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Record W4382598049 · doi:10.14740/ijcp511

Popliteal Artery Injury and Loss of Limb After Intraosseous Needle Placement During Resuscitation

2023· article· en· W4382598049 on OpenAlexvenueno aff
Islam Elmitwalli, Craig Smith, Joseph D. Tobias

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2023
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineExtravasationResuscitationSoft tissueLimb lossLimb ischemiaSurgeryTibiaPopliteal arteryIschemiaVascular accessAmputationCardiologyPathology

Abstract

fetched live from OpenAlex

Intraosseous (IO) access is used most frequently for emergent vascular access during the care of critically ill infants and children when intravenous access cannot be rapidly achieved. Although generally safe and effective, complications may occur with extravasation of injected materials or needle damage to soft tissue, bone or vascular structures. We report the rare occurrence of damage to the popliteal artery following IO placement in the proximal tibia of an infant that resulted in distal limb ischemia and loss of limb. Although generally safe and effective, complications may occur with IO placement and its subsequent use related to extravasation of injected materials or needle damage to soft tissue, bone or vascular structures. The history of IO resuscitation is reviewed, techniques of placement discussed, and potential complications outlined. Int J Clin Pediatr. 2023;12(1):22-27 doi: https://doi.org/10.14740/ijcp511

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.055
GPT teacher head0.447
Teacher spread0.392 · 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 designCase report
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
Published2023
Admission routes1
Has abstractyes

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