Evidence map›Paper›PMID 40963576›Full record

SynthesisFrontiers in medicine2025

Analgesic efficacy of ultrasound-guided ESPB on metabolic surgery.

Ying Wang, Yan Liu, Wen Jie, Qiuya Yang, Fenglin Jiang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2025. 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
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.

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

5 authors.

Ying Wang *Department of Emergency, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, China.
Yan Liu *Department of Hospital Infection Management, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, China.
Wen Jie *Department of Emergency, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, China.
Qiuya Yang *Department of Emergency, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, China.
Fenglin Jiang *Department of Nursing, Pengzhou Peoples's Hospital, Pengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This systematic review and meta-analysis assessed the analgesic efficacy of ultrasound-guided ESPB in metabolic surgery. Methods: A systematic literature search of PubMed, the Cochrane Library, Web of Science, and Embase was conducted from database inception to February 2025 to identify randomized controlled trials (RCTs) comparing ultrasound-guided erector spinae plane block (ESPB) with either no block, sham block, or alternative regional analgesic techniques in patients undergoing metabolic surgery. Primary outcomes included 24 h postoperative opioid consumption, while secondary outcomes encompassed pain scores, time to first analgesic requirement, postoperative nausea and vomiting, and patient satisfaction. Risk of bias was assessed using the Cochrane Risk of Bias Tool, and evidence quality was evaluated using GRADE. Results: Ten RCTs involving 729 patients were included. ESPB significantly reduced 24 h opioid consumption [mean difference (MD): -6.68; 95% CI: -10.75, -2.61; Conclusion: Ultrasound-guided ESPB is an effective and safe analgesic technique for metabolic surgery, significantly reducing opioid consumption and pain scores while delaying the need for rescue analgesics. Systematic review registration: PROSPERO 2025 CRD420251000358. Available from https://www.crd.york.ac.uk/PROSPERO/view/CRD420251000358.

Indexed as

bariatric procedureserector spinae plane blockmeta-analysismetabolic surgeryregional anesthesia

Identifiers

PMID40963576
PMCPMC12436430

What OpenQuestion holds

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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.