Evidence map›Paper›PMID 25819310›Full record

SynthesisBritish journal of clinical pharmacology2015

Pharmacovigilance in children: detecting adverse drug reactions in routine electronic healthcare records. A systematic review.

Corri Black, Nara Tagiyeva-Milne, Peter Helms, Dorothy Moir

Abstract readSystematic Review
In one paragraph

Synthesis in British journal of clinical pharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Adverse drug reactions.British journal of clinical pharmacology · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Corri BlackHealth Informatics Research, University of Aberdeen, Aberdeen, UK.
Nara Tagiyeva-MilneHealth Informatics Research, University of Aberdeen, Aberdeen, UK.
Peter HelmsHealth Informatics Research, University of Aberdeen, Aberdeen, UK.
Dorothy MoirHealth Informatics Research, University of Aberdeen, Aberdeen, UK.

Funding

Chief Scientist Office ARPG/07/04Chief Scientist Office ARPG/07/4Medical Research Council MR/K007017/1
6 · The paper itself

Abstract

aimsA systematic review of the literature published in English over 10 years was undertaken in order to describe the use of electronic healthcare data in the identification of potential adverse drug reactions (ADRs) in children.

methodsMEDLINE and EMBASE were searched using MESH headings and text words. Titles, keywords and abstracts were checked for age <18 years, potential ADRs and electronic healthcare data. Information extracted included age, data source, pharmacovigilance method, medicines and ADRs. Studies were quality assessed.

resultsFrom 14 804 titles, 314 had a full text review and 71 were included in the final review. Fifty were published in North America, 10 in Scandinavia. Study size ranged from less than 1000 children to more than 10 million. Sixty per cent of studies used data from one source. Comparative observational studies were most commonly reported (66.2%) with 15% using passive surveillance. Electronic healthcare data set linkage and the quality of the data source were poorly reported. ADRs were classified using the International Classification of Disease (ICD10). Multi-system reactions were most commonly studied, followed by central nervous system and mental and behavioural disorders. Vaccines were most frequently prescribed followed by corticosteroids, general anaesthetics and antidepressants.

conclusionsRoutine electronic healthcare records were increasingly reported to be used for pharmacovigilance in children. This growing and important health protection activity could be enhanced by consistent reporting of studies to improve the identification, interpretation and generalizability of the evidence base.

Indexed as

Electronic Health RecordsPharmacovigilanceAdolescent HealthChild HealthDrug-Related Side Effects and Adverse ReactionsHumansadverse drug reactionschildrenelectronic healthcare datasystematic review

Identifiers

PMID25819310
PMCPMC4594727

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.