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Record W2141213989 · doi:10.1186/s40697-015-0042-0

Should Temporary Hemodialysis Catheter Insertion Remain a Requirement of Nephrology Residency Training?

2015· article· en· W2141213989 on OpenAlexaff
Arsh K. Jain

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2015
Typearticle
Languageen
FieldMedicine
TopicSimulation-Based Education in Healthcare
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsHemodialysis CatheterMedicineHemodialysisSpecialtyNephrologyVascular accessIntensive care medicineCatheterInternal medicineMedical educationSurgeryFamily medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Recently, there has been much debate about the practicality and utility of training nephrology fellows in temporary hemodialysis catheter insertion. SOURCES OF INFORMATION: Literature review along with the authors' opinion. FINDINGS: This skill can be taught easily, in a controlled fashion to maximize success and minimize complications. In order to achieve this training centres should be required to teach using simulation based mastery learning and ultrasound guidance. Employing these strategies makes the inexperienced operator perform at the level of an experienced operator. As a specialty, nephrologists have a responsibility to provide hemodialysis in a timely fashion during emergencies, meaning nephrologists should be able to insert temporary hemodialysis catheters. We should take ownership over this skill and depend on no other specialty. LIMITATIONS: Limited data has been published on this subject. IMPLICATIONS: Temporary hemodialysis catheter insertion should be maintained as a core competency by the Royal College.

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)0.004
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.128
GPT teacher head0.365
Teacher spread0.237 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations6
Published2015
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Kidney Health and DiseaseSame topicSimulation-Based Education in HealthcareFrench-language works237,207