Evidence map›Paper›PMID 32541504›Full record

ArticleMedicine2020

The efficacy of ketamine in total knee arthroplasty: a randomized controlled trial protocol.

Jing Chen, Wei Hu, Shu-Ming Li, Xiao-Lin Li, Zhan-Min Yang

Expression of concernOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jing ChenDepartment of Orthopedics, Aerospace Center Hospital, Beijing.
Wei HuDepartment of Orthopedics, Ningxia Armed Police Corps Hospital, Ningxia Hui Autonomous Region.
Shu-Ming LiDepartment of Orthopedics, Aerospace Center Hospital, Beijing.
Xiao-Lin LiDepartment of Orthopedics, Ningxia Armed Police Corps Hospital, Ningxia Hui Autonomous Region.
Zhan-Min YangDepartment of Anesthesiology, Aerospace Center Hospital, Beijing, China.ORCID 0000-0003-0782-972
Aerospace Center Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAppropriate pain management is essential to improve the postoperative recovery after total knee arthroplasty (TKA). There is a paucity of literature on ketamine for TKA procedures. The aim of this study was to evaluate the analgesic efficacy of ketamine in patients undergoing primary TKA.

methodsThis study was designed as a prospective, double blind, single center, randomized controlled trial. The participants were randomly assigned to either the ketamine or placebo groups, using a set of random numbers for the allocation sequence. All patients underwent TKA without patella resurfacing under spinal anesthesia. Preoperative workup, surgical technique, and postoperative management were standardized for all the patients. The primary outcome of this noninferiority study is opioid consumption within the first 24 hours following surgery, pain scores, distance ambulated, patient satisfaction, length of hospital stay, and complications.

resultsThe results of this study were expected to provide useful information on the effectiveness and safety of ketamine for immediate postoperative analgesia after TKA surgery.

trial registrationThis study protocol was registered in Research Registry (researchregistry5575).

Indexed as

Arthroplasty, Replacement, KneeAnalgesicsDouble-Blind MethodEquivalence Trials as TopicHumansKetaminePain ManagementPostoperative PainProspective StudiesRandomized Controlled Trials as TopicTreatment OutcomeAnalgesicsKetamine

Identifiers

PMID32541504
PMCPMC7302669
OpenAlexW3034831211

What OpenQuestion holds

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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.