Evidence map›Paper›PMID 32957340›Full record

ArticleMedicine2020

Analgesic effects of low-dose ketamine after spinal fusion in adults: A protocol of prospective randomized trial.

Hua Wang, Long Ma, Yongxue Chen

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
0.2field-weighted citation impact, top 44% 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, 2 citations in OpenAlex.

  1. Effects of Ramosetron on Nausea and Vomiting Following Spinal Surgery: A Meta-Analysis.Current therapeutic research, clinical and experimental · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 3 countries.

Hua WangDepartment of Anesthesiology, Handan Central Hospital, Hebei Province, China.
Long Ma
Handan College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with spinal fusion often have opioid tolerance and chronic pain, which makes it difficult to control postoperative pain. In this double-blind, randomized, prospective study, we assessed the safety and efficacy of intravenous low-dose ketamine for the treatment of pain in patients undergoing the lumbar spinal fusion.

methodsThis randomized, prospective, double-blind and placebo-controlled study was approved via the hospital institutional review committee. Patients were registered with signed written consent. All the floor nurses, recovery room and surgeons, patients, statisticians as well as research assistants were unaware of the grouping. The patients were randomly divided into ketamine group and control group by random number table. Nausea, vomiting or vomiting, the intensity of pain, adverse events, cumulative morphine consumption, as well as the amount of extra antiemetics or analgesics were evaluated at 6 hours, 12 hours, 24 hours, 36 hours, and 48 hours after the operation. P < .05 was considered to be the statistically significant. The Statistical Package for the software of Social Sciences 20.0 was utilized for statistical analysis.

conclusionsFor the present trial, we assumed that intravenous ketamine could improve the satisfaction of patient by reducing the total consumption of morphine equivalent and the pain scores.

trial registrationThis study protocol was registered in Research Registry (researchregistry5896).

Indexed as

Spinal FusionAnalgesicsDouble-Blind MethodHumansKetaminePain MeasurementPostoperative PainProspective StudiesRandomized Controlled Trials as TopicAnalgesicsKetamine

Identifiers

PMID32957340
PMCPMC7505386
OpenAlexW3087167520

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.