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Record W3035041093 · doi:10.1016/j.java.2016.08.005

Radiology Implanted Forearm Ports: A Review of the Literature

2017· review· en· W3035041093 on OpenAlexaff
Brent Burbridge, Ian Chan, Rhonda Bryce, Chel-Hee Lee, Hyun J. Lim

Bibliographic record

VenueJournal of the Association for Vascular Access · 2017
Typereview
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineForearmPort (circuit theory)Interventional radiologyRadiologySurgery

Abstract

fetched live from OpenAlex

Abstract Background: Insertion of totally implanted venous access devices; that is, port systems, in the forearm is an option for long-term venous access. To better understand the radiology literature reported for this anatomic location, we performed a search for, and an analysis of, previous publications related to forearm implantation of these devices by interventional radiology department personnel. Materials and Methods: A review of the literature was performed for articles describing radiology implantation of forearm ports. Articles published between 1990 and 2015 were reviewed. Results: Eleven articles were found that met the review criteria. None were randomized studies and only 1 was a prospective study. All of the other studies were retrospective reviews of a variety of different port devices. An analysis of these articles was performed. Conclusions: Forearm port implantation had high technical success rates (range, 98%–100%; mean, 99.7%). A wide variety of complications were encountered, none of which exceeded the Society of Interventional Radiology threshold levels for complications associated with port insertion. A subset of the studies were upper arm venipunctures with the port catheter and housing subsequently implanted in the forearm distal to the antecubital fossa.

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)0.005
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.566
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.106
GPT teacher head0.473
Teacher spread0.368 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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