Evidence map›Paper›PMID 34869124›Full record

ArticleFrontiers in pediatrics2021

Three Novel and One Potential Hotspot

Weifeng Zhang, Yanru Chen, Chunmei Lin, Weilin Peng, Qingliu Fu, Yiming Lin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 80% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors.

Weifeng ZhangDepartment of Neonatology, Quanzhou Maternity and Children's Hospital, Quanzhou, China.
Yanru ChenCenter of Neonatal Disease Screening, Quanzhou Maternity and Children's Hospital, Quanzhou, China.
Chunmei LinCenter of Neonatal Disease Screening, Quanzhou Maternity and Children's Hospital, Quanzhou, China.
Weilin PengCenter of Neonatal Disease Screening, Quanzhou Maternity and Children's Hospital, Quanzhou, China.
Qingliu FuCenter of Neonatal Disease Screening, Quanzhou Maternity and Children's Hospital, Quanzhou, China.
Yiming LinCenter of Neonatal Disease Screening, Quanzhou Maternity and Children's Hospital, Quanzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carnitine palmitoyltransferase 1A (CPT1A) deficiency is an inherited disorder of mitochondrial fatty acid β-oxidation that impairs fasting ketogenesis and gluconeogenesis in the liver. Few studies implementing newborn screening (NBS) for CPT1A deficiency in the Chinese population have been reported. This study aimed to determine the biochemical, clinical, and genetic characteristics of patients with CPT1A deficiency in China. A total of 204,777 newborns were screened using tandem mass spectrometry at Quanzhou Maternity and Children's Hospital between January 2017 and December 2018. Newborns with elevated C0 levels were recruited, and suspected patients were subjected to further genetic analysis. Additionally, all Chinese patients genetically diagnosed with CPT1A deficiency were reviewed and included in the study. Among the 204,777 screened newborns, two patients were diagnosed with CPT1A deficiency; thus, the estimated incidence in the selected population was 1:102,388. In addition to the two patients newly diagnosed with CPT1A deficiency, we included in our cohort 10 Chinese patients who were previously diagnosed. Five of these 12 patients were diagnosed

Indexed as

carnitine palmitoyltransferase 1A deficiencyCPT1A genein silico predictionnewborn screeningtandem mass spectrometry

Identifiers

PMID34869124
PMCPMC8633485
OpenAlexW3212928722

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.