Evidence map›Paper›PMID 35109662›Full record

ArticleBone & joint open2022

CT estimation of glenoid bone loss in anterior glenohumeral instability : a systematic review of existing techniques.

Gemma L Green, Magnus Arnander, Eyiyemi Pearse, Duncan Tennent

Open access · greenAbstract read
In one paragraph

Article in Bone & joint open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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  9. Automated quantification of glenoid bone loss in CT scans for shoulder dislocation surgery planning.International journal of computer assisted radiology and surgery · 2024
    Article
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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.

Gemma L GreenTrauma and Orthopaedics, St George's Hospital, London, UK.ORCID 0000-0001-8104-5013
Magnus ArnanderShoulder and Elbow Unit, St George's Hospital, London, UK.
Eyiyemi PearseShoulder and Elbow Unit, St George's Hospital, London, UK.
Duncan TennentShoulder and Elbow Unit, St George's Hospital, London, UK.
St George's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsRecurrent dislocation is both a cause and consequence of glenoid bone loss, and the extent of the bony defect is an indicator guiding operative intervention. Literature suggests that loss greater than 25% requires glenoid reconstruction. Measuring bone loss is controversial; studies use different methods to determine this, with no clear evidence of reproducibility. A systematic review was performed to identify existing CT-based methods of quantifying glenoid bone loss and establish their reliability and reproducibility.

methodsA Preferred Reporting Items for Systematic reviews and Meta-Analyses-compliant systematic review of conventional and grey literature was performed.

resultsA total of 25 studies were initially eligible. Following screening, nine papers were included for review. Main themes identified compared 2D and 3D imaging, as well as linear- compared with area-based techniques. Heterogenous data were acquired, and therefore no meta-analysis was performed.

conclusionNo ideal CT-based method is demonstrated in the current literature, however evidence suggests that surface area methods are more reproducible and lead to fewer over-estimations of bone loss, provided the views used are standardized. A prospective imaging trial is required to provide a more definitive answer to this research question. Cite this article:

Indexed as

3D CTanterior glenohumeral instabilitybone lossglenoid bone lossglenoid reconstructionglenoidsHill-Sachs lesionsimaging modalitiesMRIRadiologyShoulderShoulder dislocationTomographyX-Ray computed

Identifiers

PMID35109662
PMCPMC8886323
OpenAlexW4210311661

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.