Evidence map›Paper›PMID 31847832›Full record

ArticleBMC medical imaging2019

Inter and intra-reliability of ultrasonography for the measurement of abdominal subcutaneous & visceral adipose tissue thickness at 12 weeks gestation.

Alexandra Cremona, Kevin Hayes, Clodagh S O'Gorman, Ciara Ní Laighin, Khadijah I Ismail, Alan E Donnelly, Jill Hamilton, Amanda Cotter

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 41% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 3 institutions in 3 countries.

Alexandra CremonaGraduate Entry Medical School (GEMS), University of Limerick, Limerick, Ireland. alexandra.cremona@ul.ie.ORCID 0000-0002-4996-1430
Kevin HayesDepartment of Statistics, University College Cork (UCC), Cork, Ireland.
Clodagh S O'GormanGraduate Entry Medical School (GEMS), University of Limerick, Limerick, Ireland.
Ciara Ní LaighinGraduate Entry Medical School (GEMS), University of Limerick, Limerick, Ireland.
Khadijah I IsmailGraduate Entry Medical School (GEMS), University of Limerick, Limerick, Ireland.
Alan E DonnellyHealth Research Institute (HRI), University of Limerick, Limerick, Ireland.
Jill HamiltonThe Hospital for Sick Children, Toronto, Canada.
Amanda CotterGraduate Entry Medical School (GEMS), University of Limerick, Limerick, Ireland.
University of Limerick · IEHospital for Sick Children · CAUniversity College Cork · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExcess abdominal adiposity cause metabolic disturbances, particularly in pregnancy. Methods of accurate measurement are limited in pregnancy due to risks associated with these procedures. This study outlines a non-invasive methodology for the measurement of adipose tissue in pregnancy and determines the intra- and inter-observer reliability of ultrasound (US) measurements of the two components of adipose tissue (subcutaneous (SAT) and visceral adipose tissue (VAT)) within a pregnant population.

methodsThirty pregnant women were recruited at the end of their first trimester, from routine antenatal clinic at the University Maternity Hospital Limerick, Ireland. Measurements of adipose tissue thickness were obtained using a GE Voluson E8 employing a 1-5 MHz curvilinear array transducer. Two observers, employing methodological rigour in US technique, measured thickness of adipose tissue three times, and segmented the US image systematically in order to define measurements of SAT and VAT using specifically pre-defined anatomical landmarks.

resultsIntra-observer and inter-observer precision was assessed using Coefficient of Variation (CV). Measurements of SAT and total adipose for both observers were < 5% CV and < 10% CV for VAT in measures by both observers. Inter-observer reliability was assessed by Limits of Agreement (LoA). LoA were determined to be - 0.45 to 0.46 cm for SAT and - 0.34 to 0.53 cm for VAT values. Systematic bias of SAT measurement was 0.01 cm and 0.10 cm for VAT. Inter-observer precision was also assessed by coefficient of variation (CV: SAT, 3.1%; VAT, 7.2%; Total adipose, 3.0%).

conclusionIntra-observer precision was found to be acceptable for measures of SAT, VAT and total adipose according to anthropometric criterion, with higher precision reported in SAT values than in VAT. Inter-observer reliability assessed by Limits-Of-Agreement (LoA) confirm anthropometrically reliable to 0.5 cm. Systematic bias was minimal for both measures, falling within 95% confidence intervals. These results suggest that US can produce reliable, repeatable and accurate measures of SAT and VAT during pregnancy.

Indexed as

Adipose TissueFemaleGestational AgeHumansIntra-Abdominal FatObserver VariationPregnancyPregnancy Trimester, FirstProspective StudiesRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSubcutaneous FatUltrasonographyAdiposeBody compositionPregnancyReliabilitySubcutaneousTechniqueUltrasoundVisceral

Identifiers

PMID31847832
PMCPMC6916062
OpenAlexW2994935954

What OpenQuestion holds

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LicenceCC BY
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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.