Evidence map›Paper›PMID 30826755›Full record

ArticleBMJ open2019

Consumption trends and prescription patterns of opioids from 2011 to 2016: a survey in a Chinese city.

Xiao Liu, Can Luo, Huizhen Dai, Wentong Fang

Abstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

6 citing papers in PubMed.

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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

4 authors.

Xiao LiuDepartment of Pharmacy, Qinghai provincial Peoples Hospital, Xining, Qinaghai, China.
Can LuoDepartment of Pharmacy, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Huizhen DaiDepartment of Pharmacy, Jiangsu Medicine Information Institute, Nanjing, China.
Wentong FangDepartment of Pharmacy, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveOpioid consumption in China has been very less and has varied widely since 1995. The representatively high level of consumption in Mainland China has never been reported. Our aim was to describe the consumption trends and prescription patterns of opioids in Nanjing, a highly developed city of Mainland China, and compare the results with selected worldwide regions.

methodsApplication data of opioids in 2011-2016 were extracted from the Jiangsu Medicine Information Institute. Six opioids were included. Consumption was expressed in terms of defined daily doses (DDDs), morphine equivalents (MEs) and expenditure. The correlation between consumption of opioids and gross domestic product (GDP), Human Development Index (HDI) and cancer incidence was analysed by Pearson's correlation test.

resultsDDDs, expenditure and MEs of opioids were, respectively, 256.04, $599.24 and 13.07 g in 2011, and increased to 361.27, $1041.79 and 18.09 g in 2016. DDDs in Nanjing were 2.80-fold that in Mainland China, 1.42-fold that in East and South-East Asia, but only equivalent to 8.89% of the worldwide average level. From 2011 to 2016, the consumption had a linear correlation with GDP, HDI and cancer incidence (p<0.05). However, DDDs varied greatly in countries with similar GDP or HDI. Within 45 Asian countries, the GDP only contributed to 10.47% of change in DDDs, while the HDI contributed to 20.32%. Consumption of non-intravenous opioids or strong opioids always comprised majority of the total consumption. The opioids prescribed predominantly were fentanyl, oxycodone and morphine. Fentanyl and oxycodone account for most of the increase in consumption.

conclusionOpioid consumption has increased >40% from 2011 to 2016, with consumption of fentanyl and oxycodone accounting for most of that increase. The consumption in Nanjing was higher than the average Chinese level, but lower than the global average. An increase in pain control services might be needed, but this need should be highly regulated.

Indexed as

Analgesics, OpioidCancer PainDrug UtilizationPractice Patterns, Physicians'ChinaHumansNeeds AssessmentPainPrescription DrugsAnalgesics, OpioidPrescription Drugsdefined daily dosedrug utilizationmorphine equivalentopioid analgesicspain management

Identifiers

PMID30826755
PMCPMC6429741

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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.