Evidence map›Paper›PMID 24389906›Full record

Observational studyTransplantation2014

Best single time point correlations with AUC for cyclosporine and tacrolimus in HIV-infected kidney and liver transplant recipients.

Lynda A Frassetto, Clara C Tan-Tam, Burc Barin, Matt Browne, Alan R Wolfe, Peter G Stock, Michelle Roland, Leslie Z Benet

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Transplantation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Observational
  2. Article
  3. Observational
  4. Article
  5. The feasibility of lung transplantation in HIV-seropositive patients.Annals of the American Thoracic Society · 2014
    Article
  6. HIV and liver transplantation: The British Columbia experience, 2004 to 2013.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2014
    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

8 authors at 1 institution in 1 country.

Lynda A Frassetto1 Department of Medicine and Clinical Research Center, University of California, San Francisco, CA. 2 Department of Surgery, University of California, San Francisco, CA. 3 EMMES, Bethesda, MD. 4 Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA. 5 Address correspondence to: Leslie Z. Benet, Ph.D., UCSF Box 0912, San Francisco, CA 94143-0912.
Clara C Tan-Tam
Burc Barin
Matt Browne
Alan R Wolfe
Peter G Stock
Michelle Roland
Leslie Z Benet
University of California, San Francisco · US

Funding

UCSF Liver Core CenterP30DK026743 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Holger Willenbring · 1986 to 2026
$30.7M
Solid Organ Transplantation in HIV: Multi-Site StudyU01AI052748 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STOCK, PETER G · 2003 to 2010
$25.9M
ADA3: a novel target for HPV16 E6 oncoproteinR01CA094143 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI BAND, VIMLA · 2002 to 2006
$1.7M
NCI NIH HHS R01 CA094143NIAID NIH HHS U01 AI052748NIAID NIH HHS U01 AI052748-01NIDDK NIH HHS P30 DK026743PHS HHS M01 00079
6 · The paper itself

Abstract

backgroundInteractions between antiretrovirals (ARVs) and transplant immunosuppressant agents (IS) among HIV-infected transplant recipients may lead to lack of efficacy or toxicity. In transplant recipients not infected with HIV, tacrolimus (TAC) trough levels (C0) or cyclosporine (CsA) drawn at C0 or 2 hours after dosing (C2) correlate with drug exposure (area under the curve [AUC]/dose) and outcomes. Because of ARV-IS interactions in HIV-infected individuals, and the high rate of rejection in these subjects, this study investigated the correlations between IS concentrations and exposure to determine the best method to monitor immunosuppressant levels.

methodsThis study prospectively studied 50 HIV-infected transplant recipients undergoing kidney or liver transplantation evaluating the pharmacokinetics of the IS in 150 studies over time after transplantation (weeks 2 to 4, 12, 28, 52, and 104). IS levels were measured with liquid chromatography-tandem mass spectrometry and AUC calculated using WinNonlin 9.0. Correlation analyses were run on SAS 9.2.

resultsCsA concentration at C4 correlated better with AUC than C0 or C2, and over time TAC concentration correlated better at C0 or C2.

conclusionsIt is suggested that C0 is acceptable for TAC monitoring, but poor predictability will occur at C0 with CsA. The low correlation of C0 with CsA AUC could be responsible for the higher rejection rates on CsA that has been reported in these subjects.

Indexed as

Drug MonitoringKidney TransplantationLiver TransplantationAdolescentAdultAgedAnti-HIV AgentsArea Under CurveChromatography, LiquidCyclosporineDrug InteractionsFemaleGraft RejectionHIV InfectionsHumansImmunosuppressive AgentsAnti-HIV AgentsCyclosporineImmunosuppressive AgentsTacrolimus

Identifiers

PMID24389906
PMCPMC4018220
OpenAlexW1966455851

What OpenQuestion holds

Textmetadata
LicenceTDM
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.