Evidence map›Paper›PMID 33426392›Full record

ArticleKidney international reports2021

Evaluation of Changes Over Time in the Drug Burden and Medication Regimen Complexity in ESRD Patients Before and After Renal Transplantation.

Justine Marienne, Solène M Laville, Pauline Caillard, Benjamin Batteux, Valérie Gras-Champel, Kamel Masmoudi, Gabriel Choukroun, Sophie Liabeuf

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  15. Pill-burden and its association with treatment burden among patients with advanced stages of chronic kidney disease.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Justine MarienneDepartment of Clinical Pharmacology, Amiens University Hospital, Amiens, France.
Solène M LavilleCentre for Research in Epidemiology and Population Health (CESP), INSERM UMRS 1018, Villejuif, France.
Pauline CaillardMP3CV Laboratory, EA7517, University of Picardie Jules Verne, Amiens, Amiens, France.
Benjamin BatteuxDepartment of Clinical Pharmacology, Amiens University Hospital, Amiens, France.
Valérie Gras-ChampelDepartment of Clinical Pharmacology, Amiens University Hospital, Amiens, France.
Kamel MasmoudiDepartment of Clinical Pharmacology, Amiens University Hospital, Amiens, France.
Gabriel ChoukrounMP3CV Laboratory, EA7517, University of Picardie Jules Verne, Amiens, Amiens, France.
Sophie LiabeufDepartment of Clinical Pharmacology, Amiens University Hospital, Amiens, France.
Centre Hospitalier Universitaire Amiens-Picardie · FRUniversité de Picardie Jules Verne · FRCentre de recherche en Epidémiologie et Santé des Populations · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication regimen complexity (MRC) has not been characterized in detail in patients with end-stage renal disease (ESRD). The objective of the present study was to quantify changes over time in the prescription drug burden and MRC in patients with ESRD (before transplantation, on discharge after kidney transplantation [M0], and 4 months [M4] and 12 months [M12] afterward).

methodsWe retrospectively studied adult patients having undergone kidney transplantation. The number and types of drug prescribed, the pill burden, and the MRC index (MRCI) at 4 different time points (before transplantation, M0, M4, and M12) were extracted from the patients' medical records. MRCI was calculated by adding each drug score (calculated according to its formulation, dosing frequency, and additional instructions concerning administration). Hence, the MRCI took account of all prescription drugs. A logistic regression model was used to identify factors associated with an elevated MRCI at M12.

resultsThe median (interquartile range) age of the 354 study participants was 52 years (42-62). Respectively 21%, 42%, 53%, and 38% of the patients were taking 10 or more drugs before transplantation and at M0, M4, and M12. At M12, the 3 most frequently prescribed drug classes were immunosuppressants, cardiovascular system drugs, and drugs acting on the alimentary tract and metabolism. The pill burden and MRCI before transplantation were significantly lower (

conclusionIn kidney transplant recipients, the drug burden and MRCI were greater at all time points after transplantation than before transplantation. The impact of the drug burden and MRC on medication adherence and clinical outcomes in these patients requires further evaluation.

Indexed as

complexitydrugsend-stage renal diseasekidney transplantationpolypharmacy

Identifiers

PMID33426392
PMCPMC7785410
OpenAlexW3093228526

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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.