Investigation Concerning Combined Use of Acidophilus Biologics and Antibiotics or Anticancer Drugs
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.
Bibliographic record
Abstract
Diarrhea is a very common,important adverse effect associated with antibiotic therapy.For the prevention and treatment of diarrhea,Biofermin (BF) probiotic preparations are prescribed frequently and an antibiotic-resistant probiotic BioferminR (BFR) is particularly useful against antibiotic-associated diarrhea.BFR is often prescribed in combination with antibiotics to which the probiotic is susceptible or with off-label drugs such as anti-cancer drugs.We investigated the concurrent usage of such probiotics and antibiotics and anti-cancer drugs using data from the database of a computer order entry system at the Tokushima University Hospital (April 2006 to March 2008),as well through the use of a questionnaire given to hospital doctors.The results of our study suggested that not all doctors had a sufficient knowledge of the usage of BFR when prescribing it.In routine pharmacy work,pharmacists should therefore actively question doctors concerning prescriptions they have written for the combination of BFR and off-label drugs to ensure the proper use of BFR and prevent the emergence of drug-resistant bacteria due to bacterial mutagenicity associated with antibiotics and anti-cancer drugs.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it