Evidence map›Paper›PMID 32039831›Full record

ArticleAging2020

Tfh cell subset biomarkers and inflammatory markers are associated with frailty status and frailty subtypes in the community-dwelling older population: a cross-sectional study.

Ming-Juan Yin, Yong-Zhen Xiong, Xiu-Juan Xu, Ling-Feng Huang, Yan Zhang, Xiao-Jun Wang, Liang-Chang Xiu, Jing-Xiao Huang, Ting-Yu Lian, Dong-Mei Liang and 2 more

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In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Ming-Juan YinDepartment of Preventive Medicine, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Yong-Zhen XiongSchool Clinic, Guangdong Medical University, Dongguan, China.
Xiu-Juan XuDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Ling-Feng HuangDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Yan ZhangDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Xiao-Jun WangDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Liang-Chang XiuDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Jing-Xiao HuangDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Ting-Yu LianDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Dong-Mei LiangDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Jin-Mei ZenDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Jin-Dong NiDepartment of Epidemiology and Biostatistics, Dongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a cross-sectional study investigating community-dwelling older population to determine association between immunoscenescence marker, inflammatory cytokines and frailty. Frailty status was classified with 33-item modified frailty index and latent class analysis was applied to explore the latent classes (subtypes) of frailty. In multivariable analysis, higher Tfh2 cells were associated with a higher risk of frailty [1.13(1.03-1.25)] in females, but a lower risk of cognitive and functional frail [0.92(0.86-0.99)] and physiological frail [0.92(0.87-0.98)]. Additionally, a greater risk of multi-frail and physiological frail correlated with low Tfh1 [0.77(0.60-0.99); 0.87(0.79-0.96)] and Tfh17 cells [0.79(0.65-0.96); 0.86(0.78-0.94)], respectively. Higher B cells were associated with decreased frailty/pre-frailty both in females [0.89(0.81-0.98)] and males [0.82(0.71-0.96)], but did not correlate with frailty subtypes. Regarding inflammatory markers, participants in the TGF-β 2

Indexed as

AgedAged, 80 and overBiomarkersCross-Sectional StudiesCytokinesFemaleFrailtyGene Expression RegulationHumansMaleMiddle AgedSex FactorsBiomarkersCytokinesbiomarkerscommunity-dwelling older populationfrailty statusfrailty subtypes

Identifiers

PMID32039831
PMCPMC7041730
OpenAlexW3005110189

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.