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Record W2920876975 · doi:10.14740/jocmr3757

Peripheral Inserted Central Catheter Use and Related Infections in Clinical Practice: A Literature Update

2019· review· en· W2920876975 on OpenAlexvenueno aff
Dimitrios Velissaris, Vasileios Karamouzos, Maria Lagadinou, Charalampos Pierrakos, Markos Marangos

Bibliographic record

VenueJournal of Clinical Medicine Research · 2019
Typereview
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePeripherally inserted central catheterIntensive care medicineSepsisClinical PracticeBloodstream infectionCatheterCentral lineSurgeryPhysical therapy

Abstract

fetched live from OpenAlex

Peripherally inserted central catheter (PICC) lines are commonly used by clinicians in daily practice. This strategy has been established the latest years as a common approach in many clinical conditions. Apart from their usefulness, PICC use is related to some complications. Aim of this review is to summarize all relevant publications regarding the PICC-related infection, as sepsis remains a high mortality syndrome. We conducted a PubMed search to identify all relevant publications referring to infective complications after insertion and use of PICC lines in hospitalized adult patients. A great number of publications suggest that PICC lines are widely used in the management of patients. The use of peripheral inserted central lines is related with a few complications, including bloodstream infections. Existing data mainly support their use in specific clinical conditions because of the low infectious rates. Some conflicting data also exist regarding PICC use, due to an unclear benefit from their use compared to other commonly used strategies. Although a number of complications, including bloodstream infections are related with insertion of PICC lines, their use has a promising role and can be used when indicated in a wide variety of clinical conditions, especially in specific categories of patients and prolonged periods.

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)0.040
metaresearch head score (Gemma)0.067
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesMetaresearch, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0400.067
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0020.024
Insufficient payload (model declined to judge)0.0010.000

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 head0.428
GPT teacher head0.646
Teacher spread0.218 · 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; both teacher heads agree on what is shown here.

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

Citations27
Published2019
Admission routes1
Has abstractyes

Explore more

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