Evidence map›Paper›PMID 26069751›Full record

ArticleClinical kidney journal2012

Survival over 2 years of autosomal-recessive renal tubular dysgenesis.

Su Yeong Kim, Hee Gyung Kang, Ee Kyung Kim, Jung Hwan Choi, Yong Choi, Hae Il Cheong

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Clinical kidney journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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  10. Renal tubular dysgenesis.Pediatric nephrology (Berlin, Germany) · 2014
    Review
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 at 3 institutions in 1 country.

Su Yeong KimDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea.
Hee Gyung KangDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea ; Research Center for Rare Diseases, Seoul National University Hospital, Seoul, Korea.
Ee Kyung KimDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea.
Jung Hwan ChoiDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea.
Yong ChoiDepartment of Pediatrics, Inje University Haeundae Paik Hospital, Busan, Korea.
Hae Il CheongDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, Korea ; Research Center for Rare Diseases, Seoul National University Hospital, Seoul, Korea ; Kidney Research Institute, Medical Research Center, Seoul National University College of Medicine, Seoul, Korea.
Seoul National University Children's Hospital · KRSeoul National University Hospital · KRInje University Haeundae Paik Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal-recessive renal tubular dysgenesis (AR-RTD) is a rare disorder caused by a genetic defect in the renin-angiotensin system. Although AR-RTD has typically been known as a lethal disease due to refractory hypotension and renal failure immediately after birth, few cases have reported survival of the neonatal period. We report here an additional case of AR-RTD, who had novel ACE mutations and survived over 2 years and provide a review of the five previously reported surviving cases. In conclusion, AR-RTD is not a uniformly fatal disease, although factors affecting the survival remain unknown.

Indexed as

ACE geneangiotensin-converting enzymeautosomal recessive renal tubular dysgenesisrenin–angiotensin system

Identifiers

PMID26069751
PMCPMC4400456
OpenAlexW2118671247

What OpenQuestion holds

Textmetadata
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.