Evidence map›Paper›PMID 34543489›Full record

SynthesisReviews in medical virology2022

A systematic review on global RSV genetic data: Identification of knowledge gaps.

Annefleur C Langedijk, Eline R Harding, Burak Konya, Bram Vrancken, Robert Jan Lebbink, Anouk Evers, Joukje Willemsen, Philippe Lemey, Louis J Bont

Abstract readSystematic Review
In one paragraph

Synthesis in Reviews in medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Annefleur C LangedijkDepartment of Paediatrics, Division of Paediatric Infectious Diseases, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0003-1190-1894
Eline R HardingDepartment of Paediatrics, Division of Paediatric Infectious Diseases, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
Burak KonyaDepartment of Paediatrics, Division of Paediatric Infectious Diseases, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
Bram VranckenDepartment of Microbiology, Immunology and Transplantation, Laboratory of Clinical and Epidemiological Virology, Leuven, Belgium.
Robert Jan LebbinkDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Anouk EversDepartment of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Joukje WillemsenDepartment of Paediatrics, Division of Paediatric Infectious Diseases, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Laboratory of Clinical and Epidemiological Virology, Leuven, Belgium.
Louis J BontDepartment of Paediatrics, Division of Paediatric Infectious Diseases, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) is a major health problem. A better understanding of the geographical and temporal dynamics of RSV circulation will assist in tracking resistance against therapeutics currently under development. Since 2015, the field of RSV molecular epidemiology has evolved rapidly with around 20-30 published articles per year. The objective of this systematic review is to identify knowledge gaps in recent RSV genetic literature to guide global molecular epidemiology research. We included 78 studies published between 2015 and 2020 describing 12,998 RSV sequences of which 8,233 (63%) have been uploaded to GenBank. Seventeen (22%) studies were performed in low- and middle-income countries (LMICs), and seven (9%) studies sequenced whole-genomes. Although most reported polymorphisms for monoclonal antibodies in clinical development (nirsevimab, MK-1654) have not been tested for resistance in neutralisation essays, known resistance was detected at low levels for the nirsevimab and palivizumab binding site. High resistance was found for the suptavumab binding site. We present the first literature review of an enormous amount of RSV genetic data. The need for global monitoring of RSV molecular epidemiology becomes increasingly important in evaluating the effectiveness of monoclonal antibody candidates as they reach their final stages of clinical development. We have identified the following three knowledge gaps: whole-genome data to study global RSV evolution, data from LMICs and data from global surveillance programs.

Indexed as

Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsAntibodies, MonoclonalAntiviral AgentsHumansPalivizumabAntibodies, MonoclonalAntiviral AgentsPalivizumabmolecular epidemiologymonoclonal antibodiesrespiratory syncytial virusRSVsystematic review

Identifiers

PMID34543489
PMCPMC9285027

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.