Evidence map›Paper›PMID 29215646›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2018

Follow-up status during the first 5 years of life for metabolic disorders on the federal Recommended Uniform Screening Panel.

Lisa Feuchtbaum, Juan Yang, Robert Currier

Abstract read
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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

3 authors.

Lisa FeuchtbaumGenetic Disease Screening Program, California Department of Public Health, Richmond, California, USA. Lisa.Feuchtbaum@cdph.ca.gov.
Juan YangGenetic Disease Screening Program, California Department of Public Health, Richmond, California, USA.
Robert CurrierGenetic Disease Screening Program, California Department of Public Health, Richmond, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the 5-year follow-up status for newborns diagnosed with metabolic disorders designated as "primary disorders" on the federal Recommended Uniform Screening Panel (RUSP).

methodsFollow-up status and demographic characteristics are described for 426 newborns diagnosed with one of 20 primary metabolic disorders on the RUSP between 2005 and 2009. Newborn screening program data were linked to birth certificate data. Follow-up status is described for each year through age 5 and by disorder type. Maternal characteristics of those who stayed in active care were compared with those who did not.

resultsOf 426 diagnosed newborns, by the end of 5 years of follow-up 55.2% stayed in active care, 20.4% became lost to follow-up, 8.7% moved out of state, 6.3% were determined to require no further follow-up, 4.7% refused follow-up, and 4.7% died. Among the initial group of disorders with more than 10 diagnosed cases, phenylketonuria (90%) had the highest percentage of patients still in active care after 5 years. Patients in active care had similar characteristics to patients not in active care when maternal age, race/ethnicity, completed education years, and expected source of payment for delivery were compared.

conclusionStaying in active care may associate with disorder type but not maternal characteristics.

Indexed as

AdultChild, PreschoolEthnicityFemaleFollow-Up StudiesHumansInfantInfant, NewbornMaleMaternal AgeMaternal BehaviorMetabolic DiseasesNeonatal ScreeningPhenylketonuriasRacial Groupslong-term follow-upmetabolic disordersnewborn screeningoutcomesRecommended Uniform Screening Panel

Identifiers

PMID29215646

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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.