Evidence map›Paper›PMID 36494399›Full record

ArticleScientific reports2022

Advanced maternal age and severe maternal morbidity in South Korea: a population-based cohort study.

Juyeong Kim, Jin Young Nam, Eun-Cheol Park

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Metaverse Wearables for Immersive Digital Healthcare: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  10. 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

3 authors at 3 institutions in 1 country.

Juyeong KimDepartment of Public Health, Sahmyook University, Seoul, Republic of Korea.
Jin Young NamDepartment of Healthcare Management, Eulji University, Seongnam, Gyeonggi-do, Republic of Korea. jynam@eulji.ac.kr.
Eun-Cheol ParkDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eulji University · KRSahmyook University · KRYonsei University · KR

Funding

National Research Foundation of Korea 2020R1C1C1013668
6 · The paper itself

Abstract

To investigate the association between maternal age and severe maternal morbidity (SMM) in a Korean population. Data for cases of delivery between 2003 and 2019 were extracted from the Korean National Health Insurance Service-National Delivery Cohort. The main outcome was SMM, which was determined using the Center for Disease Control and Prevention's algorithm. A generalized estimating equation model with a log link was performed for the relationship between SMM and maternal age adjusted for covariates. SMM occurred in 40,959/2,113,615 (1.9%) of delivery cases. Teenagers and women 35 years and older had an increased risk of SMM in both nulliparous and multiparous cases (ages 15-19: risk ratio (RR) 1.32, 95% confidence interval (CI) 1.15-1.46; ages 35-39: RR 1.24, 95% CI 1.21-1.28; ages 40-44: RR 1.57, 95% CI 1.50-1.64; and ages 45 or older: RR 2.07, 95% CI 1.75-2.44). Women aged 40 years and older had the highest rates of SMM. In singleton births as well as in nulliparous and multiparous cases, teenagers and women aged 35 years and older had a particularly high risk of SMM. Identifying and managing risk factors for SMM in these vulnerable age groups may improve maternal health outcomes.

Indexed as

Maternal AgeAdolescentAdultCohort StudiesFemaleHumansMiddle AgedMorbidityParityPregnancyRepublic of KoreaRetrospective StudiesRisk Factors

Identifiers

PMID36494399
PMCPMC9734653
OpenAlexW4311670712

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.