Evidence map›Paper›PMID 27733023›Full record

ArticleThe Korean journal of internal medicine2017

Impact of random urine proteinuria on maternal and fetal outcomes of pregnancy: a retrospective case-control study.

Eun Hui Bae, Jong Woon Kim, Hong Sang Choi, Seong Kwon Ma, Soo Wan Kim

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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

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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

4 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Eun Hui BaeDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Jong Woon KimDepartment of Obsterics, Chonnam National University Medical School, Gwangju, Korea.
Hong Sang ChoiDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Seong Kwon MaDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Soo Wan KimDepartment of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea.
Chonnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsProteinuria is associated with hypertension and preeclampsia in pregnancy. However, the impact of random urine proteinuria on fetal and maternal outcomes has not been established. We investigated the influence of random urine proteinuria on the clinical outcomes of pregnancy.

methodsFrom January 2008 to December 2010, 2,822 patients were retrospectively studied. A total of 536 pregnant women with proteinuria in random urine and matched controls without proteinuria via propensity score matching were analyzed. Proteinuria was checked by the dipstick method.

resultsThe patients' mean age was 33.0 ± 4.7 years, and the mean gestational age was 235.6 ± 50.6 days on admission. The prevalence of hypertension and chronic kidney disease was 2.4% (n = 67) and 1.0% (n = 29), respectively. Women with random urine proteinuria showed higher blood urea nitrogen levels and a higher incidence of hematuria. These women also had a higher incidence of preeclampsia, preterm labor, premature rupture of membranes, and intrauterine growth restriction. Proteinuria was strongly correlated with preeclampsia in both propensity score matching (p < 0.001, r = 0.783) and unmatched whole samples (p < 0.001, r = 0.851).

conclusionsThese findings suggest that random urine proteinuria is associated with preeclampsia, preterm labor, premature rupture of membrane, and intrauterine growth restriction.

Indexed as

AdultFemaleHumansPregnancyPregnancy ComplicationsPregnancy OutcomeProteinuriaRepublic of KoreaRetrospective StudiesDipstickObstetric labor, prematurePre-eclampsiaProteinuriaRandom urine

Identifiers

PMID27733023
PMCPMC5668390
OpenAlexW2531251937

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LicenceCC BY-NC
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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.