Evidence map›Paper›PMID 41372252›Full record

ArticleScientific data2025

Extended Lombardy's Neonatal Screening Dataset.

G Lopiano, L Alberti, C Cereda, F Cabitza

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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
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.

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

4 authors.

G LopianoUniversity of Milano Bicocca, Computer Science, Milano, 20125, Italy. g.lopiano1@campus.unimib.it.ORCID http://orcid.org/0009-0004-9409-3865
L AlbertiAsst fatebenefratelli sacco, Milano, Italy.
C CeredaAsst fatebenefratelli sacco, Milano, Italy.ORCID http://orcid.org/0000-0001-9571-0862
F CabitzaUniversity of Milano Bicocca, Computer Science, Milano, 20125, Italy.ORCID http://orcid.org/0000-0002-4065-3415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neonatal Screening (NS) is a mandatory secondary prevention program established in the 1960s to detect rare genetic disorders in newborns. Early diagnosis through NS enables timely interventions, helping to prevent severe health complications. Despite its long-standing implementation, there remains a scarcity of publicly available datasets to support medical research and academic analysis. In this work, we present a comprehensive dataset containing blood samples and associated information from nearly a decade of Neonatal Screening in Lombardy. This dataset offers valuable insights for medical studies on genetic disorders, early diagnostics, and treatment efficacy. Additionally, it can support academic research in data-driven healthcare analysis and policy development. By making this dataset publicly available, we aim to enhance research opportunities in neonatal health and contribute to the improvement of early intervention strategies.

Indexed as

Genetic Diseases, InbornNeonatal ScreeningHumansInfant, NewbornItaly

Identifiers

PMID41372252
PMCPMC12827940

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.