Evidence map›Paper›PMID 33376566›Full record

ReviewPain research & management2020

Advances in Vertebral Augmentation Systems for Osteoporotic Vertebral Compression Fractures.

Yufeng Long, Weihong Yi, Dazhi Yang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Pain research & management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 14 pooled it
–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

74 citing papers in PubMed, 14 syntheses or guidelines pooled it.

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  12. High- versus low-viscosity cement vertebroplasty and kyphoplasty for osteoporotic vertebral compression fracture: a meta-analysis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2022
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14 more citing papers are in PubMed but not listed here.

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.

Yufeng LongHealth Science Center, Shenzhen University, Shenzhen 518071, Guangdong Province, China.ORCID 0000-0003-2690-3526
Weihong YiDepartment of Spine Surgery, The 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen 518052, Guangdong Province, China.
Dazhi YangHealth Science Center, Shenzhen University, Shenzhen 518071, Guangdong Province, China.ORCID 0000-0003-0316-8346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporotic vertebral compression fracture (OVCF) is a common cause of pain and disability and is steadily increasing due to the growth of the elderly population. To date, percutaneous vertebroplasty (PVP) and percutaneous kyphoplasty (PKP) are almost universally accepted as appropriate vertebral augmentation procedures for OVCFs. There are many advantages of vertebral augmentation, such as short surgical time, performance under local anaesthesia, and rapid pain relief. However, there are certain issues regarding the utilization of these vertebral augmentations, such as loss of vertebral height, cement leakage, and adjacent vertebral refracture. Hence, the treatment for OVCF has changed in recent years. Satisfactory clinical results have been obtained worldwide after application of the OsseoFix System, the SpineJack System, radiofrequency kyphoplasty of the vertebral body, and the Kiva VCF treatment system. The following review discusses the development of the current techniques used for vertebral augmentation.

Indexed as

AgedFemaleFractures, CompressionHumansMaleOsteoporotic FracturesSpinal FracturesTreatment OutcomeVertebroplasty

Identifiers

PMID33376566
PMCPMC7738798

What OpenQuestion holds

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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.