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Heterotopic Ossification in the Residual Limbs of Traumatic and Combat-Related Amputees

2006· review· en· W1820921662 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 the American Academy of Orthopaedic Surgeons · 2006
Typereview
Languageen
FieldMedicine
TopicHeterotopic Ossification and Related Conditions
Canadian institutionsObject Research Systems (Canada)
Fundersnot available
KeywordsHeterotopic ossificationMedicineAmputationOssificationSurgeryComplicationTraumatic injuryLimiting

Abstract

fetched live from OpenAlex

Reports on the occurrence and treatment of heterotopic ossification in amputees are rare. Heterotopic ossification in the residual limbs of amputees may cause pain and skin breakdown and complicate or prevent optimal prosthetic fitting and utilization. Basic science research has shed light on the cellular and molecular basis for this disease process, but many questions remain unanswered. The recent experience of the military amputee centers with traumatic and combat-related amputations has demonstrated a surprisingly high prevalence of heterotopic ossification in residual limbs. Primary prophylactic regimens, such as nonsteroidal anti-inflammatory drugs and local irradiation, which have proved to be effective in preventing and limiting heterotopic ossification in other patient populations, have not been studied in amputees and generally are not feasible in the setting of acute traumatic amputation. When nonsurgical measures such as activity and repeated prosthetic modifications fail to provide relief, surgical excision has provided good early clinical results, with low rates of recurrence and acceptable complication rates in military amputees.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.980
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.359
Teacher spread0.303 · 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