Evidence map›Paper›PMID 37199861›Full record

ArticlePain and therapy2023

Virtual Pain Unit Is Associated with Improvement of Postoperative Analgesia Quality: A Retrospective Single-Center Clinical Study.

Guanyu Yang, Shanshan Zuo, Pengfei Wang, Yue Yin, Xiaowei Zhang, Yanling Ma, Gang Quan, Yueli Zhang, Xin Zhao, Huan Qu and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pain and therapy, 2023. 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
0.3field-weighted citation impact, top 41% of its field
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 citations in OpenAlex.

  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

15 authors at 1 institution in 1 country.

Guanyu Yang *Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Shanshan Zuo *Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Pengfei Wang *Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Yue YinDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Xiaowei ZhangDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Yanling MaDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Gang QuanDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Yueli ZhangVirtual Pain Unit, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Xin ZhaoDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Huan QuDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Piao ZhouDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Xiaofei ZhangDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Huaibin ZhangDepartment of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China.
Hongkai Lian *Virtual Pain Unit, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China. lhklzdavid716@zzu.edu.cn.
Qinjun Chu *Department of Anesthesiology and Perioperative Medicine, Zhengzhou Central Hospital, Zhengzhou University, Zhengzhou, China. jimmynetchu@163.com.ORCID http://orcid.org/0000-0001-9210-5691
Zhengzhou Central Hospital · CN

Funding

Zhengzhou Bureau of Science and Technology evaluation of virtual pain unitZhengzhou Bureau of Science and Technology Study on the construction
6 · The paper itself

Abstract

introductionAcute postoperative pain is a major concern among surgical patients. Thus, this study established a new acute pain management model and compared the effects of the acute pain service (APS) model in 2020 and the virtual pain unit (VPU) model in 2021 on postoperative analgesia quality.

methodsThis retrospective, single-center clinical study involved 21,281 patients from 2020 to 2021. First, the patients were grouped on the basis of their pain management model (APS and VPU). The incidence of moderate to severe postoperative pain (MSPP) [numeric rating scale (NRS) score ≥ 5], postoperative nausea and vomiting (PONV), and postoperative dizziness were recorded.

resultsThe VPU group recorded significantly lower MSPP incidence (1-12 months), PONV, and postoperative dizziness (1-10 months and 12 months) compared with the APS group. In addition, the annual average incidence of MSPP, PONV, and postoperative dizziness in the VPU group was significantly lower than in the APS group.

conclusionsThe VPU model reduces the incidence of moderate to severe postoperative pain, nausea, vomiting, and dizziness; hence, it is a promising acute pain management model.

Indexed as

Acute pain servicePostoperative analgesiaVirtual pain unit

Identifiers

PMID37199861
PMCPMC10290007
OpenAlexW4377011285

What OpenQuestion holds

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LicenceCC BY-NC
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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.