Evidence map›Paper›PMID 37901409›Full record

ArticleFrontiers in medicine2023

Case report: Genotype-phenotype characteristics of nine novel

Jing Zhuang, Ailima Aierken, Dilina Yalikun, Jun Zhang, Xiaoqin Wang, Yongfang Ren, Xuefei Tian, Hong Jiang

Open access · goldAbstract readCase Reports
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Ciliary G-Protein Coupled Receptor Signaling in Polycystic Kidney Disease.International journal of molecular sciences · 2025
    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

8 authors at 2 institutions in 2 countries.

Jing ZhuangDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, China.
Ailima AierkenDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, China.
Dilina YalikunDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, China.
Jun ZhangDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, China.
Xiaoqin WangDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, China.
Yongfang RenDepartment of Radiology and Medical Imaging, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, China.
Xuefei TianSection of Nephrology, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.
Hong JiangDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, China.
People's Hospital of Xinjiang Uygur Autonomous Region · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Autosomal dominant polycystic kidney disease (ADPKD) is a common genetic disorder. The Methods: Eight Chinese pedigrees affected by ADPKD were analyzed using whole-exome sequencing (WES) on peripheral blood DNA. The identified variants were validated using Sanger sequencing, and clinical data from the patients and their families were collected and analyzed. Results: Nine novel mutation sites in Conclusion: This study highlights the importance of comprehensive genotype analysis in understanding the progression and prognosis of ADPKD. The identification of novel mutation sites expands our knowledge of

Indexed as

autosomal dominant polycystic kidney diseasegenetic kidney diseasegenotype-phenotype characteristicsPKD1 gene mutationsecond-generation sequencing

Identifiers

PMID37901409
PMCPMC10600478
OpenAlexW4387517657

What Socratic 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 Socratic graph.