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Probiotics for the Prevention of <i>Clostridium difficile</i> –Associated Diarrhea

2012· review· en· W2088092352 on OpenAlexaff
Bradley C. Johnston, Stephanie S.Y., Joshua Z. Goldenberg, Kristian Thorlund, Per Olav Vandvik, Mark Loeb, Gordon Guyatt

Bibliographic record

VenueAnnals of Internal Medicine · 2012
Typereview
Languageen
FieldMedicine
TopicClostridium difficile and Clostridium perfringens research
Canadian institutionsMcMaster UniversityHospital for Sick Children
Fundersnot available
KeywordsMedicineRelative riskInternal medicineClostridium difficileAdverse effectIncidence (geometry)DiarrheaPopulationRandomized controlled trialPlaceboIntensive care medicineAntibioticsConfidence intervalEnvironmental healthAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Antibiotic treatment may disturb the resistance of gastrointestinal flora to colonization. This may result in complications, the most serious of which is Clostridium difficile–associated diarrhea (CDAD). PURPOSE: To assess the efficacy and safety of probiotics for the prevention of CDAD in adults and children receiving antibiotics. DATA SOURCES: Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, CINAHL, Allied and Complementary Medicine Database, Web of Science, and 12 gray-literature sources. STUDY SELECTION: Randomized, controlled trials including adult or pediatric patients receiving antibiotics that compared any strain or dose of a specified probiotic with placebo or with no treatment control and reported the incidence of CDAD. DATA EXTRACTION: Two reviewers independently screened potentially eligible articles; extracted data on populations, interventions, and outcomes; and assessed risk of bias. The Grading of Recommendations Assessment, Development and Evaluation guidelines were used to independently rate overall confidence in effect estimates for each outcome. DATA SYNTHESIS: Twenty trials including 3818 participants met the eligibility criteria. Probiotics reduced the incidence of CDAD by 66% (pooled relative risk, 0.34 [95% CI, 0.24 to 0.49]; I(2) = 0%). In a population with a 5% incidence of antibiotic-associated CDAD (median control group risk), probiotic prophylaxis would prevent 33 episodes (CI, 25 to 38 episodes) per 1000 persons. Of probiotic-treated patients, 9.3% experienced adverse events, compared with 12.6% of control patients (relative risk, 0.82 [CI, 0.65 to 1.05]; I(2) = 17%). LIMITATIONS: In 13 trials, data on CDAD were missing for 5% to 45% of patients. The results were robust to worst-plausible assumptions regarding event rates in studies with missing outcome data. CONCLUSION: Moderate-quality evidence suggests that probiotic prophylaxis results in a large reduction in CDAD without an increase in clinically important adverse events. PRIMARY FUNDING SOURCE: None.

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)0.011
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.040
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.174
GPT teacher head0.430
Teacher spread0.255 · 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 designSystematic review
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

Citations366
Published2012
Admission routes1
Has abstractyes

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