Postoperative PainNCT07803575
A Predictive Model for Postoperative Analgesic Requirements After Abdominal Surgery
An observational study of Postoperative Pain and Postoperative Analgesia, run by Chaw Sook Hui at 1 site in Malaysia.
Trial summary
Postoperative pain remains a common challenge after abdominal surgery despite the use of standard multimodal pain management strategies. Poorly controlled pain can delay recovery, limit early mobilisation, reduce patient comfort, and increase the risk of longer-term pain problems. Read more about this study
- Who is it for?
- Ages 18 to 75 years
- Conditions the study is for
- Postoperative Pain, Postoperative Analgesia, Opioid Analgesic Requirement
- Type of treatment
- Injection or infusion
- How many people
- 65 participants
- Where
- 1 siteMalaysia
- Study dates
- Jan 2027to Jun 2028
- How long will I take part?
- 2 Days
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 75 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Adults undergoing elective abdominal surgery under general anaesthesia will be enrolled in this prospective observational cohort study. The study population represents patients experiencing the early postoperative recovery phase, where pain trajectories and analgesic requirements vary substantially between individuals. Participants will be observed during the first 48 hours after surgery to characterise patterns of rescue analgesic use and postoperative pain. The study aims to develop a predictive model of postoperative analgesic requirements by integrating analgesic administration patterns with patient and surgical characteristics. The findings will support a better understanding of individual variability in postoperative pain management and provide a foundation for future personalised analgesic strategies.
Who may be able to join
- Adult patients aged 18-75 years
- American Society of Anesthesiologists (ASA) physical status I-III
- Elective open or laparoscopic abdominal surgery under general anaesthesia
- Expected postoperative ward or high-dependency unit (HDU) stay of ≥ 48 hours
- Ability to provide written informed consent in Bahasa Malaysia or English
- Ability to comprehend and self-report pain using the Numerical Rating Scale (NRS, 0-10)
Who cannot join
- Chronic opioid therapy, defined as regular opioid use for ≥ 4 weeks prior to surgery
- Severe hepatic impairment (Child-Pugh Class B or C) or severe renal impairment (eGFR < 30 mL/min/1.73 m²)
- Known allergy or hypersensitivity to morphine or any opioid analgesic
- Cognitive impairment (documented diagnosis of dementia or delirium), language barrier, or communication deficit precluding reliable NRS self-report
- Documented history of substance use disorder (including opioid use disorder)
- Withdrawal of informed consent at any point
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Malaysia1 site
Universiti Malaya Medical Centre
Kuala Lumpur, 59100
SOOK HUI CHAW, PHD, +603-79494422, sh_chaw@um.edu.my
About this study
Official title: Quantitative Analysis of Postoperative Analgesia Following Abdominal Surgery Using Repeated Time-to-Event Modelling of Rescue Analgesic Administration
Postoperative pain remains a common challenge after abdominal surgery despite the use of standard multimodal pain management strategies. Poorly controlled pain can delay recovery, limit early mobilisation, reduce patient comfort, and increase the risk of longer-term pain problems.
This study aims to develop a predictive model to better understand and anticipate patients' postoperative pain relief needs after abdominal surgery. The study will observe adults undergoing elective abdominal surgery and collect information on their pain scores, pain medication use, surgical characteristics, and recovery during the first 48 hours after surgery.
Read more
Participants will receive standard postoperative pain management according to usual clinical practice. The study will analyse patterns of rescue pain medication use, including when and how often additional pain relief is required after surgery. The collected information will be used to develop a model that can predict factors associated with increased pain medication requirements.
The goal of this research is to improve understanding of individual differences in postoperative pain and provide a foundation for more personalised pain management strategies in the future. The findings may help healthcare providers identify patients who are more likely to require additional pain relief and support the development of safer and more effective approaches to postoperative pain control.
Read the detailed description
Postoperative pain remains a significant clinical challenge following abdominal surgery. Although multimodal analgesic strategies are widely implemented, many patients continue to experience moderate-to-severe pain during the early postoperative period and require repeated rescue analgesic administration. Current approaches to evaluate postoperative analgesic requirements often rely on total opioid consumption or time to first rescue analgesia. However, these methods may not fully capture the dynamic and repeated nature of postoperative pain and analgesic demand.
This study aims to develop a predictive model to characterise postoperative analgesic requirements in adults undergoing elective abdominal surgery. The study will use repeated time-to-event pharmacokinetic-pharmacodynamic modelling to analyse the timing and pattern of rescue morphine administration during the first 48 hours after surgery.
This is a prospective observational cohort study involving adult patients undergoing elective open or laparoscopic abdominal surgery under general anaesthesia. Participants will receive standard postoperative analgesic management according to routine clinical practice. No changes to clinical care will be introduced as part of the study.
Data collected will include patient demographics, surgical characteristics, anaesthetic details, postoperative pain scores, and analgesic administration records. Rescue analgesic events will be captured from patient-controlled analgesia (PCA) device records, including the timing and dose of successful morphine administrations. Individual morphine exposure will be estimated using documented dosing histories and published population pharmacokinetic parameters.
The collected data will be analysed using repeated time-to-event pharmacokinetic-pharmacodynamic modelling. The model will evaluate factors influencing the likelihood of requiring rescue analgesia over time, including temporal patterns, circadian effects, morphine exposure, and patient or surgical characteristics. Model performance will be assessed using simulation-based evaluation methods, including predictive checks and bootstrap analysis.
The expected outcome of this study is the development of a validated predictive framework for postoperative analgesic requirements after abdominal surgery. This model may provide a foundation for future personalised analgesic strategies, allowing earlier identification of patients at higher risk of inadequate pain control and supporting safer, more effective postoperative pain management.
- Conditions
- Postoperative Pain, Postoperative Analgesia, Opioid Analgesic Requirement, Pain Management After Abdominal Surgery
- Being tested
- Intravenous Morphine Patient-Controlled Analgesia
- Keywords
- Postoperative Pain, Postoperative Analgesia, Patient-Controlled Analgesia, Repeated Time-to-Event Modelling, Pharmacokinetic-Pharmacodynamic Modelling, Model-Informed Precision Dosing
- Medical subject headings
- Pain, Postoperative
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Intravenous Morphine Patient-Controlled AnalgesiaDrug
Participants will receive intravenous morphine via patient-controlled analgesia (PCA) as part of standard postoperative analgesic management following elective abdominal surgery. The study does not assign or modify analgesic treatment. Morphine PCA usage, including timing and dose of successful administrations, will be recorded to characterise postoperative analgesic requirements using repeated time-to-event modelling.
| Study group | Role | What they receive |
|---|---|---|
| Adult Patients Undergoing Elective Abdominal Surgery | Adult patients aged 18-75 years undergoing elective open or laparoscopic abdominal surgery under general anaesthesia will be enrolled in this prospective observational cohort. Participants will receive standard postoperative analgesic management according to routine clinical practice. Rescue analgesia will be provided using intravenous morphine via patient-controlled analgesia (PCA), and the timing and dose of successful analgesic administrations will be recorded during the first 48 hours after surgery. Patient demographics, surgical characteristics, pain scores, and analgesic administration data will be collected to develop a predictive model of postoperative analgesic requirements. Receives: Drug: Intravenous Morphine Patient-Controlled Analgesia |
What is being measured
The primary outcome is the main question the study is designed to answer.
Rescue Analgesic Administration Events During the First 48 Hours After Abdominal Surgery
The number and timing of successful rescue analgesic events following elective abdominal surgery. A rescue analgesic event is defined as each successful patient-controlled analgesia (PCA) activation resulting in intravenous morphine delivery. The repeated occurrence and timing of rescue analgesic events will be analysed using repeated time-to-event modelling to characterise postoperative analgesic requirements.
Measured: Up to 48 hours after completion of surgery
Secondary outcomes (2)
Postoperative Pain Scores
Pain intensity measured using the Numerical Rating Scale (NRS; 0-10) at predefined postoperative time points, including before and after rescue analgesic administration.
Measured: At PACU arrival/ every 15 minutes during PACU stay/ every 4 hours up to 48 hours after surgery
Morphine Exposure and Relationship With Rescue Analgesic Hazard
Relationship between predicted morphine plasma concentration derived from individual dosing histories and the hazard of subsequent rescue analgesic administration.
Measured: Up to 48 hours after completion of surgery
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Sep 2026
- Study startJan 2027 (estimated)
- Primary completionJul 2027 (estimated)
- Study completionJun 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (7)Papers the sponsor has linked to this study.
- Other trials for Postoperative PainStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 65 participants (estimated)
- Target duration
- 2 Days
Sponsor and investigators
- Lead sponsor
- Chaw Sook Hui
- Sponsor type
- University, hospital or other
- Collaborators
- University of Malaya
- Responsible party
- Sponsor-investigator, Chaw Sook Hui, University of Malaya
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07803575
- Sponsor's protocol ID
- 2026223-16373
- Other IDs
- NMRR ID-26-02772-RUY
- Status last verified
- Sep 2026
- First submitted
- 25 Jul 2026
- Last updated
- 3 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: A formal plan for sharing individual participant data has not yet been established. Any future data sharing will be considered after completion of the study, publication of the primary findings, and approval by the relevant institutional ethics committee. If data sharing is undertaken, only de-identified data will be considered, and access will be subject to appropriate data protection measures and institutional requirements.
Publications
Ahlers SJ, Valitalo PA, Peeters MY, Gulik Lv, van Dongen EP, Dahan A, Tibboel D, Knibbe CA. Morphine Glucuronidation and Elimination in Intensive Care Patients: A Comparison with Healthy Volunteers. Anesth Analg. 2015 Nov;121(5):1261-73. doi: 10.1213/ANE.0000000000000936.
PubMed 26332855Xiberras M, et al. RTTE modelling of morphine PD for analgesia after paediatric cardiac surgery. PAGE 2024.
Goulooze SC, Krekels EH, Saleh MA, Ahlers SJ, Valitalo PA, van Dongen EP, van Schaik RH, Hankemeier T, Tibboel D, Knibbe CAJ. Predicting Unacceptable Pain in Cardiac Surgery Patients Receiving Morphine Maintenance and Rescue Doses: A Model-Based Pharmacokinetic-Pharmacodynamic Analysis. Anesth Analg. 2021 Mar 1;132(3):726-734. doi: 10.1213/ANE.0000000000005228.
PubMed 33122543Juul RV, Nyberg J, Kreilgaard M, Christrup LL, Simonsson USH, Lund TM. Analysis of opioid consumption in clinical trials: a simulation based analysis of power of four approaches. J Pharmacokinet Pharmacodyn. 2017 Aug;44(4):325-333. doi: 10.1007/s10928-017-9522-4. Epub 2017 Apr 7.
PubMed 28389762Juul RV, Rasmussen S, Kreilgaard M, Christrup LL, Simonsson US, Lund TM. Repeated Time-to-event Analysis of Consecutive Analgesic Events in Postoperative Pain. Anesthesiology. 2015 Dec;123(6):1411-9. doi: 10.1097/ALN.0000000000000917.
PubMed 26495978Apfelbaum JL, Chen C, Mehta SS, Gan TJ. Postoperative pain experience: results from a national survey suggest postoperative pain continues to be undermanaged. Anesth Analg. 2003 Aug;97(2):534-540. doi: 10.1213/01.ANE.0000068822.10113.9E.
PubMed 12873949Kehlet H, Jensen TS, Woolf CJ. Persistent postsurgical pain: risk factors and prevention. Lancet. 2006 May 13;367(9522):1618-25. doi: 10.1016/S0140-6736(06)68700-X.
PubMed 16698416
Study at a glance
From the registry record, last updated by the sponsor on 3 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Quantitative Analysis of Postoperative Analgesia Following Abdominal Surgery Using Repeated Time-to-Event Modelling of Rescue Analgesic Administration
- ClinicalTrials.gov ID
- NCT07803575
- Acronym / sponsor ID
- 2026223-16373
- Conditions
- Postoperative Pain, Postoperative Analgesia, Opioid Analgesic Requirement, Pain Management After Abdominal Surgery
- Keywords
- Postoperative Pain, Postoperative Analgesia, Patient-Controlled Analgesia, Repeated Time-to-Event Modelling, Pharmacokinetic-Pharmacodynamic Modelling, Model-Informed Precision Dosing
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 65 participants (estimated)
- Lead sponsor
- Chaw Sook HuiUniversity, hospital or other
- Collaborators
- University of Malaya
- Study start
- Jan 2027 (estimated)
- Primary completion
- Jul 2027 (estimated)
- Study completion
- Jun 2028 (estimated)
- First posted
- 3 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Postoperative pain remains a common challenge after abdominal surgery despite the use of standard multimodal pain management strategies. Poorly controlled pain can delay recovery, limit early mobilisation, reduce patient comfort, and increase the risk of longer-term pain problems.
This study aims to develop a predictive model to better understand and anticipate patients' postoperative pain relief needs after abdominal surgery. The study will observe adults undergoing elective abdominal surgery and collect information on their pain scores, pain medication use, surgical characteristics, and recovery during the first 48 hours after surgery.
Participants will receive standard postoperative pain management according to usual clinical practice. The study will analyse patterns of rescue pain medication use, including when and how often additional pain relief is required after surgery. The collected information will be used to develop a model that can predict factors associated with increased pain medication requirements.
The goal of this research is to improve understanding of individual differences in postoperative pain and provide a foundation for more personalised pain management strategies in the future. The findings may help healthcare providers identify patients who are more likely to require additional pain relief and support the development of safer and more effective approaches to postoperative pain control.
Detailed description
Postoperative pain remains a significant clinical challenge following abdominal surgery. Although multimodal analgesic strategies are widely implemented, many patients continue to experience moderate-to-severe pain during the early postoperative period and require repeated rescue analgesic administration. Current approaches to evaluate postoperative analgesic requirements often rely on total opioid consumption or time to first rescue analgesia. However, these methods may not fully capture the dynamic and repeated nature of postoperative pain and analgesic demand.
This study aims to develop a predictive model to characterise postoperative analgesic requirements in adults undergoing elective abdominal surgery. The study will use repeated time-to-event pharmacokinetic-pharmacodynamic modelling to analyse the timing and pattern of rescue morphine administration during the first 48 hours after surgery.
This is a prospective observational cohort study involving adult patients undergoing elective open or laparoscopic abdominal surgery under general anaesthesia. Participants will receive standard postoperative analgesic management according to routine clinical practice. No changes to clinical care will be introduced as part of the study.
Data collected will include patient demographics, surgical characteristics, anaesthetic details, postoperative pain scores, and analgesic administration records. Rescue analgesic events will be captured from patient-controlled analgesia (PCA) device records, including the timing and dose of successful morphine administrations. Individual morphine exposure will be estimated using documented dosing histories and published population pharmacokinetic parameters.
The collected data will be analysed using repeated time-to-event pharmacokinetic-pharmacodynamic modelling. The model will evaluate factors influencing the likelihood of requiring rescue analgesia over time, including temporal patterns, circadian effects, morphine exposure, and patient or surgical characteristics. Model performance will be assessed using simulation-based evaluation methods, including predictive checks and bootstrap analysis.
The expected outcome of this study is the development of a validated predictive framework for postoperative analgesic requirements after abdominal surgery. This model may provide a foundation for future personalised analgesic strategies, allowing earlier identification of patients at higher risk of inadequate pain control and supporting safer, more effective postoperative pain management.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 2 Days
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Adult Patients Undergoing Elective Abdominal Surgery | – | Drug: Intravenous Morphine Patient-Controlled AnalgesiaAdult patients aged 18-75 years undergoing elective open or laparoscopic abdominal surgery under general anaesthesia will be enrolled in this prospective observational cohort. Participants will receive standard postoperative analgesic management according to routine clinical practice. Rescue analgesia will be provided using intravenous morphine via patient-controlled analgesia (PCA), and the timing and dose of successful analgesic administrations will be recorded during the first 48 hours after surgery. Patient demographics, surgical characteristics, pain scores, and analgesic administration data will be collected to develop a predictive model of postoperative analgesic requirements. |
Who may qualify
- Ages
- 18 to 75 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Adults undergoing elective abdominal surgery under general anaesthesia will be enrolled in this prospective observational cohort study. The study population represents patients experiencing the early postoperative recovery phase, where pain trajectories and analgesic requirements vary substantially between individuals. Participants will be observed during the first 48 hours after surgery to characterise patterns of rescue analgesic use and postoperative pain. The study aims to develop a predictive model of postoperative analgesic requirements by integrating analgesic administration patterns with patient and surgical characteristics. The findings will support a better understanding of individual variability in postoperative pain management and provide a foundation for future personalised analgesic strategies.
Key inclusion criteria (6 listed)
- Adult patients aged 18-75 years
- American Society of Anesthesiologists (ASA) physical status I-III
- Elective open or laparoscopic abdominal surgery under general anaesthesia
- Expected postoperative ward or high-dependency unit (HDU) stay of ≥ 48 hours
- Ability to provide written informed consent in Bahasa Malaysia or English
Key exclusion criteria (6 listed)
- Chronic opioid therapy, defined as regular opioid use for ≥ 4 weeks prior to surgery
- Severe hepatic impairment (Child-Pugh Class B or C) or severe renal impairment (eGFR < 30 mL/min/1.73 m²)
- Known allergy or hypersensitivity to morphine or any opioid analgesic
- Cognitive impairment (documented diagnosis of dementia or delirium), language barrier, or communication deficit precluding reliable NRS self-report
- Documented history of substance use disorder (including opioid use disorder)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Intravenous Morphine Patient-Controlled AnalgesiaParticipants will receive intravenous morphine via patient-controlled analgesia (PCA) as part of standard postoperative analgesic management following elective abdominal surgery. The study does not assign or modify analgesic treatment. Morphine PCA usage, including timing and dose of successful administrations, will be recorded to characterise postoperative analgesic requirements using repeated time-to-event modelling. | Drug | Adult Patients Undergoing Elective Abdominal Surgery |
Primary outcome
Rescue Analgesic Administration Events During the First 48 Hours After Abdominal Surgery
Time frame: Up to 48 hours after completion of surgery
The number and timing of successful rescue analgesic events following elective abdominal surgery. A rescue analgesic event is defined as each successful patient-controlled analgesia (PCA) activation resulting in intravenous morphine delivery. The repeated occurrence and timing of rescue analgesic events will be analysed using repeated time-to-event modelling to characterise postoperative analgesic requirements.
2 secondary outcomes
Postoperative Pain Scores
Time frame: At PACU arrival/ every 15 minutes during PACU stay/ every 4 hours up to 48 hours after surgery
Morphine Exposure and Relationship With Rescue Analgesic Hazard
Time frame: Up to 48 hours after completion of surgery
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Sep 2026.
- Background: PubMed 26332855Ahlers SJ, Valitalo PA, Peeters MY, Gulik Lv, van Dongen EP, Dahan A, Tibboel D, Knibbe CA. Morphine Glucuronidation and Elimination in Intensive Care Patients: A Comparison with Healthy Volunteers. Anesth Analg. 2015 Nov;121(5):1261-73. doi: 10.1213/ANE.0000000000000936.
- BackgroundXiberras M, et al. RTTE modelling of morphine PD for analgesia after paediatric cardiac surgery. PAGE 2024.
- Background: PubMed 33122543Goulooze SC, Krekels EH, Saleh MA, Ahlers SJ, Valitalo PA, van Dongen EP, van Schaik RH, Hankemeier T, Tibboel D, Knibbe CAJ. Predicting Unacceptable Pain in Cardiac Surgery Patients Receiving Morphine Maintenance and Rescue Doses: A Model-Based Pharmacokinetic-Pharmacodynamic Analysis. Anesth Analg. 2021 Mar 1;132(3):726-734. doi: 10.1213/ANE.0000000000005228.
- Background: PubMed 28389762Juul RV, Nyberg J, Kreilgaard M, Christrup LL, Simonsson USH, Lund TM. Analysis of opioid consumption in clinical trials: a simulation based analysis of power of four approaches. J Pharmacokinet Pharmacodyn. 2017 Aug;44(4):325-333. doi: 10.1007/s10928-017-9522-4. Epub 2017 Apr 7.
- Background: PubMed 26495978Juul RV, Rasmussen S, Kreilgaard M, Christrup LL, Simonsson US, Lund TM. Repeated Time-to-event Analysis of Consecutive Analgesic Events in Postoperative Pain. Anesthesiology. 2015 Dec;123(6):1411-9. doi: 10.1097/ALN.0000000000000917.
- Background: PubMed 12873949Apfelbaum JL, Chen C, Mehta SS, Gan TJ. Postoperative pain experience: results from a national survey suggest postoperative pain continues to be undermanaged. Anesth Analg. 2003 Aug;97(2):534-540. doi: 10.1213/01.ANE.0000068822.10113.9E.
- Background: PubMed 16698416Kehlet H, Jensen TS, Woolf CJ. Persistent postsurgical pain: risk factors and prevention. Lancet. 2006 May 13;367(9522):1618-25. doi: 10.1016/S0140-6736(06)68700-X.
- Individual participant dataSharing planned: Undecided. A formal plan for sharing individual participant data has not yet been established. Any future data sharing will be considered after completion of the study, publication of the primary findings, and approval by the relevant institutional ethics committee. If data sharing is undertaken, only de-identified data will be considered, and access will be subject to appropriate data protection measures and institutional requirements.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Postoperative Pain and Postoperative Analgesia, run by Chaw Sook Hui at 1 site in Malaysia.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 3 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Malaysia. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Tsyr Xiang Teoh, Master of Anaesthesiology (+603-79494422, teohtx@um.edu.my), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Rescue Analgesic Administration Events During the First 48 Hours After Abdominal Surgery (time frame: Up to 48 hours after completion of surgery). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07803575, which also lists 7 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Sep 2026.