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Record W2749017534 · doi:10.1017/s1049023x17006926

Evaluation of Skin Damage from Accidental Removal of a Hemostatic Wound Clamp (The iTClamp)

2017· article· en· W2749017534 on OpenAlexaffabout
Jessica McKee, Prasanna Lakshminarasimhan, Ian Atkinson, Anthony J. LaPorta, Andrew W. Kirkpatrick

Bibliographic record

VenuePrehospital and Disaster Medicine · 2017
Typearticle
Languageen
FieldMedicine
TopicHemostasis and retained surgical items
Canadian institutionsCalgary Laboratory ServicesFoothills Medical CentreCanadian Armed ForcesUniversity of CalgaryAlberta Health ServicesCARE Canada
Fundersnot available
KeywordsClampMedicineSurgeryBiomedical engineeringWound healingClampingMechanical engineeringEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Controlling bleeding early in the prehospital and military setting is an extremely important and life-saving skill. Wound clamping is a newly introduced technique that may augment both the effectiveness and logistics of wound packing with any gauze product. As these devices may be inadvertently removed, the potential consequences of such were examined in a simulated, extreme, inadvertent disengagement. METHODS: The wound clamp used was an iTClamp (Innovative Trauma Care; Edmonton, Alberta, Canada) that was applied and forcefully removed (skin-pull) from the skin of both a human cadaver and swine. Sixty skin-pull tests were sequentially performed to measure the pull weight required to remove the device, any potential skin and device damage, how the device failed, and if the device could be re-applied. RESULTS: Observations of the skin revealed that other than the expected eight small needle holes from device application, no other damage to the skin was sustained in 98.3% of cases. Conversely, of the 60 devices pulled, 93.3% of the devices sustained no damage and all could be re-applied. Four (6.7%) of the devices remained in place despite a maximum pull weight >22lb F (pound-force). The mean pull weights for pin bar pull were (lb F ): vertical 9.2 (SD=5.0); perpendicular 2.5 (SD=1.7); and parallel 5.3 (SD=3.1). For the encompassed pull position group, mean pull weights were (lb F ): vertical 5.7 (SD=2.3); perpendicular 3.0 (SD=2.5); and parallel 14.5 (SD=3.5). The overall mean for all groups was 6.7 (SD=5.2). The two main reasons that the iTClamp was pulled off were because the friction lock let go or the needles slipped out of one side of the skin due to the angle of the pull. CONCLUSION: Inadvertent, forcible removal of the iTClamp created essentially no skin damage seen when the wound clamp was forcibly removed from either cadaver or swine models in a variety of positions and directions. Thus, the risks of deployment in operational environments do not seem to be increased. Mckee JL , Lakshminarasimhan P , Atkinson I , LaPorta AJ , Kirkpatrick AW . Evaluation of skin damage from accidental removal of a hemostatic wound clamp (the iTClamp). Prehosp Disaster Med. 2017;32(6):651-656.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.752
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.049
GPT teacher head0.341
Teacher spread0.292 · 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 teacher head, 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

Citations4
Published2017
Admission routes2
Has abstractyes

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