Evidence map›Paper›PMID 33414964›Full record

ArticleInternational journal of vascular medicine2020

Long-Term Follow-Up of Contrast-Induced Acute Kidney Injury: A Study from a Developing Country.

Ashraf O Oweis, Sameeha A Alshelleh, Nesreen Saadeh, Mohamad I Jarrah, Rasheed Ibdah, Karem H Alzoubi

Open access · goldAbstract read
In one paragraph

Article in International journal of vascular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Ashraf O OweisDivision of Nephrology, Department of Medicine, Jordan University of Science and Technology, Irbid, Jordan.ORCID https://orcid.org/0000-0002-7581-2025
Sameeha A AlshellehDivision of Nephrology, Department of Medicine, The University of Jordan, Amman, Jordan.
Nesreen SaadehDepartment of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mohamad I JarrahDivision of Cardiology, Department of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Rasheed IbdahDivision of Cardiology, Department of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Karem H AlzoubiDepartment of Clinical Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.ORCID https://orcid.org/0000-0002-2808-5099
Jordan University of Science and Technology · JOUniversity of Jordan · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionContrast-induced acute kidney injury (CI-AKI) is a worldwide known complication related to the use of contrast media with either imaging or angiography; it carries its own complications and effect on both morbidity and mortality; early identification of patients at risk and addressing modifiable risk factors may help reducing risk for this disease and its complications.

methodsThis was a prospective observational study, where all patients admitted for cardiac catheterization between June 2015 and January 2016 were evaluated for CI-AKI. There were two study groups: contrast-induced acute kidney injury (CI-AKI) group, and noncontrast-induced acute kidney injury (non-CI-AKI) group.

resultsPatients (

conclusionCI-AKI is a common complication post percutaneous catheterization (PCI), which may increase the risk for CKD, but not death or the need for recatheterization. Preventive measures must be taken early to decrease the morbidity.

Identifiers

PMID33414964
PMCPMC7769673
OpenAlexW3115927633

What OpenQuestion holds

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LicenceCC BY
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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.