Evidence map›Paper›PMID 23990957›Full record

ArticlePloS one2013

Warfarin anticoagulant therapy: a Southern Italy pharmacogenetics-based dosing model.

Cristina Mazzaccara, Valeria Conti, Rosario Liguori, Vittorio Simeon, Mario Toriello, Angelo Severini, Corrado Perricone, Alfonso Meccariello, Pasquale Meccariello, Dino Franco Vitale and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
7.0field-weighted citation impact, top 4% 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, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. A common polymorphism in the SCN5A gene is associated with dilated cardiomyopathy.Journal of cardiovascular medicine (Hagerstown, Md.) · 2018
    Article
  14. Review
  15. Article
  16. Frequency of Common VKORC1 Polymorphisms and Their Impact on Warfarin Dose Requirement in Pakistani Population.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis · 2018
    Article
  17. Observational
  18. Article
  19. Article
  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

12 authors at 6 institutions in 1 country.

Cristina MazzaccaraCEINGE- Biotecnologie Avanzate s.c.ar.l., Napoli, Italy ; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università di Napoli Federico II, Napoli, Italy.
Valeria Conti
Rosario Liguori
Vittorio Simeon
Mario Toriello
Angelo Severini
Corrado Perricone
Alfonso Meccariello
Pasquale Meccariello
Dino Franco Vitale
Amelia Filippelli
Lucia Sacchetti
University of Naples Federico II · ITCeinge Biotecnologie Avanzate (Italy) · ITUniversity of Salerno · ITCentro di Riferimento Oncologico della Basilicata · ITFondazione Salvatore Maugeri · ITSantobono Children's Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimWarfarin is the most frequently prescribed anticoagulant worldwide. However, warfarin therapy is associated with a high risk of bleeding and thromboembolic events because of a large interindividual dose-response variability. We investigated the effect of genetic and non genetic factors on warfarin dosage in a South Italian population in the attempt to setup an algorithm easily applicable in the clinical practice. MATERIALS AND

methodsA total of 266 patients from Southern Italy affected by cardiovascular diseases were enrolled and their clinical and anamnestic data recorded. All patients were genotyped for CYP2C9 2, 3, CYP4F2 3, VKORC1 -1639 G>A by the TaqMan assay and for variants VKORC1 1173 C>T and VKORC1 3730 G>A by denaturing high performance liquid chromatography and direct sequencing. The effect of genetic and not genetic factors on warfarin dose variability was tested by multiple linear regression analysis, and an algorithm based on our data was established and then validated by the Jackknife procedure.

resultsWarfarin dose variability was influenced, in decreasing order, by VKORC1-1639 G>A (29.7%), CYP2C9 3 (11.8%), age (8.5%), CYP2C9 2 (3.5%), gender (2.0%) and lastly CYP4F2 3 (1.7%); VKORC1 1173 C>T and VKORC1 3730 G>A exerted a slight effect (<1% each). Taken together, these factors accounted for 58.4% of the warfarin dose variability in our population. Data obtained with our algorithm significantly correlated with those predicted by the two online algorithms: Warfarin dosing and Pharmgkb (p<0.001; R(2) = 0.805 and p<0.001; R(2) = 0.773, respectively).

conclusionsOur algorithm, which is based on six polymorphisms, age and gender, is user-friendly and its application in clinical practice could improve the personalized management of patients undergoing warfarin therapy.

Indexed as

Drug Administration ScheduleAgedAlgorithmsAllelesAnticoagulantsAryl Hydrocarbon HydroxylasesCardiovascular DiseasesChromatography, High Pressure LiquidCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Dose-Response Relationship, DrugFemaleGenotypeHumansInternational Normalized RatioAnticoagulantsAryl Hydrocarbon HydroxylasesCYP2C9 protein, humanCYP4F2 protein, humanCytochrome P-450 CYP2C9Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Vitamin K Epoxide ReductasesVKORC1 protein, humanWarfarin

Identifiers

PMID23990957
PMCPMC3753327
OpenAlexW2016654834

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.