Evidence map›Paper›PMID 30463590›Full record

SynthesisCritical care (London, England)2018

The combination of procalcitonin and C-reactive protein or presepsin alone improves the accuracy of diagnosis of neonatal sepsis: a meta-analysis and systematic review.

Lin Ruan, Guan-Yu Chen, Zhen Liu, Yun Zhao, Guang-Yu Xu, Shu-Fang Li, Chun-Ni Li, Lin-Shan Chen, Zheng Tao

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Critical care (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 8 pooled it
16.3field-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.

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

92 citing papers in PubMed, 8 syntheses or guidelines pooled it, 197 citations in OpenAlex.

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  7. Calprotectin as a diagnostic marker for sepsis: A meta-analysis.Frontiers in cellular and infection microbiology · 2022
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32 more citing papers are in PubMed but not listed here.

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.

Lin RuanDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China. Ruanlin187@163.com.
Guan-Yu ChenDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China.
Zhen LiuDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China.
Yun ZhaoDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China.
Guang-Yu XuDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China.
Shu-Fang LiDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China.
Chun-Ni LiDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China.
Lin-Shan ChenDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China.
Zheng TaoDepartments of Anesthesiology, Guangxi Medical University Affiliated Tumor Hospital, Naning, Guangxi, China.
Tumor Hospital of Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is an important cause of neonatal morbidity and mortality; therefore, the early diagnosis of neonatal sepsis is essential.

methodOur aim was to compare the diagnostic accuracy of procalcitonin (PCT), C-reactive protein (CRP), procalcitonin combined with C-reactive protein (PCT + CRP) and presepsin in the diagnosis of neonatal sepsis. We searched seven databases to identify studies that met the inclusion criteria. Two independent reviewers performed data extraction. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), area under curve (AUC), and corresponding 95% credible interval (95% CI) were calculated by true positive (TP), false positive (FP), false negative (FN), and true negative (TN) classification using a bivariate regression model in STATA 14.0 software. The pooled sensitivity, specificity, PLR, NLR, DOR, AUC, and corresponding 95% CI were the primary outcomes. Secondary outcomes included the sensitivity and specificity in multiple subgroup analyses.

resultsA total of 28 studies enrolling 2661 patients were included in our meta-analysis. The pooled sensitivity of CRP (0.71 (0.63, 0.78)) was weaker than that of PCT (0.85 (0.79, 0.89)), PCT + CRP (0.91 (0.84, 0.95)) and presepsin (0.94 (0.80, 0.99)) and the pooled NLR of presepsin (0.06 (0.02, 0.23)) and PCT + CRP (0.10 (0.05, 0.19)) were less than CRP (0.33 (0.26, 0.42)), and the AUC for presepsin (0.99 (0.98, 1.00)) was greater than PCT + CRP (0.96 (0.93, 0.97)), CRP (0.85 (0.82, 0.88)) and PCT (0.91 (0.89, 0.94)). The results of the subgroup analysis showed that 0.5-2 ng/mL may be the appropriate cutoff interval for PCT. A cut-off value > 10 mg/L for CRP had high sensitivity and specificity.

conclusionsThe combination of PCT and CRP or presepsin alone improves the accuracy of diagnosis of neonatal sepsis. However, further studies are required to confirm these findings.

Indexed as

Area Under CurveBiomarkersC-Reactive ProteinHumansInfant, NewbornInfant, Newborn, DiseasesLipopolysaccharide ReceptorsNeonatal SepsisOdds RatioPediatricsPeptide FragmentsProcalcitoninROC CurveBiomarkersC-Reactive ProteinLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, humanProcalcitoninC-reactive proteinMeta-analysisNeonatal sepsisProcalcitoninSystematic review

Identifiers

PMID30463590
PMCPMC6249912
OpenAlexW2901130621

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.