Evidence map›Paper›PMID 33563170›Full record

SynthesisCurrent cardiology reviews2021

Prognostic Impact of Red Cell Distribution Width on the Development of Contrast-Induced Nephropathy, Major Adverse Cardiac Events, and Mortality in Coronary Artery Disease Patients Undergoing Percutaneous Coronary Intervention.

Azka Latif, Muhammad Junaid Ahsan, Noman Lateef, Vikas Kapoor, Hafiz Muhammad Fazeel, Faryal Razzaq, Ahmad Iftikhar, Muhammad Zubair Ashfaq, Faiz Anwer, Mohsin Mirza and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Current cardiology reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

11 authors.

Azka LatifDepartment of Internal Medicine, Creighton University Medical Center, Omaha, Nebraska 7500, USA.
Muhammad Junaid AhsanDepartment of Internal Medicine, Creighton University Medical Center, Omaha, Nebraska 7500, USA.
Noman LateefDepartment of Internal Medicine, Creighton University Medical Center, Omaha, Nebraska 7500, USA.
Vikas KapoorDepartment of Internal Medicine, Creighton University Medical Center, Omaha, Nebraska 7500, USA.
Hafiz Muhammad FazeelDepartment of Internal Medicine, Pakistan Institute of Medicine, Islamabad, Pakistan.
Faryal RazzaqDepartment of Internal Medicine, Pakistan Institute of Medicine, Islamabad, Pakistan.
Ahmad IftikharDepartment of Internal Medicine, University of Arizona, Tucson, Arizona, USA.
Muhammad Zubair AshfaqDepartment of Internal Medicine, Creighton University Medical Center, Omaha, Nebraska 7500, USA.
Faiz AnwerDepartment of Hematology and Oncology, Cleveland Clinic, Cleveland, Ohio, USA.
Mohsin MirzaDepartment of Internal Medicine, Creighton University Medical Center, Omaha, Nebraska 7500, USA.
Amjad KabachDepartment of Internal Medicine, Creighton University Medical Center, Omaha, Nebraska 7500, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Red cell distribution width (RDW) serves as an independent predictor towards the prognosis of coronary artery disease (CAD) in patients undergoing percutaneous coronary intervention (PCI). A systematic search of databases such as PubMed, Embase, Web of Science, and Cochrane library was performed on October 10th, 2019, to elaborate the relationship between RDW and in hospital and long term follow up, all-cause and cardiovascular mortality, major adverse cardiac events (MACE) and development of contrast-induced nephropathy (CIN) in patients with CAD undergoing PCI. Twenty-one studies qualified this strict selection criterion (number of patients = 56,425): one study was prospective, and the rest were retrospective cohorts. Our analysis showed that patients undergoing PCI with high RDW had a significantly higher risk of in-hospital all-cause mortality (OR 2.41), long-term all-cause mortality (OR 2.44), cardiac mortality (OR 2.65), MACE (OR: 2.16), and odds of developing CIN (OR: 1.42) when compared to the patients with low RDW. Therefore, incorporating RDW in the predictive models for the development of CIN, MACE, and mortality can help in triage to improve the outcomes in coronary artery disease patients who undergo PCI.

Indexed as

Coronary Artery DiseasePercutaneous Coronary InterventionErythrocyte IndicesHumansPrognosisProspective StudiesRetrospective StudiesRisk Factorscardiovascular mortalitycontrast-induced nephropathycoronary artery diseaselong-term all-cause mortality.major adverse cardiac eventsPercutaneous coronary artery disease

Identifiers

PMID33563170
PMCPMC8950499

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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.