Evidence map›Paper›PMID 33811288›Full record

ArticleHepatology international2021

Predicting liver cyst severity by mutations in patients with autosomal-dominant polycystic kidney disease.

Hiroshi Kataoka, Saki Watanabe, Masayo Sato, Shun Manabe, Shiho Makabe, Taro Akihisa, Yusuke Ushio, Naomi Iwasa, Rie Yoshida, Ken Tsuchiya and 2 more

Abstract read
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Article in Hepatology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Congenital hepatic cyst: Eleven case reports.World journal of clinical cases · 2022
    Article
  11. Review
  12. Article
  13. Germline Mutations for Kidney Volume in ADPKD.Kidney international reports · 2022
    Article
  14. Polycystic Liver Disease: Pathophysiology, Diagnosis and Treatment.Hepatic medicine : evidence and research · 2022
    Review
  15. 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

12 authors at 1 institution in 1 country.

Hiroshi KataokaDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Saki WatanabeDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Masayo SatoDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Shun ManabeDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Shiho MakabeDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Taro AkihisaDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Yusuke UshioDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Naomi IwasaDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Rie YoshidaDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Ken TsuchiyaDepartment of Blood Purification, Tokyo Women's Medical University, Tokyo, 162-866, Japan.
Kosaku NittaDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan.
Toshio MochizukiDepartment of Nephrology, Tokyo Women's Medical University, -1 Kawada-cho, Shinjuku-ku, Tokyo, 162-866, Japan. mtoshi@twmu.ac.jp.ORCID http://orcid.org/0000-0002-3820-3191
Tokyo Women's Medical University · JP

Funding

Japan Society for the Promotion of Science JP 15K09279
6 · The paper itself

Abstract

backgroundMost patients with autosomal-dominant polycystic kidney disease (ADPKD) develop liver cysts and polycystic liver disease as they age. To date, no simple clinical indicator has been confirmed to predict polycystic liver disease exacerbation. Furthermore, the effect of the type and location of mutation on disease progression of polycystic liver disease remains unclear. Here, we aimed to establish a simple liver cyst indicator for clinical practice and investigate whether gene mutations determined liver phenotype in patients with autosomal-dominant polycystic kidney disease.

methodsIn total, 129 patients with ADPKD were enrolled and liver cyst indicators were assessed based on mutation type (truncating mutation: nonsense, frameshift, and splicing mutation; non-truncating mutation: substitution) and mutation position. Liver cyst severity was determined using Gigot and Drenth classifications, based on their number, maximum diameter, and area ratio with the liver.

resultsWe observed an overall prevalence of 62.8% for polycystic liver disease. Patients with PKD1 nonsense mutations, a type of PKD1 truncating mutation, exhibited more severe liver disease phenotypes than those without the mutation. We identified maximum diameter as a potential liver cyst indicator. Moreover, a subgroup analysis that included a PKD1 nonsense mutation cohort revealed that genetic mutations located closer to the 5' end of PKD1 were associated with a maximum diameter index value ≥ 6 cm.

conclusionPKD1 nonsense mutations were associated with liver cyst severity, which along with maximum diameter index as a simple clinical indicator for liver cysts, may improve the treatment of polycystic liver disease associated with ADPKD.

Indexed as

CystsLiver DiseasesPolycystic Kidney, Autosomal DominantHumansMutationTRPP Cation ChannelsTRPP Cation ChannelsCyst-liver area ratioDrenth classificationGigot classificationLiver cyst indicatorMaximum liver cyst diameterMutation typeNonsense mutationPKD1Polycystic liver diseasePolycystin-1Sex differenceSubstitution mutation

Identifiers

PMID33811288
OpenAlexW3146015825

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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.