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Record W4411712910 · doi:10.1177/10781552251352203

Lactose intolerance or gastrointestinal adverse drug effect? guidance for oncology pharmacists

2025· review· en· W4411712910 on OpenAlexaff
Lisa Wanbon, Nadine Badry, Mário L de Lemos

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineLactose intoleranceLactoseExcipientPharmacyAdverse effectDrugFlow chartIntensive care medicineInternal medicinePharmacologyFamily medicineFood science

Abstract

fetched live from OpenAlex

Lactose intolerance is quite common among people world-wide. Despite this, lactose is often used as a pharmaceutical excipient due to its pharmacologically inactive nature. We reviewed the literature to determine how much lactose can typically be tolerated by patients reporting a history of lactose intolerance and measured the amount of excipient in commonly used solid oral oncology dosage forms. We determined that most patients should be able to tolerate a significantly higher amount of lactose than that found in maximum daily doses of oncology tablets and capsules, based on our literature review and the measured amount of excipient in commonly used solid oral oncology dosage forms. If patients report gastrointestinal symptoms, adverse drug reactions and medical conditions should be considered as more likely causes than lactose intolerance. We created a flow chart for pharmacists to follow when dispensing oral medications to lactose intolerant patients. This chart may assist in patient management if the lactose content of a medication is questioned or if a patient reports gastrointestinal symptoms.

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)0.005
metaresearch head score (Gemma)0.006
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 score0.856
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.052
GPT teacher head0.490
Teacher spread0.438 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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