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Record W1518598999

SSRIs and SNRIs: A review of the Discontinuation Syndrome in Children and Adolescents.

2011· review· en· W1518598999 on OpenAlexaffabout
Sheik Hosenbocus, Raj Chahal

Bibliographic record

VenuePubMed · 2011
Typereview
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsRoyal Inland Hospital
Fundersnot available
KeywordsDiscontinuationMedicineSerotonin reuptake inhibitorReuptake inhibitorPopulationPediatricsPsychiatrySerotoninPsychologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the occurrence, clinical relevance and characteristics of the discontinuation syndrome in children and adolescents who have been on a selective serotonin reuptake inhibitor (SSRI) or a serotonin/norepinephrine re-uptake inhibitor (SNRI) for various conditions as an update for physicians prescribing these medications in this population. METHOD: An on-line literature search was done using MEDLINE, PubMed, CINAHL, PsychARTICLES, and PsychINFO with the following key words: selective serotonin reuptake inhibitors or SSRIs, serotonin/norepinephrine re-uptake inhibitors or SNRIs, discontinuation syndrome, pediatric or children or adolescents, occurrences and characteristics. RESULTS: Not a single randomized placebo-controlled trial was found that addresses this condition solely in the child and adolescent population. A couple of papers written by the same authors indicate that children and adolescents taking an SSRI definitely experience discontinuation reactions that can be mild, moderate or severe when the medication is stopped suddenly or high doses are reduced substantially. Among the SSRIs paroxetine seems to be the worst offender and fluoxetine the least while sertraline and fluvoxamine tend to be intermediate. However, the most serious discontinuation reactions came from the SNRI venlafaxine. There was no study or reports found on citalopram, another SSRI that is commonly prescribed in children and youth. While the adult literature abounds with papers describing the different aspects of this condition including clinical features, diagnostic criteria, management and prevention, the limited information available to-date in children and adolescents indicate that the essential features of the discontinuation syndrome may not be significantly different than in adults. There were no specific characteristics identified relating to the child population. CONCLUSION: In considering the use of an SSRI in children, physicians must seriously weigh the not so clear benefits against the risks of adverse reactions including the discontinuation syndrome. The frequency and severity of this reaction seem dependent on the SSRI half-life and although children metabolize drugs much faster than adults the reactions to-date have been reported as similar. The use of fluoxetine with its long half-life appears safer in this respect with paroxetine and venlafaxine causing the most concerns. Patients and their families should be well informed of the risks of stopping the medication abruptly and instructed not to do so without consulting their physician. Physicians in Canada who are using these medications off-label in children need to be knowledgeable and vigilant about such adverse reactions. These could be avoided through adequate follow ups which will also ensure better adherence. They may benefit from this review even though the information comes mostly form the adult literature. More prospective studies are needed to clarify this issue and identify any specific features relating to 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)0.002
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0070.009
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.268
Teacher spread0.239 · 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

Citations27
Published2011
Admission routes2
Has abstractyes

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