Evidence map›Paper›PMID 39112568›Full record

ArticlePediatric radiology2024

Fetal and neonatal post-mortem imaging referral template: recommendations from the European Society of Paediatric Radiology Post-mortem Task Force.

Aurélie D'Hondt, Susan Shelmerdine, Owen Arthurs, ESPR Post-mortem Task Force, collaborators

Abstract readConsensus Statement
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

4 authors.

Aurélie D'HondtDepartment of Diagnostic Imaging, The Hospital for Sick Children, 170 Elizabeth Street, Toronto, ON, M5G1E8, Canada. aurelie.dhondt@outlook.com.ORCID http://orcid.org/0000-0003-0158-7678
Susan ShelmerdineDepartment of Clinical Radiology, Great Ormond Street Hospital for Children, London, UK.ORCID http://orcid.org/0000-0001-6642-9967
Owen ArthursDepartment of Clinical Radiology, Great Ormond Street Hospital for Children, London, UK.ORCID http://orcid.org/0000-0003-1213-3516
ESPR Post-mortem Task Force, collaborators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn post-mortem (PM) fetal and neonatal imaging, relevant clinical information is crucial for accurate interpretation and diagnosis; however, it is usually incomplete.

objectiveTo propose a standardized template for PM fetal and neonatal imaging referrals to enhance communication between referring clinicians and reporting radiologists. MATERIALS AND

methodsA modified Delphi approach was conducted amongst members of the European Society of Paediatric Radiology (ESPR) PM Task Force and other recommended PM imaging specialists worldwide to determine consensus on necessary information. These were based on three pre-existing referral templates already in use across a variety of centers. The study ran for 4 months (December 2023-April 2024).

resultsNineteen specialists from 17 centers worldwide formed our expert panel. The final agreed referral template information includes the patient's identification details (mother and fetus when available), fetal/neonatal information (gestational age, sex, type of demise (including type of termination of pregnancy (i.e., surgical or medical)), date and time of fetal demise (+ delivery) or neonatal death, singleton/multiple pregnancy, clinical information (obstetrical history, prenatal imaging findings, amniocentesis findings, physical external examination findings), provisional clinical diagnosis, and ordering physician's information.

conclusionA comprehensive referral template has been created, representing expert consensus on the minimum data required for the conduct of quality PM fetal and neonatal imaging, with the goal of facilitating accuracy of image interpretation.

Indexed as

AutopsyDelphi TechniqueReferral and ConsultationAdvisory CommitteesEuropeFemaleFetal DeathFetusHumansInfant, NewbornPediatricsPostmortem ImagingPregnancySocieties, MedicalCommunicationConsensusPerinatal deathPost-mortem imaging

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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.