ArticleFrontiers in medicine2020
A Novel Clinical-Radiomics Model Pre-operatively Predicted the Stone-Free Rate of Flexible Ureteroscopy Strategy in Kidney Stone Patients.
Article in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled 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.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.
- Can AI and predictive models accurately predict stone-free status? a systematic review and meta-analysis.The Canadian journal of urology · 2026Pooled it
- Preoperative CT-Derived Stone Burden Metrics for Predicting Stone-Free Status and Operative Time After Retrograde Intrarenal Surgery.Diagnostics (Basel, Switzerland) · 2026Article
- A Critical Review of Impact of Ureteral Access Sheath Use on Renal Stone Clearance During Flexible Ureterorenoscopy: A Retrospective Cohort Study.Health science reports · 2026Article
- Impact of Ureteral Access Sheath Use on Renal Stone Clearance During Flexible Ureterorenoscopy: A Retrospective Cohort Study.Health science reports · 2026Article
- An interpretable machine learning model integrating computed tomography radiomics and clinical features for predicting the urosepsis after percutaneous nephrolithotomy.Biomedical engineering online · 2025Article
- Dynamic nomogram predicts sepsis risk in patients with acute liver failure: Analysis of intensive care database with external validation.World journal of gastroenterology · 2025Article
- Predicting ESWL success for ureteral stones: a radiomics-based machine learning approach.BMC medical imaging · 2025Article
- CT-based radiomics for predicting success of shock wave lithotripsy in ureteral stones larger than 1 cm.World journal of urology · 2024Article
- Identification of Calculous Pyonephrosis by CT-Based Radiomics and Deep Learning.Bioengineering (Basel, Switzerland) · 2024Article
- Develop a radiomics-based machine learning model to predict the stone-free rate post-percutaneous nephrolithotomy.Urolithiasis · 2024Article
- Factors affecting the intraoperative calculi excretion during flexible ureteroscopy lithotripsy: an in vitro analysis.World journal of urology · 2024Article
- Development of a nomogram for predicting 90-day mortality in patients with sepsis-associated liver injury.Scientific reports · 2023Article
- Ureteral calculi lithotripsy for single ureteral calculi: can DNN-assisted model help preoperatively predict risk factors for sepsis?European radiology · 2022Article
- Evaluation of radiomics feature stability in abdominal monoenergetic photon counting CT reconstructions.Scientific reports · 2022Article
- Radiomics in Urolithiasis: Systematic Review of Current Applications, Limitations, and Future Directions.Journal of clinical medicine · 2022Review
- Application of Radiomics Model of CT Images in the Identification of Ureteral Calculus and Phlebolith.International journal of clinical practice · 2022Article
- Recent scoring systems predicting stone-free status after retrograde intrarenal surgery; a systematic review and meta-analysis.Central European journal of urology · 2022Review
- A Novel System for Measuring Pterygium's Progress Using Deep Learning.Frontiers in medicine · 2022Article
- Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study.Abdominal radiology (New York) · 2021Article
- Development of a Nomogram to Predict 28-Day Mortality of Patients With Sepsis-Induced Coagulopathy: An Analysis of the MIMIC-III Database.Frontiers in medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What 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.