Evidence map›Paper›PMID 39629142›Full record

ReviewJournal of pain research2024

The Efficacy of Liposomal Bupivacaine in Thoracic Surgery: A Systematic Review and Meta-Analysis.

Ruisong Gong, Gang Tan, Yuguang Huang

Abstract readReview
In one paragraph

Review in Journal of pain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

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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.

Ruisong GongDepartment of Anesthesiology, Peking Union Medical College Hospital, Beijing, 100730, People's Republic of China.ORCID 0000-0002-0595-3519
Gang TanDepartment of Anesthesiology, Peking Union Medical College Hospital, Beijing, 100730, People's Republic of China.
Yuguang HuangDepartment of Anesthesiology, Peking Union Medical College Hospital, Beijing, 100730, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Patients undergoing thoracic surgery suffer from severe postoperative pain, and a series of complications will occur if there is no effective analgesic treatment. Liposomal bupivacaine (LB) is a novel multivesicular formulation with up to 72 hours of analgesia, which can be used in thoracic surgery. This meta-analysis aimed to evaluate the efficacy of LB in improving recovery in patients undergoing thoracic surgery compared with non-liposomal local anesthetics. Patients and Methods: A literature search was conducted using PubMed, Cochrane Library, Embase, and Web of science, and to identify all observational or retrospective studies and randomized controlled trials (RCTs) from inception to December 2023. The primary outcome was the in-hospital postsurgical opioid consumption in morphine milligram equivalents (MMEs). Secondary outcomes included 24-hour postoperative MMEs, postoperative pain score in the first 24 and 48 hours, hospital length of stay (LOS), time to first ambulation, readmission, and perioperative complications. RevMan 5.3 was used for the data analysis. Results: A total of 10 studies were included in the analysis, of which eight were observational or retrospective analyses and two were RCTs. There were no significant differences in the postoperative MMEs, pain score, LOS, time to first ambulation, readmission, and perioperative complications. Conclusion: According to this meta-analysis, LB was found to be not superior to non-liposomal local anesthetics for analgesic and functional outcomes in thoracic surgery.

Indexed as

analgesicintercostal nerve blockliposomal bupivacainemeta-analysisthoracic surgery

Identifiers

PMID39629142
PMCPMC11611704

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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.