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Record W2223732493 · doi:10.1155/2015/496437

Low Awareness but Positive Attitudes Toward Fecal Transplantation in Ontario Physicians

2015· article· en· W2223732493 on OpenAlexafffundabout
Madison Dennis, Mary Jane Salpeter, Susy Hota

Bibliographic record

VenueCanadian Journal of Infectious Diseases and Medical Microbiology · 2015
Typearticle
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsUniversity Health NetworkUniversity of Toronto
FundersUniversity Health Network
KeywordsFecal bacteriotherapyTransplantationFecesMedicineFamily medicineIntensive care medicineInternal medicineMicrobiologyBiologyClostridium difficileAntibiotics

Abstract

fetched live from OpenAlex

BACKGROUND: Despite mounting evidence supporting fecal transplantation (FT) as a treatment for recurrent Clostridium difficile infection (CDI), adoption into clinical practice has been slow. OBJECTIVE: To determine the health literacy and attitudes of academic physicians in Toronto and infectious disease physicians in Ontario toward FT as a treatment for recurrent CDI, and to determine whether these are significant barriers to adoption. METHODS: Surveys were distributed to 253 general internists, infectious diseases specialists, gastroenterologists and family physicians. RESULTS: The response rate was 15%. More than 60% of physicians described themselves as being 'not at all' or 'somewhat' familiar with FT. Of the 76% of physicians who had never referred a patient for FT, the most common reason (50%) was lack of awareness of where to access the treatment. The 'ick factor' accounted for only 13% of reasons for not referring. No respondent believed that the procedure was too risky to consider. CONCLUSION: Despite general poor health literacy on FT, most physicians sampled share similar positive attitudes toward the treatment.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.507

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.275
Teacher spread0.257 · 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 designObservational
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
Published2015
Admission routes3
Has abstractyes

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Same venueCanadian Journal of Infectious Diseases and Medical MicrobiologySame topicClostridium difficile and Clostridium perfringens researchFrench-language works237,207