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Record W4416794932 · doi:10.1177/08968608251400520

Vegetable crudités and peritoneal dialysis-associated peritonitis: An unusual case of foreign body PD peritonitis

2025· article· en· W4416794932 on OpenAlexaff
Michael Che, Tushar Malavade

Bibliographic record

VenuePeritoneal Dialysis International · 2025
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPeritoneal dialysisPeritonitisForeign bodyComplicationDialysisAntibioticsGastrointestinal tract

Abstract

fetched live from OpenAlex

Peritoneal dialysis-associated peritonitis (peritoneal dialysis (PD) peritonitis) is a common complication of peritoneal dialysis associated with adverse events and mortality. Outcomes are poorer when two or more organisms are isolated in the dialysis effluent culture, known as polymicrobial PD peritonitis, which can be caused by an underlying secondary process, such as gastrointestinal tract pathology and, rarely, a foreign body. Here, we report a case of polymicrobial PD peritonitis due to a vegetable matter foreign body perforating the colon. The patient was conservatively managed with antibiotic treatment and subsequent colonoscopic removal of the foreign body without the need for peritoneal dialysis catheter removal. She continues to remain on peritoneal dialysis 18 months after the PD peritonitis episode.

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.299
Teacher spread0.287 · 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 designCase report
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
Published2025
Admission routes1
Has abstractyes

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