Evidence map›Paper›PMID 32368684›Full record

ArticleArchives of medical sciences. Atherosclerotic diseases2019

Predictors of future microalbuminuria in children and adolescents with type 1 diabetes mellitus in Egypt.

Safinaz El Habashy, Amira Abd El Monem Adly, Mohamed Salah Eldin Mohamed Abdel Kader, Sherine El-Tokhy Ali

Open access · diamondAbstract read
In one paragraph

Article in Archives of medical sciences. Atherosclerotic diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Safinaz El HabashyDepartment of Paediatrics, Faculty of Medicine, Ain Shams University, Cair, Egypt.
Amira Abd El Monem AdlyDepartment of Paediatrics, Faculty of Medicine, Ain Shams University, Cair, Egypt.
Mohamed Salah Eldin Mohamed Abdel KaderDepartment of Paediatrics, Faculty of Medicine, Misr University of Science and Technology (MUST), Giza, Egypt.
Sherine El-Tokhy AliDepartment of Paediatrics, Faculty of Medicine, Misr University of Science and Technology (MUST), Giza, Egypt.
Ain Shams University · EGMisr University for Science and Technology · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe present study was designed to assess the validity and efficacy of urinary markers (NAG, RBP, transferrin, α1-microglobulin, and plasma homocysteine) as early predictors of microalbuminuria in diabetic nephropathy in children and adolescents with type-1 diabetes, and its relation with haemoglobin glycated (HbA MATERIAL AND

methodsThis study is a follow-up study to the 2002 study by Salem

resultsRegarding the metabolic control between the studied groups, we found that there is significant difference in HbA

conclusionsRegarding the predictability of urinary markers, urinary NAG is the most predictable marker with both high sensitivity and specificity, with a sensitivity of 60%, specificity 75%, positive predictive value 60%, negative predictive value 75%, and a diagnostic accuracy of 0.58%. Urinary RBP is another marker with low sensitivity but high specificity. Urinary α1-microglobulin is a valid marker with high sensitivity but low specificity. Contrary to previous markers, plasma homocysteine has high specificity but low sensitivity.

Indexed as

diabetes mellitusdiabetic nephropathymicro albuminuriaplasma homocysteineretinol binding proteintransferrinurinary N-acetyl-β-glucosaminidaseα1-microglobulin

Identifiers

PMID32368684
PMCPMC7191941
OpenAlexW2999586175

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.