Evidence map›Paper›PMID 38599601›Full record

Observational studyJournal of Korean medical science2024

Association Between Individual Air Pollution (PM

Tae Gyu Ahn, Young Ju Kim, Gain Lee, Young-Ah You, Soo Min Kim, Rin Chae, Young Min Hur, Mi Hye Park, Jin-Gon Bae, Soo-Jeong Lee and 2 more

Open access · goldAbstract readObservational StudyMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Personal fine particulate matter (PMBMC public health · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. 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

12 authors at 4 institutions in 2 countries.

Tae Gyu Ahn *Department of Obstetrics and Gynecology, Kangwon National University School of Medicine, Chuncheon, Korea.ORCID https://orcid.org/0000-0002-5519-0572
Young Ju Kim *Department of Obstetrics and Gynecology, Ewha Womans University Mokdong Hospital, Ewha Medical Research Institute College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-3153-3008
Gain LeeGraduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0002-4305-1321
Young-Ah YouDepartment of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0001-6714-7144
Soo Min KimGraduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0001-9504-8629
Rin ChaeDivision of Artificial Intelligence and Software/Artificial Intelligence Convergence, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0009-0006-5637-8610
Young Min HurDepartment of Obstetrics and Gynecology, College of Medicine, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0000-0001-6541-8385
Mi Hye ParkDepartment of Obstetrics and Gynecology, Ewha Womans University Seoul Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-7205-0731
Jin-Gon BaeDepartment of Obstetrics and Gynecology, School of Medicine, Keimyung University, Dongsan Medical Center, Daegu, Korea.ORCID https://orcid.org/0000-0001-6127-162X
Soo-Jeong LeeDepartment of Obstetrics and Gynecology, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan, Korea.ORCID https://orcid.org/0000-0001-9272-6770
Young-Han KimDepartment of Obstetrics and Gynecology, Severance Hospital, Institute of Women's Life Medical Science, Yonsei University College of Medicine, Seoul, Korea. YHKIM522@yuhs.ac.ORCID https://orcid.org/0000-0003-0645-6028
Sunghun NaDepartment of Obstetrics and Gynecology, Kangwon National University School of Medicine, Chuncheon, Korea. lahun@kangwon.ac.kr.ORCID https://orcid.org/0000-0002-2803-8356
Ewha Womans University · KRKangwon National University · KRKeimyung University Dongsan Medical Center · KRUlsan College · KR

Funding

Korea National Institute of Health 2021-ER120801Korea National Institute of Health 2021-ER1208-02Ministry of Science and ICT, South Korea RS 2022 00155966Ministry of Trade, Industry and EnergyNational Research Foundation of Korea NRF-5199990614253
6 · The paper itself

Abstract

backgroundPrenatal exposure to ambient air pollution is linked to a higher risk of unfavorable pregnancy outcomes. However, the association between pregnancy complications and exposure to indoor air pollution remains unclear. The Air Pollution on Pregnancy Outcomes research is a hospital-based prospective cohort research created to look into the effects of aerodynamically exposed particulate matter (PM)

methodsThis prospective multicenter observational cohort study was conducted from January 2021 to June 2023. A total of 662 women with singleton pregnancies enrolled in this study. An AirguardK® air sensor was installed inside the homes of the participants to measure the individual PM

resultsExposure to elevated levels of PM

conclusionExposure to high concentrations of PM

Indexed as

Air PollutantsAir PollutionDiabetes, GestationalPregnancy ComplicationsPremature BirthChinaFemaleHumansInfant, NewbornParticulate MatterPregnancyPregnancy OutcomeProspective StudiesRepublic of KoreaAir PollutantsParticulate MatterAdverse Pregnancy OutcomesAir PollutionPMPregnancy

Identifiers

PMID38599601
PMCPMC11004777
OpenAlexW4393954092

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.