Evidence map›Paper›PMID 36971899›Full record

ReviewPituitary2023

Novel imaging techniques in refractory pituitary adenomas.

J MacFarlane, K A Huynh, A S Powlson, A G Kolias, R J Mannion, D J Scoffings, I A Mendichovszky, H K Cheow, W A Bashari, J Jones and 3 more

Open access · hybridAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Pituitary, 2023. 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
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 4 institutions in 1 country.

J MacFarlaneCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
K A HuynhCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
A S PowlsonCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
A G KoliasDepartment of Neurosurgery, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
R J MannionDepartment of Neurosurgery, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
D J ScoffingsDepartment of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
I A MendichovszkyDepartment of Radiology, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
H K CheowDepartment of Nuclear Medicine, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
W A BashariCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
J JonesDepartment of Radiology, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
D GillettCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
O KoulouriCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.
Mark GurnellCambridge Endocrine Molecular Imaging Group, Metabolic Research Laboratories, Wellcome-MRC Institute of Metabolic Science, University of Cambridge and National Institute for Health Research Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK. mg299@medschl.cam.ac.uk.
Addenbrooke's Hospital · GBUniversity of Cambridge · GBNIHR Cambridge Biomedical Research CentreWellcome/MRC Institute of Metabolic Science · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Accurate localization of the site(s) of active disease is key to informing decision-making in the management of refractory pituitary adenomas when autonomous hormone secretion and/or continued tumor growth challenge conventional therapeutic approaches. In this context, the use of non-standard MR sequences, alternative post-acquisition image processing, or molecular (functional) imaging may provide valuable additional information to inform patient management.

Indexed as

AdenomaPituitary NeoplasmsHumansMagnetic Resonance ImagingMolecular / functional imagingMRIPETRadiomicsRefractory pituitary adenoma

Identifiers

PMID36971899
PMCPMC10333384
OpenAlexW4361017512

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.