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Punción del acceso vascular mediante catéter-fístula: efecto sobre el dolor del paciente y la adecuación de hemodiálisis

2015· article· es· W2198413141 on OpenAlexaboutno aff
Raúl Darbas Barbé, Catalina Cabot Franco, Gloria Tinto Iborra, Ma Jesús Taboada Álvarez, Cristina Domínguez Orgaz, Celia Balada Sancho, Lourdes Moliner Calderón, Ramón Roca‐Tey, Laura Román García

Bibliographic record

VenueEnfermería Nefrológica · 2015
Typearticle
Languagees
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Introduction: The use of new needle designs for VA puncture may improve the quality of life of patients (pts) and the parameters of HD efficacy. Objectives:To evaluate whether there are differences in the intensity of the pain perceived by the pts and HD adequacy (Kt Index) after brachial arteriovenous fistula (AVF) puncture through catheter-fistula (CF) or standard needling (SN). Patients and methods: We performed a prospective, controlled, nonrandomized study during 2 months (24 HD sessions) to compare needling by CF (cases) versus SN (controls) in prevalent HD pts dialyzed by brachial AVF. The same patient was the case and the control when the CF (12 sessions) and the conventional 15G needle (12 sessions) were used, respectively. The CF is a biocompatible puncture cannula composed by an internal metal needle intended to AVF puncture and an external fluroplastic catheter (15G) that remains inside the arterialized vein. The pain related either with needling or with needle withdrawal was quantified using a validated visual analogue scale (VAS) and the ShortForm McGill Pain Questionnaire (SF-MPQ). Results: We analyzed 14 prevalent HD pts (mean age 68.4 +/- 10.43 years; 71% male; 28.6 % diabetic nephropathy; mean time on HD 36.57 +/- 18.28 months) dialyzed by brachiocephalic (50%), brachiobasilic (21%) or brachioperforating (29%) fistula. During both needling and needle withdrawal, the VAS was significant lower for CF (2.07 +/- 0.73 and 0,76 +/- 0,39) compared to SN (2.88 +/- 0.99 and 1.85 +/- 0.95) (for both comparisons, p < 0,001).

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.003

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 head0.050
GPT teacher head0.359
Teacher spread0.309 · 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
GenreEmpirical

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

Citations2
Published2015
Admission routes1
Has abstractyes

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