Evidence map›Paper›PMID 38538689›Full record

ArticleScientific reports2024

Development of a formula for estimated glomerular filtration rate in pregnant women from physiological hyperfiltration of serum creatinine.

Kwangjin Ahn, Taesic Lee, Jieun Kang, Seong Jin Choi, Sangwon Hwang, Dong Min Seo, Jooyoung Cho, Young Uh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Kwangjin Ahn *Department of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju-si, Republic of Korea.
Taesic Lee *Department of Family Medicine, Yonsei University Wonju College of Medicine, Wonju-si, Republic of Korea.
Jieun KangDepartment of Obstetrics and Gynecology, Yonsei University Wonju College of Medicine, Wonju-si, Republic of Korea.
Seong Jin ChoiDepartment of Obstetrics and Gynecology, Yonsei University Wonju College of Medicine, Wonju-si, Republic of Korea.
Sangwon HwangDepartment of Precision Medicine, Yonsei University Wonju College of Medicine, Wonju-si, Republic of Korea.
Dong Min SeoDepartment of Medical Information, Yonsei University Wonju College of Medicine, Wonju-si, Republic of Korea.
Jooyoung ChoDepartment of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju-si, Republic of Korea.
Young UhDepartment of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju-si, Republic of Korea. u931018@yonsei.ac.kr.ORCID 0000-0002-2879-7870
Yonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased body fluids during pregnancy complicates the application of estimated glomerular filtration rate (eGFR) formulas that are based on body surface area. Furthermore, gestational renal dysfunction cannot be identified if the serum creatinine (SCr) concentration is within the non-pregnant reference interval (RI) despite inadequate pregnancy-related renal hyperfiltration. 1484 SCr measurements from 957 healthy pregnant women were collected. The average SCr value of gestational week (GW) 0-3 was the representative SCr value of non-pregnant status. While the distribution of SCr measurements varied across GWs, it was transformed into a normal distribution using the bootstrap resampling method. A polynomial linear regression method was applied to achieve a continuous and smooth transformation of values. The normally distributed SCr values of each GW were compared to the non-pregnant status, leading to the calculation of SCr hyperfiltration. The final equation, (2 - SCr (μmol/L)

Indexed as

Kidney DiseasesPregnant PeopleCreatinineFemaleGlomerular Filtration RateHumansKidneyPregnancyCreatinine

Identifiers

PMID38538689
PMCPMC10973345
OpenAlexW4393231937

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.