Evidence map›Paper›PMID 25258277›Full record

ArticleClinical pharmacokinetics2015

Tramadol and o-desmethyl tramadol clearance maturation and disposition in humans: a pooled pharmacokinetic study.

Karel Allegaert, Nick Holford, Brian J Anderson, Sam Holford, Frank Stuber, Alain Rochette, Iñaki F Trocóniz, Horst Beier, Jan N de Hoon, Rasmus S Pedersen and 1 more

Abstract read
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In one paragraph

Article in Clinical pharmacokinetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. The Pharmacogenetics of Tramadol.Clinical pharmacokinetics · 2015
    Pooled it
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Population Pharmacokinetic Model for Tramadol and O-desmethyltramadol in Older Patients.European journal of drug metabolism and pharmacokinetics · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Population pharmacokinetic analysis of tramadol andDrug design, development and therapy · 2019
    Article
  14. Article
  15. Article
  16. Review
  17. Pharmacokinetic variability due to environmental differences.Translational and clinical pharmacology · 2017
    Review
  18. Why standards are useful for predicting doses.British journal of clinical pharmacology · 2017
    Article
  19. Review
  20. Article
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

11 authors at 7 institutions in 7 countries.

Karel AllegaertNeonatal Intensive Care Unit and Center for Clinical Pharmacology, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium, karel.allegaert@uz.kuleuven.ac.be.
Nick Holford
Brian J Anderson
Sam Holford
Frank Stuber
Alain Rochette
Iñaki F Trocóniz
Horst Beier
Jan N de Hoon
Rasmus S Pedersen
Ulrike Stamer
University of Auckland · NZKU Leuven · BEUniversity of Bern · CHGrünenthal Group (Germany) · DEHôpital Lapeyronie · FRUniversidad de Navarra · ESUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesWe aimed to study the impact of size, maturation and cytochrome P450 2D6 (CYP2D6) genotype activity score as predictors of intravenous tramadol disposition.

methodsTramadol and O-desmethyl tramadol (M1) observations in 295 human subjects (postmenstrual age 25 weeks to 84.8 years, weight 0.5-186 kg) were pooled. A population pharmacokinetic analysis was performed using a two-compartment model for tramadol and two additional M1 compartments. Covariate analysis included weight, age, sex, disease characteristics (healthy subject or patient) and CYP2D6 genotype activity. A sigmoid maturation model was used to describe age-related changes in tramadol clearance (CLPO), M1 formation clearance (CLPM) and M1 elimination clearance (CLMO). A phenotype-based mixture model was used to identify CLPM polymorphism.

resultsDifferences in clearances were largely accounted for by maturation and size. The time to reach 50 % of adult clearance (TM50) values was used to describe maturation. CLPM (TM50 39.8 weeks) and CLPO (TM50 39.1 weeks) displayed fast maturation, while CLMO matured slower, similar to glomerular filtration rate (TM50 47 weeks). The phenotype-based mixture model identified a slow and a faster metabolizer group. Slow metabolizers comprised 9.8 % of subjects with 19.4 % of faster metabolizer CLPM. Low CYP2D6 genotype activity was associated with lower (25 %) than faster metabolizer CLPM, but only 32 % of those with low genotype activity were in the slow metabolizer group.

conclusionsMaturation and size are key predictors of variability. A two-group polymorphism was identified based on phenotypic M1 formation clearance. Maturation of tramadol elimination occurs early (50 % of adult value at term gestation).

Indexed as

AdolescentAdultAgedAged, 80 and overAnalgesics, OpioidChildChild, PreschoolCytochrome P-450 CYP2D6FemaleGenotypeHumansInfantMaleMiddle AgedModels, BiologicalPolymorphism, GeneticAnalgesics, OpioidCytochrome P-450 CYP2D6O-demethyltramadolTramadol

Identifiers

PMID25258277
OpenAlexW2140280928

What OpenQuestion holds

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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.