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Record W1981663742 · doi:10.4103/0255-0857.55436

ESTABLISHED AND POTENTIAL RISK FACTORS FOR CLOSTRIDUM DIFFICILE INFECTION

2009· review· en· W1981663742 on OpenAlexaboutno aff
Chetana Vaishnavi

Bibliographic record

VenueIndian Journal of Medical Microbiology · 2009
Typereview
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsClostridium difficileMedicineIncidence (geometry)Intensive care medicineDiseaseEtiologyAntibioticsOutbreakEpidemiologyInternal medicineBiologyPathologyMicrobiology

Abstract

fetched live from OpenAlex

Clostridium difficile is the aetiological agent for almost all cases of pseudo membranous colitis and 15-25% of antibiotic associated diarrhoea. In recent years, C. difficile associated disease (CDAD) has been increasing in frequency and severity due to the emergence of virulent strains. Severe cases of toxic mega colon may be associated with mortality rates of 24-38%. The prevalence of CDAD is global and the incidence varies considerably from place to place. In the initial stages of its discovery, C. difficile infection was regarded mainly as an outcome of antibiotic intake and not as a life threatening disease. Intervention by man has produced conditions making C. difficile a significant cause of morbidity and mortality. The recent outbreak of CDAD in Quebec has sent the alarm bells ringing. Apart from a threefold increase in the incidence of CDAD, clinicians have also reported a higher number of cases involving toxic mega colon, colectomy or death. Among all the risk factors, inclusive of the host and the environmental factors, antibiotics are the most important ones. Surgical patients comprise 55-75% of all patients with CDAD due to the fact that perioperative prophylaxis requires the use of antibiotics. However, other drugs such as immunosuppressants and proton pump inhibitors are also important risk factors. Thus CDAD is a growing nosocomial and public health challenge. Additionally, the recognition of community acquired CDAD signals the presence of several risk factors. In this review, the established and potential risk factors of CDAD, along with the epidemiology, diagnostic modalities, management and preventive measures of the disease have been elaborated.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.341
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

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

Citations51
Published2009
Admission routes1
Has abstractyes

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