Evidence map›Paper›PMID 38391829›Full record

ArticleHealthcare (Basel, Switzerland)2024

Cerebrovascular Disease Hospitalization Rates in End-Stage Kidney Disease Patients with Kidney Transplant and Peripheral Vascular Disease: Analysis Using the National Inpatient Sample (2005-2019).

Tyler John Canova, Rochell Issa, Patrick Baxter, Ian Thomas, Ehab Eltahawy, Obi Ekwenna

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 1 country.

Tyler John CanovaCollege of Medicine and Life Sciences, The University of Toledo, Toledo, OH 43614, USA.ORCID 0000-0001-8546-7918
Rochell IssaDepartment of Internal Medicine, Cleveland Clinic Foundation, Cleveland, OH 44195, USA.ORCID 0000-0003-4948-3210
Patrick BaxterSchar School of Policy and Government, George Mason University, Fairfax, VA 22030, USA.ORCID 0009-0005-5308-3190
Ian ThomasDepartment of Nephrology & Transplant, Mount St. John's Medical Center, St. John's, Antigua and Barbuda.
Ehab EltahawyDepartment of Cardiovascular Medicine, The University of Toledo Medical Center, Toledo, OH 43614, USA.ORCID 0000-0002-9076-8552
Obi EkwennaDepartment of Urology & Transplant, The University of Toledo Medical Center, Toledo, OH 43614, USA.ORCID 0000-0002-8978-8281
University of Toledo Medical Center · USCleveland Clinic · USGeorge Mason University · USUniversity of Toledo · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with end-stage kidney disease (ESKD) face higher cerebrovascular risk. Yet, the impact of peripheral vascular disease (PVD) and kidney transplantation (KTx) on hospitalization rates for cerebral infarction and hemorrhage remains underexplored. Analyzing 2,713,194 ESKD hospitalizations (2005-2019) using the National Inpatient Sample, we investigated hospitalization rates for ischemic and hemorrhagic cerebrovascular diseases concerning ESKD, PVD, KTx, or their combinations. Patients hospitalized with cerebral infarction due to thrombosis/embolism/occlusion (CITO) or artery occlusion resulting in cerebral ischemia (AOSI) had higher rates of comorbid ESKD and PVD (4.17% and 7.29%, respectively) versus non-CITO or AOSI hospitalizations (2.34%,

Indexed as

cerebrovascular hemorrhagecerebrovascular ischemiaend-stage kidney diseasekidney transplantperipheral vascular disease

Identifiers

PMID38391829
PMCPMC10887507
OpenAlexW4391747153

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.