ArticleBMC musculoskeletal disorders2021
Development and validation of a novel predictive model and web calculator for evaluating transfusion risk after spinal fusion for spinal tuberculosis: a retrospective cohort study.
Article in BMC musculoskeletal disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Current update on surgical management for spinal tuberculosis: a scientific mapping of worldwide publications.Frontiers in surgery · 2024Pooled it
- Risk prediction of non-small cell lung cancer in patients with pulmonary nodules: a single-center cohort study based on six machine learning algorithms.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Development and evaluation of a nomogram model for predicting prolonged hospitalization after spinal tuberculosis focus decompression, fusion, and internal fixation surgery.European journal of medical research · 2026Article
- Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications.Journal of clinical medicine · 2025Review
- Risk factors for increased postoperative drainage in patients undergoing spinal fusion surgery: a retrospective study.BMC musculoskeletal disorders · 2025Article
- Surgical treatment of spinal tuberculosis: an updated review.European journal of medical research · 2024Review
- Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review.BMC medical informatics and decision making · 2024Article
- Identification of copper death-associated molecular clusters and immunological profiles for lumbar disc herniation based on the machine learning.Scientific reports · 2024Article
- Reclassified the phenotypes of cancer types and construct a nomogram for predicting bone metastasis risk: A pan-cancer analysis.Cancer medicine · 2024Article
- Machine learning in transfusion medicine: A scoping review.Transfusion · 2024Article
- A nomogram model for predicting ocular GVHD following allo-HSCT based on risk factors.BMC ophthalmology · 2023Article
- A degradome-based prognostic signature that correlates with immune infiltration and tumor mutation burden in breast cancer.Frontiers in immunology · 2023Article
- Identification of copper death-associated molecular clusters and immunological profiles in rheumatoid arthritis.Frontiers in immunology · 2023Article
- Predicting Surgical Site Infection Risk after Spinal Tuberculosis Surgery: Development and Validation of a Nomogram.Surgical infections · 2022Article
- A radiographic model predicting the status of the anterior cruciate ligament in varus knee with osteoarthritis.BMC musculoskeletal disorders · 2022Article
- Artificial Intelligence-Driven Prediction Modeling and Decision Making in Spine Surgery Using Hybrid Machine Learning Models.Journal of personalized medicine · 2022Review
- Blood transfusion risk prediction in spinal tuberculosis surgery: development and assessment of a novel predictive nomogram.BMC musculoskeletal disorders · 2022Article
- Development and validation of a diagnostic model for differentiating tuberculous spondylitis from brucellar spondylitis using machine learning: A retrospective cohort study.Frontiers in surgery · 2022Article
- Development and validation of a carotid atherosclerosis risk prediction model based on a Chinese population.Frontiers in cardiovascular medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe incidence and adverse events of postoperative blood transfusion in spinal tuberculosis (TB) have attracted increasing attention. Our purpose was to develop a prediction model to evaluate blood transfusion risk after spinal fusion (SF) for spinal TB.
methodsNomogram and machine learning algorithms, support vector machine (SVM), decision tree (DT), multilayer perceptron (MLP), Naive Bayesian (NB), k-nearest neighbors (K-NN) and random forest (RF), were constructed to identified predictors of blood transfusion from all spinal TB cases treated by SF in our department between May 2010 and April 2020. The prediction performance of the models was evaluated by 10-fold cross-validation. We calculated the average AUC and the maximum AUC, then demonstrated the ROC curve with maximum AUC.
resultsThe collected cohort ultimately was consisted of 152 patients, where 56 required allogeneic blood transfusions. The predictors were surgical duration, preoperative Hb, preoperative ABL, preoperative MCHC, number of fused vertebrae, IBL, and anticoagulant history. We obtained the average AUC of nomogram (0.75), SVM (0.62), k-NM (0.65), DT (0.56), NB (0.74), MLP (0.56) and RF (0.72). An interactive web calculator based on this model has been provided ( https://drwenleli.shinyapps.io/STTapp/ ).
conclusionsWe confirmed seven independent risk factors affecting blood transfusion and diagramed them with the nomogram and web calculator.
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.