Evidence map›Paper›PMID 31093871›Full record

ReviewCurrent osteoporosis reports2019

Towards a Connectomic Description of the Osteocyte Lacunocanalicular Network in Bone.

Richard Weinkamer, Philip Kollmannsberger, Peter Fratzl

Open access · hybridAbstract readReview
In one paragraph

Review in Current osteoporosis reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 63 citations in OpenAlex.

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  16. Osteon: Structure, Turnover, and Regeneration.Tissue engineering. Part B, Reviews · 2022
    Review
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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

3 authors at 2 institutions in 1 country.

Richard WeinkamerDepartment of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany.
Philip KollmannsbergerCenter for Computational and Theoretical Biology, Universität Würzburg, Campus Hubland Nord 32, 97074, Würzburg, Germany.
Peter FratzlDepartment of Biomaterials, Max Planck Institute of Colloids and Interfaces, 14424, Potsdam, Germany. peter.fratzl@mpikg.mpg.de.
Max Planck Institute of Colloids and Interfaces · DEUniversity of Würzburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewOsteocytes are the most abundant bone cells. They are completely encased in mineralized tissue, sitting inside lacunae that are connected by a multitude of canaliculi. In recent years, the osteocyte network has been shown to fulfill endocrine functions and to communicate with a number of other organs. This review addresses emerging knowledge on the connectome of the lacunocanalicular network in different types of bone tissue. RECENT

findingsRecent advances in three-dimensional imaging technology started to reveal parameters that are well known from general theory to characterize the function of networks, such as network density, degree of nodes, or shortest path length through the network. The connectome of the lacunocanalicular network differs in some aspects between lamellar and woven bone and seems to change with age. More research is needed to relate network structure to function, such as intercellular transport or communication and its role in mechanosensation, as well as to understand the effect of diseases.

Indexed as

ConnectomeBone and BonesBone MatrixElectron Microscope TomographyHumansImaging, Three-DimensionalMicroscopy, ConfocalOsteocytesSecond Harmonic Generation MicroscopyCanaliculiConnectomeFluid flowImage analysisImage quantificationOsteocyte network

Identifiers

PMID31093871
PMCPMC6647446
OpenAlexW2945212255

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.