ReviewInternational wound journal2019
A prediction tool for hospital-acquired pressure ulcers among surgical patients: Surgical pressure ulcer risk score.
Review in International wound journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 108 citations in OpenAlex.
- A systematic review of nurses' knowledge and related factors towards the prevention of medical device-related pressure ulcers.International wound journal · 2023Pooled it
- Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review.International journal of environmental research and public health · 2023Pooled it
- Predictive validity of the braden scale for pressure injury risk assessment in adults: A systematic review and meta-analysis.Nursing open · 2021Pooled it
- Risk Factor Analysis and Risk Prediction Model Construction of Pressure Injury in Critically Ill Patients with Cancer: A Retrospective Cohort Study in China.Medical science monitor : international medical journal of experimental and clinical research · 2020Trial
- Development and Validation of a Machine Learning-Based Nomogram for Predicting Pressure Ulcer Risk in Respiratory Patients.International wound journal · 2026Article
- Article
- Postoperative Mobility and its Relationship with Surgery-Related Pressure Injuries: Incidence and Risk Factors in Bariatric Surgery Patients.Obesity surgery · 2026Article
- Development of A Surgery-Related Pressure Injury Risk Assessment Scale (SURPIRAS): A Methodological Study.Journal of clinical nursing · 2025Article
- The accuracy of the risk assessment scale for pressure ulcers in adult surgical patients: a network meta-analysis.BMC surgery · 2025Article
- Risk prediction tools for pressure injury occurrence: an umbrella review of systematic reviews reporting model development and validation methods.Diagnostic and prognostic research · 2025Review
- ATTNFNET: feature aware depth-to-pressure translation with cGAN training.Frontiers in medical technology · 2025Article
- Pressure ulcer risk in patients undergoing cardiovascular surgery and their occurrence within 24 hours of the operation.Revista da Escola de Enfermagem da U S P · 2025Article
- Implementation of the REPRISE care bundle model for the prevention of pressure ulcers in an intensive care unit: An experimental study.International wound journal · 2024Article
- The correlation between sub-epidermal moisture assessment and other early indicators of pressure ulcer development: A prospective cohort observational study. Part 2. The correlation between sub-epidermal moisture assessment, temperature, epidermal hydration and pain.International wound journal · 2024Observational
- Effectively Addressing Hospital-Acquired Pressure Injuries With a Multidisciplinary Approach.HCA healthcare journal of medicine · 2024Article
- Wearable Prophylaxis Tool for AI-Driven Identification of Early Warning Patterns of Pressure Ulcers.Bioengineering (Basel, Switzerland) · 2023Article
- Systematic Review for Risks of Pressure Injury and Prediction Models Using Machine Learning Algorithms.Diagnostics (Basel, Switzerland) · 2023Review
- Extrinsic factors of pressure injuries in patients during surgery: A frequency matched retrospective study.International wound journal · 2023Article
- A Comparison of the Charlson and Elixhauser Methods for Predicting Nursing Indicators in Gastrectomy with Gastric Cancer Patients.Healthcare (Basel, Switzerland) · 2023Article
- Predictors of hospital-acquired pressure injuries in patients with complete spinal cord injury: a retrospective case-control study.BMC musculoskeletal disorders · 2023Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Surgical patients are prone to developing hospital-acquired pressure ulcers (HAPU). Therefore, a better prediction tool is needed to predict risk using preoperative data. This study aimed to determine, from previously published HAPU risk factors, which factors are significant among our surgical population and to develop a prediction tool that identifies pressure ulcer risk before the operation. A literature review was first performed to elicit all the published HAPU risk factors before conducting a retrospective case-control study using medical records. The known HAPU risks were compared between patients with HAPU and without HAPU who underwent operations during the same period (July 2015-December 2016). A total of 80 HAPU cases and 189 controls were analysed. Multivariate logistic regression analyses identified eight significant risk factors: age ≥ 75 years, female gender, American Society of Anaesthesiologists ≥ 3, body mass index < 23, preoperative Braden score ≤ 14, anaemia, respiratory disease, and hypertension. The model had bootstrap-corrected c-statistic 0.78 indicating good discrimination. A cut-off score of ≥6 is strongly predictive, with a positive predictive value of 73.2% (confidence interval [CI]: 59.7%-84.2%) and a negative predictive value of 80.7% (CI: 74.3%-86.1%). SPURS contributes to the preoperative identification of pressure ulcer risk that could help nurses implement preventive measures earlier.
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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.