Evidence map›Paper›PMID 35793237›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

New Horizons: the value of UK Biobank to research on endocrine and metabolic disorders.

Jelena Bešević, Ben Lacey, Megan Conroy, Wemimo Omiyale, Qi Feng, Rory Collins, Naomi Allen

Abstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2022. 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
–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

9 citing papers in PubMed.

  1. Integrating Polygenic Risk Scores (PRS) for Personalized Diabetes Care: Advancing Clinical Practice with Tailored Pharmacological Approaches.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
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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

7 authors.

Jelena BeševićOxford Population Health (Nuffield Department of Population Health), University of Oxford.ORCID 0000-0003-4927-1840
Ben LaceyOxford Population Health (Nuffield Department of Population Health), University of Oxford.
Megan ConroyOxford Population Health (Nuffield Department of Population Health), University of Oxford.
Wemimo OmiyaleOxford Population Health (Nuffield Department of Population Health), University of Oxford.
Qi FengOxford Population Health (Nuffield Department of Population Health), University of Oxford.
Rory CollinsOxford Population Health (Nuffield Department of Population Health), University of Oxford.ORCID 0000-0001-8288-8602
Naomi AllenOxford Population Health (Nuffield Department of Population Health), University of Oxford.

Funding

British Heart Foundation CH/1996001/9454Cancer Research UKMedical Research Council G0300622Medical Research Council MC_EX_G0801669Medical Research Council MC_PC_12027Medical Research Council MC_PC_12028Medical Research Council MC_PC_12029Medical Research Council MC_PC_15067Medical Research Council MC_PC_17223Medical Research Council MC_PC_18026Medical Research Council MC_QA137853Medical Research Council MC_U137686854Wellcome Trust
6 · The paper itself

Abstract

UK Biobank is an intensively characterized prospective study of 500 000 men and women, aged 40 to 69 years when recruited, between 2006 and 2010, from the general population of the United Kingdom. Established as an open-access resource for researchers worldwide to perform health research that is in the public interest, UK Biobank has collected (and continues to collect) a vast amount of data on genetic, physiological, lifestyle, and environmental factors, with prolonged follow-up of heath conditions through linkage to administrative electronic health records. The study has already demonstrated its unique value in enabling research into the determinants of common endocrine and metabolic diseases. The importance of UK Biobank, heralded as a flagship project for UK health research, will only increase over time as the number of incident disease events accrue, and the study is enhanced with additional data from blood assays (such as whole-genome sequencing, metabolomics, and proteomics), wearable technologies (including physical activity and cardiac monitors), and body imaging (magnetic resonance imaging and dual-energy X-ray absorptiometry). This unique research resource is likely to transform our understanding of the causes, diagnosis, and treatment of many endocrine and metabolic disorders.

Indexed as

Biological Specimen BanksMetabolic DiseasesFemaleHumansLife StyleMaleProspective StudiesUnited Kingdomcohortendocrinologymetabolic disordersreviewUK Biobank

Identifiers

PMID35793237
PMCPMC9387695

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.