Evidence map›Paper›PMID 39618530›Full record

SynthesisClinics in orthopedic surgery2024

Effect of Robot-Assisted Surgery on Clinical Outcomes in Patients with Osteoporotic Vertebral Compression Fractures after Percutaneous Vertebral Augmentation: a Meta-Analysis and a Validation Cohort.

Haibo Li, Juan Zou, Jianlin Yu

Abstract readMeta-AnalysisValidation Study
In one paragraph

Synthesis in Clinics in orthopedic surgery, 2024. 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. Trial
  2. Article
  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

3 authors.

Haibo LiDepartment of Orthopedics, Tianjin Hospital, Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-6230-2712
Juan ZouDepartment of General Surgery, Shandong Wendeng Orthopedic Hospital, Weihai, China.ORCID https://orcid.org/0000-0002-5849-3456
Jianlin YuDepartment of Spinal Cord, Shandong Wendeng Orthopedic Hospital, Weihai, China.ORCID https://orcid.org/0009-0006-7553-9459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The objective of this study was to investigate the impact of robot-assisted surgery (RA) on the risk of new vertebral compression fracture (NVCF) and bone cement leakage in patients with osteoporotic vertebral compression fractures (OVCF) after percutaneous vertebral augmentation (PVA), including percutaneous kyphoplasty (PKP) and percutaneous vertebroplasty (PVP). Methods: A meta-analysis was performed to evaluate the clinical outcomes and adverse effects of RA-PVA versus fluoroscopy-assisted (FA)-PVA in patients with OVCF. A validation cohort of 385 patients who underwent PVP or PKP was retrospectively analyzed. In addition, we attempted to create well-calibrated nomograms to estimate the risk of NVCF and bone cement leakage. Results: The meta-analysis revealed that the incidence of NVCF and bone cement leakage was significantly lower in RA-PVA than in FA-PVA. The validation cohort confirmed that RA-PVA provided better results than FA-PVA in terms of NVCF and bone cement leakage. Conclusions: The meta-analysis and the validation cohort suggest that RA reduced the risk of NVCF and bone cement leakage in patients with OVCF after PVA. The nomograms are accurate and easy-to-implement methods for clinicians to estimate the risk of NVCF and bone cement leakage after PVA.

Indexed as

Fractures, CompressionOsteoporotic FracturesRobotic Surgical ProceduresSpinal FracturesVertebroplastyAgedBone CementsHumansKyphoplastyRetrospective StudiesBone CementsBone cementsOsteoporosisRobot-assisted surgerySpinal FracturesVertebroplasty

Identifiers

PMID39618530
PMCPMC11604559

What OpenQuestion holds

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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.