Evidence map›Paper›PMID 38352185›Full record

ArticleBJR open2024

Body weight-based iodinated contrast immersion timing for human fetal postmortem microfocus computed tomography.

Ian C Simcock, Susan C Shelmerdine, John Ciaran Hutchinson, Neil J Sebire, Owen J Arthurs

Open access · goldAbstract read
In one paragraph

Article in BJR open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Ian C SimcockDepartment of Clinical Radiology, Great Ormond Street Hospital for Children, London WC1N 3JH, United Kingdom.ORCID https://orcid.org/0000-0002-5619-0785
Susan C ShelmerdineDepartment of Clinical Radiology, Great Ormond Street Hospital for Children, London WC1N 3JH, United Kingdom.ORCID https://orcid.org/0000-0001-6642-9967
John Ciaran HutchinsonNIHR Great Ormond Street Hospital Biomedical Research Centre, London WC1N 1EH, United Kingdom.
Neil J SebireUCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London WC1N 1EH, United Kingdom.ORCID https://orcid.org/0000-0001-5348-9063
Owen J ArthursDepartment of Clinical Radiology, Great Ormond Street Hospital for Children, London WC1N 3JH, United Kingdom.ORCID https://orcid.org/0000-0003-1213-3516
Great Ormond Street Hospital · GB

Funding

Medical Research Council MR/R002118/1
6 · The paper itself

Abstract

Objectives: The aim of this study was to evaluate the length of time required to achieve full iodination using potassium tri-iodide as a contrast agent, prior to human fetal postmortem microfocus computed tomography (micro-CT) imaging. Methods: Prospective assessment of optimal contrast iodination was conducted across 157 human fetuses (postmortem weight range 2-298 g; gestational age range 12-37 weeks), following micro-CT imaging. Simple linear regression was conducted to analyse which fetal demographic factors could produce the most accurate estimate for optimal iodination time. Results: Postmortem body weight ( Conclusions: The simplified equation can now be used to provide estimation times for fetal contrast preparation time prior to micro-CT imaging and can be used to manage service throughput and parental expectation for return of their fetus. Advances in knowledge: A simple equation from empirical data can now be used to estimate preparation time for human fetal postmortem micro-CT imaging.

Indexed as

fetalimmersion timemicro-CTpotassium tri-iodide

Identifiers

PMID38352185
PMCPMC10860501
OpenAlexW4390768297

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.