Evidence map›Paper›PMID 33445832›Full record

ArticleClinical and experimental pediatrics2021

Cohort profile: National Investigation of Birth Cohort in Korea study 2008 (NICKs-2008).

Ju Hee Kim, Jung Eun Lee, So Min Shim, Eun Kyo Ha, Dong Keon Yon, Ok Hyang Kim, Ji Hyeon Baek, Hyun Yong Koh, Kyu Young Chae, Seung Won Lee and 1 more

Abstract read
In one paragraph

Article in Clinical and experimental pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 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

11 authors.

Ju Hee KimDepartment of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.
Jung Eun LeeDepartment of Data Science, Sejong University College of Software Convergence, Seoul, Korea.
So Min ShimDepartment of Data Science, Sejong University College of Software Convergence, Seoul, Korea.
Eun Kyo HaDepartment of Pediatrics, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
Dong Keon YonDepartment of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.
Ok Hyang KimDepartment of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.
Ji Hyeon BaekDepartment of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.
Hyun Yong KohF.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Kyu Young ChaeDepartment of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.
Seung Won LeeDepartment of Data Science, Sejong University College of Software Convergence, Seoul, Korea.
Man Yong HanDepartment of Pediatrics, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea.

Funding

Ministry of Science and ICTNational Research Foundation of Korea 2016M3A9E894 1108National Research Foundation of Korea NRF2019R1G1A109977912National Research Foundation of Korea NRF2020R1F1A1076452
6 · The paper itself

Abstract

backgroundAn adequate large-scale pediatric cohort based on nationwide administrative data is lacking in Korea. PURPOSE: This study established the National Investigation of Birth Cohort in Korea study 2008 (NICKs-2008) based on data from a nationwide population-based health screening program and data on healthcare utilization for children.

methodsThe NICKs-2008 study consisted of the Korean National Health Insurance System (NHIS) and the National Health Screening Program for Infants and Children (NHSPIC) databases comprising children born in 2008 (n=469,248) and 2009 (n=448,459) in the Republic of Korea. The NHIS database contains data on age, sex, residential area, income, healthcare utilization (International Classification of Diseases-10 codes, procedure codes, and drug classification codes), and healthcare providers. The NHSPIC consists of 7 screening rounds. These screening sessions comprised physical examination, developmental screening (rounds 2-7), a general health questionnaire, and age-specific anticipatory guidance.

resultsDuring the 10-year follow-up, 2,718 children (0.3%) died, including more boys than girls (hazard ratio, 1.145; P<0.001). A total of 848,048 children participated in at least 1 of the 7 rounds of the NHSPIC, while 96,046 participated in all 7 screening programs. A total of 823 infants (0.1%) weighed less than 1,000 g, 3,177 (0.4%) weighed 1,000-1,499 g, 37,166 (4.4%) weighed 1,500-2,499 g, 773,081 (91.4%) weighed 2,500-4,000 g, and 32,016 (5.1%) weighed over 4,000 g. There were 23,404 premature babies (5.5%) in 2008 compared to 23,368 (5.6%) in 2009. The developmental screening test indicated appropriate development in 95%-98% of children, follow-up requirements for 1%-4% of children, and recommendations for further evaluation for 1% of children.

conclusionThe NICKs-2008, which integrates data from the NHIS and NHSPIC databases, can be used to analyze disease onset prior to hospitalization based on information such as lifestyle, eating habits, and risk factors.

Indexed as

ChildCohort profileHealth screeningInfantNational cohort

Identifiers

PMID33445832
PMCPMC8426098

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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.