Evidence map›Paper›PMID 37052690›Full record

ArticlePediatric nephrology (Berlin, Germany)2023

Maternal risk factors in offspring with congenital anomalies of the kidney and urinary tract in Asian women.

Nai-Wen Fang, Yu-Shan Huang, Chun-Hao Yin, Jin-Shuen Chen, Yee-Hsuan Chiou

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Article in Pediatric nephrology (Berlin, Germany), 2023. 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
5.8field-weighted citation impact, top 4% 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, 10 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

5 authors at 2 institutions in 1 country.

Nai-Wen FangDivision of Pediatric Nephrology, Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Yu-Shan HuangDivision of Pediatric Nephrology, Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Chun-Hao YinDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Jin-Shuen ChenDepartment of Administration, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.
Yee-Hsuan ChiouDivision of Pediatric Nephrology, Department of Pediatrics, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan. ychiou@gmail.com.
Kaohsiung Veterans General Hospital · TWNational Defense Medical Center · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongenital anomalies of the kidney and urinary tract (CAKUT) are the primary cause of pediatric chronic kidney disease. Maternal body mass index (BMI) before pregnancy, pregestational diabetic mellitus (DM), and gestational diabetic mellitus (GDM) are potential modifiable risk factors for CAKUT in offspring.

methodsIn this case control study, 4619 neonates were enrolled during 2012-2020 from Kaohsiung Veterans General Hospital in Taiwan. Maternal risk factors before and during pregnancy were compared in children with and without CAKUT. The yearly incidence of CAKUT in offspring and maternal overweight were recorded.

resultsIn total, 73 (1.6%) cases of CAKUT in offspring were identified. Maternal overweight before pregnancy (BMI ≥ 24 kg/m

conclusionsMaternal obesity before pregnancy is associated with CAKUT in offspring and should be addressed to ensure better outcomes. A higher resolution version of the Graphical abstract is available as Supplementary information.

Indexed as

Diabetes MellitusPregnancy in ObesityUrinary TractCase-Control StudiesChildFemaleHumansInfant, NewbornKidneyOverweightPregnancyRisk FactorsUrogenital AbnormalitiesVesico-Ureteral RefluxCongenital anomalies of the kidney and urinary tractMaternal obesity

Identifiers

PMID37052690
OpenAlexW4365442867

What OpenQuestion holds

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Read underepoch 390

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.