Evidence map›Paper›PMID 36582253›Full record

ArticleInternational journal of general medicine2022

Detecting Preeclampsia Severity Using Maternal-Obstetrical Characteristics and Complete Blood Cell Counts.

Hsiao-Wen Lu, Han-Shui Hsu

Open access · goldAbstract read
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Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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, 4 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

2 authors at 1 institution in 1 country.

Hsiao-Wen LuDepartment of Obstetrics and Gynecology, Cardinal Tien Hospital, New Taipei City, Taiwan.ORCID 0000-0003-1357-484X
Han-Shui HsuInstitute of Emergency and Critical Care Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
National Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to use the combination of maternal-obstetrical characteristics (MOCs) and complete blood cell counts (CBCs) with different red blood cell (RBC) indices as an alternative tool to detect preeclampsia (PE) severity immediately before delivery. Patients and Methods: This retrospective study included all singleton pregnancies delivered after 24 weeks of gestation from April 2016 to April 2020. Patients were divided into four different groups: non-hypertensive (NH), gestational hypertension (GH), PE, and severe PE (SPE). Univariate and forward stepwise multivariate logistic regression analysis was conducted using MOCs, CBCs, and RBC indices. The calculation was performed between SPE and other non-hypertensive and hypertensive (GH, PE) groups. Moreover, the area under the curve (AUC) for the receiver operating characteristic curve, sensitivity, and specificity were estimated. Results: The combined variables for differentiating SPE from NH were maternal age >29.5 years, weight >27.24, gestational age <272 days at the time of blood withdrawal, platelet count <217.5×103/μL, Srivastava indices <6.35, and Siradah indices <43.02 (AUC, 0.834; 95% confidence interval [CI], 0.773-0.895). The combined variables for differentiating SPE from GH were maternal age >29.5 years, body mass index >25.28, gestational age <268.5 days at the time of blood withdrawal, mean corpuscular volume <78.85 fL, and platelet count <234.5×103/μL (AUC, 0777; 95% CI, 0.703-0.852). The combined variables for differentiating SPE from PE were maternal age >32.5 years, mean corpuscular hemoglobin concentration >34.55 g/dL, and Siradah indices <40.05 (AUC, 0.745; 95% CI, 0.656-0.833). Conclusion: The combination of selected variables from MOCs and CBCs with RBC indices before delivery showed satisfactory results for detecting PE severity.

Indexed as

complete blood countshypertensionpreeclampsiapreeclampsia severitypregnancy

Identifiers

PMID36582253
PMCPMC9793784
OpenAlexW4312189142

What OpenQuestion holds

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LicenceCC BY-NC
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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.