Evidence map›Paper›PMID 26839669›Full record

ArticleThe Korean journal of pain2016

The Influence of Genotype Polymorphism on Morphine Analgesic Effect for Postoperative Pain in Children.

Mi Geum Lee, Hyun Jung Kim, Keun Hwa Lee, Yun Suk Choi

Abstract read
In one paragraph

Article in The Korean journal of pain, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

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

  1. Pooled it
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  8. DNA methylation at the mu-1 opioid receptor gene (Pharmacogenomics and personalized medicine · 2017
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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.

Mi Geum LeeDepartment of Anesthesiology and Pain Medicine, Gachon University Gil Medical Center, Incheon, Korea.
Hyun Jung KimDepartment of Anesthesiology and Pain Medicine, Jeju National University School of Medicine, Jeju, Korea.
Keun Hwa LeeDepartment of Microbiology and Immunology, Jeju National University School of Medicine, Jeju, Korea.
Yun Suk ChoiDepartment of Anesthesiology and Pain Medicine, Jeju National University School of Medicine, Jeju, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough opioids are the most commonly used medications to control postoperative pain in children, the analgesic effects could have a large inter-individual variability according to genotypes. The aim of this study was to investigate the association between single nucleotide polymorphisms and the analgesic effect of morphine for postoperative pain in children.

methodsA prospective study was conducted in 88 healthy children undergoing tonsillectomy, who received morphine during the operation. The postoperative pain score, frequency of rescue analgesics, and side effects of morphine were assessed in the post-anesthesia care unit. The children were genotyped for OPRM1 A118G, ABCB1 C3435T, and COMT Val158Met.

resultsChildren with at least one G allele for OPRM1 (AG/GG) had higher postoperative pain scores compared with those with the AA genotype at the time of discharge from the post-anesthesia care unit (P = 0.025). Other recovery profiles were not significantly different between the two groups. There was no significant relationship between genotypes and postoperative pain scores in analysis of ABCB1 and COMT polymorphisms.

conclusionsGenetic polymorphism at OPRM1 A118G, but not at ABCB1 C3435T and COMT Val158Met, influences the analgesic effect of morphine for immediate acute postoperative pain in children.

Indexed as

ABCB1 protein, humanChildCOMT protein, humanMorphineOPRM protein, humanPainPostoperative

Identifiers

PMID26839669
PMCPMC4731550

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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.