Evidence map›Paper›PMID 38476014›Full record

ArticleEpidemiology and health2024

Identifying pregnancy episodes and estimating the last menstrual period using an administrative database in Korea: an application to patients with systemic lupus erythematosus.

Yu-Seon Jung, Yeo-Jin Song, Jihyun Keum, Ju Won Lee, Eun Jin Jang, Soo-Kyung Cho, Yoon-Kyoung Sung, Sun-Young Jung

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Article in Epidemiology and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 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

8 authors at 4 institutions in 1 country.

Yu-Seon JungChung-Ang University College of Pharmacy, Seoul, Korea.
Yeo-Jin SongDepartment of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.
Jihyun KeumDepartment of Obstetrics and Gynecology, Hanyang University College of Medicine, Seoul, Korea.
Ju Won LeeChung-Ang University College of Pharmacy, Seoul, Korea.
Eun Jin JangDepartment of Information Statistics, Andong National University, Andong, Korea.
Soo-Kyung ChoDepartment of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.
Yoon-Kyoung SungDepartment of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.
Sun-Young JungChung-Ang University College of Pharmacy, Seoul, Korea.
Hanyang University Seoul Hospital · KRChung-Ang University · KRGyeongguk National University · KRHanyang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study developed an algorithm for identifying pregnancy episodes and estimating the last menstrual period (LMP) in an administrative claims database and applied it to investigate the use of pregnancy-incompatible immunosuppressants among pregnant women with systemic lupus erythematosus (SLE).

methodsAn algorithm was developed and applied to a nationwide claims database in Korea. Pregnancy episodes were identified using a hierarchy of pregnancy outcomes and clinically plausible periods for subsequent episodes. The LMP was estimated using preterm delivery, sonography, and abortion procedure codes. Otherwise, outcome-specific estimates were applied, assigning a fixed gestational age to the corresponding pregnancy outcome. The algorithm was used to examine the prevalence of pregnancies and utilization of pregnancy-incompatible immunosuppressants (cyclophosphamide [CYC]/mycophenolate mofetil [MMF]/methotrexate [MTX]) and non-steroidal anti-inflammatory drugs (NSAIDs) during pregnancy in SLE patients.

resultsThe pregnancy outcomes identified in SLE patients included live births (67%), stillbirths (2%), and abortions (31%). The LMP was mostly estimated with outcome-specific estimates for full-term births (92.3%) and using sonography procedure codes (54.7%) and preterm delivery diagnosis codes (37.9%) for preterm births. The use of CYC/MMF/MTX decreased from 7.6% during preconception to 0.2% at the end of pregnancy. CYC/MMF/MTX use was observed in 3.6% of women within 3 months preconception and 2.5% during 0-7 weeks of pregnancy.

conclusionsThis study presents the first pregnancy algorithm using a Korean administrative claims database. Although further validation is necessary, this study provides a foundation for evaluating the safety of medications during pregnancy using secondary databases in Korea, especially for rare diseases.

Indexed as

Lupus Erythematosus, SystemicPremature BirthCyclophosphamideFemaleHumansImmunosuppressive AgentsInfant, NewbornMycophenolic AcidPregnancyPregnancy OutcomeRepublic of KoreaCyclophosphamideImmunosuppressive AgentsMycophenolic AcidAdministrative claims healthcareAlgorithmsImmunosuppressive agentsLupus erythematosus systemicPregnancyPregnancy outcome

Identifiers

PMID38476014
PMCPMC11040213
OpenAlexW4390687153

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LicenceCC BY
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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.