Evidence map›Paper›PMID 31632680›Full record

ArticleCanadian journal of kidney health and disease2019

The Association of Atrial Fibrillation and Ischemic Stroke in Patients on Hemodialysis: A Competing Risk Analysis.

Mark Findlay, Rachael MacIsaac, Mary Joan MacLeod, Wendy Metcalfe, Manish M Sood, Jamie P Traynor, Jesse Dawson, Patrick B Mark

Open access · goldAbstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Stroke Subtype Among Individuals With Chronic Kidney Disease.Canadian journal of kidney health and disease · 2023
    Article
  6. Article
  7. Review
  8. Article
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 at 6 institutions in 2 countries.

Mark FindlayInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.ORCID https://orcid.org/0000-0002-1030-0766
Rachael MacIsaacInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.
Mary Joan MacLeodInstitute of Medical Sciences, University of Aberdeen, Foresterhill, UK.
Wendy MetcalfeDepartment of Renal Medicine, Royal Infirmary of Edinburgh, UK.
Manish M SoodOttawa Hospital Research Institute, The Ottawa Hospital, ON, Canada.ORCID https://orcid.org/0000-0002-9146-2344
Jamie P TraynorThe Glasgow Renal & Transplant Unit, Queen Elizabeth University Hospital, UK.
Jesse DawsonInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.
Patrick B MarkInstitute of Cardiovascular and Medical Sciences, University of Glasgow, UK.
Queen Elizabeth University Hospital · GBEdinburgh Royal Infirmary · GBOttawa Hospital · CAScottish Health Services · GBUniversity of Aberdeen · GBUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke is common in patients with end-stage renal disease (ESRD) treated with hemodialysis (HD) and associated with high mortality rate. In the general population, atrial fibrillation (AF) is a major risk factor for stroke and therapeutic anticoagulation is associated with risk reduction, whereas in ESRD the relationship is less clear.

objectiveThe purpose of this study is to demonstrate the influence of AF on stroke rates and probability in those on HD following competing risk analyses.

designA national record linkage cohort study.

settingAll renal and stroke units in Scotland, UK. PATIENTS: All patients with ESRD receiving HD within Scotland from 2005 to 2013 (follow-up to 2015). MEASUREMENTS: Demographic, clinical, and laboratory data were linked between the Scottish Renal Registry, Scottish Stroke Care Audit, and hospital discharge data. Stroke was defined as a fatal or nonfatal event and mortality derived from national records.

methodsAssociations for stroke were determined using competing risk models: the cause-specific hazards model and the Fine and Gray subdistribution hazards model accounting for the competing risk of death in models of all stroke, ischemic stroke, and first-ever stroke.

resultsOf 5502 patients treated with HD with 12 348.6-year follow-up, 363 (6.6%) experienced stroke. The stroke incidence rate was 26.7 per 1000 patient-years. Multivariable regression on the cause-specific hazard for stroke demonstrated age, hazard ratio (HR) (95% confidence interval [CI]) = 1.04 (1.03-1.05); AF, HR (95% CI) = 1.88 (1.25-2.83); prior stroke, HR (95% CI) = 2.29 (1.48-3.54), and diabetes, HR (95% CI) = 1.92 (1.45-2.53); serum phosphate, HR (95% CI) = 2.15 (1.56-2.99); lower body weight, HR (95% CI) = 0.99 (0.98-1.00); lower hemoglobin, HR (95% CI) = 0.88 (0.77-0.99); and systolic blood pressure (BP), HR (95% CI) = 1.01 (1.00-1.02), to be associated with an increased stroke rate. In contrast, the subdistribution HRs obtained following Fine and Gray regression demonstrated that AF, weight, and hemoglobin were not associated with stroke risk. In both models, AF was significantly associated with nonstroke death. LIMITATIONS: Our analyses derive from retrospective data sets and thus can only describe association not causation. Data on anticoagulant use are not available.

conclusionsThe incidence of stroke in HD patients is high. The competing risk of "prestroke" mortality affects the relationship between AF and risk of future stroke. Trial designs for interventions to reduce stroke risk in HD patients, such as anticoagulation for AF, should take account of competing risks affecting associations between risk factors and outcomes.

Indexed as

atrial fibrillationcompeting riskhemodialysismortalitystroke

Identifiers

PMID31632680
PMCPMC6767723
OpenAlexW2970786427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.