Evidence map›Paper›PMID 40357306›Full record

ArticleFrontiers in medicine2025

Retrospective and prospective: insights from a decade of anesthesiology trends for perioperative health care.

Wenjie Xu, Zizheng Suo, Yinyin Qu, Bowen Zhou, Yuxiang Zheng, Cheng Ni

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Wenjie Xu *Department of Anesthesiology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Zizheng Suo *Department of Anesthesiology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yinyin QuDepartment of Anesthesiology, Peking University Third Hospital, Beijing, China.
Bowen ZhouDepartment of Anesthesiology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yuxiang ZhengDepartment of Anesthesiology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Cheng NiDepartment of Anesthesiology, National Cancer Center / National Clinical Research Center for Cancer / Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyzes research trends in anesthesiology over the past decade (2013-2023) by conducting a systematic keyword analysis of articles published in leading anesthesia journals, including Anesthesia, British Journal of Anesthesia, Anesthesiology, Journal of Clinical Anesthesia, and Anesthesia & Analgesia. Using the Bibliometrix software package (R version 3.5.6), we identified temporal patterns and journal-specific preferences in research themes. Early trends emphasized pain management, neuromuscular blockade, and perioperative physiology, while the COVID-19 pandemic shifted focus toward respiratory management and pandemic-related concerns. In recent years, research priorities have increasingly highlighted perioperative brain health, including postoperative cognitive dysfunction and delirium, alongside the integration of artificial intelligence to optimize perioperative care. These findings reflect the evolving landscape of anesthesiology, with a growing emphasis on mitigating postoperative complications and addressing the cognitive outcomes of surgical patients-issues of relevance to aging populations. By bridging gaps between research innovations and clinical application, this study underscores the importance of multidisciplinary collaboration to enhance patient outcomes and inform public health strategies in the perioperative setting.

Indexed as

anesthesiologyartificial intelligencekeyword analysisperioperative brain healthpostoperative cognitive outcomes

Identifiers

PMID40357306
PMCPMC12066421

What OpenQuestion holds

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LicenceCC BY
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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.