Evidence map›Paper›PMID 38707821›Full record

ArticleKidney international reports2024

Description of a New Simple and Cost-Effective Molecular Testing That Could Simplify

Victor Fages, Florentin Bourre, Romain Larrue, Andrea Wenzel, Jean-Baptiste Gibier, Fabrice Bonte, Claire-Marie Dhaenens, Kendrah Kidd, Stanislav Kmoch, Anthony Bleyer and 2 more

Abstract read
In one paragraph

Article in Kidney international reports, 2024. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Utility of Genetic Testing in Adults with CKD: A Systematic Review and Meta-Analysis.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  6. Clinical kidney journal · 2025
    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

12 authors.

Victor FagesNephrology, Centre Hospitalier Regional Universitaire de Lille, Lille, France.
Florentin BourreNephrology, Centre Hospitalier Regional Universitaire de Lille, Lille, France.
Romain LarrueService de Toxicologie et Génopathies, CHU Lille, Lille, France.
Andrea WenzelInstitute of Human Genetics, Center for Molecular Medicine Cologne, Cologne, Germany.
Jean-Baptiste GibierJean-Pierre Aubert Research Center, University of Lille, Lille, France.
Fabrice BonteFunctional and Structural Platform, Université de Lille, Lille, France.
Claire-Marie DhaenensDepartment of Biochemistry and Molecular Biology, Institut National de la Santé et de la Recherche Médicale, Centre Hospitalier Universitaire de Lille, Lille, France.
Kendrah KiddSection on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Stanislav KmochFirst Faculty of Medicine, Charles University, Nové Město, Czechia.
Anthony BleyerSection on Nephrology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
François GlowackiNephrology, Centre Hospitalier Regional Universitaire de Lille, Lille, France.
Olivier GrunewaldNeuroscience and Cognition, University Lille, Inserm, CHU Lille, Lille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Patients with autosomal dominant tubulointerstitial kidney disease (ADTKD) usually present with nonspecific progressive chronic kidney disease (CKD) with mild to negative proteinuria and a family history. ADTKD- Methods: We developed a bioinformatic counting script that can detect specific genetic sequences and count the number of occurrences. We used DNA samples from 27 patients for validation, 11 of them were patients from the Lille University Hospital in France and 16 were from the Wake Forest Hospital, NC. All patients from Lille were tested with an NGS gene panel with our script and all patients from Wake Forest Hospital were tested with the snapshot reference technique. Between January 2018 and February 2023, we collected data on all patients diagnosed with Results: A total of 27 samples were tested anonymously by the BROAD Institute reference technique for confirmation and we were able to get a 100% concordance for MUC1 diagnosis. Clinico-biologic characteristics in our cohort were similar to those previously described in ADTKD- Conclusion: We describe a new simple and cost-effective method for molecular testing of ADTKD-

Indexed as

ADTKDMUC1VNTR

Identifiers

PMID38707821
PMCPMC11068942

What OpenQuestion holds

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Registered trials

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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.