Evidence map›Paper›PMID 38130715›Full record

ArticleFrontiers in immunology2023

COMMBINI: an experimentally-informed COmputational Model of Macrophage dynamics in the Bone INjury Immunoresponse.

Edoardo Borgiani, Gabriele Nasello, Liesbeth Ory, Tim Herpelinck, Lisanne Groeneveldt, Christian H Bucher, Katharina Schmidt-Bleek, Liesbet Geris

Abstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Quantifying Information Exchange Between Cells in Inflammaging.Bioengineering (Basel, Switzerland) · 2026
    Article
  4. Review
  5. 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

8 authors.

Edoardo BorgianiBiomechanics Research Unit, GIGA-In Silico Medicine, University of Liège, Liège, Belgium.
Gabriele NaselloPrometheus, Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.
Liesbeth OryPrometheus, Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.
Tim HerpelinckPrometheus, Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.
Lisanne GroeneveldtPrometheus, Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.
Christian H BucherJulius Wolff Institute, Berlin Institute of Health, Charitè - Universitätsmedizin Berlin, Berlin, Germany.
Katharina Schmidt-BleekJulius Wolff Institute, Berlin Institute of Health, Charitè - Universitätsmedizin Berlin, Berlin, Germany.
Liesbet GerisBiomechanics Research Unit, GIGA-In Silico Medicine, University of Liège, Liège, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone fracture healing is a well-orchestrated but complex process that involves numerous regulations at different scales. This complexity becomes particularly evident during the inflammatory stage, as immune cells invade the healing region and trigger a cascade of signals to promote a favorable regenerative environment. Thus, the emergence of criticalities during this stage might hinder the rest of the process. Therefore, the investigation of the many interactions that regulate the inflammation has a primary importance on the exploration of the overall healing progression. In this context, an

Indexed as

Fracture HealingModels, BiologicalAnimalsComputer SimulationInflammationMacrophagesMicebone fracture healinggenetic algorithmimmunofluorescenceinflammatory phasein silico modelmacrophagesmultiscale modelsensitivity analysis

Identifiers

PMID38130715
PMCPMC10733790

What OpenQuestion holds

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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.