ArticleInternational journal of spine surgery2021
Validation of the ACS-NSQIP Risk Calculator: A Machine-Learning Risk Tool for Predicting Complications and Mortality Following Adult Spinal Deformity Corrective Surgery.
Article in International journal of spine surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Evaluation of a Pediatric Surgical Risk Calculator for Postoperative Outcomes in Spinal Deformity.Global spine journal · 2026Article
- Multicenter evaluation of wound closure techniques and postoperative complications following pediatric nonidiopathic scoliosis surgery.Spine deformity · 2026Article
- Do Publicly Available Risk Calculators Apply to Adult Spinal Deformity Surgery?Journal of clinical medicine · 2025Article
- Review
- The Value of Plastic Surgery Closure in Adults Undergoing Scoliosis Surgery.Plastic surgery (Oakville, Ont.) · 2025Article
- Application of artificial intelligence in postoperative orthopedic rehabilitation: a scoping review.Frontiers in digital health · 2025Review
- Prediction models for risk assessment of surgical site infection after spinal surgery: A systematic review.North American Spine Society journal · 2024Review
- Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit.Advances in chronic kidney disease · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo calculate the risk for postoperative complications and mortality after corrective surgery of adult spinal deformity (ASD) patients using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) surgical risk calculator (SRC).
methodsPatients aged ≥18 years undergoing corrective surgery for ASD were identified. Current procedural terminology (CPT) codes of 22800, 22802, 22804, 22808, 22801, 22812, 22818, 22819, 22843, 22844, 22846, 22847, 22842, and 22845 were assessed if the patient had an
resultsA total of 9143 ASD patients (58.9 years, 56% females, 29.2 kg/m
conclusionsThe ACS-NSQIP SRC predicts surgical risk in patients undergoing ASD corrective surgery. This tool can be used as a resource in preoperative optimization by deformity surgeons. LEVEL OF EVIDENCE: 3.
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.