Evidence map›Paper›PMID 35942324›Full record

ArticleJournal of clinical orthopaedics and trauma2022

Digital templating in hip hemiarthroplasty: Is it possible to accurately predict femoral head size from magnification alone?

Daniel Thurston, Saad El-Ashry, Sreenadh Gella, Kanthan Theivendran

Abstract read
In one paragraph

Article in Journal of clinical orthopaedics and trauma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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.

Daniel ThurstonTrauma & Orthopaedic Surgery Department, Sandwell & West Birmingham Hospitals NHS Trust, Hallam Street, Birmingham, B71 4HJ, UK.
Saad El-AshryTrauma & Orthopaedic Surgery Department, Sandwell & West Birmingham Hospitals NHS Trust, Hallam Street, Birmingham, B71 4HJ, UK.
Sreenadh GellaTrauma & Orthopaedic Surgery Department, Sandwell & West Birmingham Hospitals NHS Trust, Hallam Street, Birmingham, B71 4HJ, UK.
Kanthan TheivendranTrauma & Orthopaedic Surgery Department, Sandwell & West Birmingham Hospitals NHS Trust, Hallam Street, Birmingham, B71 4HJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Templating is an integral part of pre-operative planning in elective hip arthroplasty to achieve favourable long-term outcomes, but its applications in trauma surgery remain limited. When templating from radiographs without a calibration marker, there is always an element of magnification which must be accounted for. Our aim was to establish our institute-specific magnification and to determine whether using this to predict femoral head size in hemiarthroplasty was more accurate than using set magnifications previously reported in the literature. Materials & methods: Fifty consecutive patients who underwent hip hemiarthroplasty were retrospectively identified, their pre-operative radiographs reviewed and femoral head measured with templating software. Intra- and inter-observer reliability analyses were performed. Using this value, and two set values of 15% and 21% magnification, we attempted to predict femoral head sizes of our original cohort. The results were compared using paired Results: We established our institute-specific magnification as 17%. Inter- and intra-observer reliability were excellent. However, using this magnification we were only able to correctly predict to within ± one femoral head size in 49% of patients. There was no significant difference in accuracy comparing our institute-specific magnification with other magnifications from the literature. Conclusion: We would not recommend using magnification factor in digital templating software as this could potentially lead to errors in predicting final femoral head size in hip hemiarthroplasty and adversely affect patient outcomes.

Indexed as

HemiarthroplastyHip fractureTemplatingTrauma

Identifiers

PMID35942324
PMCPMC9356085

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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.