Evidence map›Paper›PMID 35534565›Full record

ArticleNature medicine2022

Heterogeneity in phenotype, disease progression and drug response in type 2 diabetes.

Anand Thakarakkattil Narayanan Nair, Agata Wesolowska-Andersen, Caroline Brorsson, Aravind Lathika Rajendrakumar, Simona Hapca, Sushrima Gan, Adem Y Dawed, Louise A Donnelly, Rory McCrimmon, Alex S F Doney and 6 more

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In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
25.2field-weighted citation impact, top 1% 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

94 citing papers in PubMed, 144 citations in OpenAlex.

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  2. Prediabetes Subgroups, Type 2 Diabetes Risk, and Differential Effects of Preventive Interventions.The Journal of clinical endocrinology and metabolism · 2025 · on this map
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34 more citing papers are in PubMed but not listed here.

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

16 authors at 5 institutions in 3 countries.

Anand Thakarakkattil Narayanan NairDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Agata Wesolowska-AndersenWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Caroline BrorssonNovo Nordisk Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Aravind Lathika RajendrakumarDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Simona HapcaDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Sushrima GanDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Adem Y DawedDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.ORCID http://orcid.org/0000-0003-0224-2428
Louise A DonnellyDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Rory McCrimmonDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.ORCID http://orcid.org/0000-0002-3957-1981
Alex S F DoneyDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.
Colin N A PalmerDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK.ORCID http://orcid.org/0000-0002-6415-6560
Viswanathan MohanMadras Diabetes Research Foundation, Chennai, India.ORCID http://orcid.org/0000-0001-5038-6210
Ranjit M AnjanaMadras Diabetes Research Foundation, Chennai, India.
Andrew T HattersleyInstitute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0001-5620-473X
John M DennisInstitute of Biomedical and Clinical Science, Royal Devon and Exeter Hospital, University of Exeter, Exeter, UK.
Ewan R PearsonDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK. e.z.pearson@dundee.ac.uk.ORCID http://orcid.org/0000-0001-9237-8585
University of Dundee · GBMadras Diabetes Research Foundation · INUniversity of Exeter · GBCentre for Human Genetics · GBUniversity of Copenhagen · DK

Funding

British Heart Foundation SP/19/6/34809Chief Scientist OfficeDepartment of Health 16/136/102Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/K005707/1Medical Research Council MR/N00633X/1Medical Research Council MR/W003988/1Wellcome Trust 102820/Z/13/Z
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a complex chronic disease characterized by considerable phenotypic heterogeneity. In this study, we applied a reverse graph embedding method to routinely collected data from 23,137 Scottish patients with newly diagnosed diabetes to visualize this heterogeneity and used partitioned diabetes polygenic risk scores to gain insight into the underlying biological processes. Overlaying risk of progression to outcomes of insulin requirement, chronic kidney disease, referable diabetic retinopathy and major adverse cardiovascular events, we show how these risks differ by patient phenotype. For example, patients at risk of retinopathy are phenotypically different from those at risk of cardiovascular events. We replicated our findings in the UK Biobank and the ADOPT clinical trial, also showing that the pattern of diabetes drug monotherapy response differs for different drugs. Overall, our analysis highlights how, in a European population, underlying phenotypic variation drives T2D onset and affects subsequent diabetes outcomes and drug response, demonstrating the need to incorporate these factors into personalized treatment approaches for the management of T2D.

Indexed as

Biological PhenomenaDiabetes Mellitus, Type 2Diabetic RetinopathyDisease ProgressionHumansPhenotype

Identifiers

PMID35534565
OpenAlexW4229444496

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.