Evidence map›Paper›PMID 34815471›Full record

ArticleScientific reports2021

Ultrasound estimated subcutaneous and visceral adipose tissue thicknesses and risk of pre-eclampsia.

Heidrun Pétursdóttir Maack, Inger Sundström Poromaa, Linda Lindström, Ajlana Mulic-Lutvica, Katja Junus, Anna-Karin Wikström

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

6 authors at 1 institution in 1 country.

Heidrun Pétursdóttir MaackDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden. heidrun.petursdottir_maack@kbh.uu.se.
Inger Sundström PoromaaDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Linda LindströmDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Ajlana Mulic-LutvicaDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Katja JunusDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Anna-Karin WikströmDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of high-risk pregnancies enables identification of those who would benefit from aspirin prophylaxis and increased surveillance for pre-eclampsia. A high body mass index (BMI) is a well-known predictor for pre-eclampsia. However, if abdominal adipose tissue distribution is associated with pre-eclampsia is limited investigated. Subcutaneous adipose tissue (SAT) thickness and visceral adipose tissue (VAT) thickness were measured by ultrasound on 3777 women at around 18 gestational weeks. SAT thickness was measured from the skin to linea alba and VAT from linea alba to the anterior aortic wall. The risk of developing pre-eclampsia (de novo hypertension at ≥ 20 gestational weeks in combination with proteinuria) was evaluated by logistic regression and expressed as odds ratio (OR) with 95% confidence intervals (CI). The risk of pre-eclampsia increased by 79% for every cm in SAT thickness (OR 1.79; 95% CI 1.48-2.17) and by 23% for every cm VAT thickness (OR 1.23; 95% CI 1.11-1.35). After adjustment for maternal age, parity, BMI, smoking and country of birth, the association between SAT thickness and pre-eclampsia remained (AOR 1.35; 95% CI 1.02-1.79). Greater SAT thickness measured with second trimester ultrasound is associated with increased risk of developing pre-eclampsia. The measurement may improve prediction models for pre-eclampsia.

Indexed as

Body Mass IndexAdultBody Fat DistributionFemaleHumansInfant, NewbornIntra-Abdominal FatPre-EclampsiaPregnancyPregnancy Trimester, FirstProspective StudiesRisk AssessmentSubcutaneous FatSwedenUltrasonography

Identifiers

PMID34815471
PMCPMC8611080
OpenAlexW3215397285

What OpenQuestion holds

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Registered trials

None linked

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.