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Record W2023297065 · doi:10.3747/pdi.2011.00136

First Report of Peritoneal Dialysis–Related Peritonitis Caused by <i>Citrobacter amalonaticus</i>

2012· letter· en· W2023297065 on OpenAlexaboutno aff
Mary Wong, Susanna K. P. Lau, Sydney Tang, Shirly O. T. Curreem, Patrick C. Y. Woo, Kwok‐Yung Yuen

Bibliographic record

VenuePeritoneal Dialysis International · 2012
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsnot available
Fundersnot available
KeywordsPeritoneal dialysisMedicinePeritonitisCitrobacterInternal medicineIntensive care medicineGastroenterologyEnterobacterEscherichia coli

Abstract

fetched live from OpenAlex

PDI2. Evidence supporting the cessation of PD in fast transporters to prevent progression to EPS is lacking.In fact, EPS often develops after the cessation of PD for kidney transplant or transfer to hemodialysis (for reasons other than EPS) (2-5).For those reasons, the Work Group feels that the added effort and expense imposed by routine serial PET assessment are not justified.We feel that early diagnosis and prevention of EPS are important goals in PD care that require further study.The second comment by the authors, that the PET is crucial to implementation of an optimal PD prescription, is highlighted as being of particular importance in fast transporters who may have better outcomes with automated PD and icodextrin (6).In recent years, automated PD has become increasingly common in Canada, independent of transport status, because of patient lifestyle choice.We agree that a PET at the time of PD initiation may be a useful guide to a suitable prescription, but in general, patients with significant residual renal function tend do well with most continuous ambulatory and continuous cycling PD prescriptions.We disagree that routine serial PET is crucial to PD prescription in all patients.For example, in those who are clinically well on their current regimen, the PET result is unlikely to alter management regardless of transport status.We advocate close follow-up of all PD patients for clinical (and laboratory) signs and symptoms of inadequate dialysis.Potentially inadequately dialyzed PD patients should be reassessed, with a PET if necessary, and suitable prescription changes made at that time.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.258
Teacher spread0.249 · 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.

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

Citations7
Published2012
Admission routes1
Has abstractyes

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