Evidence map›Paper›PMID 28028489›Full record

ArticleSpringerPlus2016

Biomarkers for diagnosis of sepsis in patients with systemic inflammatory response syndrome: a systematic review and meta-analysis.

Yong Liu, Jun-Huan Hou, Qing Li, Kui-Jun Chen, Shu-Nan Wang, Jian-Min Wang

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03884595 (Early Identification of Sepsis in Children), which is not on this map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
10.7field-weighted citation impact, top 1% 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.

NCT03884595 unknown statusnot on this mapstarted 2019, after this paper: background citation

Early Identification of Sepsis in Children

TypeobservationalSponsorBrno University HospitalRan2019 to 2022Enrolled100ConditionsSepsis, Shock, Septic, Sepsis, Severe, SIRSArmsIG, IPF, NRBC, CRP, PCT, presepsin
3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Clinical lipidomics in bacterial sepsis: a systematic review of serum and plasma evaluations.Metabolomics : Official journal of the Metabolomic Society · 2026
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  19. Early Biomarker Signatures in Surgical Sepsis.The Journal of surgical research · 2022
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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

6 authors at 3 institutions in 1 country.

Yong Liu *Intensive Care Unit, Suining Central Hospital, Deshengxi Road 127, Chuanshan District, Suining, 629000 Sichuan People's Republic of China.
Jun-Huan Hou *Research Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing, 400042 People's Republic of China.
Qing LiResearch Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing, 400042 People's Republic of China.
Kui-Jun ChenResearch Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing, 400042 People's Republic of China.
Shu-Nan WangDepartment of Radiology, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Jian-Min WangResearch Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing, 400042 People's Republic of China.
Daping Hospital · CNArmy Medical University · CNSuizhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is one of the most common diseases that seriously threaten human health. Although a large number of markers related to sepsis have been reported in the last two decades, the diagnostic accuracy of these biomarkers remains unclear due to the lack of similar baselines among studies. Therefore, we conducted a large systematic review and meta-analysis to evaluate the diagnostic value of biomarkers from studies that included non-infectious systemic inflammatory response syndrome patients as a control group.

methodsWe searched Medline, Embase and the reference lists of identified studies beginning in April 2014. The last retrieval was updated in September 2016.

resultsUltimately, 86 articles fulfilled the inclusion criteria. Sixty biomarkers and 10,438 subjects entered the final analysis. The areas under the receiver operating characteristic curves for the 7 most common biomarkers, including procalcitonin, C-reactive protein, interleukin 6, soluble triggering receptor expressed on myeloid cells-1, presepsin, lipopolysaccharide binding protein and CD64, were 0.85, 0.77, 0.79, 0.85, 0.88, 0.71 and 0.96, respectively. The remaining 53 biomarkers exhibited obvious variances in diagnostic value and methodological quality.

conclusionsAlthough some biomarkers displayed moderate or above moderate diagnostic value for sepsis, the limitations of the methodological quality and sample size may weaken these findings. Currently, we still lack an ideal biomarker to aid in the diagnosis of sepsis. In the future, biomarkers with better diagnostic value as well as a combined diagnosis using multiple biomarkers are expected to solve the challenge of the diagnosis of sepsis.

Indexed as

BiomarkersDiagnosisMeta-analysisSepsisSystemic inflammatory response syndrome

Identifiers

PMID28028489
PMCPMC5153391
OpenAlexW2566984544

What OpenQuestion holds

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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.