Evidence map›Paper›PMID 40355941›Full record

ArticleParasites & vectors2025

External quality assessment for molecular detection of sand fly-borne phleboviruses circulating in the Mediterranean Basin.

Nazli Ayhan, Cecile Baronti, Laurence Thrion, Gioia Bongiorno, Carla Maia, Remi N Charrel, CLIMOS WP2 Phlebovirus Working Group

Abstract read
In one paragraph

Article in Parasites & vectors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors.

Nazli AyhanUnite des Virus Emergents (UVE), L Université d Aix-Marseille-Universita di Corsica, IRD 190, Inserm 1207-L Institut de recherche biomédicale des armées (IRBA), 19-21, Bd. Jean Moulin, 13005, Marseille, France. nazli.ayhan@univ-amu.fr.
Cecile BarontiUnite des Virus Emergents (UVE), L Université d Aix-Marseille-Universita di Corsica, IRD 190, Inserm 1207-L Institut de recherche biomédicale des armées (IRBA), 19-21, Bd. Jean Moulin, 13005, Marseille, France.
Laurence ThrionUnite des Virus Emergents (UVE), L Université d Aix-Marseille-Universita di Corsica, IRD 190, Inserm 1207-L Institut de recherche biomédicale des armées (IRBA), 19-21, Bd. Jean Moulin, 13005, Marseille, France.
Gioia BongiornoDepartment of Infectious Diseases, Vector-borne Diseases Unit, Istituto Superiore di Sanità, Rome, Italy.
Carla MaiaGlobal Health and Tropical Medicine (GHTM), Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa, Lisboa, Portugal.
Remi N CharrelUnite des Virus Emergents (UVE), L Université d Aix-Marseille-Universita di Corsica, IRD 190, Inserm 1207-L Institut de recherche biomédicale des armées (IRBA), 19-21, Bd. Jean Moulin, 13005, Marseille, France.
CLIMOS WP2 Phlebovirus Working Group

Funding

European Commission 101057690UK Research and Innovation 10038150
6 · The paper itself

Abstract

backgroundSand fly-borne phleboviruses (SbPV) are globally distributed and pose potential public health risks. Despite increased detection in recent decades, detailed knowledge of their ecology, characteristics and clinical relevance remains limited. Many cases of SbPV infection likely go unreported or misdiagnosed due to limited awareness and the lack of standardized screening. The External Quality Assessment (EQA) reported herein was organized within the framework of the European Union CLIMOS (EU Climate Monitoring and Decision Support Framework for Sand Fly-borne Diseases Detection and Mitigation) project. The aim of this EQA was to standardize the detection of phleboviruses in order to provide comparable data to feed mathematical models for the surveillance of the impact of climate changes and environmental parameters on the kinetics and diversity of sand fly species and on sand fly-borne microorganisms.

methodsNine laboratories from seven countries participated in the EQA. Each laboratory was provided with eight vials, each containing an anonymous sample; two vials of lyophilized primers and probes to be used for the detection of Toscana virus (TOSV) and several Sandfly fever Sicilian virus (SFSV) species with a reverse-transcriptase PCR (RT-PCR) assay; and one vial of lyophilized primers for the detection of generic phleboviruses with a RT-PCR assay along with the standard operating procedure. The laboratories were instructed to submit their results together with details on the techniques employed.

resultsAll nine laboratories successfully detected the two TOSV- and the one SFSV-positive samples. Only one laboratory, using a generic phlebovirus assay, detected all of the targeted phleboviruses.

conclusionsAll participating laboratories successfully identified the two TOSV and one SFSV using the proposed RT-qPCR assays, albeit with some variations in cycle threshold values across laboratories. The detection rate of SbPV was lower with the generic Phlebovirus assay than with the specific real-time RT-qPCR assays. This EQA aimed to assess the SbPV detection capabilities of molecular tools and strengthen their use, thereby supporting the involvement of laboratories in virus discovery and surveillance beyond their core expertise.

Indexed as

Insect VectorsPhlebovirusPsychodidaeAnimalsHumansLaboratoriesMediterranean RegionPhlebotomus FeverReverse Transcriptase Polymerase Chain ReactionDetectionExternal Quality AssessmentPCRPhenuiviridaePhlebovirusPhlebovirus siciliaensePhlebovirus toscanaenseSandfly fever Sicilian virusToscana virus

Identifiers

PMID40355941
PMCPMC12070498

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.