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Record W4303045312 · doi:10.1111/hdi.13047

Systematic review of locking solutions for non‐tunneled hemodialysis catheters

2022· review· en· W4303045312 on OpenAlexvenueno aff
Isabelle Boucley, Auguste Dargent, Pascal Andreu, Jean‐Baptiste Roudaut, François Aptel, Marie Labruyère, Marine Jacquier, Amélie Cransac, Jean‐Pierre Quenot

Bibliographic record

VenueHemodialysis International · 2022
Typereview
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
FundersUniversité de BourgogneAgence Nationale de la Recherche
KeywordsMedicineHemodialysisRandomized controlled trialObservational studyCatheterHemodialysis CatheterSurgeryRetrospective cohort studyAdverse effectAcute kidney injuryCohort studyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: We conducted a systematic review of studies investigating lock solutions for use in non-tunneled hemodialysis catheters. METHODS: We searched PubMed and Cochrane databases from inception to June 11, 2021. Study inclusion criteria were: randomized trial or observational study, adults (>18 years), with acute kidney injury (AKI); and temporary non-tunneled catheters. We recorded bleeding events, catheter dysfunction and complications. RESULTS: Of 649 studies identified, 6 were included (4 randomized, 1 non-randomized trial, 1 retrospective cohort study; sample sizes 78-1496 patients). Citrate was compared to heparin in 4 studies, to saline in 1, and ethanol versus saline in 1. Event-free survival of non-tunneled catheters did not differ between groups. Catheter-related infections and adverse events were less frequent with citrate locks, but reached statistical significance in only two studies. CONCLUSION: Existing data are too heterogeneous to enable recommending one type of catheter lock over any other for non-tunneled hemodialysis catheters.

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)0.007
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0090.006
Bibliometrics0.0100.009
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.101
GPT teacher head0.405
Teacher spread0.304 · 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 designSystematic review
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

Citations7
Published2022
Admission routes1
Has abstractyes

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