Evidence map›Paper›PMID 19031075›Full record

SynthesisEuropean journal of clinical pharmacology2009

Influence of CYP2C9 genotype on warfarin dose requirements--a systematic review and meta-analysis.

Jonatan D Lindh, Lennart Holm, Marine L Andersson, Anders Rane

Open access · greenAbstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of clinical pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 12 pooled it
21.2field-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

76 citing papers in PubMed, 12 syntheses or guidelines pooled it, 220 citations in OpenAlex.

  1. Guideline
  2. Influence ofCardiovascular therapeutics · 2021
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  16. Observational
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  19. Functional Assessment of 12 Rare AllelicJournal of personalized medicine · 2021
    Article
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16 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Jonatan D LindhDivision of Clinical Pharmacology, Karolinska Institutet, Stockholm, Sweden. jonatan.lindh@ki.se
Lennart Holm
Marine L Andersson
Anders Rane
Karolinska Institutet · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo quantify the influence of common cytochrome P450 2C9 (CYP2C9) polymorphisms on warfarin dose requirements.

methodsA systematic review and a meta-analysis, calculating the warfarin dose reduction associated with the five most common variant CYP2C9 genotypes.

resultsThirty-nine studies (7,907 patients) were included in the meta-analysis. Compared to the CYP2C9*1/*1 genotype, the CYP2C9*1/*2, CYP2C9*1/*3, CYP2C9*2/*2, CYP2C9*2/*3, and CYP2C9*3/*3 required warfarin doses that were 19.6 (95% confidence interval 17.4, 21.9), 33.7 (29.4, 38.1), 36.0 (29.9, 42.0), 56.7 (49.1, 64.3), and 78.1% (72.0, 84.3) lower, respectively. The impact of CYP2C9 genotype tended to be larger in patients without interacting drugs.

conclusionsPrevious studies have rarely been powered to determine the quantitative influence of specific CYP2C9 genotypes on warfarin dose requirements. The results from our pooled analysis are likely to be the most accurate to date and the methodology could serve as a model for future pharmacogenetic meta-analyses.

Indexed as

AnticoagulantsAryl Hydrocarbon HydroxylasesCytochrome P-450 CYP2C9Drug Administration ScheduleDrug InteractionsGenotypeHumansLinear ModelsPharmacogeneticsPolymorphism, GeneticWarfarinWhite PeopleAnticoagulantsAryl Hydrocarbon HydroxylasesCYP2C9 protein, humanCytochrome P-450 CYP2C9Warfarin

Identifiers

PMID19031075
OpenAlexW2066252978

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.