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Record W2951262276 · doi:10.14740/jocmr3854

Updates in Treatment of Recurrent <i>Clostridium difficile</i> Infection

2019· review· en· W2951262276 on OpenAlexvenueno aff
Tanveer Singh, Prabhjot Singh Bedi, Karandeep Bumrah, Jeevandeep Singh, Susmitha Seelam

Bibliographic record

VenueJournal of Clinical Medicine Research · 2019
Typereview
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsClostridium difficileMedicineFecal bacteriotherapyIntensive care medicineTreatment modalityC difficileClostridium InfectionsInternal medicineAntibioticsMicrobiology

Abstract

fetched live from OpenAlex

infection (CDI) is a perpetual problem that leads to increased economic burden, higher healthcare cost, and significant morbidity and mortality. Its treatment remains a challenge. While various treatment approaches have been attempted with different levels of success, robust data establishing the superiority of one approach over the others is lacking. In this article, we review the current evidence pertaining to conventional pharmacological treatment as well as fecal microbiota transplantation (FMT) as a novel, rapidly emerging treatment modality for recurrent CDI.

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)0.012
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.966
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0100.002
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.005
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 head0.522
GPT teacher head0.610
Teacher spread0.088 · 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 designOther design
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

Citations54
Published2019
Admission routes1
Has abstractyes

Explore more

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