Evidence map›Paper›PMID 41663536›Full record

ArticleCommunications medicine2026

Risk of congenital malformation in newborns from mothers with kidney diseases in a nationwide cohort study.

Seung Hyun Han, Zio Kim, Subin Jeong, Seungyeon Kim, Jeongin Song, Jeesun Lee, Sehoon Park, Min Hyuk Lim, Joong Shin Park, Hyung-Jin Yoon and 2 more

Abstract read
In one paragraph

Article in Communications medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Seung Hyun Han *Division of Nephrology, Department of Internal Medicine, Inje University Ilsan Paik hospital, Geonggi-do, Korea.
Zio Kim *Department Interdisciplinary Program in Bioengineering, Seoul National University College of Engineering, Seoul, Korea.
Subin JeongDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID http://orcid.org/0009-0004-3269-194X
Seungyeon KimCollege of Pharmacy, Dankook University, Cheonan, Korea.
Jeongin SongDepartment of Internal Medicine, Dongguk University Ilsan Hospital, Gyeonggi-do, Korea.
Jeesun LeeDepartment of Obstetrics and Gynecology, Seoul National University Hospital, Seoul, Korea.
Sehoon ParkDivison of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Min Hyuk LimUlsan National Institute of Science and Technology (UNIST), Graduate School of Health Science and Technology (HST), Ulsan, Korea.ORCID http://orcid.org/0000-0003-1547-2804
Joong Shin ParkDepartment of Obstetrics and Gynecology, Seoul National University Hospital, Seoul, Korea.ORCID http://orcid.org/0000-0002-5246-0477
Hyung-Jin YoonDepartment of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea.
Seung Mi LeeDepartment of Obstetrics and Gynecology & Healthcare AI Research Institute, Seoul National University Hospital, Seoul, Korea. lbsm@snu.ac.kr.ORCID http://orcid.org/0000-0002-2543-0408
Hajeong LeeDivison of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea. mdhjlee9@snu.ac.kr.ORCID http://orcid.org/0000-0002-1873-1587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaternal chronic kidney disease (CKD) is associated with an increased risk of adverse pregnancy outcomes. However, the overall risk of congenital malformations (CMs) in offspring of mothers with kidney disease, including CKD and end-stage kidney disease (ESKD), remains unclear.

methodsIn this nationwide cohort study, we analyzed National Health Insurance Service (NHIS) data from 2,680,092 women who gave birth between 2008 and 2017. Major CMs were identified using the International Classification of Diseases-10 (ICD-10) codes during the first 12 months after birth. A multivariable generalized estimating equation model was used to compare the risk of CMs between women with CKD or ESKD, including those on dialysis and post-kidney transplantation (KT), and healthy controls.

resultsMajor CMs prevalence is 4.79% in offspring of healthy mothers, 5.29% in CKD mothers, and 9.65% in ESKD mothers, with congenital heart defects being the most common anomaly across all groups. After adjustment, mothers with kidney diseases show a higher risk of major CMs than healthy controls (adjusted odds ratio [aOR], 1.07; 95% confidence interval [CI], 1.03-1.11 in CKD; aOR, 1.71; 95% CI, 1.16-2.52 in ESKD, respectively). Among ESKD patients, KT recipients show an increased risk (aOR, 1.65; 95% CI, 1.06-2.59), but dialysis patients do not reach statistical significance (aOR, 2.02; 95% CI, 0.92-4.41).

conclusionsOur findings suggest that neonates born to mothers with kidney diseases have an increased risk of CMs compared to those born to healthy mothers.

Identifiers

PMID41663536
PMCPMC12996615

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.