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Record W2152977635 · doi:10.1016/j.java.2015.02.002

Radiology-Implanted Arm Ports: A Review of the Literature

2015· review· en· W2152977635 on OpenAlexaff
Brent Burbridge, Grant Stoneham, Hyun J. Lim, Chel-Hee Lee

Bibliographic record

VenueJournal of the Association for Vascular Access · 2015
Typereview
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsUniversity of SaskatchewanRoyal University Hospital
Fundersnot available
KeywordsMedicinePneumothoraxInterventional radiologyRadiologyPort (circuit theory)SurgeryHemothoraxMedical physicsCatheter

Abstract

fetched live from OpenAlex

Abstract Introduction: Placement of totally implanted venous access devices, or port systems, in the upper arm is becoming a common practice in interventional radiology. To gain a better understanding of the literature in this area, we performed a search for and analysis of previous publications related to upper arm implantation of these devices by members of interventional radiology departments. Methods: A review of the literature pertaining to upper arm port systems implanted in human beings by members of interventional radiology departments was performed, assessing publications between the years 1992 and 2014. Only English-language publications were assessed. Results: Eighteen publications met selection criteria during the time frame reviewed. None of the studies used a prospective, randomized design; rather, all studies consisted of case–cohort descriptions of outcomes for a single device or for multiple devices. Analysis of the available literature for interventional radiology-inserted arm ports was performed. The technical success rate ranged between 93.7% and 100%, with an average of 98.9%. Conclusions: The high technical success rate of arm port implantation and the elimination of the potential for pneumothorax, hemothorax, catheter pinch-off syndrome, and subclavian and carotid artery injury are strengths of the arm implantation strategy. There was wide variation in the rates of complications detected, in addition to inconsistent study design and study implementation strategies.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.260
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
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 head0.077
GPT teacher head0.440
Teacher spread0.363 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2015
Admission routes1
Has abstractyes

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