Evidence map›Paper›PMID 36357845›Full record

ArticleBMC immunology2022

CD19

Chunmei Wang, Huihui Xu, Rui Gao, Fengying Leng, Fangjie Huo, Yinzhen Li, Siting Liu, Mingzheng Xu, Jianwen Bai

Open access · goldAbstract read
In one paragraph

Article in BMC immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. PD-L1Nature communications · 2025
    Article
  8. PD-L1International journal of molecular sciences · 2025
    Article
  9. Review
  10. Observational
  11. Article
  12. Review
  13. Destabilisation of T cell-dependent humoral immunity in sepsis.Clinical science (London, England : 1979) · 2024
    Review
  14. Article
  15. Review
  16. 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

9 authors at 4 institutions in 1 country.

Chunmei Wang *Department of Emergency Medicine and Critical Care, Shanghai East Hospital, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, China.
Huihui Xu *Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
Rui GaoDepartment of Respiratory and Critical Care Medicine, Affiliated Hospital of Jining Medical University, Jining, 272067, Shandong Province, China.
Fengying LengDepartment of Emergency Medicine and Critical Care, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China.
Fangjie HuoDepartment of Respiratory Medicine, Xi'an No. 4 Hospital, Xi'an, 710004, Shanxi Province, China.
Yinzhen LiDepartment of Emergency Medicine and Critical Care, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China.
Siting LiuDepartment of Emergency Medicine and Critical Care, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China.
Mingzheng XuDepartment of Emergency Medicine and Critical Care, Shanghai East Hospital, Tongji University School of Medicine, 150 Jimo Road, Shanghai, 200120, China. xmz878@126.com.
Jianwen BaiDepartment of Emergency Medicine and Critical Care, Shanghai East Hospital, Nanjing Medical University, Nanjing, 211166, Jiangsu Province, China. baijianwen1019@163.com.
Shanghai East Hospital · CNAffiliated Hospital of Jining Medical University · CNChinese Academy of Sciences · CNWuhan No. 7 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis still remains a major challenge in intensive care medicine with unacceptably high mortality among patients with septic shock. Due to current limitations of human CD19

methodsPeripheral blood from 58 patients with sepsis and 22 healthy controls was analyzed using flow cytometry to evaluate the frequency and number of Bregs. All cases were divided into non-survived or survived group after 28 days followed up. Spearman's correlation analysis was performed on Bregs frequency and clinical indices. The area under the curve was acquired using the receiver operating characteristic analysis to assess the sensitivity and specificity of Bregs for outcome of sepsis. Survival curve analysis and binary logistic regression were applied to estimate the value of Bregs in prognosis among cases with sepsis.

resultsSepsis patients had decreased proportions and number of Bregs. Sepsis patients with low frequency of Bregs were associated with an increased risk of septic shock. Bregs frequency is inversely associated with lactate, SOFA, and APACHE II and positively correlated with Tregs frequency. Low levels of Bregs closely correlated with septic outcomes. Numbers of Bregs were prediction factors for poor prognosis.

conclusionsFrequency and number of Bregs decreased, and Bregs deficiency revealed poor prognosis in patients with sepsis.

Indexed as

B-Lymphocytes, RegulatorySepsisShock, SepticAdaptor Proteins, Signal TransducingCD24 AntigenFlow CytometryHumansPrognosisAdaptor Proteins, Signal TransducingCD24 AntigenCD24 protein, humanB-lymphocytesFlow cytometryInterleukin-10PrognosisRegulatory B cellsSepsis

Identifiers

PMID36357845
PMCPMC9648441
OpenAlexW4309073385

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.