Evidence map›Paper›PMID 34707086›Full record

ReviewBone research2021

Quality control methods in musculoskeletal tissue engineering: from imaging to biosensors.

Daniele Zuncheddu, Elena Della Bella, Andrea Schwab, Dalila Petta, Gaia Rocchitta, Silvia Generelli, Felix Kurth, Annapaola Parrilli, Sophie Verrier, Julietta V Rau and 7 more

Erratum issuedAbstract readReview
In one paragraph

Review in Bone research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Daniele Zuncheddu *AO Research Institute Davos, Clavadelerstrasse 8, 7270, Davos, Switzerland.
Elena Della Bella *AO Research Institute Davos, Clavadelerstrasse 8, 7270, Davos, Switzerland.ORCID http://orcid.org/0000-0001-5151-7390
Andrea SchwabAO Research Institute Davos, Clavadelerstrasse 8, 7270, Davos, Switzerland.ORCID http://orcid.org/0000-0002-4576-558X
Dalila PettaRegenerative Medicine Technologies Lab, Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland.
Gaia RocchittaDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro 43/b, 07100, Sassari, Italy.
Silvia GenerelliCentre Suisse d'Electronique et de Microtechnique, Bahnhofstrasse 1, 7302, Landquart, Switzerland.
Felix KurthCentre Suisse d'Electronique et de Microtechnique, Bahnhofstrasse 1, 7302, Landquart, Switzerland.
Annapaola ParrilliCenter for X-ray Analytics, Empa - Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600, Dübendorf, Switzerland.
Sophie VerrierAO Research Institute Davos, Clavadelerstrasse 8, 7270, Davos, Switzerland.
Julietta V RauIstituto di Struttura della Materia, Consiglio Nazionale delle Ricerche (ISM-CNR), Via del Fosso del Cavaliere, 100 - 00133, Rome, Italy.
Marco FoscaIstituto di Struttura della Materia, Consiglio Nazionale delle Ricerche (ISM-CNR), Via del Fosso del Cavaliere, 100 - 00133, Rome, Italy.
Margherita MaioliDepartment of Biomedical Sciences, University of Sassari, Viale San Pietro 43/b, 07100, Sassari, Italy.
Pier Andrea SerraDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Viale San Pietro 43/b, 07100, Sassari, Italy.
Mauro AliniAO Research Institute Davos, Clavadelerstrasse 8, 7270, Davos, Switzerland.
Heinz RedlLudwig Boltzmann Institute for Experimental and Clinical Traumatology in AUVA trauma research center, Donaueschingenstraße 13, 1200, Vienna, Austria.
Sibylle GradAO Research Institute Davos, Clavadelerstrasse 8, 7270, Davos, Switzerland. sibylle.grad@aofoundation.org.ORCID http://orcid.org/0000-0001-9552-3653
Valentina BasoliAO Research Institute Davos, Clavadelerstrasse 8, 7270, Davos, Switzerland. valentina.basoli@aofoundation.org.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) CRSK-3_190410
6 · The paper itself

Abstract

Tissue engineering is rapidly progressing toward clinical application. In the musculoskeletal field, there has been an increasing necessity for bone and cartilage replacement. Despite the promising translational potential of tissue engineering approaches, careful attention should be given to the quality of developed constructs to increase the real applicability to patients. After a general introduction to musculoskeletal tissue engineering, this narrative review aims to offer an overview of methods, starting from classical techniques, such as gene expression analysis and histology, to less common methods, such as Raman spectroscopy, microcomputed tomography, and biosensors, that can be employed to assess the quality of constructs in terms of viability, morphology, or matrix deposition. A particular emphasis is given to standards and good practices (GXP), which can be applicable in different sectors. Moreover, a classification of the methods into destructive, noninvasive, or conservative based on the possible further development of a preimplant quality monitoring system is proposed. Biosensors in musculoskeletal tissue engineering have not yet been used but have been proposed as a novel technology that can be exploited with numerous advantages, including minimal invasiveness, making them suitable for the development of preimplant quality control systems.

Identifiers

PMID34707086
PMCPMC8551153

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.