Evidence map›Paper›PMID 37928705›Full record

ArticleBJR case reports2023

First-in-human in-vivo depiction of paraganglioma metabolism by hyperpolarised

Rafat Chowdhury, Myuri Moorthy, Lorna Smith, Christoph A Mueller, Fiona Gong, Harriet J Rogers, Marianthi-Vasiliki Papoutsaki, Tom Syer, Giorgio Brembilla, Saurabh Singh and 16 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in BJR case reports, 2023. 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
–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

0 citing papers in PubMed.

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

26 authors.

Rafat ChowdhuryCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Myuri MoorthyDepartment of Endocrinology, University College London Hospital, London, UK.
Lorna SmithCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Christoph A Mueller
Fiona GongCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Harriet J RogersCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Marianthi-Vasiliki PapoutsakiCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Tom SyerCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Giorgio BrembillaCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Saurabh SinghCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Adam RetterCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Thomas ParryCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Joey ClementeCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Lucy CaseltonCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Hassan JerajCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Max BullockCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Manju MathewCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
Teng Teng ChungDepartment of Endocrinology, University College London Hospital, London, UK.
Scott AkkerDepartment of Endocrinology, St Bartholomew's Hospital, London, UK.
Paul ChappleWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Grace A SalsburyDepartment of Endocrinology, University College London Hospital, London, UK.
Alan BainbridgeDepartment of Medical Physics and Biomedical Engineering, University College London Hospitals NHS Foundation Trust, London, UK.
David AtkinsonCentre for Medical Imaging, Division of Medicine, University College London, London, UK.
David G GadianUCL Great Ormond Street Institute of Child Health, London, UK.
Umasuthan SrirangalingamDepartment of Endocrinology, University College London Hospital, London, UK.
Shonit Punwani

Funding

Cancer Research UK 26854Medical Research Council MR/M009092/1
6 · The paper itself

Abstract

Phaeochromocytomas (PCC) and paragangliomas (PGL), cumulatively referred to as PPGLs, are neuroendocrine tumours arising from neural crest-derived cells in the sympathetic and parasympathetic nervous systems. Predicting future tumour behaviour and the likelihood of metastatic disease remains problematic as genotype-phenotype correlations are limited, the disease has variable penetrance and, to date, no reliable molecular, cellular or histological markers have emerged. Tumour metabolism quantification can be considered as a method to delineating tumour aggressiveness by utilising hyperpolarised

Identifiers

PMID37928705
PMCPMC10621573

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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.