Evidence map›Paper›PMID 35257066›Full record

ArticleKidney international reports2022

Germline Mutations for Kidney Volume in ADPKD.

Hiroshi Kataoka, Rie Yoshida, Naomi Iwasa, Masayo Sato, Shun Manabe, Keiko Kawachi, Shiho Makabe, Taro Akihisa, Yusuke Ushio, Atsuko Teraoka and 3 more

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 10 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

13 authors at 1 institution in 1 country.

Hiroshi KataokaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Rie YoshidaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Naomi IwasaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Masayo SatoDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Shun ManabeDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Keiko KawachiDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Shiho MakabeDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Taro AkihisaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Yusuke UshioDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Atsuko TeraokaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Ken TsuchiyaDepartment of Blood Purification, Tokyo Women's Medical University, Tokyo, Japan.
Kosaku NittaDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Toshio MochizukiDepartment of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.
Tokyo Women's Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Valid prediction models or predictors of disease progression in children and young patients with autosomal dominant polycystic kidney disease (ADPKD) are lacking. Although total kidney volume (TKV) and Mayo imaging classification are generally used to predict disease progression in patients with ADPKD, it remains unclear whether germline mutation types are associated with these factors. We therefore investigated the association between mutation type and TKV and Mayo imaging classification among patients with ADPKD. Methods: A total of 129 patients with ADPKD who underwent genetic analyses were enrolled in the study. The associations between the severity of PKD (TKV ≥ 1000 ml and Mayo classes 1C-1E) and the Results: Among the mutation types, only Conclusion: Kidney cyst severity differs according to the mutation types in

Indexed as

autosomal dominant polycystic kidney diseaseframeshift mutationgermline mutationkidney volumeMayo imaging classificationsplicing mutation

Identifiers

PMID35257066
PMCPMC8897295
OpenAlexW4200594332

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.