Evidence map›Paper›PMID 36767787›Full record

ArticleInternational journal of environmental research and public health2023

Identifying the Biomarker Profile of Pre-Frail and Frail People: A Cross-Sectional Analysis from UK Biobank.

Wenying Chu, Nathan Lynskey, James Iain-Ross, Jill P Pell, Naveed Sattar, Frederick K Ho, Paul Welsh, Carlos Celis-Morales, Fanny Petermann-Rocha

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
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  4. Observational
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  12. Review
  13. Depression and Plasma pTauGerontology & geriatric medicine
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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

9 authors at 2 institutions in 2 countries.

Wenying ChuBHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK.
Nathan LynskeyBHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK.
James Iain-RossBHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK.
Jill P PellSchool of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK.
Naveed SattarBHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK.
Frederick K HoSchool of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK.ORCID 0000-0001-7190-9025
Paul WelshSchool of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK.
Carlos Celis-MoralesSchool of Health and Wellbeing, University of Glasgow, Glasgow G12 8RZ, UK.ORCID 0000-0003-2612-3917
Fanny Petermann-RochaBHF Cardiovascular Research Centre, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK.
University of Glasgow · GBCatholic University of the Maule · CL

Funding

British Heart FoundationMedical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

objectiveThis study aimed to compare the biomarker profile of pre-frail and frail adults in the UK Biobank cohort by sex.

methodsIn total, 202,537 participants (67.8% women, aged 37 to 73 years) were included in this cross-sectional analysis. Further, 31 biomarkers were investigated in this study. Frailty was defined using a modified version of the Frailty Phenotype. Multiple linear regression analyses were performed to explore the biomarker profile of pre-frail and frail individuals categorized by sex.

resultsLower concentrations of apoA1, total, LDL, and HDL cholesterol, albumin, eGFRcys, vitamin D, total bilirubin, apoB, and testosterone (differences ranged from -0.30 to -0.02 per 1-SD change), as well as higher concentrations of triglycerides, GGT, cystatin C, CRP, ALP, and phosphate (differences ranged from 0.01 to 0.53 per 1-SD change), were identified both in pre-frail and frail men and women. However, some of the associations differed by sex. For instance, higher rheumatoid factor and urate concentrations were identified in pre-frail and frail women, while lower calcium, total protein, and IGF-1 concentrations were identified in pre-frail women and frail women and men. When the analyses were further adjusted for CRP, similar results were found.

conclusionsSeveral biomarkers were linked to pre-frailty and frailty. Nonetheless, some of the associations differed by sex. Our findings contribute to a broader understanding of the pathophysiology of frailty as currently defined.

Indexed as

FrailtyAgedBiological Specimen BanksBiomarkersCross-Sectional StudiesFemaleFrail ElderlyHumansMaleUnited KingdomBiomarkersagingbiomarkersfrailtyUK Biobank

Identifiers

PMID36767787
PMCPMC9915970
OpenAlexW4318474711

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.