Evidence map›Paper›PMID 33803550›Full record

ArticleInternational journal of neonatal screening2021

Clinical and Genetic Characteristics of Patients with Mild Hyperphenylalaninemia Identified by Newborn Screening Program in Japan.

Shino Odagiri, Daijiro Kabata, Shogo Tomita, Satoshi Kudo, Tomoko Sakaguchi, Noriko Nakano, Kouji Yamamoto, Haruo Shintaku, Takashi Hamazaki

Open access · goldAbstract read
In one paragraph

Article in International journal of neonatal screening, 2021. 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
1.0field-weighted citation impact, top 28% 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, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Newborn Screening in Japan-2021.International journal of neonatal screening · 2022
    Article
  4. An UpdatedGenes · 2021
    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

9 authors at 2 institutions in 1 country.

Shino OdagiriDepartment of Pediatrics, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.
Daijiro KabataDepartment of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.
Shogo TomitaDepartment of Medical Statistics, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.
Satoshi KudoDepartment of Pediatrics, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.
Tomoko SakaguchiDepartment of Pediatrics, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.
Noriko NakanoDepartment of Pediatrics, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.
Kouji YamamotoDepartment of Biostatistics, Yokohama City University School of Medicine, Yokohama 236-0004, Japan.
Haruo ShintakuDonated Course "Disability Medicine and Regenerative Medicine", Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.
Takashi HamazakiDepartment of Pediatrics, Osaka City University Graduate School of Medicine, Osaka 545-8585, Japan.
Osaka City University · JPYokohama City University · JP

Funding

Health and Labor Sciences Research Grant 20316977Japan Agency for Medical Research and Development JP16ek0109050Japan Agency for Medical Research and Development JP19ek0109276Japan Agency for Medical Research and Development JP20ek0109482
6 · The paper itself

Abstract

Phenylketonuria (PKU) and hyperphenylalaninemia (HPA), both identified in newborn screening, are attributable to variants in

Indexed as

genetic analysisgenotype–phenotype correlationhyperphenylalaninemianeonatal screeningphenylalanine hydroxylasephenylketonuria

Identifiers

PMID33803550
PMCPMC8006226
OpenAlexW3139461363

What OpenQuestion 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 OpenQuestion graph.