Evidence map›Paper›PMID 30021561›Full record

ArticleBMC anesthesiology2018

Evaluation of a combination "lymphocyte apoptosis model" to predict survival of sepsis patients in an intensive care unit.

Wenqiang Jiang, Wenhong Zhong, Yiyu Deng, Chunbo Chen, Qiaosheng Wang, Maohua Zhou, Xusheng Li, Cheng Sun, Hongke Zeng

Open access · goldAbstract read
In one paragraph

Article in BMC anesthesiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-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

17 citing papers in PubMed, 21 citations in OpenAlex.

  1. Cell death in sepsis: unveiling new perspectives on organ dysfunction.Frontiers in cell and developmental biology · 2026
    Review
  2. Article
  3. Predictive value of PD-1Scientific reports · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
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 1 institution in 1 country.

Wenqiang JiangThe Second School of Clinical Medicine, Southern Medical University, 1063 Shatai Nan road, Guangzhou, 510515, China.
Wenhong ZhongThe Second School of Clinical Medicine, Southern Medical University, 1063 Shatai Nan road, Guangzhou, 510515, China.
Yiyu DengDepartment of Emergency and Critical Care Medicine, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Chunbo ChenDepartment of Emergency and Critical Care Medicine, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Qiaosheng WangThe Second School of Clinical Medicine, Southern Medical University, 1063 Shatai Nan road, Guangzhou, 510515, China.
Maohua ZhouDivision of Laboratory, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Xusheng LiThe Second School of Clinical Medicine, Southern Medical University, 1063 Shatai Nan road, Guangzhou, 510515, China.
Cheng SunDepartment of Emergency and Critical Care Medicine, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong, China.
Hongke ZengThe Second School of Clinical Medicine, Southern Medical University, 1063 Shatai Nan road, Guangzhou, 510515, China. zenghongke@vip.163.com.ORCID 0000-0003-3243-4199
Guangdong General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA major challenge in sepsis intervention is unclear risk stratification. We postulated that a panel of biomarkers of lymphocyte apoptosis and immune function, termed the "lymphocyte apoptosis model," would be an effective tool for predicting 28-day survival for sepsis patients.

methodsA total of 52 consecutive sepsis patients were enrolled. Peripheral blood samples were collected on day 1 of admission for quantification of biomarkers of lymphocyte apoptosis and immune function, including lymphocyte count, lymphocyte apoptotic percentage, expression on monocyte HLA-DR, CD4

resultsCompared with survivors, non-survivors had significantly higher lymphocyte apoptotic percentages and plasma cytochrome c levels and significantly lower lymphocyte counts, Th1/Th2 ratios, and HLA-DR expression on day 1 of admission. Multivariate analysis identified cytochrome c levels (odds ratio [OR]1.829, p = 0.025), lymphocyte apoptotic percentage (OR 1.103, p = 0.028), lymphocyte count (OR 0.150, p = 0.047), and HLA-DR expression (OR 0.923, p = 0.021) as independent predictors of 28-day mortality. A logistic regression equation incorporating the independent risk factors predicted 28-day mortality with greater accuracy than did the APACHE II score or single components biomarkers.

conclusionsThe "lymphocyte apoptosis model" may be useful for risk stratification and predicting prognosis of sepsis patients.

Indexed as

ApoptosisLymphocytesModels, BiologicalPredictive Value of TestsAgedBiomarkersFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisSepsisSurvival AnalysisBiomarkersBiomarkerImmune functionLymphocyte apoptosisPredictive modelPrognosisSepsis

Identifiers

PMID30021561
PMCPMC6052570
OpenAlexW2883906097

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.