Evidence map›Paper›PMID 41356301›Full record

ArticleReviews in cardiovascular medicine2025

Low Preoperative Mean Arterial Pressure as a Risk Factor for Contrast-Induced Nephropathy After Rotational Atherectomy.

Xiaogang Liu, Lei Wan, Xinying Wu, Ye Gu, Liqun Hu

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2025. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Xiaogang LiuDepartment of Cardiology, Wuhan Fourth Hospital, 430033 Wuhan, Hubei, China.ORCID https://orcid.org/0009-0007-5968-5955
Lei WanDepartment of Cardiology, Wuhan Fourth Hospital, 430033 Wuhan, Hubei, China.ORCID https://orcid.org/0000-0001-9770-5602
Xinying WuDepartment of Cardiology, Wuhan Fourth Hospital, 430033 Wuhan, Hubei, China.ORCID https://orcid.org/0009-0000-7279-125X
Ye GuDepartment of Cardiology, Wuhan Fourth Hospital, 430033 Wuhan, Hubei, China.ORCID https://orcid.org/0000-0003-2132-0102
Liqun HuDepartment of Cardiology, Wuhan Fourth Hospital, 430033 Wuhan, Hubei, China.ORCID https://orcid.org/0000-0002-7006-1488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to identify risk factors for contrast-induced nephropathy (CIN) following rotational atherectomy (RA) in patients with severely calcified coronary lesions to facilitate the prevention of CIN. Methods: A retrospective analysis was performed on 111 patients who underwent RA in Wuhan Fourth Hospital from July 2021 to June 2023. The creatinine levels of the patients were detected within 48-72 hours after RA, and the patients were divided into a CIN (n = 16) and a non-CIN group (n = 95). Propensity score matching was applied with a caliper value set at 0.02, resulting in 13 matched patient pairs. The risk factors for CIN after RA in these patients were analyzed. Results: A total of 16 cases of CIN occurred among the 111 patients with coronary heart disease who underwent RA. Following propensity score matching, 13 patients were included in both the CIN and non-CIN groups. The rates of heart failure were significantly higher in the CIN group than those in the non-CIN group before RA (all Conclusion: Patients with a preoperative MAP below 80 mmHg are at increased risk of CIN following RA. This cohort requires intensive monitoring to prevent CIN, ensuring prompt implementation of management strategies to avert CIN onset and mitigate the adverse effects of CIN post-RA treatment.

Indexed as

contrast-induced nephropathyMACCEmean arterial pressurerotational atherectomy

Identifiers

PMID41356301
PMCPMC12680979

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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.