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Record W3166409340 · doi:10.4103/ljms.ljms_49_19

Minimally invasive percutaneous C1–C2 transarticular screw fixation as a palliative management option in C2 metastases

2020· article· en· W3166409340 on OpenAlexaff
Najmedden Attabib, Michael Craig, Shawn Kroetsch, Dana El-Mughayyar

Bibliographic record

VenueLibyan Journal of Medical Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsUniversity of New BrunswickCanada East Spine CentreSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsMedicinePercutaneousSurgeryRadiation therapyPalliative careMetastasisRadiologyCancer

Abstract

fetched live from OpenAlex

Bone metastasis in patients with esophageal carcinoma is rare but serious, often resulting in structural complications of the spine such as atlantoaxial instability and C2 metastases. Atlantoaxial instability is usually managed surgically using screw-rod constructs; however, in patients undergoing radiotherapy, surgical wound healing is a concern. We present a technical note involving a terminally ill patient diagnosed with esophageal carcinoma who suffered from a metastatic lytic lesion of C2 and mechanical neck pain. Due to the patient starting palliative radiotherapy, a percutaneous approach and transarticular screws were used to achieve atlantoaxial fixation and minimize the surgical wound while maintaining the midline tension band. Significant clinical improvement was found. Our patient was able to begin palliative radiotherapy within 1 week of surgery, without surgical and wound complications. This report provides unique insight into the utilization of a minimally invasive approach for pain management and stabilization of the cervical spine for oncology patients.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.331
Teacher spread0.278 · 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
Published2020
Admission routes1
Has abstractyes

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