Evidence map›Paper›PMID 40851873›Full record

ArticleShoulder & elbow2026

Carbon footprint reduction in shoulder surgery by the rationalisation of single-use convenience packs.

Alex Chowdhury, Ryan Hillier-Smith, Hannah Imran, Rabia Iqbal, Henry B Colaço

Abstract read
In one paragraph

Article in Shoulder & elbow, 2026. 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
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Alex ChowdhuryDepartment of Trauma and Orthopaedics, Hampshire Hospitals Foundation Trust, Winchester, UK.ORCID https://orcid.org/0000-0002-0403-3454
Ryan Hillier-SmithDepartment of Trauma and Orthopaedics, Hampshire Hospitals Foundation Trust, Winchester, UK.
Hannah ImranDepartment of Trauma and Orthopaedics, Hampshire Hospitals Foundation Trust, Winchester, UK.
Rabia IqbalDepartment of Trauma and Orthopaedics, Hampshire Hospitals Foundation Trust, Winchester, UK.
Henry B ColaçoDepartment of Trauma and Orthopaedics, Hampshire Hospitals Foundation Trust, Winchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The United Kingdom National Health Service is responsible for a vast carbon footprint, with annual carbon dioxide emissions at over 25 million tonnes. Operating theatres contribute up to 25% of a hospital's emissions. Aims: To rationalise the composition of the single-use convenience packs in arthroscopic and open shoulder surgery, to reduce the annual carbon footprint. Methods: The individual material composition of all items in the single-use shoulder arthroscopy and open shoulder convenience packs was considered. The carbon footprint of each item was calculated by the application of best available cradle-to-gate emission factors. The items in the packs were then rationalised by consensus (of surgeons and scrub team). Two new standardised packs were designed. Results: In the 2022/2023 financial year, 296 arthroscopic and 191 open shoulder procedures were performed. The new rationalised open packs had between 3 and 18 fewer items, the new arthroscopic packs 7-8 fewer items. This will result in reduction of 108.9 kg of single use plastics, and an overall annual carbon footprint reduction of 643.8 kgCO Conclusion: Through a simple method of single-use convenience pack rationalisation, we have reduced the annual carbon footprint of shoulder surgery at our institution. The same methodology is being applied to all orthopaedic packs.

Indexed as

arthroscopycarbon footprintenvironmentshoulder surgerySustainability

Identifiers

PMID40851873
PMCPMC12364840

What OpenQuestion holds

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Registered trials

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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.