Evidence map›Paper›PMID 37217688›Full record

ArticleJournal of human genetics2023

Clinical and genetic features of cystic fibrosis in Japan.

Yuka Kozawa, Akiko Yamamoto, Miyuki Nakakuki, Kotoyo Fujiki, Shiho Kondo, Takuto Okada, Tomoya Fukuyasu, Makoto Yamaguchi, Itsuka Taniguchi, Nao Nomura and 7 more

Abstract read
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In one paragraph

Article in Journal of human genetics, 2023. 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
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  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

17 authors at 7 institutions in 1 country.

Yuka KozawaDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Akiko YamamotoDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Miyuki NakakukiDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kotoyo FujikiDepartment of Nutrition, Nagoya University of Arts and Sciences, Nisshin, Japan.
Shiho KondoDepartment of Health and Nutrition, Nagoya Women's University, Nagoya, Japan.
Takuto OkadaDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Tomoya FukuyasuDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Makoto YamaguchiDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Itsuka TaniguchiDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nao NomuraDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Libin LiuDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Mayuko HiguchiDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Erina NiwaDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoshiro SohmaDivision of Molecular Therapy, Department of Pharmaceutical Sciences, School of Pharmacy and Center for Basic Medical Research, International University of Health and Welfare, Otawara, Japan.ORCID http://orcid.org/0000-0002-1861-7004
Satoru NaruseMiyoshi Municipal Hospital, Miyoshi, Japan.
Yoshifumi TakeyamaDepartment of Surgery, Kindai University School of Medicine, Osakasayama, Japan.
Hiroshi IshiguroDepartment of Human Nutrition, Nagoya University Graduate School of Medicine, Nagoya, Japan. ishiguro@htc.nagoya-u.ac.jp.
Nagoya University · JPInternational University of Health and Welfare · JPKindai University · JPNagoya Gakuin University · JPNagoya University of Arts and Sciences · JPNagoya Women's University · JPTsu City College · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cystic fibrosis (CF) is an autosomal recessive disease caused by pathogenic variants in CF transmembrane conductance regulator (CFTR). While CF is the most common hereditary disease in Caucasians, it is rare in East Asia. In the present study, we have examined clinical features and the spectrum of CFTR variants of CF patients in Japan. Clinical data of 132 CF patients were obtained from the national epidemiological survey since 1994 and CF registry. From 2007 to 2022, 46 patients with definite CF were analyzed for CFTR variants. All exons, their boundaries, and part of promoter region of CFTR were sequenced and the presence of large deletion and duplications were examined by multiplex ligation-dependent probe amplification. CF patients in Japan were found to have chronic sinopulmonary disease (85.6%), exocrine pancreatic insufficiency (66.7%), meconium ileus (35.6%), electrolyte imbalance (21.2%), CF-associated liver disease (14.4%), and CF-related diabetes (6.1%). The median survival age was 25.0 years. The mean BMI percentile was 30.3%ile in definite CF patients aged < 18 years whose CFTR genotypes were known. In 70 CF alleles of East Asia/Japan origin, CFTR-dele16-17a-17b was detected in 24 alleles, the other variants were novel or very rare, and no pathogenic variants were detected in 8 alleles. In 22 CF alleles of Europe origin, F508del was detected in 11 alleles. In summary, clinical phenotype of Japanese CF patients is similar to European patients, but the prognosis is worse. The spectrum of CFTR variants in Japanese CF alleles is entirely different from that in European CF alleles.

Indexed as

Cystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorGenotypeHumansJapanMutationCystic Fibrosis Transmembrane Conductance Regulator

Identifiers

PMID37217688
OpenAlexW4377241660

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.