Evidence map›Paper›PMID 33563654›Full record

ArticleDiabetes care2021

Comparisons of Polyexposure, Polygenic, and Clinical Risk Scores in Risk Prediction of Type 2 Diabetes.

Yixuan He, Chirag M Lakhani, Danielle Rasooly, Arjun K Manrai, Ioanna Tzoulaki, Chirag J Patel

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06141369 (Treatment of Advanced Endocrine Tumor With Iindividualized mRNA Neoantigen Vaccine), which is not on this map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
10.2field-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.

NCT06141369 narecruitingnot on this mapstarted 2024, after this paper: background citation

Treatment of Advanced Endocrine Tumor With Iindividualized mRNA Neoantigen Vaccine (mRNA-0523-L001)

TypeinterventionalSponsorShanghai Jiao Tong University School of MedicineRan2024 to 2027Enrolled21ConditionsAdrenal Cortical Carcinoma, Medullary Thyroid Cancer, Thymic Neuroendocrine Carcinoma, Pancreatic Neuroendocrine TumorArmsindividualized mRNA neoantigen vaccine (mRNA-0523-L001)
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
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  17. Human Plasma Proteomics Links Modifiable Lifestyle Exposome to Disease Risk.medRxiv : the preprint server for health sciences · 2025
    Article
  18. Integrating exposomics into biomedicine.Science (New York, N.Y.) · 2025
    Article
  19. 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

6 authors at 3 institutions in 3 countries.

Yixuan HeProgram in Bioinformatics and Integrative Genomics, Harvard Medical School, Boston, MA.
Chirag M LakhaniDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA.
Danielle RasoolyDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA.
Arjun K ManraiDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA.
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, U.K.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA chirag_patel@hms.harvard.edu.ORCID 0000-0002-8756-8525
Harvard University · USBoston Children's Hospital · USUniversity of Ioannina · GR

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
RESEARCH TRAINING IN PEDIATRIC EMERGENCY MEDICINET32HD040128 · NICHD · CHILDREN'S HOSPITAL BOSTON · PI Kenneth D. Mandl · 2001 to 2026
$5.0M
Precision Cardiovascular Medicine for Multi-Ethnic PopulationsK01HL138259 · NHLBI · HARVARD MEDICAL SCHOOL · PI MANRAI, ARJUN KUMAR · 2018 to 2022
$801k
Data-driven identification of environmental factors in cardiovascular diseaseR00ES023504 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2016 to 2018
$728k
Increasing the power of GxE detection by using multi-locus genome-wide predictorsR21ES025052 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2015 to 2017
$434k
Medical Research Council MR/S019669/1NHGRI NIH HHS T32 HG002295NHLBI NIH HHS K01 HL138259NICHD NIH HHS T32 HD040128NIEHS NIH HHS R00 ES023504NIEHS NIH HHS R21 ES025052
6 · The paper itself

Abstract

objectiveTo establish a polyexposure score (PXS) for type 2 diabetes (T2D) incorporating 12 nongenetic exposures and examine whether a PXS and/or a polygenic risk score (PGS) improves diabetes prediction beyond traditional clinical risk factors. RESEARCH DESIGN AND

methodsWe identified 356,621 unrelated individuals from the UK Biobank of White British ancestry with no prior diagnosis of T2D and normal HbA

resultsIn the study population, 7,513 had incident T2D. The C-statistics for the PGS, PXS, and CRS models were 0.709, 0.762, and 0.839, respectively. Individuals in the top 10% of PGS, PXS, and CRS had 2.00-, 5.90-, and 9.97-fold greater risk, respectively, compared to the remaining population. Addition of PGS and PXS to CRS improved T2D classification accuracy, with a continuous net reclassification index of 15.2% and 30.1% for cases, respectively, and 7.3% and 16.9% for controls, respectively.

conclusionsFor T2D, the PXS provides modest incremental predictive value over established clinical risk factors. However, the concept of PXS merits further consideration in T2D risk stratification and is likely to be useful in other chronic disease risk prediction models.

Indexed as

Diabetes Mellitus, Type 2HumansPolymorphism, Single NucleotideProspective StudiesRisk FactorsWhite People

Identifiers

PMID33563654
PMCPMC7985424
OpenAlexW3128002485

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.