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Record W4413940782 · doi:10.1097/brs.0000000000005484

Listhesis and Spinopelvic Inclination of Upper Instrumented Vertebra Region and the Implications on Proximal Junctional Kyphosis

2025· article· en· W4413940782 on OpenAlexaff
Bassel G. Diebo, Mariah Balmaceno-Criss, Mohammad Daher, Renaud Lafage, Manjot Singh, Christopher P. Ames, Douglas C. Burton, Stephen J. Lewis, Eric O. Klineberg, Robert K. Eastlack, Munish C. Gupta, Greg Mundis, Jeffrey L. Gum, D. Kojo Hamilton, Richard A. Hostin, Peter G. Passias, Themistocles S. Protopsaltis, Khaled M. Kebaish, Christopher I. Shaffrey, Justin S. Smith, Breton Line, Shay Bess, Han Jo Kim, Lawrence G. Lenke, Frank J. Schwab, Virginie Lafage, Alan H. Daniels

Bibliographic record

VenueSpine · 2025
Typearticle
Languageen
FieldMedicine
TopicScoliosis diagnosis and treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineKyphosisRadiographyPelvic tiltOswestry Disability IndexSurgeryLordosisVertebraRetrospective cohort studyLow back pain

Abstract

fetched live from OpenAlex

STUDY DESIGN: Retrospective analysis of prospective data. OBJECTIVE: Evaluate the impact of radiographic and morphologic configuration of the uppermost instrumented vertebrae (UIV) region on proximal junctional kyphosis (PJK) rates. BACKGROUND: Literature is limited on evaluation of the preoperative landing zone (UIV-1 to UIV +2 levels) and its impact on development of PJK. MATERIALS AND METHODS: Adult ASD patients with native baseline thoracolumbar junction, postoperative UIV between T9 and T12 and LIV extending to pelvis, and two-year follow-up available were included. Landing zone was assessed on radiographs for Meyerding grade listhesis and posterior translation angle by 2 spine surgeons. Comparative analyses were performed on demographics, radiographic parameters, and PJK rates across patients with/without landing zone listhesis and above/below 15° UIV spinopelvic inclination (UIV SPi). Multivariable regression, accounting for listhesis, UIV SPi, PJK prophylaxis, age, osteoporosis, radiographic UIV quality (bridging osteophytes/degenerative disc disease), and change in PI-LL and SVA, was used to identify independent predictors of PJK. RESULTS: Among 244 patients, mean age was 64.41 years, 73.0% were females, mean CCI was 1.97. In total, 30% had preoperative landing zone listhesis and 42% had posterior translation (41% with baseline posterior translation and 59% with iatrogenic translation). Listhesis patients had similar baseline and two-year radiographic alignment but higher two-year PJK rates (32.9% vs . 20.5%, P = 0.04). UIV SPi >15° patients also had higher PJK (37.5% vs . 14.2%, P < 0.01) and PJK reoperation (16.3% vs . 5.8%, P = 0.01) rates. Patients with both listhesis and UIV SPi >15° had the highest PJK (45.5%, P = 0.03) and PJK reoperation (21.1%, P = 0.18) rates. Multivariable regression (R 2 = 0.33) identified landing zone listhesis (coeff = 1.0, P = 0.01) and UIV SPi (coeff = -0.22, P < 0.001) to be predictive of PJK. CONCLUSIONS: Preoperative listhesis and postoperative posterior translation are independent predictors of two-year PJK. These findings highlight the importance of meticulous selection of the UIV landing zone, with particular emphasis on preoperative listhesis and spinopelvic inclination. LEVEL OF EVIDENCE: Level IV.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.282
Teacher spread0.268 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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