Evidence map›Paper›PMID 35835813›Full record

ArticleScientific reports2022

Tissue volume estimation and age prediction using rapid structural brain scans.

Harriet Hobday, James H Cole, Ryan A Stanyard, Richard E Daws, Vincent Giampietro, Owen O'Daly, Robert Leech, František Váša

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Trial
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  5. Observational
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  14. A Deep Learning Approach to Predict Chronological Age.Healthcare (Basel, Switzerland) · 2023
    Article
  15. Article
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.

Harriet HobdayDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
James H ColeDepartment of Computer Science, Centre for Medical Image Computing, University College London, London, UK.
Ryan A StanyardDepartment of Forensic and Developmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Richard E DawsDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Vincent GiampietroDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Owen O'DalyDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Robert LeechDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
František VášaDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. frantisek.vasa@kcl.ac.uk.

Funding

Department of Health NNA08Medical Research Council MR/R024790/2Wellcome TrustWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

The multicontrast EPImix sequence generates six contrasts, including a T

Indexed as

Magnetic Resonance ImagingNeuroimagingBrainGray MatterHumansReproducibility of Results

Identifiers

PMID35835813
PMCPMC9283414

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.