Evidence map›Paper›PMID 31206530›Full record

ArticlePloS one2019

Factors associated with potentially serious incidental findings and with serious final diagnoses on multi-modal imaging in the UK Biobank Imaging Study: A prospective cohort study.

Lorna M Gibson, John Nolan, Thomas J Littlejohns, Edouard Mathieu, Steve Garratt, Nicola Doherty, Steffen Petersen, Nicholas C W Harvey, Jonathan Sellors, Naomi E Allen and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  6. Prevalence of incidental brain MRI findings of clinical relevance in a diverse Hispanic/Latino population.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2021
    Article
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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 6 institutions in 1 country.

Lorna M GibsonUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-3954-0576
John NolanUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Thomas J LittlejohnsClinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-1177-6923
Edouard MathieuNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Steve GarrattUK Biobank Co-ordinating Centre, UK Biobank, Stockport, United Kingdom.
Nicola DohertyUK Biobank Co-ordinating Centre, UK Biobank, Stockport, United Kingdom.
Steffen PetersenWilliam Harvey Research Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0003-4622-5160
Nicholas C W HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom.ORCID 0000-0002-8194-2512
Jonathan SellorsClinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, United Kingdom.
Naomi E AllenClinical Trial Service Unit and Epidemiological Studies Unit, University of Oxford, Oxford, United Kingdom.
Joanna M WardlawUK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-9812-6642
Caroline A JacksonUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Cathie L M SudlowUsher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-7725-7520
University of Edinburgh · GBUniversity of Oxford · GBUK Biobank · GBMRC Lifecourse Epidemiology Unit · GBQueen Mary University of London · GBUK Dementia Research Institute · GB

Funding

British Heart FoundationDepartment of HealthMedical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827The Dunhill Medical Trust R380R/1114Versus Arthritis 17702Wellcome TrustWellcome Trust 101106/Z/13/ZRWellcome Trust 107190/Z/15/Z
6 · The paper itself

Abstract

backgroundFeedback of potentially serious incidental findings (PSIFs) to imaging research participants generates clinical assessment in most cases. Understanding the factors associated with increased risks of PSIFs and of serious final diagnoses may influence individuals' decisions to participate in imaging research and will inform the design of PSIFs protocols for future research studies. We aimed to determine whether, and to what extent, socio-demographic, lifestyle, other health-related factors and PSIFs protocol are associated with detection of both a PSIF and a final diagnosis of serious disease. METHODS AND

findingsOur cohort consisted of all UK Biobank participants who underwent imaging up to December 2015 (n = 7334, median age 63, 51.9% women). Brain, cardiac and body magnetic resonance, and dual-energy x-ray absorptiometry images from the first 1000 participants were reviewed systematically by radiologists for PSIFs. Thereafter, radiographers flagged concerning images for radiologists' review. We classified final diagnoses as serious or not using data from participant surveys and clinical correspondence from GPs up to six months following imaging (either participant or GP correspondence, or both, were available for 93% of participants with PSIFs). We used binomial logistic regression models to investigate associations between age, sex, ethnicity, socio-economic deprivation, private healthcare use, alcohol intake, diet, physical activity, smoking, body mass index and morbidity, with both PSIFs and serious final diagnoses. Systematic radiologist review generated 13 times more PSIFs than radiographer flagging (179/1000 [17.9%] versus 104/6334 [1.6%]; age- and sex-adjusted OR 13.3 [95% confidence interval (CI) 10.3-17.1] p<0.001) and proportionally fewer serious final diagnoses (21/179 [11.7%]; 33/104 [31.7%]). Risks of both PSIFs and of serious final diagnoses increased with age (sex-adjusted ORs [95% CI] for oldest [67-79 years] versus youngest [44-58 years] participants for PSIFs and serious final diagnoses respectively: 1.59 [1.07-2.38] and 2.79 [0.86 to 9.0] for systematic radiologist review; 1.88 [1.14-3.09] and 2.99 [1.09-8.19] for radiographer flagging). No other factor was significantly associated with either PSIFs or serious final diagnoses. Our study is the largest so far to investigate the factors associated with PSIFs and serious final diagnoses, but despite this, we still may have missed some associations due to sparsity of these outcomes within our cohort and small numbers within some exposure categories.

conclusionRisks of PSIFs and serious final diagnosis are substantially influenced by PSIFs protocol and to a lesser extent by age. As only 1/5 PSIFs represent serious disease, evidence-based PSIFs protocols are paramount to minimise over-investigation of healthy research participants and diversion of limited health services away from patients in need.

Indexed as

AdultAlcohol DrinkingBiological Specimen BanksBody Mass IndexExerciseFemaleHumansIncidental FindingsLife StyleMaleMiddle AgedMultimodal ImagingProspective StudiesRisk FactorsSmokingUnited Kingdom

Identifiers

PMID31206530
PMCPMC6576786
OpenAlexW2952903089

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.