Evidence map›Paper›PMID 22192497›Full record

ArticleBMC pediatrics2011

Post mortem magnetic resonance imaging in the fetus, infant and child: a comparative study with conventional autopsy (MaRIAS Protocol).

Sudhin Thayyil, Neil J Sebire, Lyn S Chitty, Angie Wade, Oystein Olsen, Roxana S Gunny, Amaka Offiah, Dawn E Saunders, Catherine M Owens, W K Kling Chong and 2 more

2 registry-linked trialsOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC pediatrics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 3% 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.

NCT01417962 completednot on this map

Post Mortem Magnetic Resonance Imaging in the Fetus, Infant and Child: A Comparative Study With Conventional Autopsy

TypeobservationalSponsorThayyil, SudhinRan2007 to 2011Enrolled400ConditionsStillbirths, Sudden Infant Death
NCT03877900 completednot on this mapstarted 2019, after this paper: background citation

A Feasibility Study of Virtopsy With Tissue Sampling in Besancon University Hospital

Typeobservational_patient_registrySponsorCentre Hospitalier Universitaire de BesanconRan2019 to 2020Enrolled26ConditionsStillbirth and Fetal Death, Termination of Pregnancy, Neonatal Death
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 93 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Postmortem MRI Characterization of Cadaveric Hypostases in Deceased Newborns.Bulletin of experimental biology and medicine · 2021
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Observational
  18. Performance of post-mortem CT compared to autopsy in children.International journal of legal medicine · 2016
    Article
  19. Article
  20. Review
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

12 authors at 3 institutions in 1 country.

Sudhin ThayyilInstitute for Women's Health, University College London, London, UK. s.thayyil@ucl.ac.uk
Neil J Sebire
Lyn S Chitty
Angie Wade
Oystein Olsen
Roxana S Gunny
Amaka Offiah
Dawn E Saunders
Catherine M Owens
W K Kling Chong
Nicola J Robertson
Andrew M Taylor
University College London · GBGreat Ormond Street Hospital · GBSheffield Children's Hospital · GB

Funding

British Heart Foundation CI/05/010Department of Health NIHR/CS/010/022
6 · The paper itself

Abstract

backgroundMinimally invasive autopsy by post mortem magnetic resonance (MR) imaging has been suggested as an alternative for conventional autopsy in view of the declining consented autopsy rates. However, large prospective studies rigorously evaluating the accuracy of such an approach are lacking. We intend to compare the accuracy of a minimally invasive autopsy approach using post mortem MR imaging with that of conventional autopsy in fetuses, newborns and children for detection of the major pathological abnormalities and/or determination of the cause of death. METHODS/

designWe recruited 400 consecutive fetuses, newborns and children referred for conventional autopsy to one of the two participating hospitals over a three-year period. We acquired whole body post mortem MR imaging using a 1.5 T MR scanner (Avanto, Siemens Medical Solutions, Enlargen, Germany) prior to autopsy. The total scan time varied between 90 to 120 minutes. Each MR image was reported by a team of four specialist radiologists (paediatric neuroradiology, paediatric cardiology, paediatric chest & abdominal imaging and musculoskeletal imaging), blinded to the autopsy data. Conventional autopsy was performed according to the guidelines set down by the Royal College of Pathologists (UK) by experienced paediatric or perinatal pathologists, blinded to the MR data. The MR and autopsy data were recorded using predefined categorical variables by an independent person. DISCUSSION: Using conventional post mortem as the gold standard comparator, the MR images will be assessed for accuracy of the anatomical morphology, associated lesions, clinical usefulness of information and determination of the cause of death. The sensitivities, specificities and predictive values of post mortem MR alone and MR imaging along with other minimally invasive post mortem investigations will be presented for the final diagnosis, broad diagnostic categories and for specific diagnosis of each system. CLINICAL

trial registrationNCT01417962 NIHR PORTFOLIO NUMBER: 6794.

Indexed as

AutopsyCause of DeathChildChild, PreschoolFemaleFetal DiseasesFetusHumansInfantInfant, NewbornMagnetic Resonance ImagingMalePregnancyPrenatal DiagnosisProspective StudiesReproducibility of Results

Identifiers

PMID22192497
PMCPMC3259035
OpenAlexW1990124034

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.