Evidence map›Paper›PMID 38297213›Full record

SynthesisBMC infectious diseases2024

The diagnostic utility of heparin-binding protein among patients with bacterial infections: a systematic review and meta-analysis.

Amira Mohamed Taha, Khaled Abouelmagd, Mohamed Mosad Omar, Qasi Najah, Mohammed Ali, Mohammed Tarek Hasan, Sahar A Allam, Roua Arian, Omar El Sayed Rageh, Mohamed Abd-ElGawad

Open access · goldAbstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  9. 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

10 authors at 6 institutions in 3 countries.

Amira Mohamed TahaFaculty of Medicine, Fayoum University, Bank Street, Talat, Fayoum, Egypt. am7529@fayoum.edu.eg.ORCID http://orcid.org/0000-0002-9620-7350
Khaled AbouelmagdCardiology Department, Faculty of Medicine, Al-Azhar University, Cairo, Egypt.
Mohamed Mosad OmarKasr Alainy School of Medicine, Cairo University, Cairo, Egypt.
Qasi NajahFaculty of Medicine, University of EL-Mergib, Al Khums, Libya.
Mohammed AliFaculty of Medicine, Al-Azhar University, Cairo, Egypt.
Mohammed Tarek HasanFaculty of Medicine, Al-Azhar University, Cairo, Egypt.
Sahar A AllamFaculty of Medicine, Tanta University, Tanta, Egypt.
Roua ArianFaculty of Medicine, University of Aleppo, Aleppo, Syria.
Omar El Sayed RagehFaculty of Medicine, Tanta University, Tanta, Egypt.
Mohamed Abd-ElGawadFaculty of Medicine, Fayoum University, Bank Street, Talat, Fayoum, Egypt.
Al-Azhar University · EGFayoum University · EGTanta University · EGCairo University · EGUniversity Elmergib · LYUniversity of Aleppo · SY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacterial infections are considered a leading cause of hospitalization and death globally. There is still a need for a rapid and feasible biomarker for bacterial infections. Heparin-binding protein (HBP) was shown to be related to bacterial infections. The objective of the study is to investigate the diagnostic accuracy of HBP in bacterial infections.

methodsArticles were screened in PubMed, SCOPUS, Web of Science, and Cochrane to recognize eligible studies. We included studies investigating the diagnostic accuracy of HBP and reported the necessary data to construct 2 × 2 tables. A univariate analysis was conducted to determine the pooled sensitivity and specificity, and a bivariate diagnostic random-effects model was used to calculate the optimal cut-off point.

resultsThe analysis comprised sixteen studies in total. Plasma HBP showed a sensitivity of 0.90 (95% CI: [0.79, 0.96]) and a specificity of 0.87 (95% CI: [0.66, 0.96]) in diagnosing bacterial infections using blood samples. Pooling data from seven studies revealed that HBP in cerebrospinal fluid (CSF) has sensitivity and specificity of 96% (95% CI: [0.85, 0.99]), and 95% (95% CI: [0.89, 0.97]), respectively, for the diagnosis of bacterial meningitis. In urinary tract infections (UTI), urine-HBP was revealed to have a high diagnostic value in discriminating bacterial from non-bacterial UTI infection at a cut-off value of 32.868 ng/ml with sensitivity and specificity of 87%.

conclusionHBP has shown a high diagnostic accuracy of bacterial infections, including UTI and meningitis. Further studies are needed to determine its prognostic value and whether it could guide antibiotic therapy.

Indexed as

Blood ProteinsMeningitis, BacterialUrinary Tract InfectionsAntimicrobial Cationic PeptidesHumansSensitivity and SpecificityAntimicrobial Cationic PeptidesAZU1 protein, humanBlood ProteinsBacterial infectionsBiomarkersDiagnostic accuracyHeparin binding protein

Identifiers

PMID38297213
PMCPMC10829335
OpenAlexW4391390051

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.