Evidence map›Paper›PMID 31807501›Full record

ArticleAnnals of translational medicine2019

Expectant management of early-onset severe preeclampsia: a principal component analysis.

Yiping Le, Jing Ye, Jianhua Lin

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2019. 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
2.2field-weighted citation impact, top 12% 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, 20 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

3 authors at 1 institution in 1 country.

Yiping LeDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China.
Jing YeDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China.
Jianhua LinDepartment of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China.
Renji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreeclampsia is a multisystem disorder that is characterized by hypertension with either proteinuria or end-organ dysfunction in both previously normotensive women and chronically hypertensive women. To identify the important influencing factors for early-onset severe preeclampsia, this study undertook to explore the associations between preeclampsia characteristics, along with the decreased latency and poor neonatal outcomes during expectant management of severe preeclampsia before 34 weeks of gestation.

methodsA total of 213 patients were retrospectively studied. Pregnancy outcomes in terms of maternal complications and neonatal outcomes were determined. Statistical analysis was performed by principal component analysis, Student's

resultsNeonatal mortality was influenced by gestational age at delivery and birth weight. The main factors that influenced pregnancy outcome were gestational age at diagnosis, the 24-h urine protein level, the plasma albumin level, and hydrothorax plus ascites. When the gestational age at diagnosis was 25 weeks, and 4/7 days, the probability that the pregnancy would be classified into group 2 with 79.3% neonatal survival was almost 50%. Only the plasma albumin level and hydrothorax plus ascites affected prolongation.

conclusionsPlasma albumin level and hydrothorax plus ascites should be considered seriously, as they may be a reason to terminate the expectant management of early-onset severe preeclampsia. Given its unsatisfactory pregnancy outcomes, expectant management should be reconsidered before 25 weeks and 4/7 days.

Indexed as

early-onset severe preeclampsiaExpectant managementpregnancy outcomeprincipal component analysis

Identifiers

PMID31807501
PMCPMC6861742
OpenAlexW2982031798

What OpenQuestion holds

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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.