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Record W3193000512 · doi:10.1080/09546634.2021.1967269

Isotretinoin for acne vulgaris – an update on adverse effects and laboratory monitoring

2021· review· en· W3193000512 on OpenAlexaff
Haady Fallah, Marius Rademaker

Bibliographic record

VenueJournal of Dermatological Treatment · 2021
Typereview
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsSKiN Health
Fundersnot available
KeywordsIsotretinoinMedicineAdverse effectAcneDermatologyMucocutaneous zoneConfusionIntensive care medicineDiseaseInternal medicine

Abstract

fetched live from OpenAlex

A significant barrier to the usage of isotretinoin has been concerns regarding its adverse effect profile. The dose-dependent mucocutaneous side effects of isotretinoin are well recognized and easily managed, particularly if a lower dose is used. A possible association with depression has gained widespread media attention and is a source of concern for many patients and their carers, but data from prospective studies and recent meta-analyses have been reassuring. Furthermore, there has been much confusion amongst both patients and physicians regarding a possible association with inflammatory bowel disease, as well the ocular and rheumatological adverse effects of isotretinoin. We provide an update on the evidence surrounding the adverse effects of isotretinoin and discuss practical strategies to prevent and manage these adverse effects. We also discuss appropriate laboratory monitoring for patients taking isotretinoin.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.064
GPT teacher head0.399
Teacher spread0.335 · 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 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

Citations21
Published2021
Admission routes1
Has abstractyes

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