Evidence map›Paper›PMID 41987795›Full record

ReviewFrontiers in medicine2026

Impact of anesthetic drugs and modalities on the postoperative outcomes in cancer patients: a literature review.

Yangyang Ge, Xiaochen Qi, Tianzhi Chang, Yong Luan

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 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

4 authors.

Yangyang GeFirst Affiliated Hospital, Dalian Medical University, Dalian, China.
Xiaochen QiFirst Affiliated Hospital, Dalian Medical University, Dalian, China.
Tianzhi ChangFirst Affiliated Hospital, Dalian Medical University, Dalian, China.
Yong LuanFirst Affiliated Hospital, Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Growing evidence suggests that perioperative anesthesia management may influence long-term oncologic outcomes. This review synthesizes the existing evidence on the impact of anesthetic drugs and modalities on postoperative immunity, recurrence, and survival in cancer patients. Methods: A systematic literature search was conducted in PubMed, Embase, Cochrane Library, and Web of Science from January 2000 to October 2025. Keywords included combinations of "anesthesia," "anesthetic," "cancer," "oncology," "postoperative," "recurrence," "immunity," and "survival." Clinical trials, cohort studies, and meta-analyses were included. Case reports and non-English studies were excluded. Results: Anesthetic choices exert multidimensional effects. Total intravenous anesthesia (TIVA) with propofol and regional anesthesia (RA) techniques are associated with better preservation of natural killer (NK) cell and T-lymphocyte function compared to volatile anesthetics and high-dose opioids. Opioids, particularly morphine, demonstrate dose-dependent immunosuppression (15-30% NK cell reduction). Meta-analyses indicate RA may reduce recurrence risk (OR = 0.82, Conclusion: While preclinical and clinical data suggest that anesthetic strategy can modulate cancer-related outcomes, the evidence is heterogeneous. The observed benefits may be context-dependent, influenced by tumor type, surgical stress, and patient factors. There is an urgent need for large-scale, prospective RCTs with standardized endpoints to establish causal relationships and inform evidence-based, personalized anesthesia protocols for oncology patients.

Indexed as

anesthesiaanesthetic drugcancer prognosiscancer prognosticscancer therapyimmunomodulationpostoperative management

Identifiers

PMID41987795
PMCPMC13076469

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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.