Evidence map›Paper›PMID 34511058›Full record

ArticleBMC musculoskeletal disorders2021

An individualized decision aid for physicians and patients for total knee replacement in osteoarthritis (Value-based TKR study): study protocol for a multi-center, stepped wedge, cluster randomized controlled trial.

Toni Lange, Stefanie Deckert, Franziska Beyer, Waldemar Hahn, Natascha Einhart, Martin Roessler, Martin Sedlmayr, Jochen Schmitt, Jörg Lützner

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC musculoskeletal disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04837053 (An Individualized Decision Aid for Physicians and Patients for Total Knee Replacement in Osteoarthritis), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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.

NCT04837053 nacompletednot on this map

An Individualized Decision Aid for Physicians and Patients for Total Knee Replacement in Osteoarthritis (Value-based TKR): Study Protocol for a Multi-center, Stepped Wedge, Cluster Randomized Controlled Trial

TypeinterventionalSponsorTechnische Universität DresdenRan2021 to 2024Enrolled1,092ConditionsKnee Osteoarthritis, Arthroplasty, Replacement, KneeArmsDigital decision aid for physicians and patients, Routine care
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. The coronal plane alignment of the knee classification does not correlate with the functional knee phenotype classification.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. 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

9 authors at 1 institution in 1 country.

Toni LangeCenter for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID https://orcid.org/0000-0002-8671-7496
Stefanie DeckertCenter for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID https://orcid.org/0000-0002-4889-3632
Franziska BeyerUniversity Center of Orthopedics, Trauma and Plastic Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany.ORCID https://orcid.org/0000-0003-2836-3666
Waldemar HahnInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Natascha EinhartCenter for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Martin RoesslerCenter for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID https://orcid.org/0000-0002-4662-4156
Martin SedlmayrInstitute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.ORCID https://orcid.org/0000-0002-9888-8460
Jochen Schmitt *Center for Evidence-based Healthcare, University Hospital Carl Gustav Carus and Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Jörg Lützner *University Center of Orthopedics, Trauma and Plastic Surgery, University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany. joerg.luetzner@uniklinikum-dresden.de.ORCID http://orcid.org/0000-0002-7162-828X
University Hospital Carl Gustav Carus · DE

Funding

Innovation Fund of the Joint Federal Committee (Gemeinsamer Bundesausschuss, G-BA), Germany 01VSF19036
6 · The paper itself

Abstract

backgroundTotal knee replacement (TKR) is one of the most commonly performed routine procedures in the world. Prognostic studies indicate that the number of TKR will further increase constituting growing burden on healthcare systems. There is also substantial regional heterogeneity in TKR rates within and between countries. Despite the known therapeutic effects, a subset of patients undergoing TKR does not benefit from the procedure as intended. To improve the appropriateness of TKR indication, the EKIT initiative ("evidence and consensus based indication critera for total arthroplasty") developed a clinical guideline for Germany on the indication of TKR. This guideline is the basis for a digital medical decision aid (EKIT tool) to facilitate shared decision making (SDM) in order to improve decision quality for elective surgery. The aim of this cluster randomized trial is to investigate the effectiveness of the EKIT tool on decision quality.

methodsThe Value-based TKR study is a prospective pragmatic multi-center, stepped wedge, cluster randomized controlled trial (SW-RCT). The EKIT tool provides (1) a systematic presentation of individual patient and disease-specific information (symptoms, expectations), (2) the fulfillment of the indication criteria and (3) health information about safety and effectiveness of TKR. All study sites will follow routine care as control clusters until the start of the intervention. In total, there will be 10 clusters (study sites) and 6 sequential steps over 16 month, with clusters receiving the intervention with a minimum 2 months of standard routine care. The primary outcome is patients' decision quality measured with the Decision Quality Instrument (DQI)-Knee Osteoarthritis questionnaire. Furthermore, we will collect information on global patient satisfaction, patient reported outcome measures and the fulfilment of the individual expectations 12 months after SDM. The power calculation yielded an estimated power of 89% using robust Poisson regression under the following assumptions: 10 study sites with a total of N=1,080 patients (including a dropout rate of 11%), a 10% increase in decision quality due to the use of the EKIT tool, and a significance level of 5%. DISCUSSION: There is a high potential for transferring the intervention into routine practice if the evaluation is positive.

trial registrationClinicalTrials.gov: NCT04837053 . Registered on 08/04/2021.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneePhysiciansDecision Support TechniquesHumansMulticenter Studies as TopicPragmatic Clinical Trials as TopicProspective StudiesRandomized Controlled Trials as TopicDecision qualityPatient-reported outcome measuresShared decision makingTotal knee arthroplasty

Identifiers

PMID34511058
PMCPMC8436461
OpenAlexW3200510395

What OpenQuestion holds

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LicenceCC BY
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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.