Evidence map›Paper›PMID 36505594›Full record

ArticleJournal of family medicine and primary care2022

Effect of intra-articular hyalase, Ketorolac, marcaine and triamcinolone, versus Ketorolac, marcaine and triamcinolone for reducing knee joint pain other than joint replacement.

Maryam Daneshian, Maryam Montazemi, Ali Abbaskhani Davanloo

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 72% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 2 countries.

Maryam DaneshianProfessor of Anesthesiology, Mazandaran University of Medical Sciences, Mazandaran, Iran.
Maryam MontazemiProfessor of Anesthesiology, Mazandaran University of Medical Sciences, Mazandaran, Iran.
Ali Abbaskhani DavanlooProfessor of Anesthesiology, Mazandaran University of Medical Sciences, Mazandaran, Iran.
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Knee pain is one of the causes of physiological complications in patients with osteoarthritis of the knee. It is necessary to provide a solution to reduce pain in these patients. Our study aimed to compare the effect of intra-articular hyalase, ketorolac, marcaine, and triamcinolone versus ketorolac, marcaine, and triamcinolone for reducing knee joint pain after knee surgery. Methods: This clinical study was performed on 30 candidates for knee surgery other than knee replacement from 2019 to 2020. The patients were randomly divided into two groups: hyalase, ketorolac, marcaine, and triamcinolone (group 1) and ketorolac, marcaine, and triamcinolone (group 2). The patient's pain score was recorded by the Numeric Rating Scale (NRS) and range of motion (ROM) at the end of the first week, the end of the first month, and the end of the third month as well as the sixth month and the twelfth month after surgery. Results: The mean age of the patients was 42.3 years. On average, the group receiving hyalase (first group) received about 30% better scores and had less pain ( Conclusion: Adding hyalase to ketorolac, marcaine, and triamcinolone could improve pain control in the short and long term and this could be capable of reducing the need for additional drugs.

Indexed as

Hyalaseintra-articular injectionketorolacknee joint pain

Identifiers

PMID36505594
PMCPMC9730945
OpenAlexW4311283138

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.