Evidence map›Paper›PMID 39285372›Full record

ReviewBMC nephrology2024

Fibronectin glomerulopathy in an elderly patient with FN1 gene mutation: a case report and literature review.

Ji-Young Choi, Mee-Seon Kim, Zehwan Kim

Abstract readCase ReportsReview
In one paragraph

Review in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. [Glomerulopathy with fibronectin deposits caused byZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  4. Article
  5. 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

3 authors.

Ji-Young ChoiDivision of Nephrology, Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Korea.
Mee-Seon KimDepartment of Pathology, School of Medicine, Kyungpook National University, Daegu, Korea.
Zehwan KimDepartment of Laboratory Medicine, Yeungnam University College of Medicine, 170 Hyeonchung-ro, Nam-gu, Daegu, 42415, Republic of Korea. ogkim@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFibronectin glomerulopathy (FNG) is a rare autosomal dominant glomerulopathy that can lead to nephrotic syndrome. Here we report the case of an elderly patient diagnosed with FNG, exhibiting nephrotic-range proteinuria, with a 2-year follow-up. CASE PRESENTATION: A 75-year-old Korean female visited the nephrology clinic after experiencing generalized edema for 2 months. Her serum creatinine was 1.36 mg/dL, and urine protein-to-creatinine ratio was 3.99 g/g. Kidney biopsy revealed mesangial and subendothelial dense deposits, and immunohistochemistry for fibronectin showed strong positivity in the glomerulus. The patient's family history included non-specific renal disease in her mother and two siblings. Genetic testing of the fibronectin 1 (FN1) gene showed Y973C mutation. She received conservative treatment, including angiotensin II receptor blockers (ARB). Two years after biopsy, the patient has preserved renal function and reduced proteinuria.

conclusionWe report the case of a 75-year-old patient with nephrotic-range proteinuria, who was diagnosed with FNG, and found to harbor a FN1 gene mutation. In this case, conservative treatment including ARB yielded reduction of proteinuria and preservation of renal function.

Indexed as

FibronectinsMutationAgedFemaleGlomerulonephritis, MembranoproliferativeHumansProteinuriaFibronectinsFN1 protein, humanElderlyFibronectinFN1Glomerulopathy with Fibronectin DepositNephrotic syndrome

Identifiers

PMID39285372
PMCPMC11406722

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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.