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Daily Report

Daily Anesthesiology Research Analysis

12/09/2025
3 papers selected
3 analyzed

Three high-impact anesthesiology/critical care studies stood out: a large multicenter RCT (GA-CARES) found no survival advantage of propofol over volatile agents for oncologic surgery; a multicenter ICU study demonstrated an interoperable, automated system that monitors guideline adherence with higher accuracy and speed than human reviewers; and a pan-European prospective cohort (MOPED) revealed substantial variability in perioperative diabetes management and outcomes, underscoring the need for

Summary

Three high-impact anesthesiology/critical care studies stood out: a large multicenter RCT (GA-CARES) found no survival advantage of propofol over volatile agents for oncologic surgery; a multicenter ICU study demonstrated an interoperable, automated system that monitors guideline adherence with higher accuracy and speed than human reviewers; and a pan-European prospective cohort (MOPED) revealed substantial variability in perioperative diabetes management and outcomes, underscoring the need for harmonized care.

Research Themes

  • Onco-anesthesia and long-term cancer outcomes
  • AI-enabled automated guideline adherence in critical care
  • Perioperative diabetes management variability and outcomes

Selected Articles

1. Anesthesia Type during Cancer Surgery: Results of the GA-CARES Randomized, Multicenter Trial.

8.4Level IRCT
Anesthesiology · 2026PMID: 41363871

In this multicenter randomized trial of 1,763 patients undergoing high-risk cancer resections, propofol maintenance anesthesia did not improve overall survival compared with volatile agents. Per-protocol analyses suggested higher mortality in the propofol group at 2 years, with no benefit in disease-free survival.

Impact: This definitive RCT addresses a longstanding and controversial question in onco-anesthesia, countering prior observational suggestions that propofol confers oncologic benefit.

Clinical Implications: Volatile general anesthetics are a safe choice for cancer surgery from an oncologic outcomes perspective; routine switching to propofol for presumed survival benefit is unwarranted. Focus should shift to optimizing comprehensive perioperative cancer care pathways.

Key Findings

  • Intent-to-treat: no survival advantage with propofol vs volatile (HR 1.16; 95% CI 0.96–1.41; P=0.115).
  • Per-protocol: higher 2-year mortality in propofol group (25.5% vs 20%; HR 1.31; 95% CI 1.05–1.64; P=0.017).
  • No improvement in disease-free survival with propofol (HR 1.10; 95% CI 0.9–1.36; P=0.428).
  • High protocol adherence: 95.9% received assigned anesthetic exclusively.

Methodological Strengths

  • Pragmatic, multicenter randomized controlled design with large sample size.
  • High protocol adherence and both ITT and per-protocol analyses reported.

Limitations

  • Partially blinded design may introduce bias in perioperative management.
  • Heterogeneity across cancer types; not powered for individual tumor-specific effects.

Future Directions: Investigate mechanistic immunologic effects of anesthetic agents in defined tumor types and integrate anesthesia within standardized oncologic ERAS pathways to optimize long-term outcomes.

BACKGROUND: Surgical resection is a widely used treatment for cancer. Patients can be "seeded" with their own cancer cells during surgery, and it has been postulated that the immune response to these circulating cancer cells can influence recurrence risk. Some preclinical and retrospective studies have suggested that propofol-based general anesthesia may be superior to volatile halogenated ethers with respect to cell-mediated immunity, implantation of circulating tumor cells, and cancer-related outcomes, but there are limited data from large randomized clinical trials. METHODS: The General Anesthetics in Cancer Resection (GA-CARES) trial is a multicenter, pragmatic, investigator-initiated, partially blinded, randomized superiority trial. Adults at five U.S. centers undergoing surgical resection of cancers associated with poor outcomes (pancreas, esophagus, lung, stomach, bile ducts, liver, bladder, or peritoneal surface) were randomized (1:1) to receive exclusive use of either propofol or volatile agent for maintenance of general anesthesia. The intent-to-treat population included all randomized patients (n = 1,766) minus 3 patients who withdrew consent before surgery. The per-protocol population included patients completing surgery, with pathologically confirmed cancer, and receiving the assigned anesthetic drug. The primary endpoint was all-cause mortality (minimum 2-yr follow-up). Secondary endpoints included disease-free survival. RESULTS: Adherence to the protocol was high, with 95.9% of patients who had surgery receiving the assigned anesthetic exclusively. In contrast to the authors' hypothesis, propofol-treated patients did not exhibit better survival (propofol 230 deaths out of 881 [26.1%] vs. volatile 202 deaths out of 882 [22.9%]; hazard ratio, 1.16; 95% CI, 0.96 to 1.41; P = 0.115 by exact stratified log rank test) in the intent-to-treat population (n = 1,763). In the per-protocol population (n = 1,411), significantly more patients randomized to propofol died through 2-yr follow-up (25.5% vs. 20%; hazard ratio, 1.31; 95% CI, 1.05 to 1.64; P = 0.017). Results were similar for disease-free survival (hazard ratio, 1.10; 95% CI, 0.9 to 1.36; P = 0.428) and were consistent across numerous subgroups. CONCLUSIONS: Propofol-based anesthesia is not effective at improving cancer-related outcomes in patients undergoing resection of malignancies.

2. Multicenter Evaluation of an Interoperable System for Automated Guideline Adherence Monitoring in ICUs.

7.95Level IIICohort
Critical care medicine · 2025PMID: 41363995

Across five university hospitals and 82,000 ICU episodes, an interoperable system that digitally encodes guideline recommendations achieved 97% accuracy in assessing applicability and adherence—significantly outperforming expert human review—and processed data at massive scale. Real-world adherence varied by site and over time, influenced by documentation quality and evolving knowledge.

Impact: Demonstrates a scalable, interoperable approach to automated quality management in critical care that surpasses human performance, directly addressing the need for real-time adherence auditing.

Clinical Implications: Hospitals can deploy interoperable, digitally encoded guideline engines to monitor adherence at scale, identify gaps, and target interventions; robust structured documentation is critical to enable accurate automation.

Key Findings

  • Automated system accuracy 97.0% vs human 86.6% (p < 0.001) for applicability/adherence identification.
  • Throughput >2000 patient-days/second vs manual 2 patient-days/minute.
  • Adherence varied across sites and over time, influenced by documentation inconsistencies and evolving knowledge.
  • Six recommendations from 41 guidelines successfully translated into standardized digital format across disparate EHRs.

Methodological Strengths

  • Large multicenter cohort with heterogeneous hospital information systems demonstrating interoperability.
  • Direct comparison against expert human review with statistical testing and massive scale processing.

Limitations

  • Retrospective design limits causal inference on adherence determinants.
  • Dependence on structured and consistent documentation; unstructured data may reduce performance.

Future Directions: Expand to broader guideline sets, incorporate unstructured data (NLP), and test prospective deployment with feedback loops to improve adherence and outcomes.

OBJECTIVE: To develop, apply, and validate a system for evaluating critical care guideline adherence, and to identify factors influencing real-world adherence across hospitals. DESIGN: Retrospective, multicenter observational study evaluating guideline adherence over 3.5 years and comparing automated adherence monitoring against expert human review. SETTING: Five university hospitals with different clinical information systems and data infrastructures. PATIENTS: A total of 82,000 intensive care episodes (2.2 million patient days). Six representative recommendations were selected from 41 intensive care guidelines and translated into a standardized digital format. Expert review encompassed more than 18,000 patient days. INTERVENTIONS: An automated system that applies digitally encoded guideline recommendations to standardized patient data extracted from hospital information systems. MEASUREMENTS AND MAIN RESULTS: The system determined, for each patient and recommendation, whether the recommendation applied (applicability) and whether treatment followed it (adherence). The primary outcome was the system's accuracy in identifying guideline applicability and adherence compared with manual clinician reviews. The secondary outcome was an analysis of how adherence to these recommendations varied and which factors influenced their real-world implementation. The system achieved 97.0% accuracy in identifying guideline applicability and adherence, significantly outperforming human reviewers (86.6% accuracy, p < 0.001; McNemar's test). The processing speed of the system exceeded 2000 patient days per second, compared with manual review at 2 patient days per minute. Adherence rates varied substantially across participating sites and over time, reflecting documentation inconsistencies, evolving clinical knowledge, and challenges in maintaining strict compliance. CONCLUSIONS: The guideline adherence monitoring system was successfully applied in multiple hospitals, demonstrating higher accuracy and efficiency compared with human review. Limitations of the system included dependence on consistent and structured documentation, as inconsistencies significantly complicate adherence monitoring. As the system is designed to support any guideline in the digital format used here, it provides a scalable solution for automated quality management in critical care.

3. Management and Outcomes of Perioperative Care of People with Diabetes across Europe (MOPED): a prospective, observational study.

6.95Level IICohort
The Lancet regional health. Europe · 2026PMID: 41362298

Across 89 hospitals in 21 European countries, this prospective cohort of 6,126 surgical patients with diabetes found substantial between-country variation in perioperative practices and 30-day outcomes (DAH-30 median 26 [23–30] days). Type 1 diabetes patients more often had markedly elevated HbA1c than type 2, and lower HbA1c was associated with better outcomes in univariate analyses.

Impact: Provides contemporary, multinational benchmarks for perioperative diabetes care and highlights system-level variability affecting patient-centered outcomes.

Clinical Implications: Adopt standardized perioperative diabetes pathways, prioritize preoperative glycemic optimization, and use DAH-30 to benchmark and improve perioperative care quality across systems.

Key Findings

  • Significant between-country variability in perioperative diabetes management and DAH-30 (median 26 [23–30] days; P=0.0001).
  • Higher proportion of markedly elevated HbA1c (>69 mmol/mol) in type 1 vs type 2 diabetes (18% vs 7%).
  • Lower HbA1c associated with better 30-day outcomes in univariate analyses.
  • High follow-up completeness (97%) across 6,126 patients.

Methodological Strengths

  • Prospective, multinational cohort with broad hospital representation and high follow-up completeness.
  • Patient-centered primary outcome (DAH-30) aligned with contemporary perioperative quality metrics.

Limitations

  • Observational design with self-selected centers limits causal inference and may bias practice representation.
  • Incomplete detail on adjusted associations (e.g., multivariable analyses) in the abstract.

Future Directions: Develop and test harmonized, evidence-based perioperative diabetes pathways across Europe and assess their impact on DAH-30 and complications in pragmatic trials.

BACKGROUND: The prevalence of people with Diabetes Mellitus (DM) presenting for surgery is increasing. Guidelines on perioperative management are based on expert opinion with variability of practice likely. Our objective was to document perioperative management and 30-day outcomes of people with DM across Europe. METHODS: This was a prospective, observational study involving 89 hospitals across 21 European countries, ranging from district general to tertiary referral centres. Between January 2021 and February 2024, 6126 people with confirmed DM (any type except gestational) receiving surgery of any kind requiring anaesthesia were followed for 30 days. Centres were self-selected by anaesthesiology clinicians working there, who enrolled consecutive people with DM to a locally determined target number. There was 5936 (97%) 30-day follow-up completion. The primary outcome was Days at Home at 30 Days (DAH-30). Secondary outcomes included descriptive characteristics of perioperative management, dysglycaemia and incidence of postoperative complications. FINDINGS: There was significant variation between countries in perioperative DM management and 30-day outcomes, and variance in DAH-30 (median [range]) 26 [23-30] days, P = 0.0001). The proportion of people with DM with increased HbA1c (>69 mmol mol) was higher in T1DM compared with T2DM (n = 51, 18% vs n = 388, 7%; difference 11%, 95% CI 6-17; P = 0.002). In univariate analysis, there was an association between patients with lower HbA1c < 53 mmol mol INTERPRETATION: There is a need to harmonise international practice to reduce variability in perioperative diabetes management and 30-day outcome. FUNDING: The European Society of Anaesthesiology and Intensive Care (ESA-IC) funded administrative staff throughout the conduct of the study. The College of Anaesthesiologists of Ireland (CAI) and British Journal of Anaesthesia (BJA) partially contributed to data collection in Ireland and UK.