Evidence map›Paper›PMID 30087772›Full record

ArticleClinical kidney journal2018

Medication discrepancies in late-stage chronic kidney disease.

Jamil Ibrahim, Azzour D Hazzan, Anna T Mathew, Vipul Sakhiya, Meng Zhang, Candice Halinski, Steven Fishbane

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Jamil IbrahimDivision of Nephrology, Department of Medicine, Hofstra Northwell School of Medicine, Great Neck, NY, USA.
Azzour D HazzanDivision of Nephrology, Department of Medicine, Hofstra Northwell School of Medicine, Great Neck, NY, USA.
Anna T MathewDivision of Nephrology, Department of Medicine, Hofstra Northwell School of Medicine, Great Neck, NY, USA.
Vipul SakhiyaDivision of Nephrology, Department of Medicine, Hofstra Northwell School of Medicine, Great Neck, NY, USA.
Meng ZhangDivision of Nephrology, Department of Medicine, Hofstra Northwell School of Medicine, Great Neck, NY, USA.
Candice HalinskiDivision of Nephrology, Department of Medicine, Hofstra Northwell School of Medicine, Great Neck, NY, USA.
Steven FishbaneDivision of Nephrology, Department of Medicine, Hofstra Northwell School of Medicine, Great Neck, NY, USA.
Hofstra University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLate-stage chronic kidney disease (LS-CKD) can be defined by glomerular filtration rate (GFR) 0-30 mL/min. It is a period of risk for medication discrepancies because of frequent hospitalizations, fragmented medical care, inadequate communication and polypharmacy. In this study, we sought to characterize medication discrepancies in LS-CKD.

methodsWe analyzed all patients enrolled in Northwell Health's Healthy Transitions in LS-CKD program. All patients had estimated GFR 0-30 mL/min, not on dialysis. Medications were reviewed by a nurse at a home visit. Patients' medication usage and practice were compared with nephrologists' medication lists, and discrepancies were characterized. Patients were categorized as having either no discrepancies or one or more. Associations between patient characteristics and number of medication discrepancies were evaluated by chi-square or Fisher's exact test for categorical variables, and two-sample

resultsSeven hundred and thirteen patients with a median age of 70 (interquartile range 58-79) years were studied. There were 392 patients (55.0% of the study population) with at least one medication discrepancy. The therapeutic classes of medications with most frequently occurring medication discrepancies were cardiovascular, vitamins, bone and mineral disease agents, diuretics, analgesics and diabetes medications. In multivariable analysis, factors associated with higher risk of discrepancies were congestive heart failure [odds ratio (OR) 2.13; 95% confidence interval (CI) 1.44-3.16; P = 0.0002] and number of medications (OR 1.29; 95% CI 1.21-1.37; P < 0.0001).

conclusionsMedication discrepancies are common in LS-CKD, affect the majority of patients and include high-risk medication classes. Congestive heart failure and total number of medications are independently associated with greater risk for multiple drug discrepancies. The frequency of medication discrepancies indicates a need for great care in medication management of these patients.

Indexed as

chronic renal failurechronic renal insufficiencyCKDdiureticsmedications

Identifiers

PMID30087772
PMCPMC6070123
OpenAlexW2768763173

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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.