Evidence map›Paper›PMID 37954022›Full record

ReviewFrontiers in bioengineering and biotechnology2023

Advances in materials used for minimally invasive treatment of vertebral compression fractures.

Pengfei Sui, Tong Yu, Shouye Sun, Bo Chao, Cheng Qin, Jingwei Wang, Erwei Wang, Changjun Zheng

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
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

8 authors.

Pengfei SuiOrthopaedic Medical Center, Second Hospital of Jilin University, Changchun, China.
Tong YuOrthopaedic Medical Center, Second Hospital of Jilin University, Changchun, China.
Shouye SunOrthopaedic Medical Center, Second Hospital of Jilin University, Changchun, China.
Bo ChaoOrthopaedic Medical Center, Second Hospital of Jilin University, Changchun, China.
Cheng QinOrthopaedic Medical Center, Second Hospital of Jilin University, Changchun, China.
Jingwei WangOrthopaedic Medical Center, Second Hospital of Jilin University, Changchun, China.
Erwei WangOrthopaedic Medical Center, Second Hospital of Jilin University, Changchun, China.
Changjun ZhengOrthopaedic Medical Center, Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vertebral compression fractures are becoming increasingly common with aging of the population; minimally invasive materials play an essential role in treating these fractures. However, the unacceptable processing-performance relationships of materials and their poor osteoinductive performance have limited their clinical application. In this review, we describe the advances in materials used for minimally invasive treatment of vertebral compression fractures and enumerate the types of bone cement commonly used in current practice. We also discuss the limitations of the materials themselves, and summarize the approaches for improving the characteristics of bone cement. Finally, we review the types and clinical efficacy of new vertebral implants. This review may provide valuable insights into newer strategies and methods for future research; it may also improve understanding on the application of minimally invasive materials for the treatment of vertebral compression fractures.

Indexed as

biomaterialbone cementminimally invasive surgeryvertebral compression fracturevertebral implant

Identifiers

PMID37954022
PMCPMC10634476

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.