Evidence map›Paper›PMID 30035057›Full record

ReviewJournal of orthopaedic translation2015

Computational modelling of bone augmentation in the spine.

Sandro D Badilatti, Gisela A Kuhn, Stephen J Ferguson, Ralph Müller

Open access · goldAbstract readReview
In one paragraph

Review in Journal of orthopaedic translation, 2015. 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
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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 at 1 institution in 1 country.

Sandro D BadilattiInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.
Gisela A KuhnInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.
Stephen J FergusonInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.
Ralph MüllerInstitute for Biomechanics, ETH Zurich, Zurich, Switzerland.
Institute for Biomedical Engineering · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational models are gaining importance not only for basic science, but also for the analysis of clinical interventions and to support clinicians prior to intervention. Vertebroplasty has been used to stabilise compression fractures in the spine for years, yet there are still diverging ideas on the ideal deposition location, volume, and augmentation material. In particular, little is known about the long-term effects of the intervention on the surrounding biological tissue. This review aims to investigate computational efforts made in the field of vertebroplasty, from the augmentation procedure to strength prediction and long-term

Indexed as

bone remodellingcomputational biologyfinite element analysisspinal fracturesvertebroplasty

Identifiers

PMID30035057
PMCPMC5986996
OpenAlexW1836778530

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.