Evidence map›Paper›PMID 36443048›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2022

[Clinical Comparative Analysis of Early-Onset Preeclampsia Combined with HELLP Syndrome].

Meng-Fan Chen, Xin-Ning Chen, Zhan-Wei Zhang, Dan-Qing Chen

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Meng-Fan ChenDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Xin-Ning ChenDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Zhan-Wei ZhangDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Dan-Qing ChenDepartment of Obstetrics, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou 310000, China.
Women's Hospital, School of Medicine, Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the clinical characteristics of early-onset preeclampsia (PE) combined with HELLP (hemolysis, elevated liver enzymes, and low platelets) syndrome, and to improve the capacity for early diagnosis and treatment. Methods: Pregnant women who received treatment at Women's Hospital, School of Medicine, Zhejiang University between March 2014 and October 2021 were retrospectively enrolled. There were two patient groups, the HELLP group consisting of 70 cases of early-onset PE combined with HELLP syndrome and the control group consisting of 140 cases of early-onset PE without HELLP syndrome. Patients in the two groups were matched by age. The general clinical data, characteristics of pathogenesis, and laboratory findings of the patients were collected and the perinatal outcomes of the two groups were compared and analyzed. Results: 1) There was no significant difference in gravidity, pre-delivery body mass index, years from the last delivery, and family history of diabetes mellitus and hypertension between the two groups. 2) The highest systolic blood pressure, highest diastolic blood pressure during the pregnancy, and the postpartum hospital length-of-stay ( Conclusion: In comparison with early-onset PE patients without HELLP syndrome, patients with early-onset PE combined with HELLP syndrome are diagnosed for PE at an earlier gestational age, have higher blood pressure, are more prone to serious pregnancy complications, and have longer postpartum hospital length-of-stay and worse neonatal outcomes. Close monitoring of PLT counts of early-onset PE patients in the second trimester may help predict subsequent HELLP syndrome.

Indexed as

HELLP SyndromeHypertensionPre-EclampsiaFemaleHumansInfant, NewbornPlatelet CountPregnancyPregnancy Trimester, SecondRetrospective StudiesEarly-onsetHELLP syndromePreeclampsiaRetrospective analysis

Identifiers

PMID36443048
PMCPMC10408962
OpenAlexW4310461933

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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.