Evidence map›Paper›PMID 33947427›Full record

ArticleImmunity & ageing : I & A2021

CMV infection, CD19

Liang-Yu Chen, An-Chun Hwang, Chung-Yu Huang, Liang-Kung Chen, Fu-Der Wang, Yu-Jiun Chan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Immunity & ageing : I & A, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 2 institutions in 1 country.

Liang-Yu ChenInstitute of Public Health, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St, Taipei, 11221, Taiwan.
An-Chun HwangInstitute of Public Health, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St, Taipei, 11221, Taiwan.
Chung-Yu HuangInstitute of Public Health, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St, Taipei, 11221, Taiwan.
Liang-Kung ChenInstitute of Public Health, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St, Taipei, 11221, Taiwan.
Fu-Der WangSchool of Medicine, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St, Taipei, 11221, Taiwan.
Yu-Jiun ChanInstitute of Public Health, National Yang Ming Chiao Tung University, No. 155, Sec. 2, Li-Nong St, Taipei, 11221, Taiwan. yjchan@vghtpe.gov.tw.
National Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic infections played a detrimental role on health outcomes in the aged population, and had complex associations with lymphocyte subsets distribution. Our study aimed to explore the predictive roles of chronic infections, lymphopenia, and lymphocyte subsets on unexpected admission and mortality in the institutionalized oldest-old during 3 year follow-up period.

resultsThere were 163 participants enrolled prospectively with median age of 87.3 years (IQR: 83.1-90.2), male of 88.3%, and being followed for 156.4 weeks (IQR: 136.9-156.4 weeks). The unexpected admission and mortality rates were 55.2 and 24.5% respectively. The Cox proportional hazards models demonstrated the 3rd quartile of cytomegalovirus IgG (OR: 3.26, 95% CI: 1.55-6.84), lymphopenia (OR: 2.85, 95% CI: 1.2-6.74), and 1st quartile of CD19

conclusionsCMV infection, lymphopenia, and CD19

Indexed as

CD19+CD3+Chronic infectionCytomegalovirusImmunosenescenceLymphopeniaThe elderly

Identifiers

PMID33947427
PMCPMC8094471
OpenAlexW3159960210

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.