ArticleSurgery2016
Preoperative assessment of the risk for multiple complications after surgery.
Article in Surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Magnitude and modifiers of the weekend effect in hospital admissions: a systematic review and meta-analysis.BMJ open · 2019Pooled it
- Preoperative TNF-α predicts uneventful postoperative outcomes in patients undergoing colorectal cancer surgery.Scientific reports · 2025Observational
- The new SUMPOT to predict postoperative complications using an Artificial Neural Network.Scientific reports · 2021Observational
- Ensemble machine learning for the prediction of patient-level outcomes following thyroidectomy.American journal of surgery · 2021Article
- Preoperative Risk Assessment: A Poor Predictor of Outcome in Critically ill Elderly with Sepsis After Abdominal Surgery.World journal of surgery · 2020Article
- Key Issues in the Development of an Evidence-Based Stratified Surgical Patient Safety Improvement Information System: Experience From a Multicenter Surgical Safety Program.Journal of medical Internet research · 2019Article
- Improved predictive models for acute kidney injury with IDEA: Intraoperative Data Embedded Analytics.PloS one · 2019Article
- Impact of your results: Beyond the relative risk.Research and practice in thrombosis and haemostasis · 2018Article
- Comparison of common risk stratification indices to predict outcomes among stage IV cancer patients with bowel obstruction undergoing surgery.Journal of surgical oncology · 2018Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe association between preoperative patient characteristics and the number of major postoperative complications after a major operation is not well defined.
methodsIn a retrospective, single-center cohort of 50,314 adult surgical patients, we used readily available preoperative clinical data to model the number of major postoperative complications from none to ≥3. We included acute kidney injury; prolonged stay (>48 hours) in an intensive care unit; need for prolonged (>48 hours) mechanical ventilation; severe sepsis; and cardiovascular, wound, and neurologic complications. Risk probability scores generated from the multinomial logistic models were used to develop an online calculator. We stratified patients based on their risk of having ≥3 postoperative complications.
resultsPatients older than 65 years (odds ratio 1.5, 95% confidence interval, 1.4-1.6), males (odds ratio 1.2, 95% confidence interval, 1.2-1.3), patients with a greater Charlson comorbidity index (odds ratio 3.9, 95% confidence interval, 3.6-4.2), patients requiring emergency operation (odds ratio 3.5, 95% confidence interval, 3.3.-3.7), and patients admitted on a weekend (odds ratio 1.4, 95% confidence interval, 1.3-1.5) were more likely to have ≥3 postoperative complications than they were to have none. Patients in the medium- and high-risk categories were 3.7 and 6.3 times more likely to have ≥3 postoperative complications, respectively. High-risk patients were 5.8 and 4.4 times more likely to die within 30 and 90 days of admission, respectively.
conclusionReadily available, preoperative clinical and sociodemographic factors are associated with a greater number of postoperative complications and adverse surgical outcomes. We developed an online calculator that predicts probability of developing each number of complications after a major operation.
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Registered trials
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