Orthogate Subspecialty Journal Scan: Orthopaedic Oncology & Tumor

Curated critical appraisals of recent high-impact trials and practice-changing studies across musculoskeletal oncology and spinal metastases, structured using the SBAR framework for immediate surgical and clinical application.

Featured Orthopaedic Oncology Studies This Edition
Tumor

1. Functional Outcomes by Ethnicity and Sex Following Tumor Resection and Endoprosthetic Reconstruction: A Secondary Analysis of the Parity Trial.

Authors: Gonzalez M, Goh M, Werenski J, Gebhardt M, Ghert M et al. | Journal: The Journal of the American Academy of Orthopaedic Surgeons (Jul 2026) | View Source / DOI

Situation

Examining the influence of sex and ethnicity on functional recovery and patient-reported outcomes for patients with bone tumors undergoing lower extremity endoprosthetic reconstruction.

Background

Despite advances in limb-salvage surgery in orthopaedic oncology, the effect of ethnicity and sex on patient function recovery remains unclear. Evaluating demographic disparities and recovery trajectories is essential to guide clinical expectations and optimize rehabilitation protocols.

Assessment & Findings
  • Study Design & Methodology: Secondary analysis of the Prophylactic Antibiotic Regimens in Tumor Surgery (PARITY) trial. Functional outcomes were assessed preoperatively and at 3, 6, and 12 months postoperatively using the Musculoskeletal Tumor Society 1993 (MSTS-93) and Toronto Extremity Salvage Score questionnaires. Delta scores (postoperative minus preoperative) and minimal clinically important difference thresholds were calculated by ethnicity and sex, and group differences were analyzed.
  • Primary & Secondary Findings: Among the 604 patients included, the main ethnic groups were White (63.6%), Asian (18.7%), Black (7.1%), Hispanic (5.6%), and Other (5%). Asian patients had markedly higher preoperative and postoperative MSTS-93 and TESS scores than other groups, although delta scores were similar across all ethnicities. Although MCID achievement rates for MSTS-93 did not differ by ethnicity, Asian patients showed a higher MCID achievement rate for TESS at 3 and 6 months. Sex-based analyses revealed that men had higher baseline functional scores, but women demonstrated greater postoperative improvements, as reflected by higher delta scores. Although postoperative MSTS-93 MCID achievement rates were similar between sexes, women exhibited higher TESS MCID achievement across all postoperative timepoints.
Recommendation & Practice Takeaway

Clinical Pearl: Asian patients had higher functional outcomes after endoprosthetic reconstruction, and ethnic minorities did not show worse outcomes than White patients. Women demonstrated greater postoperative functional score improvements than men despite lower baseline scores, underscoring the necessity of accounting for sex- and ethnicity-specific recovery patterns during postoperative counseling and rehabilitation.

Tumor

2. Postoperative pulmonary complications after surgery for spinal metastases from lung cancer: a 6-center risk analysis and external validation of 3 established risk scores.

Authors: Yan Y, Wang X, Li S, Zhao J, Zhou G et al. | Journal: The spine journal : official journal of the North American Spine Society (Nov 2026) | View Source / DOI

Situation

Determining the incidence of postoperative pulmonary complications (PPC) and their association with early postoperative mortality, identifying multivariable risk factors, and externally validating 3 established PPC risk scores in patients undergoing surgery for spinal metastases from lung cancer.

Background

Early identification of postoperative pulmonary complications (PPC) is crucial in patients undergoing surgery for spinal metastases. Patients with lung cancer-derived spinal metastases (LC-SM) appear to be particularly vulnerable to PPC. However, the incidence, risk factors, and prognostic significance of PPC in this population remain poorly defined, and commonly used PPC risk scores have not been adequately validated in this setting.

Assessment & Findings
  • Study Design & Methodology: Retrospective multicenter cohort study of 419 patients with spinal metastases from lung cancer who underwent open spinal surgery at 6 tertiary centers between January 2018 and March 2025. Outcome measures included the occurrence of PPC within 14 days after surgery and postoperative survival time. Multivariable logistic regression with minimum Akaike information criterion was performed to identify perioperative factors associated with PPC. Discrimination, calibration, Brier score, and decision curve analysis were used to assess model performance against 3 conventional PPC risk scores (ARISCAT, Arozullah Postoperative Pneumonia Risk Index, and Arozullah Respiratory Failure Risk Index).
  • Primary & Secondary Findings: PPC occurred in 50 of 419 patients (11.9%) and was associated with worse survival (median overall survival, 4.43 vs 14.39 months, p<.01), as well as higher 30-day (26.0% vs 2.4%) and 90-day (42.0% vs 11.1%) mortality. Independent risk factors for PPC were longer ventilation time (OR 1.16, 95% CI 1.09-1.24), blood transfusion (OR 1.12, 95% CI 1.02-1.23), liver metastasis (OR 2.64, 95% CI 1.26-5.54), prior systemic chemotherapy and/or thoracic radiotherapy (OR 2.52, 95% CI 1.26-5.05), preexisting pulmonary abnormalities (OR 2.07, 95% CI 1.01-4.24), and male sex (OR 2.26, 95% CI 1.03-4.93). The final model showed good discrimination and precision-recall performance (area under the curve [AUC] 0.825; 5-fold cross-validated AUC 0.803; bootstrap-corrected AUC 0.781; area under the precision-recall curve [PR-AUC] 0.533), with good calibration and clinical net benefit. Conventional PPC risk scores showed limited predictive value (ARISCAT: AUC 0.659, PR-AUC 0.234; Arozullah pneumonia: AUC 0.541, PR-AUC 0.140; Arozullah respiratory failure: AUC 0.643, PR-AUC 0.063).
Recommendation & Practice Takeaway

Clinical Pearl: Patients with lung cancer-derived spinal metastases represent a distinct high-risk population for postoperative pulmonary complications, which are directly associated with early postoperative mortality. Conventional risk scores and inflammatory or nutritional indices show limited applicability in this setting. Spine surgeons should recognize perioperative pulmonary vulnerability, carefully scrutinize preoperative chest CT findings, account for prior chemoradiation, and optimize respiratory management while minimizing ventilation duration and blood transfusions.

Tumor

3. Machine Learning-Based Prognostic Scoring for Spinal Metastases: A JASA Multicenter Prospective Study Integrating Modern Oncologic Advances.

Authors: Ito S, Nakashima H, Segi N, Ouchida J, Shiratani Y et al. | Journal: Spine (Sep 2026) | View Source / DOI

Situation

Developing and validating a novel machine learning-based prognostic scoring system for spinal metastases to aid surgical decision-making and optimize postoperative management.

Background

Spinal metastases, common complications in patients with advanced cancer, significantly affect neurological function, pain, and quality of life. Although surgery plays a crucial role in selected cases, the accurate prediction of patient prognosis remains challenging. Traditional scoring systems, developed for older treatment paradigms, do not fully reflect the impact of modern oncologic therapies.

Assessment & Findings
  • Study Design & Methodology: Multicenter prospective study conducted by the Japan Association of Spine Surgeons with Ambition across 35 medical centers between 2018 and 2021, including 401 patients who underwent surgery for spinal metastases. Patient demographics, tumor burden, performance status, and treatment history data were collected. Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression was used to identify significant predictors of one-year survival, followed by stepwise variable selection. Model performance was assessed using the area under the receiver operating characteristic curve (AUROC) and calibration plots.
  • Primary & Secondary Findings: Among the 401 patients, 67.1% survived for one year, whereas 32.9% did not. Survivors had better performance status, lower tumor burden, and lower opioid use than non-survivors. LASSO regression identified five key predictors of one-year survival: age older than or equal to 75 years, poor performance status (≥3), presence of other bone metastases, preoperative opioid use, and lower preoperative Vitality Index. The final model demonstrated strong predictive performance (AUROC=0.762). On the basis of the key prognostic factors, a simplified risk-stratification system classified patients into low-risk (one-year survival 82.2%), intermediate-risk (67.2%), and high-risk (34.2%) groups.
Recommendation & Practice Takeaway

Clinical Pearl: Machine learning techniques provide a clinically applicable prognostic scoring system for patients with spinal metastases by integrating modern oncologic advances. Clinicians can utilize this risk assessment tool to guide surgical decision-making, avoiding overtreatment in high-risk patients with limited life expectancy while optimizing reconstructive goals in intermediate- and low-risk candidates.

Orthogate Weekly Journal Scan is curated and synthesized by ORION (Orthopaedic Research, Intelligence & Operations Navigator) for orthopaedic surgeons, fellows, and residents. Evidence synthesized under the clinical direction of Christian Veillette, MD, MSc, FRCSC.