Evidence map›Paper›PMID 38314318›Full record

ArticleNature cardiovascular research2023

Cardiometabolic and renal phenotypes and transitions in the United States population.

Victor P F Lhoste, Bin Zhou, Anu Mishra, James E Bennett, Sarah Filippi, Perviz Asaria, Edward W Gregg, Goodarz Danaei, Majid Ezzati

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Nature cardiovascular research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 4 countries.

Victor P F LhosteDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Bin ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-1741-8628
Anu MishraDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
James E BennettDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Sarah FilippiDepartment of Mathematics, Imperial College London, London, UK.
Perviz AsariaDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Edward W GreggDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Goodarz DanaeiDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Majid EzzatiDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-2109-8081
MRC Centre for Environment and HealthHarvard University · USImperial College London · GBRoyal College of Surgeons in Ireland · IEUniversity of Ghana · GH

Funding

Medical Research Council MR/V034057/1
6 · The paper itself

Abstract

Cardiovascular and renal conditions have both shared and distinct determinants. In this study, we applied unsupervised clustering to multiple rounds of the National Health and Nutrition Examination Survey from 1988 to 2018, and identified 10 cardiometabolic and renal phenotypes. These included a 'low risk' phenotype; two groups with average risk factor levels but different heights; one group with low body-mass index and high levels of high-density lipoprotein cholesterol; five phenotypes with high levels of one or two related risk factors ('high heart rate', 'high cholesterol', 'high blood pressure', 'severe obesity' and 'severe hyperglycemia'); and one phenotype with low diastolic blood pressure (DBP) and low estimated glomerular filtration rate (eGFR). Prevalence of the 'high blood pressure' and 'high cholesterol' phenotypes decreased over time, contrasted by a rise in the 'severe obesity' and 'low DBP, low eGFR' phenotypes. The cardiometabolic and renal traits of the US population have shifted from phenotypes with high blood pressure and cholesterol toward poor kidney function, hyperglycemia and severe obesity.

Identifiers

PMID38314318
PMCPMC7615595
OpenAlexW4389785667

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.