Evidence map›Paper›PMID 38137468›Full record

ArticleBiomedicines2023

Butyrylcarnitine Elevation in Newborn Screening: Reducing False Positives and Distinguishing between Two Rare Diseases through the Evaluation of New Ratios.

MariaAnna Messina, Alessia Arena, Riccardo Iacobacci, Luisa La Spina, Concetta Meli, Federica Raudino, Martino Ruggieri

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

MariaAnna MessinaExpanded Newborn Screening Laboratory, Newborn Screening and Metabolic Diseases Unit, University-Polyclinic "G. Rodolico-San Marco", 95123 Catania, Italy.ORCID 0000-0002-8652-4248
Alessia ArenaExpanded Newborn Screening Laboratory, Newborn Screening and Metabolic Diseases Unit, University-Polyclinic "G. Rodolico-San Marco", 95123 Catania, Italy.ORCID 0000-0003-3049-9247
Riccardo IacobacciExpanded Newborn Screening Laboratory, Newborn Screening and Metabolic Diseases Unit, University-Polyclinic "G. Rodolico-San Marco", 95123 Catania, Italy.
Luisa La SpinaExpanded Newborn Screening Laboratory, Newborn Screening and Metabolic Diseases Unit, University-Polyclinic "G. Rodolico-San Marco", 95123 Catania, Italy.
Concetta MeliExpanded Newborn Screening Laboratory, Newborn Screening and Metabolic Diseases Unit, University-Polyclinic "G. Rodolico-San Marco", 95123 Catania, Italy.
Federica RaudinoExpanded Newborn Screening Laboratory, Newborn Screening and Metabolic Diseases Unit, University-Polyclinic "G. Rodolico-San Marco", 95123 Catania, Italy.
Martino RuggieriExpanded Newborn Screening Laboratory, Newborn Screening and Metabolic Diseases Unit, University-Polyclinic "G. Rodolico-San Marco", 95123 Catania, Italy.
University of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main challenges of newborn screening programs, which screen for inherited metabolic disorders, is cutting down on false positives (FPs) in order to avoid family stresses, additional analyses, and unnecessary costs. False positives are partly caused by an insubstantial number of robust biomarkers in evaluations. Another challenge is how to distinguish between diseases which share the same primary marker and for which secondary biomarkers are just as highly desirable. Focusing on pathologies that involve butyrylcarnitine (C4) elevation, such as short-chain acylCoA dehydrogenase deficiency (SCADD) and isobutyrylCoA dehydrogenase deficiency (IBDD), we investigated the acylcarnitine profile of 121 newborns with a C4 increase to discover secondary markers to achieve two goals: reduce the FP rate and discriminate between the two rare diseases. Analyses were carried out using tandem mass spectrometry with whole blood samples spotted on filter paper. Seven new biomarkers (C4/C0, C4/C5, C4/C5DC\C6OH, C4/C6, C4/C8, C4/C14:1, C4/C16:1) were identified using a non-parametric ANOVA analysis. Then, the corresponding cut-off values were found and applied to the screening program. The seven new ratios were shown to be robust (

Indexed as

biomarkersinherited disordersnewborn screeningtandem mass spectrometry

Identifiers

PMID38137468
PMCPMC10741594
OpenAlexW4389454394

What OpenQuestion holds

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LicenceCC BY
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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.