Evidence map›Paper›PMID 33619138›Full record

ArticleBMJ case reports2021

Large adrenal mass heralding the diagnosis of occult extra-adrenal malignancy in two patients.

James Anderton, Marios Ghobrial, Vasilis Kosmoliaptsis, Ruth Casey

Open access · greenAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

James AndertonDepartment of Surgery, University of Cambridge, Cambridge, UK jra54@cam.ac.uk.ORCID http://orcid.org/0000-0002-8755-3382
Marios GhobrialDepartment of Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Vasilis KosmoliaptsisDepartment of Surgery, University of Cambridge, Cambridge, UK.
Ruth CaseyDepartment of Endocrinology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
Cambridge University Hospitals NHS Foundation Trust · GBUniversity of Cambridge · GB

Funding

Department of Health PDF-2016-09-065
6 · The paper itself

Abstract

We report two cases highlighting the role of fluorine-18-fluorodeoxyglucose positron emission tomography/computerised tomography (18F FDG PET/CT) in the diagnostic and preoperative workup of indeterminate adrenal masses. Case 1: a 60-year-old man was diagnosed with a large left-sided adrenal mass with indeterminate radiological characteristics on CT. Biochemical investigations ruled out tumour hypersecretion. 18F FDG PET/CT was performed to exclude metastases and identified a pulmonary nodule in the left upper lobe. Histology of the resected adrenal tumour demonstrated a secondary metastasis from an adenocarcinoma of the lung. Case 2: an 88-year-old male was found to have a heterogeneous and vascular left-sided suprarenal mass and a smaller right-sided adrenal nodule. Both adrenal nodules had indeterminate radiological characteristics. Biochemical investigations were negative. PET/CT demonstrated high avidity in the bilateral adrenal nodules but no extra-adrenal FDG avid disease. Histology demonstrated a metastatic carcinoma of pulmonary origin.

Indexed as

Adrenal Gland NeoplasmsLung NeoplasmsAged, 80 and overFluorodeoxyglucose F18HumansMaleMiddle AgedPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticalsadrenal disorderslung cancer (oncology)radiology

Identifiers

PMID33619138
PMCPMC7903075
OpenAlexW3133403763

What OpenQuestion holds

Textmetadata
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.