Evidence map›Paper›PMID 32506922›Full record

Trial reportThe Annals of pharmacotherapy2020

Exploratory Analysis of the Impact of an mHealth Medication Adherence Intervention on Tacrolimus Trough Concentration Variability: Post Hoc Results of a Randomized Controlled Trial.

John W McGillicuddy, Jessica L Chandler, Luke R Sox, David J Taber

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The Annals of pharmacotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 8 pooled it
6.1field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 8 syntheses or guidelines pooled it, 54 citations in OpenAlex.

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  10. Impact of a pharmacist-led, mHealth-based intervention on tacrolimus trough variability in kidney transplant recipients: A report from the TRANSAFE Rx randomized controlled trial.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2021
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  12. CNI Trough Variability Does Not Reliably Reflect Medication Adherence: Insights From a 3-Year Follow-Up Study.Transplant international : official journal of the European Society for Organ Transplantation · 2026
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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

4 authors at 1 institution in 1 country.

John W McGillicuddyMedical University of South Carolina, Charleston, SC, USA.
Jessica L ChandlerMedical University of South Carolina, Charleston, SC, USA.ORCID 0000-0001-8075-212X
Luke R SoxMedical University of South Carolina, Charleston, SC, USA.
David J TaberMedical University of South Carolina, Charleston, SC, USA.
Medical University of South Carolina · US

Funding

Proteomics CoreP30DK123704 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Garth R Swanson · 2020 to 2026
$8.8M
Mobile Technology Medication Adherence Program for Kidney Transplant PatientsR01DK103839 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCGILLICUDDY, JOHN W. · 2015 to 2018
$1.1M
NIDDK NIH HHS P30 DK123704NIDDK NIH HHS R01 DK103839
6 · The paper itself

Abstract

backgroundMedication nonadherence is a leading cause of late allograft loss in kidney transplantation (KT). Tacrolimus trough coefficient of variation (CV), measured using the coefficient of variation, is strongly correlated with acute rejection, graft function, and graft loss.

objectiveThe objective of this study was to determine if this mobile health (mHealth) intervention aimed at improving medication adherence in a nonadherent KT population would affect high intrapatient tacrolimus variability.

methodsA 6-month, prospective, parallel-arm, randomized controlled clinical trial was conducted to determine the effects of an mHealth intervention on tacrolimus CV. Intervention arm participants utilized an electronic medication tray and an mHealth app to monitor home-based adherence. Tailored motivational reinforcement messages were delivered to promote competence for adherence. Tacrolimus CV was measured using a 12-month rolling average, assessed at monthly intervals (6-month intervention period and 6 months after completion of the study); 80 were included, 40 in each arm.

resultsAt baseline, tacrolimus CV was similar between arms (37% ± 15% intervention, 37% ± 13% control, CONCLUSION AND RELEVANCE: High tacrolimus CV is a risk factor for acute rejection and graft loss; these results offer the potential promise of improved medication adherence and clinical outcomes through the use of innovative technology.

Indexed as

Drug MonitoringKidney TransplantationAdultElectronic Health RecordsFemaleGraft RejectionHumansImmunosuppressive AgentsMaleMiddle AgedProspective StudiesReminder SystemsRisk FactorsTacrolimusTelemedicineImmunosuppressive AgentsTacrolimuscoefficient of variationend-stage renal diseaseestimated glomerular filtration ratekidney transplantationmobile healthrandomized controlled trialSmartphone Medication Adherence Saves Kidneysstandard of caretime weighted coefficient of variation

Identifiers

PMID32506922
PMCPMC7814696
OpenAlexW3033830449

What Socratic 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 Socratic graph.