, Germany.
Carsten PerkaDepartment of Orthopaedic Surgery and Traumatology, Charité Berlin, University Hospital, Chariteplatz 1, 10117, Berlin, Germany.
Sebastian HardtDepartment of Orthopaedic Surgery and Traumatology, Charité Berlin, University Hospital, Chariteplatz 1, 10117, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNew app-based programs for postoperative rehabilitation have been developed, but no long-term study has been published to date. Thus, a prospective randomized control trial with 2-year follow-up was performed to evaluate the effectiveness of app-based rehabilitation (GenuSport) compared to a control group after total knee arthroplasty (TKA).

methodsBetween April and October 2016, 60 patients were enrolled in the study. Twenty-five patients were lost to follow-up, leaving 35 patients undergoing TKA for inclusion. In this group, twenty patients received app-based exercise program and 15 were randomized to the control group. The mean age was 64.37 ± 9.32 years with a mean follow-up of 23.51 ± 1.63 months. Patients in the app group underwent an app-based knee training starting on the day of surgery; whereas, patients in the control group underwent regular physiotherapy. Functional outcome scores using the Knee Injury and Osteoarthritis Outcome Score (KOOS), Knee Society Score (KSS) and VAS of pain were analyzed.

resultsIn the short term, significant differences between the app group and control group in time of 10-m walk (19.66 ± 7.80 vs. 27.08 ± 15.46 s; p = 0.029), VAS pain at rest and activity (2.65 ± 0.82 vs. 3.57 ± 1.58, respectively 4.03 ± 1.26 vs. 5.05 ± 1.21; p < 0.05) were observed. In the long term, a variety of different tendencies was found, highest in KSS Function with 76.32 ± 16.49 (app group) vs. 67.67 ± 16.57 (control group) (p = 0.130). Additionally, patients in the app group required less painkillers (10.0% vs. 26.7%) and more likely to participate in sports (65.0% vs. 53.3%).

conclusionsAn app-based knee trainer is a promising tool in improving functional outcomes such as KSS function score and VAS after TKA. LEVEL OF EVIDENCE: Level II, prospective randomized control trial.

Indexed as

Arthroplasty, Replacement, KneeMobile ApplicationsOsteoarthritis, KneeAgedFemaleHumansMaleMiddle AgedProspective StudiesRange of Motion, ArticularTreatment OutcomeArthritisGenuSportOutcomeRehabilitationTotal knee arthroplasty

Identifiers

PMID33547927
PMCPMC8354977

What OpenQuestion holds

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Registered trials

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.