Evidence map›Paper›PMID 11735602›Full record

ReviewClinical pharmacokinetics2001

Pharmacogenetics: the therapeutic drug monitoring of the future?

M H Ensom, T K Chang, P Patel

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 119 citations in OpenAlex.

  1. Guideline
  2. Clinical effects of CYP2D6 phenoconversion in patients with psychosis.Journal of psychopharmacology (Oxford, England) · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Novel Approaches to Characterize Individual Drug Metabolism and Advance Precision Medicine.Drug metabolism and disposition: the biological fate of chemicals · 2023
    Review
  7. Therapeutic drug monitoring in pediatric renal transplantation.Pediatric nephrology (Berlin, Germany) · 2015
    Review
  8. Article
  9. Article
  10. Article
  11. Development and implementation of a pharmacist-managed clinical pharmacogenetics service.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2011
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Pharmacogenetics, the next challenge for pharmacy?Pharmacy world & science : PWS · 2006
    Review
  18. Review
  19. Review
  20. Impact of genetic testing on complex diseases.European journal of epidemiology · 2005
    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

3 authors at 1 institution in 1 country.

M H EnsomFaculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, Canada. ensom@interchange.ubc.ca
T K Chang
P Patel
University of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variability in drug response occurs as a result of molecular alterations at the level of drug-metabolising enzymes, drug targets/receptors, and drug transport proteins. In this paper, we discuss the possibility that therapeutic drug monitoring (TDM) in the future will involve not the mere measurement and interpretation of drug concentrations but will include both traditional TDM and pharmacogenetics-oriented TDM. In contrast to traditional TDM, which cannot be performed until after a drug is administered to the patient. pharmacogenetics-oriented TDM can be conducted even before treatment begins. Other advantages of genotyping over traditional TDM include, but are not limited to, the following: (i) it does not require the assumption of steady-state conditions (or patient compliance) for the interpretation of results; (ii) it can often be performed less invasively (with saliva, hair root or buccal swab samples); (iii) it can provide predictive value for multiple drugs [e.g. a number of cytochrome P450 (CYP) 2D6, CYP2C 19 or CYP2C9 substrates] rather than a single drug; (iv) it provides mechanistic, instead of merely descriptive, information; and (v) it is constant over an individual's lifetime (and not influenced by concurrent drug administration, alteration in hormonal levels or disease states). Pharmacogenetic information can be applied a priori for initial dose stratification and identification of cases where certain drugs are simply not effective. However, traditional TDM will still be required for all of the reasons that we use it now. In current clinical practice, pharmacogenetic testing is performed for only a few drugs (e.g. mercaptopurine, thioguanine, azathioprine, trastuzumab and tacrine) and in a limited number of teaching hospitals and specialist academic centres. We propose that other drugs (e.g. warfarin, phenytoin, codeine, oral hypoglycaemics, tricyclic antidepressants, aminoglycosides, digoxin, cyclosporin, cyclophosphamide, ifosfamide, theophylline and clozapine) are potential candidates for pharmacogenetics-oriented TDM. However, prospective studies of phaymacogenetics-oriented TDM must be performed to determine its efficacy and cost effectiveness in optimising therapeutic effects while minimising toxicity. In the future, in addition to targeting a patient's drug concentrations within a therapeutic range, pharmacists are likely to be making dosage recommendations for individual drugs on the basis of the individual patient's genotype. As we enter the era of personalised drug therapy, we will be able to identify not only the best drug to be administered to a particular patient, but also the most effective and safest dosage from the outset of therapy.

Indexed as

Cytochrome P-450 Enzyme SystemDrug MonitoringDrug TherapyDrug UtilizationGenetic VariationHumansMembrane Transport ProteinsPharmacogeneticsPredictive Value of TestsCytochrome P-450 Enzyme SystemMembrane Transport Proteins

Identifiers

PMID11735602
OpenAlexW2063035659

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.