Evidence map›Paper›PMID 37509056›Full record

ArticleBiomolecules2023

Tomoki Kimura, Haruna Kawano, Satoru Muto, Nobuhito Muramoto, Toshiaki Takano, Yan Lu, Hidetaka Eguchi, Hiroo Wada, Yasushi Okazaki, Hisamitsu Ide and 1 more

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2023. 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
2.2field-weighted citation impact, top 11% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

11 authors at 1 institution in 1 country.

Tomoki KimuraDepartment of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.ORCID 0009-0004-7434-8015
Haruna KawanoDepartment of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.
Satoru MutoDepartment of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.ORCID 0000-0002-5400-5195
Nobuhito MuramotoDepartment of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.ORCID 0000-0002-7717-1225
Toshiaki TakanoDiagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.
Yan LuDepartment of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.ORCID 0000-0001-5353-4362
Hidetaka EguchiDiagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.ORCID 0000-0002-0300-3587
Hiroo WadaDepartment of Public Health, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.
Yasushi OkazakiDiagnostics and Therapeutics of Intractable Diseases, Intractable Disease Research Center, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.ORCID 0000-0003-3241-5502
Hisamitsu IdeDepartment of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.
Shigeo HorieDepartment of Urology, Juntendo University Graduate School of Medicine, Tokyo 113-8431, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutosomal dominant polycystic kidney disease (ADPKD) occurs in 1 in 500-4000 people worldwide. Genetic mutation is a biomarker for predicting renal dysfunction in patients with ADPKD. In this study, we performed a genetic analysis of Japanese patients with ADPKD to investigate the prognostic utility of genetic mutations in predicting renal function outcomes.

methodsPatients clinically diagnosed with ADPKD underwent a panel genetic test for germline mutations in

resultsOf 436 patients, 366 (83.9%) had genetic mutations. Notably, patients with

conclusionsThe analysis of germline mutations can predict renal prognosis in Japanese patients with ADPKD, and

Indexed as

Polycystic Kidney, Autosomal DominantAgedBiomarkersGerm-Line MutationHumansMutationTRPP Cation ChannelsBiomarkersTRPP Cation ChannelsADPKDanalysis of germline mutationsbiomarkersPKD1 mutationpredicting renal prognosis

Identifiers

PMID37509056
PMCPMC10377076
OpenAlexW4381682639

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.