Evidence map›Paper›PMID 37946775›Full record

ArticleWorld journal of clinical cases2023

Artificial intelligence technology and ultrasound-guided nerve block for analgesia in total knee arthroplasty.

Sheng-Xiong Tong, Ren-Song Li, Dan Wang, Xiao-Meng Xie, Yuan Ruan, Lin Huang

Abstract read
In one paragraph

Article in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Moving towards the use of artificial intelligence in pain management.European journal of pain (London, England) · 2025
    Pooled it
  2. 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.

Sheng-Xiong TongDepartment of Pain Management, Wuhan First Hospital, Wuhan 430033, Hubei Province, China.
Ren-Song LiDepartment of Orthopaedics, Wuhan Wuchang Hospital, Wuhan 430063, Hubei Province, China.
Dan WangDepartment of Orthopaedics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, Hubei Province, China.
Xiao-Meng XieDepartment of Nursing, Huanggang Central Hospital, Huanggang 438000, Hubei Province, China.
Yuan RuanDepartment of Orthopaedics, Huanggang Central Hospital, Huanggang 438000, Hubei Province, China.
Lin HuangDepartment of Orthopaedics, Huanggang Central Hospital, Huanggang 438000, Hubei Province, China. lhuang0727@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnee diseases are more common in middle-aged and elderly people, so artificial knee replacement is also more used in middle-aged and elderly people. Although the patient's pain can be reduced through surgery, often accompanied by moderate pain after surgery and neutralization, which not only increases the psychological burden of the patient, but also greatly reduces the postoperative recovery effect, and may also lead to the occurrence of postoperative adverse events in severe cases.

aimTo investigate the analgesic effect of artificial intelligence (AI) and ultrasound-guided nerve block in total knee arthroplasty (TKA).

methodsA total of 92 patients with TKA admitted to our hospital from January 2021 to January 2022 were opted and divided into two groups according to the treatment regimen. The control group received combined spinal-epidural anesthesia. The research group received AI technique combined with ultrasound-guided nerve block anesthesia. The sensory block time, motor block time, visual analogue scale (VAS) at different time points and complications were contrasted between the two groups.

resultsThe time of sensory block onset and sensory block perfection in the research group was shorter than those in the control group, but the results had no significant difference (

conclusionIn TKA, the combination of AI technology and ultrasound-guided nerve block has a significantly effect, with fewer postoperative complications and significantly analgesic effect, which is worthy of application.

Indexed as

Analgesia effectsArtificial intelligence technologyNerve blocksTotal knee arthroplastyUltrasound guidance

Identifiers

PMID37946775
PMCPMC10631398

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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.