Evidence map›Paper›PMID 27185604›Full record

ArticleThe Kaohsiung journal of medical sciences2016

Clinical experiences of dynamic stabilizers: Dynesys and Dynesys top loading system for lumbar spine degenerative disease.

Cheng-Ta Hsieh, Chih-Ju Chang, I-Chang Su, Li-Ying Lin

Abstract read
In one paragraph

Article in The Kaohsiung journal of medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

4 authors.

Cheng-Ta HsiehDepartment of Neurosurgery, Cathay General Hospital, Taipei City, Taiwan; Department of Medicine, School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Chih-Ju ChangDepartment of Neurosurgery, Cathay General Hospital, Taipei City, Taiwan; Department of Medicine, School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan. Electronic address: miklechang5639@gmail.com.
I-Chang SuDepartment of Neurosurgery, Cathay General Hospital, Taipei City, Taiwan; Department of Medicine, School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Li-Ying LinDepartment of Surgery, Cathay General Hospital, Taipei City, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dynesys (Dynamic Neutralization System) was designed to overcome the shortcomings of fusion. The Dynesys top loading (DTL) system is a new alternative Dynesys system that can be applied via a minimally invasive procedure. This study aimed to ascertain whether DTL is a suitable device for motion preservation and prevention of instability, and to compare the clinical and radiological outcomes between DTL and Dynesys. In this study, 12 patients were treated with Dynesys and 21 patients were treated with DTL. Back and leg pain were evaluated using the visual analog scale. The Oswestry Disability Index was used to evaluate the patients' function. Range of motion (ROM) at the operative level and for the whole lumbar spine was measured pre- and postoperatively. The length of wound, blood loss, length of hospital stay, and operation duration were also compared. All patients were followed up for 12-76 months. Scores on the visual analog scale and Oswestry Disability Index were significantly improved postoperatively. The median ROM of the whole spine and index level ROM in all patients showed 12.5% and 79.6% loss, respectively. The DTL group exhibited significantly better results in terms of blood loss, wound length, and operation duration, in addition to early ambulation. In conclusion, Dynesys and DTL are semirigid fixation systems that can significantly improve clinical symptoms and signs. Our results suggested that DTL was better than Dynesys as a result of it being a minimally invasive procedure. However, further study with large sample sizes and longer follow-up durations is required to validate the effects of these dynamic stabilizers.

Indexed as

Spinal FusionAdultDemographyFemaleHumansIntervertebral Disc DegenerationLumbar VertebraeMaleMiddle AgedPain MeasurementProsthesis ImplantationRange of Motion, ArticularDTLDynamic stabilizerDynesysLumbar spondylosis

Identifiers

PMID27185604
PMCPMC11916151

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Registered trials

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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.