Evidence map›Paper›PMID 29670632›Full record

ArticleFrontiers in immunology2018

Quantitative Simulations Predict Treatment Strategies Against Fungal Infections in Virtual Neutropenic Patients.

Sandra Timme, Teresa Lehnert, Maria T E Prauße, Kerstin Hünniger, Ines Leonhardt, Oliver Kurzai, Marc Thilo Figge

Abstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Deep learning-based characterization of neutrophil activation phenotypes inComputational and structural biotechnology journal · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Automated characterisation of neutrophil activation phenotypes inComputational and structural biotechnology journal · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Hybrid Agent-Based Modeling ofFrontiers in microbiology · 2020
    Article
  13. Article
  14. 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.

Sandra TimmeResearch Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Jena, Germany.
Teresa LehnertResearch Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Jena, Germany.
Maria T E PraußeResearch Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Jena, Germany.
Kerstin HünnigerFungal Septomics, Septomics Research Center, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Friedrich Schiller University, Jena, Germany.
Ines LeonhardtCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Oliver KurzaiCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Marc Thilo FiggeResearch Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology-Hans Knöll Institute, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The condition of neutropenia, i.e., a reduced absolute neutrophil count in blood, constitutes a major risk factor for severe infections in the affected patients.

Indexed as

Computer SimulationCandida albicansCandida glabrataCandidiasisCell MovementCytokinesHumansImmunity, InnateImmunocompromised HostMicrobiotaModels, TheoreticalNeutropeniaNeutrophil ActivationNeutrophilsPhagocytosisCytokinesbottom-up modeling approachcomputer simulationsfungal infectionsneutropeniatreatment strategies

Identifiers

PMID29670632
PMCPMC5893870

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.