Evidence map›Paper›PMID 32238170›Full record

ArticleBMC research notes2020

The usefulness of C-reactive protein as a biomarker in predicting neonatal sepsis in a sub-Saharan African region.

Gabriel Kambale Bunduki, Yaw Adu-Sarkodie

Abstract read
In one paragraph

Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. miR-141 is negatively correlated with TLR4 in neonatal sepsis and regulates LPS-induced inflammatory responses in monocytes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021
    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

2 authors.

Gabriel Kambale BundukiDepartment of Infectious Diseases, Faculty of Medicine, Université Catholique du Graben, PO. Box 29, Butembo, North-Kivu, Democratic Republic of the Congo. gabriel.bunduki@gmail.com.
Yaw Adu-SarkodieDepartment of Clinical Microbiology, School of Medical Sciences, College of Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe early diagnosis of neonatal sepsis remains a challenge for physicians. The initiation or/and discontinuation of the empirical antibiotic therapy at neonates with sepsis is a dilemma due to the lack of definitive diagnosis and the fear of misdiagnosing a case with its serious outcomes, which can follow up. Therefore, this study aimed to assess the usefulness of C-reactive protein (CRP) as an inflammatory biomarker in the prediction of the neonatal sepsis diagnosis in Butembo, the Democratic Republic of the Congo, in sub-Saharan Africa. Blood culture and quantitative CRP measurements were performed for each neonate. Receiver operating characteristics (ROC) analyses were done in the assessment of CRP accuracy in diagnosing neonatal sepsis.

resultsOf the 228 neonates screened for sepsis, 69 (30.3%) had a positive blood culture. Of the 228 neonates with suspected sepsis, 94 (41.2%) had a positive CRP. Among the 69 cases with positive blood culture, CRP identified 66 cases. The sensitivity, specificity, positive and negative predictive values of CRP were 95.7%, 82.4%, 70.2%, and 97.8%, respectively. The area under the curve (AUC) for the CRP ROC analysis was 0.948. CRP showed its usefulness in the diagnosis of neonatal sepsis.

Indexed as

Area Under CurveBiomarkersC-Reactive ProteinCross-Sectional StudiesDemocratic Republic of the CongoHumansInfant, NewbornNeonatal SepsisPredictive Value of TestsROC CurveSensitivity and SpecificityBiomarkersC-Reactive ProteinBiomarkerBlood cultureC-reactive proteinDRCNeonatal sepsisSub-Saharan Africa

Identifiers

PMID32238170
PMCPMC7110732

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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.