Evidence map›Paper›PMID 31189217›Full record

ArticlePharmacoepidemiology and drug safety2019

Time to onset in statistical signal detection revisited: A follow-up study in long-term onset adverse drug reactions.

Joep H G Scholl, Florence P A M van Hunsel, Eelko Hak, Eugène P van Puijenbroek

Abstract readComparative Study
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

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7citing papers in PubMed, 1 pooled it
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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

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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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Joep H G SchollNetherlands Pharmacovigilance Centre Lareb, 's-Hertogenbosch, The Netherlands.ORCID 0000-0002-9222-5965
Florence P A M van HunselNetherlands Pharmacovigilance Centre Lareb, 's-Hertogenbosch, The Netherlands.ORCID 0000-0001-8965-3224
Eelko HakDepartment of PharmacoTherapy - Epidemiology & -Economics, University of Groningen, Groningen, The Netherlands.ORCID 0000-0003-0849-7210
Eugène P van PuijenbroekNetherlands Pharmacovigilance Centre Lareb, 's-Hertogenbosch, The Netherlands.ORCID 0000-0002-2236-1398

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn a previous study, we developed a signal detection method using the time to onset (TTO) of adverse drug reactions (ADRs). The aim of the current study was to investigate this method in a subset of ADRs with a longer TTO and to compare its performance with disproportionality analysis.

methodsUsing The Netherlands's spontaneous reporting database, TTO distributions for drug-ADR associations with a median TTO of 7 days or more were compared with other drugs with the same ADR using the two-sample Anderson-Darling (AD) test. Presence in the Summary of Product Characteristics (SPC) was used as the gold standard for identification of a true ADR. Twelve combinations with different values for the number of reports and median TTO were tested. Performance in terms of sensitivity and positive predictive value (PPV) was compared with disproportionality analysis. A sensitivity analysis was performed to compare the results with those from the previous study.

resultsA total of 38 017 case reports, containing 32 478 unique drug-ADR associations. Sensitivity was lower for the TTO method (range 0.08-0.34) compared with disproportionality analysis (range 0.60-0.87), whereas PPV was similar for both methods (range 0.93-1.0). The results from the sensitivity analysis were similar to the original analysis.

conclusionsBecause of its low sensitivity, the developed TTO method cannot replace disproportionality analysis as a signal detection tool. It may be useful in combination with other methods.

Indexed as

Models, StatisticalPharmacovigilanceAdverse Drug Reaction Reporting SystemsDatabases, FactualDrug-Related Side Effects and Adverse ReactionsFeasibility StudiesFollow-Up StudiesHumansNetherlandsPredictive Value of TestsSensitivity and SpecificityTime FactorsADRlatencypharmacoepidemiologypharmacovigilancesignal detectiontime to onset

Identifiers

PMID31189217
PMCPMC6852418

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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.