Evidence map›Paper›PMID 37644467›Full record

ArticleBMC pregnancy and childbirth2023

Clinical features and prognosis of pregnancy-related renal damage and pregnancy after chronic kidney disease.

Li Fang, Bingbing Shen, Huhai Zhang, Na Yin, Juan Cai, Jun Zhang, Hongwen Zhao

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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  3. 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

7 authors at 3 institutions in 1 country.

Li Fang *Department of Nephrology, First affiliated hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Bingbing Shen *Department of Nephrology, First affiliated hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Huhai ZhangDepartment of Nephrology, First affiliated hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Na YinDepartment of Nephrology, First affiliated hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Juan CaiDepartment of Nephrology, First affiliated hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China.
Jun ZhangDepartment of Nephrology, First affiliated hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China. 736098734@qq.com.
Hongwen ZhaoDepartment of Nephrology, First affiliated hospital, Third Military Medical University (Army Medical University), Chongqing, 400038, China. zhaohw212@126.com.
Army Medical University · CNChongqing University · CNSouthwest Hospital · CN

Funding

Health Service Extension Project of Chongqing, China 2021jstg027
6 · The paper itself

Abstract

objectiveTo explore the clinical features of renal damage related to pregnancy and pregnancy after chronic kidney disease (CKD), providing clinical evidence for the relationship between renal damage and pregnancy.

methodsA retrospective analysis was performed on patients admitted to our hospital between March 2013 and February 2021 who had both pregnancy and kidney damage. The study collected pathology results from renal biopsies, 24-hour urinary protein quantity, albumin (Alb), serum creatinine (Scr), blood lipids, coagulation function, blood routine, and other indicators during and after pregnancy.

resultsThis study included 82 cases, with 48 cases in the pregnancy-related renal damage group. Thirty-four cases were in the post-CKD pregnancy group. Of the patients, 30 cases (88.24%) had CKD stage 1-2. Results showed better pregnancy and fetal outcomes in the post-CKD pregnancy group compared to the pregnancy-related renal damage group (Ρ was 0.029 and 0.036, respectively). Renal biopsy pathology revealed that 16 cases (33.33%) in the pregnancy-related renal damage group mainly had focal segmental glomerulosclerosis (FSGS), while the post-CKD pregnancy group was dominated by 14 cases (43.75%) of IgA nephropathy. The first blood test indicators revealed that the pregnancy-related renal damage group had lower estimated glomerular filtration (eGFR) and Alb levels compared to the post-CKD pregnancy group (Ρ was 0.003 and 0.000, respectively). Additionally, 24-hour urinary protein quantity, total cholesterol (Tch), triglyceride (TG), and platelet (PLT) counts were higher in the pregnancy-related renal damage group compared to the post-CKD pregnancy group (Ρ was 0.005, 0.001, 0.008, and 0.031, respectively). The abnormal rate of Scr during pregnancy was 41.67% (20/48) in the pregnancy-related renal damage group and 17.39% (4/23) in the post-CKD pregnancy group, with a statistically significant difference (Ρ was 0.043).

conclusionThe pregnancy-related renal damage group is mainly associated with FSGS, while the post-CKD pregnancy group is characterized by IgA nephropathy. Patients with CKD1-2 can have a successful pregnancy after achieving good control of eGFR, albumin, 24-hour urinary protein quantity and other indicators, resulting in better pregnancy and fetal outcomes. Abnormal Scr levels during pregnancy of pregnancy-related renal damage can be improved within 3 months after delivery.

Indexed as

Glomerulonephritis, IGAGlomerulosclerosis, Focal SegmentalRenal Insufficiency, ChronicAlbuminsFemaleHumansKidneyPregnancyPrognosisRetrospective StudiesAlbuminsChronic kidney diseasePathologyPregnancyRenal biopsyRenal damage

Identifiers

PMID37644467
PMCPMC10466819
OpenAlexW4386255602

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.