Evidence map›Paper›PMID 33198109›Full record

ReviewBiomedicines2020

Current Evidence and Limitation of Biomarkers for Detecting Sepsis and Systemic Infection.

Shang-Kai Hung, Hao-Min Lan, Shih-Tsung Han, Chin-Chieh Wu, Kuan-Fu Chen

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04718623 (Evaluation of Presepsin and Syndecan-1 as Biomarkers for Early Diagnosis and Prognosis of Sepsis Following Major Surgeries), which is not on this map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
6.3field-weighted citation impact, top 2% 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.

NCT04718623 unknown statusnot on this mapstarted 2021, after this paper: background citation

Evaluation of Presepsin and Syndecan-1 as Biomarkers for Early Diagnosis and Prognosis of Sepsis Following Major Surgeries

TypeobservationalSponsorAlexandria UniversityRan2021 to 2022Enrolled30ConditionsSepsis Following A Procedure, Diagnoses, Syndromes, and ConditionsArmsQuantitative determination of serum Presepsin (sCD-14), and Syndecan-1 concentrations
3 · Its place in the literature

Who cites it

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 80 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Review
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  15. Review
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  17. Article
  18. Is GDF15 a Feasible Biomarker in Sepsis?Diagnostics (Basel, Switzerland) · 2025
    Article
  19. Early Prediction of Septic Shock in Emergency Department Using Serum Metabolites.Journal of the American Society for Mass Spectrometry · 2025
    Article
  20. 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

5 authors at 3 institutions in 1 country.

Shang-Kai HungDepartment of Emergency Medicine, Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Hao-Min LanDepartment of Education, Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan.
Shih-Tsung HanDepartment of Emergency Medicine, Chang Gung Memorial Hospital, Linkou 333, Taiwan.
Chin-Chieh WuClinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan 333, Taiwan.
Kuan-Fu ChenClinical Informatics and Medical Statistics Research Center, Chang Gung University, Taoyuan 333, Taiwan.ORCID 0000-0001-7287-9497
Chang Gung Memorial Hospital · TWChang Gung University · TWKaohsiung Chang Gung Memorial Hospital · TW

Funding

Chang Gung Memorial Hospital CMRPG2K0211, CMRPG2K0231, CMRPG2H0312 and CMRPG2H0323Ministry of Science and Technology in Taiwan 107-2314-B-182-052-MY2 and 109-2314-B-182-036
6 · The paper itself

Abstract

Sepsis was recently redefined as a life-threatening disease involving organ dysfunction caused by a dysregulated host response to infection. Biomarkers play an important role in early detection, diagnosis, and prognostication. We reviewed six promising biomarkers for detecting sepsis and systemic infection, including C-reactive protein (CRP), procalcitonin (PCT), interleukin-6 (IL-6), CD64, presepsin, and sTREM-1. Among the recent studies, we found the following risks of bias: only a few studies adopted the random or consecutive sampling strategy; extensive case-control analysis, which worsened the over-estimated performance; most of the studies used post hoc cutoff values; and heterogeneity with respect to the inclusion criteria, small sample sizes, and different quantitative synthesis methods applied in meta-analyses. We recommend that CD64 and presepsin should be considered as the most promising biomarkers for diagnosing sepsis. Future studies should enroll a larger sample size with a cohort rather than a case-control study design. A random or consecutive study design with a pre-specified laboratory threshold, consistent sampling timing, and an updated definition of sepsis will also increase the reliability of the studies. Further investigations of appropriate specimens, testing assays, and cutoff levels for specific biomarkers are also warranted.

Indexed as

biomarkerCD64C-reactive proteininterleukin-6presepsinprocalcitoninsepsissTREM-1

Identifiers

PMID33198109
PMCPMC7697922
OpenAlexW3105853323

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.