Evidence map›Paper›PMID 37805698›Full record

ReviewZhonghua shao shang yu chuang mian xiu fu za zhi2023

[Research advances of sepsis biomarkers].

Z Zeng, Y Z Peng, Z Q Yuan

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhonghua shao shang yu chuang mian xiu fu za zhi, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Presepsin is a biomarker that can predict mortality in sepsis patients.Revista da Associacao Medica Brasileira (1992) · 2025
    Article
  3. Review
  4. [Novel strategy of sepsis immunomodulation targeting dendritic cells].Zhonghua shao shang yu chuang mian xiu fu za zhi · 2023
    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

3 authors.

Z ZengState Key Laboratory of Trauma, Burns and Combined Injury, Institute of Burn Research, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China.
Y Z PengState Key Laboratory of Trauma, Burns and Combined Injury, Institute of Burn Research, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China.
Z Q YuanState Key Laboratory of Trauma, Burns and Combined Injury, Institute of Burn Research, the First Affiliated Hospital of Army Medical University (the Third Military Medical University), Chongqing 400038, China.

Funding

General Program of National Natural Science Foundation of China 82072171, 81873935
6 · The paper itself

Abstract

Sepsis is a life-threatening condition for patients. Biomarkers can be used for the diagnosis, treatment, and prognostic assessment of sepsis. In recent years, new biomarkers for sepsis have been discovered, and more than 250 biomarkers have been identified so far. The complexity of the sepsis process and the increased sensitivity of various detection techniques will lead to the emergence of new biomarkers. However, there is still a lack of specific diagnostic biomarkers and effective therapeutic approaches for sepsis in clinical practice. Therefore, the search for reliable biomarkers and the evaluation of the role of biomarkers in sepsis will undoubtedly aid in clinical decision-making. This article reviews the advances on research of sepsis biomarkers in order to improve understanding of current biomarkers of sepsis, and provide reference for the application of biomarkers in clinical diagnosis, treatment, and prognosis of sepsis.

Indexed as

SepsisBiomarkersHumansPrognosisBiomarkers

Identifiers

PMID37805698
PMCPMC11630190

What OpenQuestion holds

Textmetadata
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.