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Record W4365444679

The effect of cannabis exposure on pubertal outcomes: a systematic review

2018· review· en· W4365444679 on OpenAlexaboutno aff
Sims ED, S Anvari, Ju-Yong Lee, Z Samaan, Laura Banfield, L Thabane, Samaan MC

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typereview
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsnot available
Fundersnot available
KeywordsCannabisMedicineSystematic reviewPsychologyMEDLINEPsychiatryChemistry
DOInot available

Abstract

fetched live from OpenAlex

E Danielle Sims,1–3 Sama Anvari,1,2,4,* Yung Lee,1,2,4,* Zainab Samaan,5 Laura Banfield,6 Lehana Thabane,1,7–10 M Constantine Samaan1–4,7 1Department of Pediatrics, McMaster University, Hamilton, ON, Canada; 2Division of Pediatric Endocrinology, McMaster Children’s Hospital, Hamilton, ON, Canada; 3Medical Sciences Graduate Program, McMaster University, Hamilton, ON, Canada; 4Michael G. De Groote School of Medicine, McMaster University, Hamilton, ON, Canada; 5Department of Psychiatry and Neurobehavioral Sciences, McMaster University, Hamilton, ON, Canada; 6Health Sciences Library, McMaster University, Hamilton, ON, Canada; 7Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada; 8Department of Anesthesia, McMaster University, Hamilton, ON, Canada; 9Centre for Evaluation of Medicines, Hamilton, ON, Canada; 10Biostatistics Unit, St. Joseph’s Healthcare, Hamilton, ON, Canada *These authors contributed equally to this work Purpose: Several countries are legalizing the use of medicinal cannabis and easing restrictions on its recreational use. While adults have been the primary target of these initiatives, expanding access to cannabis will likely lead to increased use by children. While the effects of cannabis on pediatric neuropsychological and mental health outcomes have been broadly studied, there are limited data on the physical health effects of cannabis, including endocrine health. Animal studies have shown that chronic cannabis use leads to delayed sexual maturation; however, its effects on pubertal outcomes in children are not well studied. This systematic review aimed to assess the effect of cannabis use on pubertal timing and tempo in children.Methods: We conducted a systematic review with literature searches in MEDLINE, Embase, Cochrane Database of Systematic Reviews, Central, PsycINFO, CINAHL, Web of Science, and SPORTDiscus from inception to February 2018. A gray literature search was also completed in Clinicaltrials.gov and ProQuest Dissertations and Theses A&I. The primary outcome was pubertal timing, while secondary outcomes included pubertal tempo and final height and weight. We had no restrictions on date or language of publication of papers. Two reviewers independently assessed records for eligibility, with a third reviewer resolving disagreements.Results: Our database and gray literature searches identified 759 records. A total of 29 full-text papers were assessed for eligibility. However, all studies were ultimately excluded as they did not meet the eligibility criteria.Conclusion: Our results highlight a significant gap in existing literature regarding the effects of cannabis use on puberty. Adequately powered longitudinal studies are urgently needed to provide pediatricians and other health care providers with high-quality information on the potential effects of cannabis on the physical health of children.Prospective Registrar of Systematic Reviews Registration: PROSPERO no.: CRD42018089397. Keywords: marijuana, puberty, children, pediatric, tetrahydrocannabinol, cannabis

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)0.004
metaresearch head score (Gemma)0.025
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 score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.025
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.006
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.209
GPT teacher head0.592
Teacher spread0.382 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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