Evidence map›Paper›PMID 35639395›Full record

SynthesisJAMA pediatrics2022

Presepsin for the Diagnosis of Neonatal Early-Onset Sepsis: A Systematic Review and Meta-analysis.

Chiara Poggi, Ersilia Lucenteforte, Davide Petri, Salvatore De Masi, Carlo Dani

Registry-linked trialOpen access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06633770 (Role of Presepsin as a Novel Biomarker in Diagnosis of Neonatal Sepsis), which is not on this map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
11.8field-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.

NCT06633770 not yet recruitingnot on this mapstarted 2024, after this paper: background citation

Role of Presepsin as a Novel Biomarker in Diagnosis of Neonatal Sepsis

TypeobservationalSponsorSohag UniversityRan2024 to 2028Enrolled100ConditionsNeonatal SepsisArmsproclcitonin and presepsin
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Chiara PoggiNeonatology and Neonatal Intensive Care, Department of Mother and Child Care, Careggi University Hospital, Florence, Italy.
Ersilia LucenteforteDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Davide PetriDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Salvatore De MasiClinical Trial Center, Careggi University Hospital, Florence, Italy.
Carlo DaniNeonatology and Neonatal Intensive Care, Department of Mother and Child Care, Careggi University Hospital, Florence, Italy.
Azienda Ospedaliero-Universitaria Careggi · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Neonatal early-onset sepsis (EOS) is a severe disease, particularly in preterm infants. Timely diagnosis can be challenging owing to unspecific presentation and questionable performance of the common markers of infection. Presepsin was recently proven to be a promising biomarker for the diagnosis of EOS. Objective: To assess presepsin accuracy for the diagnosis of EOS. Data Sources: PubMed Medline, EMBASE, Web of Science, and Google Scholar. No publication date restrictions were applied. The literature search was limited to the English language. Articles were checked for duplication. Study Selection: Inclusion criteria were studies that (1) included term or preterm newborns (defined as newborns with gestational age ≥37 weeks or <37 weeks, respectively); (2) included a diagnosis of EOS, defined as culture-proven sepsis for primary analysis and as either clinical or culture-proven sepsis for secondary analysis; and (3) assessed presepsin values during the initial workup for suspected EOS. Exclusion criteria were studies that (1) did not include EOS cases; (2) lacked data on presepsin sensitivity and/or specificity; and (3) were case reports, commentaries, or reviews. Two independent reviewers performed the study selection. Data Extraction and Synthesis: Two independent reviewers performed data extraction and quality assessment. Quality assessment was performed using the Quality Assessment for Studies of Diagnostic Accuracy 2 tool, and data were reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data were pooled using a random-effects model. Main Outcomes and Measures: The outcomes of interest for both the primary and secondary analyses were presepsin sensitivity, specificity, and diagnostic odds ratio for the diagnosis of EOS. Results: A total of 12 studies of 245 (4.9%) met inclusion criteria for the primary analysis. Twenty-three studies of 245 (9.4%) met the inclusion criteria for the secondary analysis. In the primary analysis, among 12 studies and 828 newborns of any gestational age, pooled sensitivity and specificity were 0.93 (95% CI, 0.86-0.95) and 0.91 (95% CI, 0.85-0.95), respectively; pooled diagnostic odds ratio was 131.69 (95% CI, 54.93-310.94). Subgroup analysis showed that presepsin specificity was associated with the inclusion of only EOS or all neonatal sepsis. Presepsin accuracy was not associated with gestational age, measurement with chemiluminescence enzyme immunoassay or enzyme-linked immunosorbent assay testing, country where the study was performed, or risk of bias judgment. In the secondary analysis, among 23 studies and 1866 newborns, accuracy was significantly associated with only test type. Conclusions and Relevance: Results of this systematic review and meta-analysis suggest that presepsin was an accurate biomarker of EOS. Clinical trials are warranted to assess its usefulness and safety to reduce early antibiotic exposure, particularly in preterm newborns.

Indexed as

BiomarkersNeonatal SepsisHumansInfantInfant, NewbornInfant, PrematureLipopolysaccharide ReceptorsPeptide FragmentsSepsisBiomarkersCD14 protein, humanLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, human

Identifiers

PMID35639395
PMCPMC9157383
OpenAlexW4281758046

What OpenQuestion holds

Textmetadata
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.