Evidence map›Paper›PMID 42461557›Full record

ArticleAnnals of surgical oncology2026

Implementation of Green Changes Can Result in Shortened Turnover and Decreased Surgical Waste in Breast Cancer Operations.

Dhruvi Mehta, Dominique Robinson, Maya Komenaka, Jack Welch, Chiu-Hsieh Hsu, Charles A Keane, Lisa M WintonLi, Ian K Komenaka, John Davis

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Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Dhruvi MehtaCase Western Reserve University School of Medicine, Cleveland, OH, USA.
Dominique RobinsonMidwestern University School of Medicine, Glendale, AZ, USA.
Maya KomenakaUniversity of Chicago, Chicago, IL, USA.
Jack WelchUniversity of Arizona, Tucson, AZ, USA.
Chiu-Hsieh HsuCollege of Public Health, University of Arizona, Tucson, AZ, USA.
Charles A KeaneDepartment of Surgery, Central Michigan University, Saginaw, MI, USA.
Lisa M WintonLiDignity Health Cancer Institute at St Joseph's Hospital, Phoenix, AZ, USA.
Ian K KomenakaIronwood Cancer and Research Centers, Chandler, AZ, USA. Komenaka@hotmail.com.
John DavisArizona Center for Cancer Care, Phoenix, AZ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe operating room accounts for the bulk of costs and use of resources in healthcare. This study was performed to demonstrate that changes can be easily implemented and result in improved turnover time. PATIENTS AND

methodsThis study was performed at three hospitals and one ambulatory surgery center (ASC) from 1 January 2025 to 31 December 2025. A total of 300 operations were included in the study; 150 operations at the ASC and 150 operations at the hospitals. All opened disposable items and reusable equipment were documented. The weight of the waste bags and laundry bags were recorded for each case.

resultsThe study included 300 operations. In the initial 150 operations, only 18% and 28% of instruments were used at the hospitals and ASCs, respectively. The average weight of the waste produced from hospitals was 14.1-15.7 lbs and 8.03 lbs at ASCs. The cost of the unused items per case were US$183.78 to US$280.58 at hospitals and US$52.35 at ASCs. Following the initial operations, mini-trays with 17 instruments were created at one hospital and ASC. With the downsized trays, the surgeons used 14/18 (78%) of the instruments. The weight of waste produced at the hospital decreased from 14.1 lbs to 11.8 lbs (p < 0.01). The turnover time decreased by 29% (from 36 min to 27 min).

conclusionsTrays with fewer instruments can be created quickly at hospitals and ASCs. These changes result in improved turnover time and significantly less waste of valuable resources.

Indexed as

Ambulatory Surgical ProceduresBreast NeoplasmsMedical WasteOperating RoomsFemaleHumansSurgicentersMedical WasteAmbulatory surgeryBreast cancerOperationSurgical wasteTurnover time

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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.