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Record W2791532905 · doi:10.1093/ofid/ofy045

Is a Single Fecal Microbiota Transplant a Promising Treatment for Recurrent Clostridium difficile Infection?

2018· article· en· W2791532905 on OpenAlex
Susy Hota, Susan M. Poutanen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpen Forum Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsMount Sinai HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsClostridium difficileFecal bacteriotherapyMedicineFecesMicrobiologyC difficileClostridium InfectionsAntibioticsBiology

Abstract

fetched live from OpenAlex

Abstract Clostridium difficile infection, a common hospital-associated infection, is a gastrointestinal illness that becomes recurrent in about 25% of infected patients. Fecal microbiota transplantation (FMT) is increasingly supported by clinical trials as an effective treatment for recurrent Clostridium difficile infection, but a number of questions remain about how it can be optimally performed. In this Perspective, we discuss controversies in FMT methodologies and reporting within randomized controlled trials, all of which may influence clinical outcomes in treated patients. Finally, we focus on the question of whether single vs multiple FMTs are necessary to achieve favorable outcomes for the treatment of recurrent Clostridium difficile infection, postulating on why there may be an association between number of FMTs and clinical effectiveness.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.349
Teacher spread0.300 · 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