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Local and systemic effects of a silver nitrate coated indwelling pleural catheter in an animal model of pleurodesis

2017· article· en· W6977447474 on OpenAlexaff

Bibliographic record

VenueFigshare · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFinancial Distress and Bankruptcy Prediction
Canadian institutionsFoothills Medical CentreUniversity of Calgary
Fundersnot available
KeywordsPleurodesisAnimal modelCatheterToxicitySilver nitrateHistopathological examinationPleural diseaseAnimal studyPathological

Abstract

fetched live from OpenAlex

<b>Purpose/Aim of the study:</b> This study assessed the safety and potential toxicity of a silver nitrate coated indwelling pleural catheter (SNCIPC) designed to create pleurodesis in a large animal model. <b>Materials and Methods:</b> Sixteen animals underwent insertion of either a SNCIPC or an uncoated silicone catheter. Half of the animals were sacrificed at day 7 and the others at day 30. Animal weight and assessment of well-being, pleural fluid and blood collection were performed at regular intervals. Pleurodesis was assessed at necropsy and histopathological examination of organs performed. <b>Results:</b> No mortality or significant clinical findings were observed throughout the experiment. SNCIPC treated animals had increased pleural fluid drainage overall (p Conclusions: SNCIPC are well tolerated and not associated with any significant signs of toxicity. Silver levels were elevated in local tissues, serum and liver but without evidence of pathological impact. Effective pleurodesis was present by day 7 and more established by day 30. Clinical studies to investigate the safety and efficacy of this device in patients with malignant pleural effusions appear warranted.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.231
Teacher spread0.197 · 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 designSimulation or modeling
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

Citations0
Published2017
Admission routes1
Has abstractyes

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