MétaCan
Menu
Back to cohort
Record W3137015745 · doi:10.24926/iip.v12i1.3439

The Positive Association between Proton Pump Inhibitors and Clostridium Difficile Infection

2021· review· en· W3137015745 on OpenAlexaboutno aff
Dania Tawam, Michael Baladi, Paiboon Jungsuwadee, Grace Earl, Jayoung Han

Bibliographic record

VenueINNOVATIONS in pharmacy · 2021
Typereview
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsnot available
Fundersnot available
KeywordsClostridium difficileMedicineInternal medicineProton-pump inhibitorIntensive care medicineDiseaseAntibioticsMicrobiology

Abstract

fetched live from OpenAlex

BACKGROUND: Proton pump inhibitors (PPIs) are among the most commonly used medications by patients due to its availability over the counter and frequent prescribing by physicians to treat and alleviate symptoms of gastroesophageal reflux disease. Recently, the FDA issued a warning with respect to the utilization of PPIs and risk of developing Clostridium difficile infections (CDI). The most commonly known medications to cause CDI are antibiotics. However, available studies suggest an association and increase in risk for CDI with PPI use as well. OBJECTIVE: The purpose of this research is to review and summarize data currently available on the association between PPIs and CDI. METHODS: To search for eligible studies, EBSCO engines were investigated using proton pump inhibitors or PPIs and Clostridium difficile or C. diff. as search terms. Meta analyses and systematic reviews published between 2000 and 2020 on adult patients were considered. RESULTS: Eight meta-analyses and systematic reviews met the inclusion criteria. They included studies conducted in the US, Europe, Asia and Canada on inpatient and outpatient adults. The final result for all 8 studies showed a statistically significant association between PPIs and CDI ranging from mild to high risk. CONCLUSION: Currently available data suggest a positive association between PPIs and 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · 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
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.068
GPT teacher head0.412
Teacher spread0.344 · 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 designNot applicable
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

Citations52
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueINNOVATIONS in pharmacySame topicClostridium difficile and Clostridium perfringens researchFrench-language works237,207