Evidence map›Paper›PMID 12432429›Full record

ArticlePediatric nephrology (Berlin, Germany)2002

Genetic analysis--a diagnostic tool for primary hyperoxaluria type I.

Danko Milosevic, Choni Rinat, Danica Batinic, Yaacov Frishberg

Abstract read
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In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Primary hyperoxaluria type 1: is genotyping clinically helpful?Pediatric nephrology (Berlin, Germany) · 2005
    Review
  6. Primary hyperoxaluria: liver biopsy or DNA analysis?Pediatric nephrology (Berlin, Germany) · 2003
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Danko MilosevicDepartment of Nephrology, Children's University Hospital, Zagreb, Croatia.
Choni Rinat
Danica Batinic
Yaacov Frishberg
Children's Hospital Zagreb · HRShaare Zedek Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary hyperoxaluria type I is an autosomal recessive metabolic disease in which excessive oxalates are formed by the liver and excreted by the kidneys, causing a wide spectrum of disease, ranging from renal failure in infancy to mere renal stones in late adulthood. The diagnosis may be suspected when clinical signs and increased urinary oxalate and glycolate excretion present, and is confirmed by the measurement of decreased alanine:glyoxylate aminotransferase activity in a liver sample. The enzymatic assay is not readily available to pediatric nephrologists in many parts of the world. We describe three families from Croatia in whom the diagnosis of primary hyperoxaluria was solely based on clinical findings that included nephrolithiasis and nephrocalcinosis accompanied by increased urinary oxalates and glycolate excretion, as enzymatic assays of liver samples could not be performed. Mutation analysis of the AGXT gene encoding the defective enzyme confirmed the diagnosis, revealing three alleles carrying the C156ins mutation and two the G630A mutation. Screening first-degree relatives for the relevant mutation disclosed an asymptomatic affected sibling. Mutation analysis of the AGXT gene is a non-invasive and accurate tool for the diagnosis of type I primary hyperoxaluria that may replace enzymatic assays of liver biopsies.

Indexed as

DNA Mutational AnalysisAdultAge of OnsetAlbaniaAllelesChild, PreschoolCroatiaFemaleHumansHyperoxaluria, PrimaryKidney CalculiKidney Failure, ChronicKidney TransplantationMaleNephrocalcinosisPedigree

Identifiers

PMID12432429
OpenAlexW3144664864

What OpenQuestion holds

Textmetadata
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.