MétaCan
Menu
Back to cohort
Record W1998187434 · doi:10.12968/jowc.2004.13.5.26615

Effects of ultrasound delivered through a mist of saline to wounds in mice with diabetes mellitus

2004· article· en· W1998187434 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 Wound Care · 2004
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineDiabetes mellitusMistSalineUltrasoundSurgeryInternal medicineEndocrinologyRadiology

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine the effects of ultrasound administered through a fine mist of saline on surgically placed full-thickness excisional wounds in mice with experimental diabetes mellitus. METHOD: Fifty male CD-I mice received alloxan monohydrate (100 mg/kg), a drug known to induce diabetes mellitus. The animals received five ultrasound (n = 27) or sham (n = 23) treatments for 1.5 minutes, on alternate days, for 10 days, and were then sacrificed. Following sacrifice, each animal's wound was excised and the tissues prepared for qualitative and quantitative histological analysis. RESULTS: No difference in wound-surface area was found between the groups after the treatment period. However, blinded assessment of tissue sections revealed significantly increased deposition of collagen and blood vessels in the granulation tissue of animals treated with ultrasound compared with those that received sham therapy. CONCLUSION: Ultrasound delivered through a fine mist of saline significantly altered the composition of newly formed granulation tissue in animals with experimental diabetes mellitus. Further research needs to be completed to determine other effects of this novel ultrasound therapy and to examine its clinical effectiveness.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

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

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 head0.004
GPT teacher head0.201
Teacher spread0.197 · 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