Evidence map›Paper›PMID 34466595›Full record

ArticleGalen medical journal2020

Prediction of Mortality Incidence in Patients with Chronic Kidney Disease Based on Influential Prognostic Factors with Competing Risks Approach.

Anahita Saeedi, Ahmadreza Baghestani, Seyed-Saeed Hashemi-Nazari, Farzanehsadat Minoo, Navid Mohseni, Zahra Esfahani

Abstract read
In one paragraph

Article in Galen medical journal, 2020. 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

6 authors.

Anahita SaeediStudent Research Committee, Department of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ahmadreza BaghestaniDepartment of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyed-Saeed Hashemi-NazariDepartment of Epidemiology, School of Public Health, Shahid Beheshti University of Medical Science, Tehran, Iran.
Farzanehsadat MinooCenter of Excellence in Nephrology, Nephrology Research Center, Tehran University of Medical Science, Tehran, Iran.
Navid MohseniDepartment of Biostatistics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zahra EsfahaniDepartment of Biostatistics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic Kidney Disease (CKD) is a disease in which the kidney's functionality declines gradually. The aim of this study was to identify significant laboratory prognostic factors on death due to CKD in a clinical complex. MATERIALS AND

methodsA retrospective study including 109 patients with the end-stage renal disease treated at Iran Helal pharmaceutical and the clinical complex was conducted between 2014-2018. The survival time was set as the time interval between starting dialysis until death due to CKD. Also, the transplantation was considered as competing risk, which was occurred for a few patients. A three-parameter Gompertz model was used that considers both the event of interest and the competing event simultaneously.

resultsDeath due to CKD occurred in 29 (26.6%) of the patients and 19(17.4%) with transplantation. Serum uric acid was a significant prognostic factor that decreased the hazard of mortality by 21%. Serum phosphorus and age by increasing the risk of death, were poor prognoses for the event of interest. Serum uric acid and phosphorus 6.9-9.9 (mg/dl) were associated with 72% and 4.05- fold increased hazard of transplant, respectively. The 4-year cumulative incidence of death and transplant was 48.4% and 29.2%, respectively.

conclusionWe have deduced that high serum phosphorus levels and increased levels of age were associated with worse outcomes. High serum uric acid level was related to better survival, which could be explained by having a better protein-rich diet alongside the high albumin level.

Indexed as

Chronic Kidney DiseaseCompeting RisksRenal TransplantationSurvival Analyses

Identifiers

PMID34466595
PMCPMC8344026

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