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Safety of domperidone in children: a systematic review

2016· review· de· W3028949316 on OpenAlexaboutno aff
Liang Huang, Lingli Zhang, Zhiling Wang, Yi Liang, Mengya Wang, Zhiqiang Hu, Shuyan Quan, Zhihui Zhang

Bibliographic record

Venue药物不良反应杂志 · 2016
Typereview
Languagede
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
Fundersnot available
KeywordsDomperidoneMedicineAdverse effectCochrane LibraryAdverse drug reactionIncidence (geometry)CisaprideMeta-analysisInternal medicinePharmacologyDrug

Abstract

fetched live from OpenAlex

Objective To evaluate the safety of domperidone in children. Methods Clinical studies involving domperidone used in children were searched from PubMed, Embase, Cochrane Library, Chinese Biology Medical disc, CNKI, VIP, and Wanfang Database. Adverse drug reaction information bulletins which were reported by WHO Pharmaceuticals Newsletter and National Center for adverse drug reaction monitoring were searched and adverse drug reactions (ADR)/adverse drug events (ADE) related to domperidone were collected. Websites of European Medicines Agency, Food and Drug Administration of United States, Medicines and Healthcare Products Regulatory Agency (MHRA), Health Canada, and Therapeutic Goods Administration were searched and information of risks and benefits related to domperidone treatment were collected. Randomized controlled trails (RCTs) were Meta-analyzed using RevMan 5.2 software and other data were descriptively analyzed. Correlation analysis of domperidone and adverse drug reactions was performed using evaluation criteria of WHO. Severity of ADR/ADE was evaluated using criteria CTCAE 4.03 of United States Department of Health and Human Services. Results A total of 9 RCTs, 1 cohort study, 4 self-controlled studies, and 24 case reports were entered in this study. Meta-analysis of 9 RCTs showed the following results. There were no statistical significance in the incidence of ADR in children between the domperidone group and the control groups of placebo, cisapride, and mosapride. The incidence of ADR in children in the domperidone group was lower than that in the metoclopramide (RR=0.44, 95%CI: 0.23-0.86, P=0.02), and higher than that in the Traditional Chinese Medicine group (RR=16.09, 95%CI: 2.01-129.04, P=0.01). There were no serious adverse events of domperidone reported in the 9 RCTs. It was showed in the self-controlled study that oral domperidone was associated with QTc prolongation in neonates. One hundred and one cases of ADR were reported in 24 case reports. Of them, 80 cases (79.2%) of ADR were mild-to-moderate (CTCAE grading 1-2), 21 cases (20.8%) of ADR were severe (CTCAE grading 3), and no ADR with CTCAE grading 4-5 was reported. The results of causality assessment on above mentioned 101 cases of ADR showed that 2 cases of ADR were associated with domperidone certainly, 76 were probably, 15 cases of ADR induced by drug overdose, and 2 cases induced by combination use of medicines that may cause the same adverse reactions. In April 2014, European Medicines Agency suggested to limit clinical indications and dosage of domperidone. In September 2014, MHRA of Britain announced that domperidone was no longer to use as over-the-counter. Conclusions No enough evidences to prove that the incidence of ADR induced by domperidone was higher than that by the placebo, other gastro-kinetic agents, and other conventional treatments in children. The risks of serious ADR occurrence existed in children with domperidone treatment. Key words: Domperidone; Child; Safety

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)0.006
metaresearch head score (Gemma)0.018
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 score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0060.006
Science and technology studies0.0000.001
Scholarly communication0.0020.002
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 head0.059
GPT teacher head0.409
Teacher spread0.350 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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