Evidence map›Paper›PMID 34082426›Full record

ArticleNephron2021

Incidence of Uncommon Clinical Events in USA Patients with Dialysis-Dependent and Nondialysis-Dependent Chronic Kidney Disease: Analysis of Electronic Health Records from TriNetX.

Alyshah Abdul Sultan, Glen James, Xia Wang, Seth Kuranz, Katarina Hedman, Mark Houser, Syed Asif Haque, Dustin Little

Abstract read
In one paragraph

Article in Nephron, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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

8 authors.

Alyshah Abdul SultanAstraZeneca, Cambridge, United Kingdom.
Glen JamesAstraZeneca, Cambridge, United Kingdom.
Xia WangAstraZeneca, Gaithersburg, Maryland, USA.
Seth KuranzTriNetX Inc., Cambridge, Massachusetts, USA.
Katarina HedmanAstraZeneca, Gothenburg, Sweden.
Mark HouserAstraZeneca, Gaithersburg, Maryland, USA.
Syed Asif HaqueAstraZeneca, Gaithersburg, Maryland, USA.
Dustin LittleAstraZeneca, Gaithersburg, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFurther understanding of adverse clinical events in patients with chronic kidney disease (CKD) is needed. This study aimed to describe characteristics of patients with nondialysis-dependent (NDD) and dialysis-dependent (DD) CKD and to assess incidence rates of uncommon adverse clinical events of interest in these patients.

methodsThis retrospective study used electronic medical record data from USA CKD patients (≥18 years) with estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 between January 1, 2010, and December 31, 2018, obtained from the USA-based TriNetX database. NDD-CKD and DD-CKD were diagnosed and staged from ≥2 consecutive eGFR readings, recorded ≥90 days apart. Dialysis was identified using procedure codes for renal replacement therapy. Outcomes assessed were select uncommon adverse clinical events, defined by International Classification of Disease, 9th and 10th Revision codes.

resultsIncidence rates of adverse clinical events per 100 person-years (95% confidence interval) were generally higher in patients with DD-CKD versus NDD-CKD. Differences were particularly pronounced for hyperkalemia (26.9 [26.2-27.6] vs. 4.5 [4.5-4.6]), acidosis (15.1 [14.7-15.6] vs. 3.4 [3.4-3.4]), and sepsis (14.6 [14.2-15.1] vs. 3.3 [3.3-3.4]). Among DD-CKD patients, incidence rates of adverse events were particularly high during the first 3 months following dialysis initiation. Incidence of adverse clinical events generally increased with decreasing eGFR among patients with NDD-CKD and with hemoglobin <10 g/dL in both NDD- and DD-CKD patients.

conclusionsOur results help establish baseline rates of uncommon adverse clinical events and provide additional evidence of increased morbidity for patients with DD-CKD versus NDD-CKD.

Indexed as

Electronic Health RecordsAdultAgedFemaleGlomerular Filtration RateHemoglobinsHumansHyperkalemiaIncidenceMaleMiddle AgedRenal DialysisRenal Insufficiency, ChronicRetrospective StudiesHemoglobinsChronic kidney diseaseClinical outcomesDialysis-dependentNondialysis-dependentObservational cohort study

Identifiers

PMID34082426
PMCPMC8491471

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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.