Evidence map›Paper›PMID 32373231›Full record

ArticleTheranostics2020

Chitosan modified Fe

Yuping Hong, Yaguang Han, Jun Wu, Xinxin Zhao, Jin Cheng, Guo Gao, Qirong Qian, Xiuying Wang, Weidong Cai, Hala Zreiqat and 3 more

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 33 citations in OpenAlex.

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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

13 authors at 5 institutions in 2 countries.

Yuping HongInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, PR China.
Yaguang HanDepartment of Joint Surgery and Sports Medicine, Changzheng Hospital, Second Military Medical University, 415 Fengyang RD, Shanghai 200003, PR China.
Jun WuDepartment of Joint Surgery and Sports Medicine, Changzheng Hospital, Second Military Medical University, 415 Fengyang RD, Shanghai 200003, PR China.
Xinxin ZhaoDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian RD, Shanghai 200127, PR China.
Jin ChengInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, PR China.
Guo GaoInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, PR China.
Qirong QianDepartment of Joint Surgery and Sports Medicine, Changzheng Hospital, Second Military Medical University, 415 Fengyang RD, Shanghai 200003, PR China.
Xiuying WangSchool of Computer Science, Faculty of Engineering, University of Sydney, NSW 2006, Australia.
Weidong CaiSchool of Computer Science, Faculty of Engineering, University of Sydney, NSW 2006, Australia.
Hala ZreiqatMurray Maxwell Biomechanics Laboratory, Kolling Institute, Royal North Shore Hospital, University of Sydney, NSW 2065, Australia.
Dagan FengSchool of Computer Science, Faculty of Engineering, University of Sydney, NSW 2006, Australia.
Jianrong XuDepartment of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian RD, Shanghai 200127, PR China.
Daxiang CuiInstitute of Nano Biomedicine and Engineering, Shanghai Engineering Research Centre for Intelligent Diagnosis and Treatment Instrument, Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, 800 Dongchuan RD, Shanghai 200240, PR China.
Shanghai Jiao Tong University · CNSecond Military Medical University · CNUniversity of Sydney · AURenji Hospital · CNRoyal North Shore Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chondral and osteochondral defects caused by trauma or pathological changes, commonly progress into total joint degradation, even resulting in disability. The cartilage restoration is a great challenge because of its avascularity and limited proliferative ability. Additionally, precise diagnosis using non-invasive detection techniques is challenging, which increases problems associated with chondral disease treatment.

Indexed as

AnilidesAnimalsBiocompatible MaterialsCartilage DiseasesCells, CulturedChitosanChondrocytesDisease Models, AnimalFerrosoferric OxideMagnetic Resonance ImagingMaleMesenchymal Stem CellsNanoparticlesPhthalic AcidsRabbitsRegenerationAnilidesBiocompatible MaterialsChitosanFerrosoferric OxidekartogeninPhthalic AcidsFe3O4-CS/KGN nanoprobeMRIosteochondral regeneration therapyself-assemblytheranostic strategy

Identifiers

PMID32373231
PMCPMC7196312
OpenAlexW3016360418

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.