Evidence map›Paper›PMID 27051671›Full record

ArticleBioMed research international2016

Plasma Neutrophil Gelatinase-Associated Lipocalin as a Predictor of Cardiovascular Events in Patients with Chronic Kidney Disease.

Midori Hasegawa, Junichi Ishii, Fumihiko Kitagawa, Hiroshi Takahashi, Kazuhiro Sugiyama, Masashi Tada, Kyoko Kanayama, Kazuo Takahashi, Hiroki Hayashi, Shigehisa Koide and 3 more

Abstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

13 authors.

Midori HasegawaDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.ORCID 0000-0001-8820-9682
Junichi IshiiLaboratory of Clinical Medicine, Department of Joint Research, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Fumihiko KitagawaLaboratory of Clinical Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Hiroshi TakahashiDivision of Medical Statistics, Fujita Health University Hospital, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Kazuhiro SugiyamaDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Masashi TadaDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Kyoko KanayamaDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Kazuo TakahashiDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Hiroki HayashiDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Shigehisa KoideDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Shigeru NakaiDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Yukio OzakiDepartment of Cardiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.
Yukio YuzawaDepartment of Nephrology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukakecho, Toyoakeshi, Aichi 470-1192, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOur aim was to assess plasma neutrophil gelatinase-associated lipocalin (NGAL) as a predictor of cardiovascular (CV) events in patients with chronic kidney disease (CKD) and no history of CV events.

methodsThis was a prospective observational cohort study of 252 patients with predialysis CKD. CV events were defined as CV death, acute coronary syndrome, and hospitalization for worsening heart failure, stroke, and aortic dissection.

resultsDuring a median follow-up period of 63 months, 36 CV events occurred. On Cox stepwise multivariate analysis, plasma NGAL and B-type natriuretic peptide (BNP) were significant predictors of CV events. Kaplan-Meier incidence rates of CV event-free survival at 5 years were 96.6%, 92.9%, 85.9%, and 61.3%, respectively, among quartiles of plasma NGAL (P < 0.0001). The C-index for the receiver-operating characteristic curves for CV events was greater when plasma NGAL was added to an established risk model (0.801, 95% CI 0.717-0.885), compared to the model without plasma NGAL (0.746, 95% CI 0.653-0.840, P = 0.021).

conclusionElevated plasma NGAL could predict future CV events in CKD patients with no history of CV events and add incremental value to the established risk model.

Indexed as

AgedBiomarkersCardiovascular DiseasesFemaleHumansKaplan-Meier EstimateLipocalin-2MaleMiddle AgedRenal Insufficiency, ChronicROC CurveBiomarkersLipocalin-2

Identifiers

PMID27051671
PMCPMC4808666

What OpenQuestion holds

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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.