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Table 1 Characteristics of included studies

From: Evaluating biomarkers for contrast-induced nephropathy following coronary interventions: an umbrella review on meta-analyses

First author name, year of publication

Journal

Searched databases

Date of search

Number of included studies

Total sample size

Reported biomarkers

Checklist used for quality assessment of included original studies

Funding status

Previous registered protocol

Software of analysis

Model of analysis

Amstar 2 score

Zuo [13]

International Journal of Cardiology

PubMed, Embase, Cochrane Library, and CBM (Chinese Biomedical Literature database)

April 18, 2016

18

13,084

UA

NOS

No

No

STATA

Random-effects model

Low quality

Javid [8]

Annals of medicine and surgery

PubMed, Scopus, and Web of Science

November 2022

4

1346

GGT

JBI

No

No

CMA

Random-effects model

Low quality

Wu [9]

Angiology

PubMed, EMBASE, Google Scholar, Clinical Trials, and Science Direct

June 3, 2020

26

29,454

CRP, hsCRP, NLR, PLR, HCT, RDW

NOS

No

No

Revman

Random effect model for heterogenic and fix effect model for non-heterogenic studies

Low quality

Wu [14]

Medicine

PubMed, Embase, Cochrane Central Register of Controlled Trials Library, and Web of Science

March 9, 2022

12

7789

BNP

QUADAS-2

No

PROSPERO (CRD42022318275)

STATA, Review Manager, and MetaDisc

Random effects model

High quality

Zhang [15]

Angiology

PubMed, EMBASE, Google Scholar, Clinical Trials, and ScienceDirect

July 13, 2018

18

16,171

Alb, Uric acid, BUN

NOS

No

No

Revman

Random effect model for heterogenic and fix effect model for non-heterogenic studies

Critically Low-quality

Wang [16]

Canadian Journal of Cardiology

PubMed, MEDLINE, EMBASE, Web of Science, ClinicalTrials.gov, Cochrane Library, and Google Scholar

November 2014

14

1520

NGAL

QUADAS

Yes

No

STATA

Random effect model for heterogenic and fix effect model for non-heterogenic studies

Critically Low quality

Li [17]

Journal of Interventional Cardiology

Medline, Embase, ClinicalTrials.gov, Cochrane Library database, and the China National Knowledge Infrastructure (CNKI)

November 31, 2019

9

946

uKIM-1

QUADAS-2

Yes

No

STATA

Bivariate mixed-effects regression

Critically Low-quality

Nie [18]

Angiology

PubMed, Embase, and the Cochrane library

November, 2020

6

16,899

Contrast media volume to creatinine clearance ratio

NOS

No

No

STATA

Random effect model

High Quality

Li [22]

Journal of Interventional Cardiology

PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials Library

April 2020

9

2832

BNP

QUADAS-2

Yes

No

STATA

Bivariate random-effects regression

Critically Low quality

Kewcharoen [20]

Cardiovascular Revascularization Medicine

MEDLINE and EMBASE

January 2020

8

10,991

Preprocedural blood glucose

NOS and Cochrane Collaboration tool

No

No

STATA

Random effects model

Critically Low quality

Chen [19]

Toxicology Letters

PubMed, MEDLINE, and Embase

March 2018

10

2554

Cystatin C

QUADAS-2

Yes

No

STATA

Bivariate meta-analysis

Critically Low quality

Jiang [21]

Medicine

PUBMED, EMBASE, and Web of Science

September 15, 2018

6

10,452

PLR

NOS

No

No

STATA and Revman

Random effect model for heterogenic and fix effect model for non-heterogenic studies

Low quality

  1. Abbreviations: NOS: Newcastle Ottawa scale, JBI: Joanna Briggs Institute, QUADS: Quality Assessment of Diagnostic Accuracy Studies, UA: Uric Acid, GGT: Gamma-glutamyl transpeptidase, CRP: C-Reactive Protein, hsCRP: Highly Sensitive C-Reactive Protein, NLR: Neutrophil-to-lymphocyte ratio, RDW: red cell distribution width, PLR: Platelet-to-Lymphocyte Ratio, HCT: Hematocrit, Alb: Albumin, BUN: Blood urea nitrogen, NGAL: Neutrophil gelatinase-associated lipocalin, uKIM-1: Urinary kidney injury molecule-1, BNP: Brain natriuretic peptide