Evidence map›Paper›PMID 24797400›Full record

Observational studyDrugs in R&D2014

Correlation between trough plasma dabigatran concentrations and estimates of glomerular filtration rate based on creatinine and cystatin C.

Paul K L Chin, Daniel F B Wright, Mei Zhang, Mary C Wallace, Rebecca L Roberts, David M Patterson, Berit P Jensen, Murray L Barclay, Evan J Begg

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Drugs in R&D, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Association betweenFrontiers in cardiovascular medicine · 2022
    Pooled it
  2. Pooled it
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  4. Review
  5. Article
  6. DOAC drug interactions management resource.Canadian pharmacists journal : CPJ = Revue des pharmaciens du Canada : RPC · 2022
    Article
  7. Article
  8. Article
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  10. Factors Affecting Trough Plasma Dabigatran Concentrations in Patients with Atrial Fibrillation and Chronic Kidney Disease.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2020
    Article
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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

9 authors at 4 institutions in 1 country.

Paul K L ChinDepartment of Clinical Pharmacology, Christchurch Hospital, 2 Riccarton Avenue, Christchurch, 8011, New Zealand, paulc@cdhb.health.nz.
Daniel F B Wright
Mei Zhang
Mary C Wallace
Rebecca L Roberts
David M Patterson
Berit P Jensen
Murray L Barclay
Evan J Begg
University of Otago · NZCanterbury Health Laboratories · NZChristchurch Hospital · NZDunedin Public Hospital · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsDabigatran is largely cleared by renal excretion. Renal function is thus a major determinant of trough dabigatran concentrations, which correlate with the risk of thromboembolic and haemorrhagic outcomes. Current dabigatran dosing guidelines use the Cockcroft-Gault (CG) equation to gauge renal function, instead of contemporary equations including the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations employing creatinine (CKD-EPI_Cr), cystatin C (CKD-EPI_Cys) and both renal biomarkers (CKD-EPI_CrCys).

methodsA linear regression model including the dabigatran etexilate maintenance dose rate, relevant interacting drugs and genetic polymorphisms (including CES1), was used to analyse the relationship between the values from each renal function equation and trough steady-state plasma dabigatran concentrations.

resultsThe median dose-corrected trough steady-state plasma dabigatran concentration in 52 patients (38-94 years) taking dabigatran etexilate was 60 µg/L (range 9-279). The dose-corrected trough concentration in a patient on phenytoin and phenobarbitone was >3 standard deviations below the cohort mean. The CG, CKD-EPI_Cr, CKD-EPI_Cys and CKD-EPI_CrCys equations explained (R (2), 95 % CI) 32 % (9-55), 37 % (12-60), 41 % (16-64) and 47 % (20-69) of the variability in dabigatran concentrations between patients, respectively. One-way analysis of variance (ANOVA) comparing the R (2) values for each equation was not statistically significant (p = 0.74). DISCUSSION: Estimates of renal function using the four equations accounted for 32-47 % of the variability in dabigatran concentrations between patients. We are the first to provide evidence that co-administration of phenytoin/phenobarbitone with dabigatran etexilate is associated with significantly reduced dabigatran exposure.

Indexed as

Glomerular Filtration RateAdultAgedAged, 80 and overATP Binding Cassette Transporter, Subfamily BBenzimidazolesCarboxylic Ester HydrolasesCreatinineCystatin CDabigatranFemaleGenotypeHumansLinear ModelsMaleMiddle AgedABCB1 protein, humanATP Binding Cassette Transporter, Subfamily BBenzimidazolesCarboxylic Ester HydrolasesCES1 protein, humanCreatinineCystatin CDabigatranPhenobarbitalPhenytoinPyridines

Identifiers

PMID24797400
PMCPMC4070467
OpenAlexW2006321544

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.