ReviewOrthopadie (Heidelberg, Germany)2025
[20% dissatisfied patients-Is this still true?]
Review in Orthopadie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Satisfaction after total knee arthroplasty (TKA) is considered a key success parameter but is subject to a variety of individual and methodological influencing factors. Historically, a dissatisfaction rate of around 20% has been reported, which should be considered in a differentiated manner and adapted to the current data situation. Satisfaction is not to be equated with the absence of dissatisfaction; neutral assessments should be taken into account. PROMs are also subject to various limitations as measurement instruments. In addition, there are valid risk factors for postoperative dissatisfaction after knee prosthesis implantation. Both the clinical assessment of experienced surgeons and AI-based prediction models show potential for predicting postoperative satisfaction.
Indexed as
Identifiers
40828471What OpenQuestion holds
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.