Evidence map›Paper›PMID 32864128›Full record

ArticleClinical & translational immunology2020

Systematic analysis of disease-specific immunological signatures in patients with febrile illness from Saudi Arabia.

Yiu-Wing Kam, Mohamed Yousif Ahmed, Siti Naqiah Amrun, Bernett Lee, Tarik Refaie, Kamla Elgizouli, Siew-Wai Fong, Laurent Renia, Lisa Fp Ng

Open access · goldAbstract read
In one paragraph

Article in Clinical & translational immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.5field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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  12. Distinguishing SARS-CoV-2 bonafide re-infection from pre-existing minor variant reactivation.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
  13. Review
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 4 institutions in 3 countries.

Yiu-Wing KamSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore.
Mohamed Yousif AhmedSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore.
Siti Naqiah AmrunSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore.
Bernett LeeSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore.
Tarik RefaieDepartment of Infectious Diseases Clinic and Medical Microbiology King Fahad Central Hospital Jazan Saudi Arabia.
Kamla ElgizouliDepartment of Infectious Diseases Clinic and Medical Microbiology King Fahad Central Hospital Jazan Saudi Arabia.
Siew-Wai FongSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore.
Laurent ReniaSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore.
Lisa Fp NgSingapore Immunology Network Agency for Science, Technology and Research (ASTAR) Singapore.
Agency for Science, Technology and Research · SGKing Fahad Central Hospital · SANational University of Singapore · SGSingapore Immunology Network · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLittle is known about the prevalence of febrile illness in the Arabian region as clinical, laboratory and immunological profiling remains largely uncharacterised.

methodsA total of 2018 febrile patients from Jazan, Saudi Arabia, were recruited between 2014 and 2017. Patients were screened for dengue and chikungunya virus,

resultsApproximately 20% of febrile patients were tested positive for one of the pathogens, and they presented overlapping clinical and laboratory parameters. Nonetheless, eight disease-specific immune mediators were identified as potential biomarkers for dengue (MIP-1α, MCP-1), malaria (TNF-α), streptococcal and meningococcal (eotaxin, GRO-α, RANTES, SDF-1α and PIGF-1) infections, with high specificity and sensitivity profiles. Notably, based on the conditional inference model, six of these mediators (MIP-1α, TNF-α, GRO-α, RANTES, SDF-1α and PIGF-1) were revealed to be 68.4% accurate in diagnosing different febrile infections, including those of unknown diseases.

conclusionsThis study is the first extensive characterisation of the clinical analysis and immune biomarkers of several clinically important febrile infections in Saudi Arabia. Importantly, an immune signature with robust accuracy, specificity and sensitivity in differentiating several febrile infections was identified, providing useful insights into patient disease management in the Arabian Peninsula.

Indexed as

biomarkerscytokinesinfectious diseasespatientsSaudi Arabia

Identifiers

PMID32864128
PMCPMC7443187
OpenAlexW3081054198

What OpenQuestion holds

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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.