Evidence map›Paper›PMID 33922835›Full record

ArticleInternational journal of neonatal screening2021

A Novel Approach to Improve Newborn Screening for Congenital Hypothyroidism by Integrating Covariate-Adjusted Results of Different Tests into CLIR Customized Interpretive Tools.

Alexander D Rowe, Stephanie D Stoway, Henrik Åhlman, Vaneet Arora, Michele Caggana, Anna Fornari, Arthur Hagar, Patricia L Hall, Gregg C Marquardt, Bobby J Miller and 14 more

Abstract 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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  3. International journal of neonatal screening · 2026
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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

24 authors.

Alexander D RoweNorwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, 0424 Oslo, Norway.
Stephanie D StowayNorwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, 0424 Oslo, Norway.
Henrik ÅhlmanCentre for Inherited Metabolic Diseases, Karolinska University Hospital, 17177 Solna, Sweden.
Vaneet AroraDivision of Laboratory Services, Kentucky Department for Public Health, Frankfort, KY 40601, USA.
Michele CagganaWadsworth Center, New York State Department of Health, Albany, NY 12237, USA.
Anna FornariBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Arthur HagarGeorgia Department of Public Health, Atlanta, GA 30303, USA.ORCID 0000-0002-4260-0130
Patricia L HallGeorgia Department of Public Health, Atlanta, GA 30303, USA.
Gregg C MarquardtDivision of Laboratory Pathology External Applications, Department of Information Technology, Mayo Clinic, Rochester, MN 55905, USA.
Bobby J MillerDivision of Laboratory Pathology External Applications, Department of Information Technology, Mayo Clinic, Rochester, MN 55905, USA.
Christopher NixonVirginia Department of General Services, Division of Consolidated Laboratory Services, Richmond, VA 23219, USA.
Andrew P NorganBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Joseph J OrsiniWadsworth Center, New York State Department of Health, Albany, NY 12237, USA.
Rolf D PettersenNorwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, 0424 Oslo, Norway.
Amy L PiazzaBiochemical Genetics Laboratory, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN 55905, USA.
Neil R SchubauerDivision of Laboratory Pathology External Applications, Department of Information Technology, Mayo Clinic, Rochester, MN 55905, USA.
Amy C SmithDivision of Laboratory Services, Kentucky Department for Public Health, Frankfort, KY 40601, USA.
Hao TangGenetic Disease Screening Program, California Department of Public Health, Richmond, CA 94804, USA.
Norma P TavakoliWadsworth Center, New York State Department of Health, Albany, NY 12237, USA.
Sainan WeiDivision of Laboratory Services, Kentucky Department for Public Health, Frankfort, KY 40601, USA.
Rolf H ZetterströmCentre for Inherited Metabolic Diseases, Karolinska University Hospital, 17177 Solna, Sweden.ORCID 0000-0002-3016-0019
Robert J CurrierDepartment of Pediatrics, University of California, San Francisco, CA 94143, USA.ORCID 0000-0001-9168-5604
Lars MørkridDepartment of Medical Biochemistry, Division of Laboratory Medicine, Oslo University Hospital HF, 0424 Oslo, Norway.
Piero RinaldoNorwegian National Unit for Newborn Screening, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, 0424 Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Newborn screening for congenital hypothyroidism remains challenging decades after broad implementation worldwide. Testing protocols are not uniform in terms of targets (TSH and/or T4) and protocols (parallel vs. sequential testing; one or two specimen collection times), and specificity (with or without collection of a second specimen) is overall poor. The purpose of this retrospective study is to investigate the potential impact of multivariate pattern recognition software (CLIR) to improve the post-analytical interpretation of screening results. Seven programs contributed reference data (N = 1,970,536) and two sets of true (TP, N = 1369 combined) and false (FP, N = 15,201) positive cases for validation and verification purposes, respectively. Data were adjusted for age at collection, birth weight, and location using polynomial regression models of the fifth degree to create three-dimensional regression surfaces. Customized Single Condition Tools and Dual Scatter Plots were created using CLIR to optimize the differential diagnosis between TP and FP cases in the validation set. Verification testing correctly identified 446/454 (98%) of the TP cases, and could have prevented 1931/5447 (35%) of the FP cases, with variable impact among locations (range 4% to 50%). CLIR tools either as made here or preferably standardized to the recommended uniform screening panel could improve performance of newborn screening for congenital hypothyroidism.

Indexed as

bioinformaticsCollaborative Laboratory Integrated Reports (CLIR)congenital hypothyroidismcovariate-adjusted reference intervalsdual scatter plotfalse positivesnewborn screeningsingle condition toolthyroid-stimulating hormonethyroxine

Identifiers

PMID33922835
PMCPMC8167643

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.