Evidence mapPaperPMID 36742248Full record

ReviewIranian journal of public health2022

Predictive Value of Hyperuricemia in Cardiac Patients with Post-Contrast Acute Kidney Injury (PC-AKI) and Different Basic Renal Functions: A Meta-Analysis.

Angshu Cai, Tian Zhou

Open access · goldAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2022. 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 49% 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, 1 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

2 authors at 1 institution in 1 country.

Angshu CaiQueen Mary School, Nanchang University, Nanchang 330031, China.
Tian ZhouSchool of Basic Medical Sciences, Nanchang University, Nanchang, 330031, China.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Uric acid level has shown a certain relationship with the incidence of post-contrast acute kidney injury (PC-AKI), whereas it remains controversial whether hyperuricemia can function as a predictor of PCAKI in patients with different basic creatinine serum level. The present meta-analysis aimed to investigate whether hyperuricemia is an independent risk factor for PC-AKI and to explore the relationship between hyperuricemia and basic renal function. Methods: Relevant studies were retrieved via searching in PubMed, Embase, Cochrane Library, and WAN FANG electronic databases from inception to Jan 2022. Only studies published in English and Chinese languages were selected. Results: Overall, 11892 patients from 15 studies were included. The results of the pooled analysis revealed that the incidence of PC-AKI was significantly higher in the hyperuricemia group than that in the normouricemic group (20.62% vs. 13.05%). Hyperuricemia was associated with an increased risk of the incidence of PC-AKI (odds ratio (OR): 2.48 [95% confidence interval (CI): 1.77-3.46%]). The pooled ORs for mortality and incidence of undergoing renal replacement therapy were 2.33 (95% CI:1.81-3.00) and 8.69 (95% CI:3.22-23.44%), respectively. Comparatively, the pre-existing renal dysfunction subgroup had a lower relative risk in the hyperuricemia population. Conclusion: Hyperuricemia was found to be significantly associated with the incidence of PC-AKI. The effect of serum uric acid level on the incidence of PC-AKI was higher in patients with normal renal function, which could lay a foundation for the establishment of individualized schemes to prevent PC-AKI by urate-lowering therapy.

Indexed as

Creatinine serumHyperuricemiaPost-contrast acute kidney injury

Identifiers

PMID36742248
PMCPMC9874193
OpenAlexW4313416430

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.