Turn a newly registered trial into a decision-ready clinical landscape. This report examines NCT07706348 using PatSnap Clinical Trials MCP for protocol design and endpoint evidence, with Drug & Asset MCP and Company & Deal Intelligence MCP used as the companion asset and sponsor enrichment workflow. Explore PatSnap MCP Servers to reproduce the research sequence inside an AI workflow.
MCP evidence snapshot: 3 August 2026. Trial records, recruitment status and projected dates can change after the snapshot and should be rechecked before operational decisions.
Pain, Postoperative is being segmented by mechanism, treatment setting, geography and endpoint architecture. NCT07706348 is notable because it evaluates Ondansetron Hydrochloride in a Phase 1/2 design sponsored by Assiut University. The main development question is whether the protocol can translate its rationale into a clinically interpretable and operationally credible readout.
| Field | Indexed detail |
|---|---|
| Registration | NCT07706348 |
| Official title | Intraperitoneal Irrigation of Ondansteron in Combination With Lidocaine in Acute Postoperative Pain |
| Phase / status | Phase 1/2 / Recruiting |
| Intervention | Ondansetron Hydrochloride |
| Sponsor | Assiut University |
| Geography | Egypt |
| Enrollment | [object Object] |
| Primary endpoint | total morphine consumption |
| Endpoint time frame | in the first 24 hours postoperative |
| Primary completion / readout proxy | [object Object] |
This study, therefore, aimed to investigate the effect of intraperitoneal administration of ondansetron in combination to lidocaine for postoperative pain management in patients undergoing lower abdominal cancer surgery.
Allocation is Randomized, masking is Double, and the intervention model is Parallel Assignment. Planned enrollment of [object Object] participants across Egypt shapes statistical precision, execution risk and external validity. Interpretation should account for baseline risk, prior therapy, assessment schedule, missing-data handling and clinical relevance—not only statistical significance.
The current protocol points to [object Object] as the best available readout proxy. Because this is an active or newly posted study, a trial-specific result citation is not included until a normalized clinical-trial-result record becomes available. That gap is itself operationally important: teams should monitor first result indexing, conference abstracts, protocol amendments and changes to the primary-completion date.
Build a living trial monitor: connect to PatSnap MCP Servers and track recruitment, endpoint revisions, projected readouts and new result records without manually reconciling separate databases.
Drug & Asset MCP profile: Ondansetron Hydrochloride is indexed as Small molecule drug, with target HTR3, mechanism 5-HT3 receptor antagonists, and global highest development status Approved.
Company & Deal Intelligence MCP profile: Assiut University is resolved to a normalized organization record in Egypt. The organization workflow adds identity, location, portfolio and partnering context where available.
The sponsor profile matters because scientific rationale alone does not determine development value. Manufacturing readiness, portfolio fit, geographic reach, partnering capacity and the ability to fund confirmatory development can determine whether a positive signal becomes a competitive asset.
Monitor recruitment, enrollment changes, protocol amendments, endpoint hierarchy, primary-completion timing, first result indexing, asset ownership and sponsor partnerships. A change in endpoint, population or ownership can alter the probability of success before a headline data release.
NCT07706348 provides a focused lens on Pain, Postoperative development. Its value will be determined by whether Ondansetron Hydrochloride can convert the current Phase 1/2 design into evidence that is clinically meaningful, operationally credible and differentiated from competing programs.
Ready to reproduce this analysis? Explore PatSnap MCP Servers and combine Clinical Trials, Drug & Asset, and Company & Deal Intelligence as reusable building blocks for trial monitoring and SEO-ready clinical reports.