ArticleUrolithiasis2022
Effect of a three-dimensional (3D) printed kidney model on patient understanding of the percutaneous nephrolithotomy procedure: a preliminary study.
Article in Urolithiasis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Exploring key factors affecting stone retention rates in percutaneous nephrolithotomy from a three-dimensional structural perspective: a retrospective study.Quantitative imaging in medicine and surgery · 2026Article
- The psychological impact of using 3D printing and imaging technology for patient education: a scoping review.3D printing in medicine · 2026Review
- Article
- Feasibility of stereotactic optical navigation for needle positioning in percutaneous nephrolithotomy.World journal of urology · 2024Article
- Integrating 3D technology with the Sampaio classification for enhanced percutaneous nephrolithotomy in complex renal calculi treatment.Frontiers in surgery · 2024Article
- Role of simulation in kidney stone disease: A systematic review of literature trends in the 26 years.World journal of nephrology · 2023Article
- The role of 'artificial intelligence, machine learning, virtual reality, and radiomics' in PCNL: a review of publication trends over the last 30 years.Therapeutic advances in urologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three-dimensional (3D) printed anatomical models can provide cognitive anatomical information. We aimed to study the effect of a 3D printed kidney model on patient understanding of kidney anatomy and the percutaneous nephrolithotomy (PCNL) procedure as well as the overall patient satisfaction with the model. Seven patients who underwent PCNL were enrolled in the study. Personalized 3D printed kidney models were constructed based on the patients' computed tomography images. Patients completed two questionnaires regarding their understanding and satisfaction with the use of the 3D printed kidney model before and after using the model during informed consent. The mean age of the study population was 58.0 years. Comparison of patient understanding and satisfaction between the two questionnaires showed a general trend toward better understanding and improved satisfaction with use of 3D printed kidney models. Statistically significant results were seen for understanding of kidney anatomy, stone size, procedure, and satisfaction (p values 0.046, 0.025, 0.046, and 0.046, respectively). Five of the seven patients (71.4%) answered that the model was very useful. However, none of the patients answered that the cost was appropriate. In the current study, patients showed improved understanding of the kidney anatomy and the PCNL procedure and higher satisfaction with using the 3D printed kidney model during informed consent. With further studies using larger patient numbers and decreased production cost, using 3D printed kidney models has the potential to be a useful adjunct for patient understanding during PCNL.
Indexed as
Identifiers
35122486What 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.