Evidence map›Paper›PMID 33640878›Full record

ArticleAging2021

Elevated frequencies of CD14

GuoHui Xue, Mei Jiang, Rui Zhao, AiPing Le, JunMing Li

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

  1. Trial
  2. Review
  3. Induction of dysfunctional CD14Frontiers in immunology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Myeloid-derived suppressor cells in COVID-19: A review.Clinical immunology (Orlando, Fla.) · 2022
    Review
  16. SARS-CoV-2 Infection: A Possible Risk Factor for Incidence and Recurrence of Cancers.International journal of hematology-oncology and stem cell research · 2022
    Review
  17. Article
  18. Review
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

GuoHui XueDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China.
Mei JiangDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China.
Rui ZhaoDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China.
AiPing LeDepartment of Transfusion, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China.
JunMing LiDepartment of Clinical Laboratory, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China.
First Affiliated Hospital of Nanchang University · CNNanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe immune responses, hyper-inflammation or immunosuppression, may be closely related to COVID-19 progression. We aimed to evaluate the changes of frequency of CD14

methodsThe levels of CD14

resultsThe frequency of CD14

conclusionsA high frequency of CD14

Indexed as

AdultAgedAged, 80 and overCOVID-19FemaleHLA-DR AntigensHumansImmune ToleranceLipopolysaccharide ReceptorsMaleMiddle AgedMyeloid-Derived Suppressor CellsPrognosisSARS-CoV-2CD14 protein, humanHLA-DR AntigensLipopolysaccharide ReceptorsCOVID-19immunosuppressionMDSCSARS-CoV-2

Identifiers

PMID33640878
PMCPMC7993675
OpenAlexW3135741119

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.