Evidence map›Paper›PMID 39525049›Full record

Trial reportDrug design, development and therapy2024

Intraoperative Non-Opiate Anesthesia for Patients Undergoing Arthroscopic Temporomandibular Joint Surgery: A Randomized Controlled Trial.

He Ma, Juan Perez, Julia Bertsch, Marissa L Albanese, Elizabeth G Korn, Ariel Mueller, Timothy Houle, Briana June Burris, Joseph McCain, Jingping Wang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug design, development and therapy, 2024. 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. 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

10 authors.

He MaDepartment of Anesthesiology, the Second Hospital of Jilin University, Changchun, People's Republic of China.
Juan PerezDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Julia BertschDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Marissa L AlbaneseDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Elizabeth G KornDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0009-0000-8899-8108
Ariel MuellerDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Timothy HouleDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Briana June BurrisDepartment of Oral & Maxillofacial Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Joseph McCainDepartment of Oral & Maxillofacial Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-2833-4438
Jingping WangDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-2699-1650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pain intensity after temporomandibular joint (TMJ) surgery is often underestimated, and inadequate pain control may relate to poor recovery quality, increased opioid consumption, and longer hospital stay. This trial aims to evaluate whether non-opiate anesthesia provides a promising option of pain management for patients undergoing TMJ surgery. Methods: Sixty patients receiving TMJ surgery were randomly assigned to either the control group or the non-opiate group. Non-opiate anesthesia used lidocaine, dexmedetomidine, and ketamine infusion therapy for pain management. The primary outcome was the highest documented pain score while in the post-anesthesia care unit (PACU). Secondary outcomes included perioperative opioid consumption, utilization, dosage, and timing of rescue analgesia in the PACU, incidence of postoperative nausea and vomiting in the PACU and at home, pain satisfaction levels, occurrence of opioid-related adverse effects, duration of PACU and hospital stays, and total consumption of oxycodone-acetaminophen tablets at 24 and 48 hours post-surgery. Results: Patients were predominantly female (88.3%) and had a median age of 37.5 [IQR 26.0, 52.5] years. There were no significant differences observed in the highest documented pain scores (mean difference [MD] -0.36 points, 95% CI: -1.84, 1.12, p = 0.63), postoperative oxycodone-acetaminophen consumption (MD 6.68 mg, 95% CI: -2.48, 15.84, p = 0.15), pain satisfaction (odds ratio [OR] 0.81, 95% CI: 0.23, 2.81, p = 0.74), time to PACU discharge (hazard ratio [HR] 1.24, 95% CI: 0.67, 2.30, p = 0.49) or time to hospital discharge (HR 1.48, 95% CI: 0.80, 2.75, p = 0.21) between the two groups. Similarly, no significant difference was observed in time to rescue analgesia, calculated in minutes from the end of surgery (HR 1.69, 95% CI: 0.79, 3.61, p = 0.18). Conclusion: Non-opiate anesthesia for pain management shows a similar postoperative analgesia effect, compared to opioid-based anesthesia, in patients undergoing arthroscopic TMJ surgery.

Indexed as

ArthroscopyTemporomandibular JointAdultAnalgesics, OpioidAnesthesiaDexmedetomidineFemaleHumansKetamineLidocaineMaleMiddle AgedPain ManagementPostoperative PainAnalgesics, OpioidDexmedetomidineKetamineLidocaineanesthesianon-opiatesurgerytemporomandibular jointtemporomandibular joint disorders

Identifiers

PMID39525049
PMCPMC11546274

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Registered trials

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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.