Evidence map›Paper›PMID 42714463›Full record

Observational studyA&A practice2026

Utilization and Estimation of Environmental Impact of End-Tidal Control in a Multisite Academic Health System: A Retrospective Observational Cross-Sectional Study.

Jonathon McBride, Elizabeth S Jewell, Xinyi Zhao, Rebecca Pantis, John W Beard, Nirav Shah, Thomas Klumpner, David G Hovord, Douglas A Colquhoun

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in A&A practice, 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

9 authors.

Jonathon McBrideFrom the Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Elizabeth S JewellFrom the Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Xinyi ZhaoFrom the Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Rebecca PantisFrom the Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
John W BeardGE HealthCare, Chicago, Illinois.
Nirav ShahFrom the Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Thomas KlumpnerFrom the Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
David G HovordFrom the Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.
Douglas A ColquhounFrom the Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, Michigan.

Funding

Data Driven Approaches to Improving Risk Prediction of Pulmonary Complications After Major Inpatient SurgeryK08HL159327 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI COLQUHOUN, DOUGLAS ALASTAIR · 2021 to 2025
$811k
NHLBI NIH HHS K08 HL159327
6 · The paper itself

Abstract

backgroundEnd-tidal control (ETC) is a technology new to the United States that enables automated titration of anesthetic gases while using low-flow anesthesia. Although previous, smaller clinical trials have demonstrated that ETC use leads to reductions in fresh gas flow (FGF), anesthetic agent consumptions, and carbon dioxide equivalents (CO2 equivalents) per hour of maintenance, there is limited information about large-scale deployment of ETC including detailed case information and real-world impact in a large academic health system. We sought to describe the utilization of ETC and quantify the impact of ETC utilization on FGF, sevoflurane consumption, and CO2 equivalents per hour of maintenance of anesthesia.

methodsData were obtained from an electronic health record-derived registry for adult patients receiving general anesthesia between April 1, 2023, and September 30, 2024, on an anesthesia machine with ETC available at University of Michigan Health-Ann Arbor locations. Utilization rates of ETC were calculated. Using multilevel mixed-effects models, we assessed case, in-room clinician, and attending anesthesiologist contributions to utilization of ETC and quantified the impact of ETC on FGF, sevoflurane consumption, and CO2 equivalents.

resultsIn 12,818 included general anesthetics, ETC was used in 6755 (52.7%). ETC use was associated with greater anesthesia duration (odds ratio [OR], 1.27 per hour; 95% confidence interval [CI], 1.23-1.31), involvement of a resident anesthesiologist (OR, 2.11; 95% CI, 1.56-2.86), and cases performed at an ambulatory surgical center (ASC; OR, 1.65; 95% CI, 1.3-2.09). Factors associated with decreased use of ETC included American Society of Anesthesiologists (ASA) physical status III to V (OR, 0.89; 95% CI, 0.80-0.99). In-room clinician explained 38.5% of the variation in ETC use compared to 3.9% due to attending anesthesiologist. ETC was associated with an adjusted difference in median FGF of -1.14 L/min (95% CI, -1.16 to -1.12), difference in mean FGF of -1.00 L/min (95% CI, -1.02 to -0.98), difference in sevoflurane consumption of -5.23 mL/h (95% CI, -5.34 to -5.10), and a difference in CO2 equivalents of -1.06 kg CO2 equivalents/hour (95% CI, -1.12 to -0.99) during maintenance.

conclusionsETC was used in approximately half of available cases. Variation in the decision to use was significantly driven by in-room anesthesia clinician, with wide variation within this group. Use of ETC was associated with a 62.3% reduction in median FGF and sevoflurane consumption of 39.3%.

Indexed as

Anesthesia, GeneralAnesthetics, InhalationAcademic Medical CentersCarbon DioxideCross-Sectional StudiesHumansRetrospective StudiesSevofluraneTidal VolumeAnesthetics, InhalationCarbon DioxideSevoflurane

Identifiers

PMID42714463
PMCPMC13557489

What OpenQuestion holds

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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.