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Record W2999915752 · doi:10.1111/head.13726

Evidence Regarding Medication Overuse Headache in Children and Adolescents: Protocol for a Systematic Review

2020· review· en· W2999915752 on OpenAlexaboutno aff
Juliana H. VanderPluym, Jessica Gautreaux, Rebecca Burch, Evans Whitaker, Jason Roberts, Dana P. Turner, Amy A. Gelfand

Bibliographic record

VenueHeadache The Journal of Head and Face Pain · 2020
Typereview
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsnot available
FundersAmerican Headache Society
KeywordsMedicineMigrainePsycINFOMEDLINETopiramatePhysical therapyPediatricsPsychiatryEpilepsy

Abstract

fetched live from OpenAlex

OBJECTIVES: This proposed systematic review will identify the existing evidence on medication-overuse headache in children and adolescents. BACKGROUND: A number of medications have been shown to be effective for acute treatment of migraine in children and adolescents. However, patients may find they need to use their acute medications more frequently when migraine frequency is high. This has led to concern about their potential to develop medication-overuse headache. METHODS: We will search PubMed, Embase, Web of Science, PsycINFO, and Cochrane databases from their inception to present time. We will also search conference proceedings of the last 4 scientific meetings of relevant societies and scan the reference lists of studies identified through the search. Study designs will include case series, cross-sectional, cohort, case-control, and interventional studies. Participants will include children and adolescents under 18 years of age with primary headache disorders. We aim to determine whether frequency of acute medication use is associated with headache frequency in children and adolescents. Outcomes of interest include: (1) headache frequency; (2) change in headache frequency, with time and in relationship to use of acute medications; and (3) headache-related disability. We will also review data addressing treatment/management of medication overuse or medication-overuse headache in children and adolescents. Relevant comparators will be withdrawal vs reduction of acute medication, initiation of preventive therapy vs no initiation with or without withdrawal of acute medication, and initiation of preventive therapy early vs late. Outcomes of interest include (1) days of acute medication use; (2) headache frequency; (3) change in headache frequency; and (4) headache-related disability. After screening for inclusion, 2 team members will independently review and extract relevant data, and any discrepancies will be resolved through discussion and arbitration. We will assess risk of bias using appropriate tools (Cochrane Risk of Bias for randomized controlled trials (RCT) and Newcastle-Ottawa Score for observational studies). Data will be summarized descriptively in text and tables. RESULTS: This systematic review will provide an overview of the available evidence on medication-overuse headache in children and adolescents. CONCLUSIONS: Findings from this review will aid clinicians by clarifying for them the current state of the evidence base, and will inform design of future research on this topic.

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)0.058
metaresearch head score (Gemma)0.085
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.077
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0580.085
Meta-epidemiology (narrow)0.0060.005
Meta-epidemiology (broad)0.0170.020
Bibliometrics0.0160.014
Science and technology studies0.0040.004
Scholarly communication0.0080.010
Open science0.0050.007
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0770.008

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 head0.093
GPT teacher head0.409
Teacher spread0.316 · 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
GenreProtocol

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

Citations11
Published2020
Admission routes1
Has abstractyes

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