Evidence map›Paper›PMID 35466196›Full record

ArticleInternational journal of neonatal screening2022

A New Approach to Objectively Evaluate Inherited Metabolic Diseases for Inclusion on Newborn Screening Programmes.

Alberto Burlina, Simon A Jones, Anupam Chakrapani, Heather J Church, Simon Heales, Teresa H Y Wu, Georgina Morton, Patricia Roberts, Erica F Sluys, David Cheillan

Abstract read
In one paragraph

Article in International journal of neonatal screening, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Newborn Screening for Fabry Disease: Current Status of Knowledge.International journal of neonatal screening · 2023
    Review
  12. Article
  13. Newborn Screening: From the Past to the Future.Turkish archives of pediatrics · 2022
    Article
  14. 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

10 authors.

Alberto BurlinaDivision of Inherited Metabolic Diseases, Reference Centre Expanded Newborn Screening, University Hospital Padova, 35128 Padova, Italy.ORCID 0000-0001-7724-137X
Simon A JonesWillink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.
Anupam ChakrapaniDepartment of Metabolic Medicine, Great Ormond Street Hospital NHS Foundation Trust, London WC1N 3JH, UK.
Heather J ChurchWillink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.
Simon HealesNeurometabolic Unit, University College London Hospitals NHS Foundation Trust and Enzymes Laboratory, Great Ormond Street Hospital NHS Foundation Trust, London WC1N 3JH, UK.
Teresa H Y WuWillink Biochemical Genetics Unit, Manchester Centre for Genomic Medicine, Manchester University NHS Foundation Trust, St Mary's Hospital, Oxford Road, Manchester M13 9WL, UK.
Georgina MortonArchAngel MLD Trust, Registered Charity No. 1157825, 59 Warwick Square, London SW1V 2AL, UK.
Patricia RobertsArchAngel MLD Trust, Registered Charity No. 1157825, 59 Warwick Square, London SW1V 2AL, UK.
Erica F SluysHelvet Health, Ruelle de la Muraz 4, 1260 Nyon, Switzerland.
David CheillanService Biochimie et Biologie Moléculaire, Groupement Hospitalier Est, Hospices Civils de Lyon, 69002 Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Newborn screening (NBS) programmes are essential in the diagnosis of inherited metabolic diseases (IMDs) and for access to disease modifying treatment. Most European countries follow the World Health Organisation (WHO) criteria to determine which disorders are appropriate for screening at birth; however, these criteria are interpreted and implemented by individual countries differently, creating disparities. Advances in research and diagnostics, together with the promise of new treatments, offer new possibilities to accelerate the expansion of evidence-based screening programmes. A novel and robust algorithm was built to objectively assess and prioritise IMDs for inclusion in NBS programmes. The Wilson and Jungner classic screening principles were used as a foundation to develop individual and measurable criteria. The proposed algorithm is a point-based system structured upon three pillars: condition, screening, and treatment. The algorithm was tested by applying the six IMDs currently approved in the United Kingdom NBS programme. The algorithm generates a weight-based score that could be used as the first step in the complex process of evaluating disorders for inclusion on NBS programmes. By prioritising disorders to be further evaluated, individual countries are able to assess the economic, societal and political aspects of a potential screening programme.

Indexed as

congenital disordersgeneticsinherited disorderinherited metabolic diseasemethodologynewborn screening (NBS)paediatricspublic healthrare diseasesWilson and Jungner

Identifiers

PMID35466196
PMCPMC9036245

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.