ArticleSurgery2018
Eye of the beholder: Risk calculators and barriers to adoption in surgical trainees.
Article in Surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Predictive accuracy of surgeon gestalt for adverse postoperative outcomes: systematic review.The British journal of surgery · 2025Pooled it
- Pooled it
- Integrating Generative AI into Nomograms for Breast Cancer Nodal Risk Predictions.Annals of surgical oncology · 2026Article
- Nationwide Analysis of Sociodemographic Disparities in Health-Related Quality of Life of Colon Cancer Survivors.Cancer medicine · 2026Article
- Review
- Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project.World journal of emergency surgery : WJES · 2026Article
- Use of Structured Risk Scores in Preoperative Pulmonary Assessment Among Pulmonologists and Pulmonary Medicine Residents in Türkiye: A Cross-Sectional Online Survey.Journal of multidisciplinary healthcare · 2026Article
- Five essential features for adoption of clinical risk prediction tools: Insights from the VOCAL-Penn score.Hepatology communications · 2025Article
- DiabCompSepsAI: Integrated AI Model for Early Detection and Prediction of Postoperative Complications in Diabetic Patients-Using a Random Forest Classifier.Journal of clinical medicine · 2025Article
- Article
- Current use of the National Surgical Quality Improvement Program surgical risk calculator in academic surgery: a mixed-methods study.Surgery in practice and science · 2023Article
- Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks.Scientific reports · 2023Article
- Factors Predicting Surgical Effort Using Explainable Artificial Intelligence in Advanced Stage Epithelial Ovarian Cancer.Cancers · 2022Article
- Artificial intelligence-enabled decision support in nephrology.Nature reviews. Nephrology · 2022Review
- Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.JAMA network open · 2022Article
- Effective Communication of Personalized Risks and Patient Preferences During Surgical Informed Consent Using Data Visualization: Qualitative Semistructured Interview Study With Patients After Surgery.JMIR human factors · 2022Article
- Attitudes about use of preoperative risk assessment tools: a survey of surgeons and surgical residents in an academic health system.Patient safety in surgery · 2022Article
- Evaluating Discrimination of ACS-NSQIP Surgical Risk Calculator in Thyroidectomy Patients.The Journal of surgical research · 2022Article
- Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible.PLOS digital health · 2022Article
- A web-based fuzzy risk predictive-decision model of de novo stress urinary incontinence in women undergoing pelvic organ prolapse surgery.Current urology · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundAccurate risk assessment before surgery is complex and hampered by behavioral factors. Underutilized risk-based decision-support tools may counteract these barriers. The purpose of this study was to identify perceptions of and barriers to the use of surgical risk-assessment tools and assess the importance of data framing as a barrier to adoption in surgical trainees.
methodsWe distributed a survey and risk assessment activity to surgical trainees at four training institutions. The primary outcomes of this study were descriptive risk assessment practices currently performed by residents, identifiable influences and obstacles to adoption, and the variability of preference sets when comparing modified System Usability Scores of a current risk calculator to a purpose-built calculator revision. Risk calculator comparison responses were compared with simple and multivariable regression to identify predictors for preferentiality.
resultsWe collected responses from 124 surgical residents (39% response rate). Participants endorsed familiarity with direct verbal communication (100%), sketch diagrams (87%), and brochures (59%). The most contemporary risk communication frameworks, such as best-worst case scenario framing (38%), case-specific risk calculators (43%), and all-procedure calculators (52%) were the least familiar. Usage favored traditional models of communication with only 26% of residents regularly using a strategy other than direct verbal discussion or anatomic sketch diagrams. Barriers limiting routine use included lack of electronic and clinical workflow integration. The mean modified System Usability Scores domain scores were widely dispersed for all domains, and no domain demonstrated one calculator's superiority over another.
conclusionRisk assessment tools are underutilized by trainees. Of importance, preference sets of clinicians appear to be unpredictable and may benefit more from a customizable, bespoke approach.
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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.