Evidence map›Paper›PMID 35853998›Full record

Trial reportScientific reports2022

A simple proteinuria-based risk score predicts contrast-associated acute kidney injury after percutaneous coronary intervention.

Wakaya Fujiwara, Hideki Ishii, Yoshihiro Sobue, Shinya Shimizu, Tomoya Ishiguro, Ryo Yamada, Sayano Ueda, Hideto Nishimura, Yudai Niwa, Akane Miyazaki and 7 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Scientific reports, 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
0.3field-weighted citation impact, top 45% 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

17 authors at 5 institutions in 1 country.

Wakaya FujiwaraDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan. wakayafj@fujita-hu.ac.jp.
Hideki IshiiDepartment of Cardiovascular Medicine, Graduate School of Medicine, Gunma University, Maebashi, Japan.
Yoshihiro SobueDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Shinya ShimizuDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Tomoya IshiguroDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Ryo YamadaDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Sayano UedaDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Hideto NishimuraDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Yudai NiwaDepartment of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan.
Akane MiyazakiDepartment of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan.
Wataru MiyagiDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Shuhei TakaharaDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Hiroyuki NaruseDepartment of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan.
Junichi IshiiDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Ken KiyonoDivision of Bioengineering, Graduate School of Engineering Science, Osaka University, Suita, Japan.
Eiichi WatanabeDivision of Cardiology, Department of Internal Medicine, Fujita Health University Bantane Hospital, 3-6-10 Otobashi, Nakagawa, Nagoya, 454-8509, Japan.
Hideo IzawaDepartment of Cardiology, Fujita Health University School of Medicine, Toyoake, Japan.
Fujita Health University Bantane HospitalFujita Health University · JPFujita Health University Hospital · JPGunma University · JPOsaka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contrast-associated acute kidney injury (CA-AKI) is a complication of percutaneous coronary intervention (PCI). Because proteinuria is a sentinel marker of renal dysfunction, we assessed its role in predicting CA-AKI in patients undergoing PCI. A total of 1,254 patients undergoing PCI were randomly assigned to a derivation (n = 840) and validation (n = 414) dataset. We identified the independent predictors of CA-AKI where CA-AKI was defined by the new criteria issued in 2020, by a multivariate logistic regression in the derivation dataset. We created a risk score from the remaining predictors. The discrimination and calibration of the risk score in the validation dataset were assessed by the area under the receiver-operating characteristic curves (AUC) and Hosmer-Lemeshow test, respectively. A total of 64 (5.1%) patients developed CA-AKI. The 3 variables of the risk score were emergency procedures, serum creatinine, and proteinuria, which were assigned 1 point each based on the correlation coefficient. The risk score demonstrated a good discriminative power (AUC 0.789, 95% CI 0.766-0.912) and significant calibration. It was strongly associated with the onset of CA-AKI (Cochran-Armitage test, p < 0.0001). Our risk score that included proteinuria was simple to obtain and calculate, and may be useful in assessing the CA-AKI risk before PCI.

Indexed as

Acute Kidney InjuryPercutaneous Coronary InterventionContrast MediaCreatinineHumansProteinuriaRisk AssessmentRisk FactorsContrast MediaCreatinine

Identifiers

PMID35853998
PMCPMC9296582
OpenAlexW4285794238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.