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Gunshot Versus Nongunshot Spinal Cord Injury

2001· article· en· W2060270470 on OpenAlexaff
John D. Putzke, J. Scott Richards, Michael J. DeVivo

Bibliographic record

VenueAmerican Journal of Physical Medicine & Rehabilitation · 2001
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsSpinal Cord Injury Alberta
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineSpinal cord injuryEtiologySpinal cordRehabilitationAcute carePhysical therapyGunshot woundInjury preventionPoison controlMarital statusAnesthesiaEmergency medicineSurgeryHealth careInternal medicinePopulation

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the impact of gunshot-caused spinal cord injury on acute and rehabilitative care outcome using a case control design. DESIGN: Two groups (i.e., gunshot- vs. nongunshot-caused spinal cord injury) of 212 individuals were matched case-for-case on age (i.e., within 10 yr), education, gender, race, marital status, primary occupation, impairment level, and Model System region. Outcome measures included length of hospital stay, functional status (FIM), treatment charges, and home discharge rates. RESULTS: The two groups did not differ in the length of stay during acute and rehabilitative care, charges during rehabilitative care, or postrehabilitation discharge placement. Several significant between-group differences in treatment procedures were noted (e.g., prevalence of spinal surgery), which may, in part, account for the higher acute-care charges among those persons with nongunshot-caused spinal cord injury. CONCLUSION: Once an individual is stabilized and admitted for rehabilitative care, gunshot etiology of spinal cord injury seems largely unrelated to the initial rehabilitation outcome.

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)0.005
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.040
GPT teacher head0.438
Teacher spread0.398 · 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

Citations16
Published2001
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Physical Medicine & RehabilitationSame topicSpinal Cord Injury ResearchFrench-language works237,207