Evidence map›Paper›PMID 23782877›Full record

ArticleProceedings. Biological sciences2013

Assessing pneumococcal meningitis association with viral respiratory infections and antibiotics: insights from statistical and mathematical models.

Lulla Opatowski, Emmanuelle Varon, Claire Dupont, Laura Temime, Sylvie van der Werf, Laurent Gutmann, Pierre-Yves Boëlle, Laurence Watier, Didier Guillemot

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  14. Unraveling the seasonal epidemiology of pneumococcus.Proceedings of the National Academy of Sciences of the United States of America · 2019
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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 at 5 institutions in 2 countries.

Lulla OpatowskiUnité de Pharmaco-épidémiologie et Maladies Infectieuses PhEMI, Institut Pasteur, 75015 Paris, France. lulla.opatowski@pasteur.fr
Emmanuelle Varon
Claire Dupont
Laura Temime
Sylvie van der Werf
Laurent Gutmann
Pierre-Yves Boëlle
Laurence Watier
Didier Guillemot
Institut Pasteur · FRHôpital Européen · FRCentre National de la Recherche Scientifique · FRHôpital Raymond-Poincaré · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pneumococcus is an important human pathogen, highly antibiotic resistant and a major cause of bacterial meningitis worldwide. Better prevention requires understanding the drivers of pneumococcal infection incidence and antibiotic susceptibility. Although respiratory viruses (including influenza) have been suggested to influence pneumococcal infections, the underlying mechanisms are still unknown, and viruses are rarely considered when studying pneumococcus epidemiology. Here, we propose a novel mathematical model to examine hypothetical relationships between Streptococcus pneumoniae meningitis incidence (SPMI), acute viral respiratory infections (AVRIs) and antibiotic exposure. French time series of SPMI, AVRI and penicillin consumption over 2001-2004 are analysed and used to assess four distinct virus-bacteria interaction submodels, ascribing the interaction on pneumococcus transmissibility and/or pathogenicity. The statistical analysis reveals strong associations between time series: SPMI increases shortly after AVRI incidence and decreases overall as the antibiotic-prescription rate rises. Model simulations require a combined impact of AVRI on both pneumococcal transmissibility (up to 1.3-fold increase at the population level) and pathogenicity (up to threefold increase) to reproduce the data accurately, along with diminished epidemic fitness of resistant pneumococcal strains causing meningitis (0.97 (0.96-0.97)). Overall, our findings suggest that AVRI and antibiotics strongly influence SPMI trends. Consequently, vaccination protecting against respiratory virus could have unexpected benefits to limit invasive pneumococcal infections.

Indexed as

Models, StatisticalModels, TheoreticalAnti-Bacterial AgentsFranceHumansMeningitis, PneumococcalMultivariate AnalysisPenicillinsRespiratory Tract InfectionsStreptococcus pneumoniaeAnti-Bacterial AgentsPenicillinsantibiotic resistance fitness costinfluenzamathematical modelstatistical modelStreptococcus pneumonia meningitisvirus–bacteria interaction

Identifiers

PMID23782877
PMCPMC3712413
OpenAlexW2025029849

What OpenQuestion holds

Textmetadata
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.