Evidence map›Paper›PMID 32874811›Full record

ReviewCureus2020

Current Trends Featuring the Bridge Between Stroke and End-Stage Renal Disease: A Review.

Radhika Akku, Thulasi Priya Jayaprakash, Olisaemeka D Ogbue, Parul Malhotra, Safeera Khan

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  4. The predictive valueFrontiers in medicine · 2025
    Article
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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

5 authors at 2 institutions in 2 countries.

Radhika AkkuInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Thulasi Priya JayaprakashInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Olisaemeka D OgbueInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Parul MalhotraMedicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Safeera KhanInternal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA.
Public Works Department Buildings and Roads · INCalifornia Institute of Behavioral Neurosciences and Psychology (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between end-stage renal disease (ESRD) and cerebral stroke is graded and cumulative, having a significant impact on morbidity and mortality. Ischemic stroke is more prevalent than hemorrhagic stroke and both stroke types have modifiable and non-modifiable risk factors. The presence of risk factors such as hypertension, diabetes, and atrial fibrillation (AF) before stroke occurrence in dialysis patients has a significant impact on the outcomes such as a discharge to rehabilitation, in-hospital mortality with the worst prognosis when compared to the general population. ESRD patients with either peritoneal or hemodialysis (HD) are at increased risk of stroke than the general population, with a high mortality rate at the commencement of dialysis and gradually decreases. Primary and secondary prevention of risk factors plays a significant role in this susceptible population and helps to mitigate better treatment and outcomes. Our review article focuses on the mechanisms, outcomes, treatment, and preventive aspects of stroke in the ESRD population.

Indexed as

end-stage renal disease (esrd)stroke complications

Identifiers

PMID32874811
PMCPMC7455460
OpenAlexW3046322284

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.