Evidence map›Paper›PMID 33828387›Full record

ArticleJournal of pharmacy & bioallied sciences2020

Prescribing of Nonsteroidal Anti-inflammatory Drugs, Tramadol, and Opioids in Children: Patterns of Its Utilization.

Che Suraya Zin

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

1 author at 1 institution in 1 country.

Che Suraya ZinKulliyyah of Pharmacy, International Islamic University Malaysia (IIUM), Kuantan, Pahang, Malaysia.
International Islamic University Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalgesic is commonly used in children but little is known about its patterns of utilization. This study explored the patterns of analgesic prescribing in children. MATERIALS AND

methodsThis cross-sectional study used prescription databases of tertiary hospital settings in Malaysia from 2010 to 2016. Prescriptions for nine NSAIDs (diclofenac, ketoprofen, etoricoxib, celecoxib, ibuprofen, indomethacin, mefenamic acid, meloxicam, and naproxen), tramadol, and five other opioids (morphine, oxycodone, fentanyl, buprenorphine, and dihydrocodeine) prescribed for children aged <18 years were included. Number of annual patients and prescriptions were measured and analyzed using Stata v15.

resultsDuring a 7-year study period, a total of 5040 analgesic prescriptions of the nine NSAIDs, tramadol, and five other opioids were prescribed for 2460 pediatric patients (81.8% NSAIDs patients, 17.9% tramadol patients, and 0.3% opioid patients). Ibuprofen was the primary analgesic in young children less than 12 years old (≤2 years old [y.o.] [75%], 3-5 y.o. [85%], and 6-12 y.o. [56.3%]). However, there was a wide range of analgesics used in older children (>12 y.o.) with the majority for naproxen (13-15 y.o. (28.2%) and 16-17 y.o. (28.2%). Other frequently prescribed analgesics for older children included ibuprofen (20.6%) and diclofenac (18.2%) for 12-15 y.o. and diclofenac (26.7%) and tramadol (17.6%) for 16-17 y.o.

conclusionIbuprofen was the primary analgesic for children less than 12 y.o., whereas there was a wide range of analgesics prescribed for children age >12 y.o. including naproxen, diclofenac, and tramadol.

Indexed as

Analgesicschildren prescribingMalaysiaNSAIDsopioidstramadol

Identifiers

PMID33828387
PMCPMC8021057
OpenAlexW3095229086

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.