Evidence map›Paper›PMID 34722386›Full record

ArticleIranian journal of public health2021

A Novel Variant in Iranian Patient with Cystinuria: A Case Report.

Ali Mardi, Hamed Heidary, Seyyed Mohammad Mousavi, Ghasem Khazaei, Eskandar Taghizadeh

Open access · goldAbstract readCase Reports
In one paragraph

Article in Iranian journal of public health, 2021. 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
0.2field-weighted citation impact, top 47% 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, 1 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

5 authors at 2 institutions in 1 country.

Ali MardiDepartment of Medical Genetics, Ali Asghar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Hamed HeidaryDepartment of Medical Genetics, Ali Asghar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Seyyed Mohammad MousaviDepartment of Medical Genetics, Ali Asghar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Ghasem KhazaeiCellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
Eskandar TaghizadehDepartment of Medical Genetic, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Iran University of Medical Sciences · IRAhvaz Jundishapur University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystinuria is an autosomal recessive disorder in which the renal reabsorption of cystine, arginine, lysine and ornithine are disturbed. The two genes, the pathogenic forms of which are responsible for the disorder, are SLC7A9 and SLC3A1. In this study, we describe a disease that has a new c.916A> T variant (p. K306 *) in exon 5 of the SLC3A1 gene. This variant results in the NMD phenomenon in which the protein product is not produced because of mRNA destruction. In 2020, blood sample of a 41-yr-old man from east Azerbaijan, Iran together with his parents were collected to be studied. PCR and direct sequencing were performed to detect the possible SLC3A1 variant. Whole-gene sequence analysis done by Mutation surveyor Software revealed a novel nonsense homozygous variant in exon 5 of the gene. Parental Sequence Analysis shows that they are heterozygous. According to ACMG guideline, this variant is considered as pathogen. Finding serious mutations can allow rapid screening for cystinuria by analyzing common mutations. It should also be considered as a pathogenic variant in patients' cystinuria.

Indexed as

CystinuriaIranKidney stone

Identifiers

PMID34722386
PMCPMC8542809
OpenAlexW3198272792

What OpenQuestion holds

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LicenceCC BY-NC
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.