Evidence map›Paper›PMID 33643948›Full record

ArticleIranian journal of public health2020

Preeclampsia Mediates the Association between Advanced Maternal Age and Adverse Pregnancy Outcomes: A Structural Equation Modeling Approach.

Nawsherwan, Sumaira Mubarik, Ghulam Nabi, Suqing Wang, Cuifang Fan

Open access · goldAbstract read
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Article in Iranian journal of public health, 2020. 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
0.2field-weighted citation impact, top 40% 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

4 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

5 authors at 2 institutions in 1 country.

NawsherwanDepartment of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, Hubei, China.
Sumaira MubarikDepartment of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, Hubei, China.
Ghulam NabiKey Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Sciences, Hebei Normal University, Shijiazhuang, China.
Suqing WangDepartment of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, Hubei, China.
Cuifang FanDepartment of Obstetrics and Gynecology, Renmin Hospital, Wuhan University, Wuhan, Hubei, China.
Wuhan University · CNHebei Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvanced maternal age (AMA) is considered a risk factor associated with preeclampsia and adverse pregnancy outcomes. We aimed to assess the mediating role of preeclampsia between AMA and adverse pregnancy outcomes.

methodsA sample of 14646 pregnant women from the tertiary hospital of Hubei Province, China, during the years 2011-2017 were included in this study. Pregnant women were divided into 4 groups according to their age at delivery. Mediated effect of preeclampsia with relation to AMA and adverse pregnancy outcomes was measured using structural equation modeling.

resultsWomen in the highest age group were significantly associated with preterm delivery [RR 1.37 (95% CI 1.24 - 1.49)] and low birth weight [RR 1.28 (95% CI 1.11 - 1.45)] compared with women in the lowest age group. The indirect effect (mediated effect) of AMA on preterm delivery and low birth weight mediated by preeclampsia was [β 0.053 (95% CI: 0.047, 0.060)], and [β 0.045 (95% CI: 0.038, 0.052)], respectively. The estimated mediation proportion of the effect of AMA due to mediated effect of preeclampsia was (35.5%) for pre-term delivery and (23.5%) for low birth weight.

conclusionPreeclampsia partially mediates the association between AMA and adverse pregnancy outcomes.

Indexed as

Advanced maternal ageAdverse pregnancy outcomesPreeclampsiaStructural equation modeling

Identifiers

PMID33643948
PMCPMC7898110
OpenAlexW3083431195

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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.