Evidence map›Paper›PMID 27255487›Full record

ArticleDrug safety2016

Drug Safety Monitoring in Children: Performance of Signal Detection Algorithms and Impact of Age Stratification.

Osemeke U Osokogu, Caitlin Dodd, Alexandra Pacurariu, Florentia Kaguelidou, Daniel Weibel, Miriam C J M Sturkenboom

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Drug safety, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Review
  5. Important Considerations for Signal Detection and Evaluation.Therapeutic innovation & regulatory science · 2023
    Review
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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

6 authors at 3 institutions in 2 countries.

Osemeke U OsokoguDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands.
Caitlin DoddDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands. c.dodd@erasmusmc.nl.
Alexandra PacurariuDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands.
Florentia KaguelidouDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands.
Daniel WeibelDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands.
Miriam C J M SturkenboomDepartment of Medical Informatics, Erasmus University Medical Center, Rotterdam, 3015 CN, The Netherlands.
Erasmus MC · NLInserm · FRMedicines Evaluation Board · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSpontaneous reports of suspected adverse drug reactions (ADRs) can be analyzed to yield additional drug safety evidence for the pediatric population. Signal detection algorithms (SDAs) are required for these analyses; however, the performance of SDAs in the pediatric population specifically is unknown. We tested the performance of two SDAs on pediatric data from the US FDA Adverse Event Reporting System (FAERS) and investigated the impact of age stratification and age adjustment on the performance of SDAs.

methodsWe tested the performance of two established SDAs: the proportional reporting ratio (PRR) and the empirical Bayes geometric mean (EBGM) on a pediatric dataset from FAERS (2004-2012). We compared the performance of the SDAs with a published pediatric-specific reference set by calculating diagnostic test-related statistics, including the area under the curve (AUC) of receiver operating characteristics. Impact of age stratification and age-adjustment on the performance of the SDAs was assessed. Age adjustment was performed by pooling (Mantel-Hanszel) stratum-specific estimates.

resultsA total of 115,674 pediatric reports (patients aged 0-18 years) comprising 893,587 drug-event combinations (DECs) were analysed. Crude values of the AUC were similar for both SDAs: 0.731 (PRR) and 0.745 (EBGM). Stratification unmasked four DECs, e.g., 'ibuprofen and thrombocytopenia'. Age adjustment did not improve performance.

conclusionThe performance of the two tested SDAs was similar in the pediatric population. Age adjustment does not improve performance and is therefore not recommended to be performed routinely. Stratification can reveal new associations, and therefore is recommended when either drug use is age-specific or when an age-specific risk is suspected.

Indexed as

AlgorithmsAdolescentAdverse Drug Reaction Reporting SystemsAge DistributionAge FactorsBayes TheoremChildChild, PreschoolDatabases, FactualDrug-Related Side Effects and Adverse ReactionsHumansInfantInfant, NewbornROC CurveUnited StatesUnited States Food and Drug Administration

Identifiers

PMID27255487
PMCPMC4982893
OpenAlexW2418123132

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.