Evidence map›Paper›PMID 35500172›Full record

ArticleJournal of clinical laboratory analysis2022

Incorporation of second-tier tests and secondary biomarkers to improve positive predictive value (PPV) rate in newborn metabolic screening program.

Sarang Younesi, Bahareh Yazdani, Mohammad Mahdi Taheri Amin, Pourandokht Saadati, Soudabeh Jamali, Mohammad-Hossein Modarresi, Shahram Savad, Saloomeh Amidi, Homayoun Razavi, Soudeh Ghafouri-Fard

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Sarang YounesiNilou Laboratory, Tehran, Iran.
Bahareh YazdaniNilou Laboratory, Tehran, Iran.
Mohammad Mahdi Taheri AminNilou Laboratory, Tehran, Iran.
Pourandokht SaadatiNilou Laboratory, Tehran, Iran.
Soudabeh JamaliNilou Laboratory, Tehran, Iran.
Mohammad-Hossein ModarresiDepartment of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Shahram SavadNilou Laboratory, Tehran, Iran.
Saloomeh AmidiNilou Laboratory, Tehran, Iran.
Homayoun RazaviNilou Laboratory, Tehran, Iran.
Soudeh Ghafouri-FardDepartment of Medical Genetics, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0223-499X
National Iranian Oil Company (Iran) · IRShahid Beheshti University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

Medical School of Shahid Beheshti University of Medical Sciences
6 · The paper itself

Abstract

backgroundNowadays, neonatal screening has become an essential part of routine newborn care in the world. This is a non-invasive evaluation that evaluated inborn errors of metabolisms (IEMs) using tandem mass spectrometry (LC-MS/MS) for the evaluation of the baby's risk of certain metabolic disorders.

methodsThis retrospective study was conducted on 39987 Iranian newborns who were referred to Nilou Medical Laboratory, Tehran, Iran, for newborn screening programs of IEMs. We incorporated second-tier tests and secondary biomarkers to improve positive predictive value (PPV).

resultsStatistical data were recorded via call interviewing in 6-8 months after their screening tests. The overall prevalence of IEM was 1:975. The mean age of all participants was 3.9 ± 1.1 days; 5.1% of participants were over 13 days and 7.7% were preterm or underweight. A total of 11384 (29.4%) of the cases were born in a consanguineous family. The type of delivery was the cesarean section in 8332 (51.3%) valid cases. The neonatal screening results had an overall negative predictive value (NPV) of 100% and the overall PPV of 40.2%. The false-positive rate was 0.15%.

conclusionThis study showed a high incidence of metabolic disease due to a high rate of consanguineous marriages in Iran and indicated that incorporation of second-tier tests and secondary biomarkers improves PPV of neonatal screening programs.

Indexed as

Metabolic DiseasesMetabolism, Inborn ErrorsBiomarkersCesarean SectionChromatography, LiquidFemaleHumansInfant, NewbornIranNeonatal ScreeningPredictive Value of TestsPregnancyRetrospective StudiesTandem Mass SpectrometryBiomarkersmass spectrometryneonatal screeningsecond-tier biomarkers

Identifiers

PMID35500172
PMCPMC9279966
OpenAlexW4225276485

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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.