Evidence map›Paper›PMID 39674635›Full record

ArticleJournal, genetic engineering & biotechnology2024

Adropin a candidate diagnostic biomarker for cardiovascular disease in patients with chronic kidney disease.

Maha Abd El Moneem Elfedawy, Samia Abd El Sadek Elsebai, Hend Mohamed Tawfik, Eman Refaat Youness, Moushira Zaki

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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

5 authors.

Maha Abd El Moneem ElfedawyDepartment of Internal Medicine, Faculty of Medicine, Al-Azher University (for girls), Egypt. Electronic address: drmahaelwake@gmail.com.
Samia Abd El Sadek ElsebaiDepartment of Internal Medicine, Faculty of Medicine, Al-Azher University (for girls), Egypt. Electronic address: drsamiasadek54@gmail.com.
Hend Mohamed TawfikDepartment of Internal Medicine, Faculty of Medicine, Al-Azher University (for girls), Egypt. Electronic address: hend.tawfeek@yahoo.com.
Eman Refaat YounessMedical Biochemistry Department, Medical Research and Clinical Studies Institute - National Research Centre Cairo, Egypt. Electronic address: hoctober2000@yahoo.com.
Moushira ZakiBiological Anthropology Department, Medical Research and Clinical Studies Institute-National Research Centre Cairo, Egypt. Electronic address: moushiraz@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) is a chief worldwide health concern that has a substantial financial impact on health systems, high rates of mortality and morbidity as well as cardiovascular disease (CVD) is a major cause of mortality in this population. Adropin is a unique hormone encoded by the energy homeostasis-associated (Enho) gene. AIM OF THE WORK: We aimed to explore the efficacy of adropin as a diagnostic candidate biomarker for CVD in patients with CKD.

methodsThis is prospective study was carried out on 60 patients (Pt) with CKD and 30 age and sex matched healthy control subjects. CKD Pt were classified according to the history of CVD into two groups: Group A, Pt without history (n = 32) and Group B, Pt with history (n = 28). Serum adropin, lipids and Hs-CRP were measured by ELISA kit. Echocardiography was also investigated. Receiver operator characteristic curve (ROC) was used to determine cut-off points of adropin. Negative predict value (NPV), negative predict value (NPV) and area under curve were detected.

resultsThere were abnormal ECGs in 78.6 % of CKD patients. Adropin was significantly decreased in Group B than Group A and control group. On the other hand, serum lipids and Hs-CRP were significantly increased in Group B than Group A and control group. ROC analysis revealed that serum adropin could be used to discriminate between patients with and without CVD history at a cutoff level of > 304 with 46.4 % sensitivity and 84.4 % specificity, 74.8 % PPV, 61.2 % NPV and AUC = 0.57. Moreover, between Group A and control at a cutoff level of < 410, with 93.8 % sensitivity, 86.7 % specificity, 87.6 % PPV and 93.3 % NPV and AUC = 0.97 as well as between Group B and control group at a cutoff level of < 416, with 57.1 % sensitivity, 83.3 % specificity, 77.4 % PPV and 66 % NPV and AUC = 0.65.

conclusionParticularly in CKD patients, adropin may be a useful biomarker for predicting the onset of CVD. Adropin may represent a novel and useful blood marker for assessing systolic function and Spontaneous coronary artery dissection (SCAD).

Indexed as

AdropinCardiovascular diseaseChronic kidney diseasePredictive valuesSCADSensitivitySpecificity

Identifiers

PMID39674635
PMCPMC11703640

What Socratic holds

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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 Socratic graph.