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Record W4415075477 · doi:10.1111/os.70189

Robot‐Assisted, Conventional Fluoroscopy (C‐Arm), O‐Arm Navigation, and Freehand Pedicle Screw Fixation in Thoracolumbar Spine Fracture Surgery: A Network Meta‐Analysis

2025· review· en· W4415075477 on OpenAlex
Yankun Zhu, Shuaiqi Zhu, Y Li, Kun Wang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOrthopaedic Surgery · 2025
Typereview
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsFluoroscopyPercutaneousFixation (population genetics)PerioperativeRandomized controlled trialCohortClinical trialSpinal fracture

Abstract

fetched live from OpenAlex

Thoracolumbar fractures are a prevalent clinical disease, with several surgical techniques, including traditional freehand pedicle screw fixation (TFPSF), conventional fluoroscopy (C-arm) percutaneous pedicle screw fixation (CPPSF), O-arm-assisted percutaneous pedicle screw fixation (OPPSF), and robot-assisted percutaneous pedicle screw fixation (RPPSF), being currently applied. However, a comprehensive comparison of their relative efficacy across multiple perioperative and functional outcomes is lacking, leading to uncertainty in optimal technique selection. This network meta-analysis (NMA) evaluates and compares the clinical efficacy of these four surgical techniques to identify the most effective intervention and guide clinical decision-making. Researchers independently searched PubMed, Embase, the Cochrane Central Register of Controlled Trials, and Web of Science for studies published before September 20, 2024. Studies were selected based on stringent eligibility criteria. Randomized controlled trials (RCTs) were assessed using RoB 2.0, while cohort studies were evaluated with the Newcastle-Ottawa Scale (NOS). After data extraction, Bayesian network analysis was executed using R 4.2.2 and Stata 16.0. Nineteen studies were included, encompassing 1344 patients with thoracolumbar fractures. For screw accuracy, OPPSF ranked highest (SUCRA = 92.7%), significantly outperforming TFPSF (RR 1.12; 95% credible intervals [CrI] [1.04, 1.23]) and CPPSF (RR 1.12; 95% CrI [1.04, 1.22]), with RPPSF also surpassing both. OPPSF showed superior intraoperative blood loss reduction (SUCRA = 79.8%) while TFPSF had significantly more bleeding than others. For hospitalization, RPPSF ranked highest (SUCRA = 65.0%) but CPPSF significantly shortened stays versus TFPSF (MD -2.24; 95% CrI [-4.48, -0.03]). CPPSF also showed better pain control (SUCRA = 77.9%) with significantly lower VAS scores versus TFPSF (MD -1.02; 95% CrI [-1.71, -0.37]). RPPSF demonstrated the lowest complication risk (SUCRA = 94.9%), with both CPPSF and RPPSF showing significant reductions versus TFPSF. Additionally, although CPPSF ranked first in SUCRA for both operative time (SUCRA = 81.6%) and Cobb angle (SUCRA = 72.4%), the pairwise comparisons did not demonstrate statistical significance, necessitating cautious interpretation. In summary, OPPSF tends to demonstrate superior precision and blood loss control, CPPSF may optimize rehabilitation efficiency, while RPPSF appears to be the safest technique. Technique selection should balance clinical outcomes, economic feasibility, and patient-specific priorities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.068
GPT teacher head0.364
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it