Evidence map›Paper›PMID 37888104›Full record

ArticleJournal of personalized medicine2023

A Feasibility Study of CT-Guided Osteosynthesis under Local Anesthesia.

Joris Lavigne, Nicolas Stacoffe, Damien Heidelberg, Philippe Wagner, Jean-Baptiste Pialat

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Observational
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

5 authors at 2 institutions in 1 country.

Joris LavigneDepartment of Radiology, Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, 69495 Pierre-Bénite, France.ORCID 0000-0001-8660-1437
Nicolas StacoffeDepartment of Radiology, Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, 69495 Pierre-Bénite, France.
Damien HeidelbergDepartment of Radiology, Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, 69495 Pierre-Bénite, France.
Philippe WagnerCentre D'étude des Maladies Osseuses, INSERM U1033, Université Lyon 1, 69008 Lyon, France.
Jean-Baptiste PialatDepartment of Radiology, Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, 69495 Pierre-Bénite, France.ORCID 0000-0001-6038-7540
Hospices Civils de Lyon · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvaluation of local anesthesia for perioperative pain control in patients undergoing CT-guided percutaneous osteosynthesis.

methodsA total of 12 patients underwent percutaneous osteosynthesis under local anesthesia. Intraoperative pain was assessed after the procedure using numerical rating scale (NRS). Patients were also asked to rate their overall experience of the operation using the following scale: "highly comfortable, comfortable, hardly comfortable, uncomfortable" and, finally, "Would you be willing to repeat this intervention again under the same conditions if necessary?" Patients were also clinically followed up at 1 month, 3 months, and 6 months using the EQ5D5L scale to assess their pain and quality of life.

resultsPatients underwent percutaneous osteosynthesis for osteoporotic (

conclusionRadiological percutaneous osteosynthesis is an effective technique that can be performed under local anesthesia with a comfortable experience for most of the patients.

Indexed as

interventional radiologylocal anesthesiapainpercutaneous osteosynthesis

Identifiers

PMID37888104
PMCPMC10608047
OpenAlexW4387638507

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.