Evidence map›Paper›PMID 26920372›Full record

ArticleTherapeutic advances in cardiovascular disease2016

Multiple medication (polypharmacy) and chronic kidney disease in patients aged 60 and older: a pharmacoepidemiologic perspective.

Ankit Sutaria, Longjian Liu, Ziauddin Ahmed

Open access · bronzeAbstract read
In one paragraph

Article in Therapeutic advances in cardiovascular disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  8. Awareness and Knowledge Among Internal Medicine House-Staff for Dose Adjustment of Cardiovascular Drugs in Chronic Kidney Disease.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2021
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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

3 authors at 2 institutions in 1 country.

Ankit SutariaDepartment of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, PA, USACurrent affiliation: Child Health Epidemiologist, Maternal and Child Health Section, Georgia Department of Public Health, 2 Peachtree St, NW, 11-455, Atlanta, GA, USA.
Longjian LiuInterim Chair, Department of Envirmental and Occupational Health, Associate Professor, Department of Epidemiology and Biostatistics, Drexel University School of Public Health, Room 515, Nesbitt Hall, 3215 Market Street, Philadelphia, PA 19104, USA longjian.liu@drexel.edu.
Ziauddin AhmedDivision of Nephrology and Hypertension, University School of Medicine, Philadelphia, PA, USA.
Drexel University · USGeorgia Department of Public Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have examined whether there was an independent association between multiple medication use and risk of chronic kidney disease (CKD), with adjustment for cardiometabolic factors. In the study, we aimed to examine this association using a nationally representative sample in CKD patients aged 60 and older.

methodsIn the study, subjects aged ⩾60 years (n = 1306) who participated in the 2011-2012 National Health and Nutrition Examination Survey were analyzed cross-sectionally. CKD was defined using the CKD Epidemiology Collaboration (CKD-EPI) equation i.e. estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m(2). Patients with multiple medications were classified as those having five or more prescription medications per day. All data analysis was performed using SAS 9.3 version.

resultsThe prevalence of CKD among age group ⩾80 years, age group 70-79 years and age group 60-69 years were 73.26%, 55.76% and 27.03% respectively (p < 0.001). About half of hypertension (HTN) and diabetic patients aged ⩾60 years had CKD. The prevalence of CKD in patients with cardiovascular disease (CVD) was 60.57%. The logistic regression model without adjustment reflects that those on multiple medications (⩾5 medications/day) had 1.53 (1.02-2.31) times as likely (53% increase) to have CKD compared with those on <5 medications/day. After adjustment for age, CVD, HTN and diabetes mellitus (DM), the odds of CKD for multiple medications appeared to have a protective effect, although it did not reach statistical significance. The adjusted odds ratio [95% confidence interval (CI)] was 0.89 (95% CI: 0.60-1.34); it showed an 11% decreased odds of CKD in patients who were taking multiple medications. The adjusted odds ratio for patients with CVD was 1.38 (95% CI: 0.97-1.98), HTN 1.13 (95% CI: 0.80-1.6), DM 1.78 (95% CI: 1.26-2.51) in age group 70-79 years 3.2 (95% CI: 2.1-4.87) and in age ⩾80 years 6.98 (95% CI: 4.02-12.11) compared with age group 60-69 years old, respectively.

conclusionWe did not find significant independent association between use of multiple medications and CKD. The switchover of odds for multiple medication suggested a confounding effect of covariates; further prospective studies are required to find the individualized effect of multiple medications on CKD.

Indexed as

PolypharmacyAgedAged, 80 and overAge FactorsCross-Sectional StudiesDiabetes MellitusFemaleHumansHypertensionMaleMiddle AgedRenal Insufficiency, ChronicCKD (chronic kidney disease)DM (diabetes mellitus)HTN (hypertension)multiple Medication (polypharmacy)

Identifiers

PMID26920372
PMCPMC5942629
OpenAlexW2331914812

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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.