Evidence map›Paper›PMID 41617876›Full record

ReviewJournal of anesthesia2026

Sustainable anesthesiology: evidence-based strategies for environmental stewardship in perioperative care.

Michiaki Yamakage

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of anesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Michiaki YamakageDepartment of Anesthesiology, Sapporo Medical University School of Medicine, South 1, West 16, 291, Chuo-Ku, Sapporo, Hokkaido, 060-8543, Japan. yamakage@sapmed.ac.jp.ORCID http://orcid.org/0000-0002-6226-2669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global healthcare sector accounts for approximately 4.4% of the total greenhouse gas emissions, with anesthesiology contributing disproportionately through volatile anesthetic agents whose global warming potentials range from 130 (sevoflurane) to 2540 (desflurane). This narrative review examines the environmental implications of contemporary anesthetic practice and evaluates evidence-based strategies for sustainable anesthesia delivery. Desflurane has a global warming potential approximately 20-fold greater than sevoflurane, making it the most environmentally damaging volatile anesthetic in clinical use. Total intravenous anesthesia (TIVA) produces substantially lower emissions at approximately 0.4 kg CO₂-equivalent/h, compared with 3.1-3.8 kg CO₂-equivalent/h for volatile-based techniques. Low-flow anesthesia techniques may reduce volatile agent consumption by 50-75% without compromising patient safety. Current evidence suggests that sustainable anesthesia practices can substantially reduce environmental impact while maintaining optimal patient safety. Strategies such as eliminating desflurane use, implementing low-flow techniques, and increasing TIVA utilization represent immediately implementable interventions with established safety profiles and demonstrated economic benefits. Implementation in diverse healthcare settings, including Asian contexts, requires tailored approaches considering regional practice patterns and resource availability.

Indexed as

AnesthesiologyPerioperative CareAnesthetics, InhalationDesfluraneGlobal WarmingGreenhouse GasesHumansAnesthetics, InhalationDesfluraneGreenhouse GasesAnesthesiaClimate changeDesfluraneGreenhouse gas emissionsLow-flow anesthesiaSustainabilityTotal intravenous anesthesia (TIVA)

Identifiers

What OpenQuestion holds

Textmetadata
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.