Evidence map›Paper›PMID 41022457›Full record

ArticleBMJ open2025

Minimum effective dose of betamethasone for incisional local infiltration for the prevention of postoperative pain after spine surgery: study protocol for a randomised controlled trial.

Yitong Wang, Bo Han, Chunmei Zhao, Hao Ren, Wenqing Jia, Fang Luo

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06785350 (Minimum Effective Dose of Incisional Local Infiltration Betamethasone for the Prevention of Pain After Spinal Surgery), which is not on this 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.

NCT06785350 narecruitingnot on this map

Minimum Effective Dose of Incisional Local Infiltration Betamethasone for the Prevention of Pain After Spinal Surgery: a Randomised Controlled Trial

TypeinterventionalSponsorBeijing Tiantan HospitalRan2025 to 2025Enrolled535ConditionsPain Management, Spine SurgeryArms0.012%diprospan+0.5%ropivacaine, 0.009%diprospan+0.5%ropivacaine, 0.006%diprospan+0.5ropivacaine, 0.003%diprospan+0.5%ropivacaine, 0.5%ropivacaine
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

6 authors.

Yitong Wang *Department of Pain Management, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China.
Bo Han *Department of Neurosurgery, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China.
Chunmei ZhaoDepartment of Pain Management, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0001-7734-4192
Hao RenDepartment of Pain Management, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China.
Wenqing JiaDepartment of Neurosurgery, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China 13611326978@163.com coffeemd@163.com.ORCID http://orcid.org/0000-0003-2893-9784
Fang LuoDepartment of Pain Management, Beijing Tiantan Hospital Affiliated to Capital Medical University, Beijing, China 13611326978@163.com coffeemd@163.com.ORCID http://orcid.org/0000-0002-8781-6576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPostoperative pain is particularly pronounced in spinal surgery. Inadequate management of acute postoperative pain not only reduces patient satisfaction and delays recovery but also increases the risk of developing chronic pain. Local infiltration analgesia (LIA) is a widely used technique for perioperative pain management. However, even with the use of long-acting local anaesthetics, such as ropivacaine, postoperative analgesia often remains insufficient. Preliminary evidence suggests that combining diprospan, a mixture of betamethasone disodium phosphate and betamethasone dipropionate, with ropivacaine can significantly reduce analgesic requirements in the immediate postoperative period. However, concerns about steroid-related complications, including hyperglycaemia and surgical site infections, highlight the need to identify the minimum diprospan concentration to achieve a balance between efficacy and safety. This randomised, controlled, evaluator-blinded trial aims to investigate the dose-response relationship of diprospan as an adjunct to ropivacaine for LIA in spinal surgery to determine the minimum effective dose for effective and safe pain management. METHODS AND ANALYSIS: This is a single-centre, randomised, evaluator-blinded, controlled, dose-mapping study in which subjects will be randomised in a 1:1:1:1:1 ratio to the control group or to receive diprospan at concentrations of 0.003%, 0.006%, 0.009% or 0.012%. Patients will receive either 0.5% ropivacaine alone or a corresponding dose of diprospan combined with 0.5% ropivacaine for LIA. All participants will be followed for a duration of 3 months. The primary outcome measure will be cumulative sufentanil consumption within the first 48 hours postsurgery. Secondary outcomes will include additional assessments of analgesia, steroid-related adverse events and other complications within the 3-month follow-up period. ETHICS AND DISSEMINATION: This study protocol was approved by the Institutional Review Board of Beijing Tiantan Hospital (KY2024-365-02-1). Written informed consent will be obtained from all participants. The results will be submitted for publication in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: NCT06785350.

Indexed as

Anesthetics, LocalBetamethasonePostoperative PainSpineDose-Response Relationship, DrugHumansPain ManagementPain MeasurementRandomized Controlled Trials as TopicRopivacaineAnesthetics, LocalBetamethasoneRopivacainePain managementRandomized Controlled TrialSpine

Identifiers

PMID41022457
PMCPMC12481347

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Registered trials

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.