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Record W4403819490 · doi:10.3171/case24187

Spontaneous recovery of postsurgical progressive cervical spine kyphosis following intramedullary spinal cord tumor resection in a 4-year-old boy: illustrative case

2024· article· en· W4403819490 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Neurosurgery Case Lessons · 2024
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineKyphosisIntramedullary rodSurgerySpinal cordResectionRadiography

Abstract

fetched live from OpenAlex

BACKGROUND: Postsurgical kyphosis is relatively common in children who have undergone resection of intramedullary spinal cord tumors. Progressive kyphosis almost always requires instrumentation and fusion surgery, which can delay or interfere with adjuvant oncological treatments and can deleteriously impact the long-term performance status of the patient. OBSERVATIONS: Here, the authors report a case of near-complete spontaneous recovery (i.e., without spinal fusion surgery) of postsurgical progressive cervical spine kyphosis following intramedullary spinal cord tumor resection and discuss the potential factors that may have contributed to this positive outcome. LESSONS: This case serves as a reminder that spontaneous recovery from postsurgical progressive cervical spine kyphosis can occur and that some patients (i.e., those without neurological deficits) can be monitored closely, with a watch-and-wait approach, before subjecting them to additional surgical risks, delays in other treatments, and potential morbidity. https://thejns.org/doi/10.3171/CASE24187.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.031
GPT teacher head0.335
Teacher spread0.304 · 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