Evidence map›Paper›PMID 22684128›Full record

ArticleEuropean journal of clinical pharmacology2013

The association between prescribed opioid use for mothers and children: a record-linkage study.

Tomas Log, Svetlana Skurtveit, Randi Selmer, Aage Tverdal, Kari Furu, Ingeborg Hartz

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Article in European journal of clinical pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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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.

Tomas LogDepartment of Pharmacy, University of Tromsø, 9037 Tromsø, Norway. tomas.log@uit.no
Svetlana Skurtveit
Randi Selmer
Aage Tverdal
Kari Furu
Ingeborg Hartz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe repeated use of prescription opioids may lead to serious side effects. It is therefore important to examine factors associated with such repeated use. The aim of this study was to investigate the association between the maternal use of prescription opioids and their use by offspring of these mothers.

methodsData were extracted from two nationwide registers linked by unique personal identity numbers: the 2001 Norwegian Population and Housing Census and the Norwegian Prescription Database 2004-2009. The study population consisted of 97,574 adolescents aged 15-16 years in 2001 and their mothers. The repeated use of opioids was defined as the issuing of >4 and >15 prescriptions to an adolescent and his/her mother, respectively, during the period 2004-2009. Non-steroidal anti-inflammatory drugs (NSAIDs) are not potentially addictive, and individuals issued prescriptions for NSAIDs were used as the reference analgesic drug group.

resultsThe proportion of repeated prescription opioid users was higher among adolescents whose mother was registered as a repeated user of prescription opioids (8.4 %) than among those whose mother did not repeatedly use prescription opioids (2.4 %). The odds ratio (OR) was 3.1 [95 % confidence interval (CI) 2.7-3.6] when adjusted for the mother's socioeconomic characteristics and the gender of the offspring. A lower socioeconomic position of the mother increased the risk of repeated opioid use by her offspring. Maternal repeated use of NSAIDs was associated with repeated use of NSAIDs among offspring (OR 1.8, 95 % CI 1.7-2.0).

conclusionsAmong our study population, the maternal use of opioids was associated with the repeated use of prescription opioids among the respective offspring. The same association was seen with NSAIDs, but to a lesser extent.

Indexed as

AdolescentAdultAnalgesics, OpioidDatabases, FactualFemaleHumansMaleMiddle AgedMothersNorwayRegistriesAnalgesics, Opioid

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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.