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Record W4392645625 · doi:10.3390/children11030323

Melatonin Use in Pediatrics: A Clinical Review on Indications, Multisystem Effects, and Toxicity

2024· review· en· W4392645625 on OpenAlexaff
Pranita Shenoy, Adriana Etcheverry, Jalyn Ia, Manisha Witmans, Mary Anne Tablizo

Bibliographic record

VenueChildren · 2024
Typereview
Languageen
FieldNeuroscience
TopicCircadian rhythm and melatonin
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMelatoninContext (archaeology)MedicinePandemicCircadian rhythmInsomniaPopulationDark therapySleep (system call)PsychiatryCoronavirus disease 2019 (COVID-19)Intensive care medicinePediatricsEndocrinologyInternal medicineEnvironmental healthDiseaseBiology

Abstract

fetched live from OpenAlex

Exogenous melatonin is typically used for sleep regulation in the context of insomnia either in healthy children or those with neurodevelopmental disabilities. It is also used for the management of circadian rhythm sleep disorders in pediatric and adolescent patients. There are also many other possible indications that we will discuss in this paper beyond the role of melatonin for sleep regulation, including its potential use for various areas of medicine such as inflammatory conditions. Since melatonin is unregulated in the United States, distributed over the counter and perceived to be natural and safe, it has become available in many forms in the last two decades. With increasing sleep disturbances and mental health problems after the COVID-19 pandemic, melatonin has become even more popular and studies have shown a dramatic increase in use as well as resulting side effects, including melatonin overdose. As melatonin is generally viewed by physicians as a benign medication, we hope to increase awareness of melatonin's properties as well as negative side effects to optimize its use in the pediatric population.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.070
GPT teacher head0.376
Teacher spread0.306 · 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

Citations26
Published2024
Admission routes1
Has abstractyes

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