ClinicalTrials.gg
Active, not recruitingNCT07172997ENSURE-MASLDUpdated Oct 28, 2026

Non-Invasive MASLD Diagnosis & T2D Remission Biomarkers

An observational study in MASLD, T2DM (Type 2 Diabetes Mellitus) and Non-alcoholic Fatty Liver Disease (NAFLD), sponsored by Royal College of Surgeons in Ireland - Medical University of Bahrain. Active, not recruiting at 2 sites in Bahrain. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-10-28.

Sponsored by Royal College of Surgeons in Ireland - Medical University of Bahrain · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
163
Ages
18 Years and older
Sex
All
01

Study summary

The goal of this observational study is to prospectively develop and validate a non-invasive scoring system based on metabolic markers, proteomic, and transcriptomic profiles to accurately screen, diagnose, stage, and monitor Metabolic dysfunction-associated steatotic liver disease (MASLD) activity and regression as a replacement for the invasive liver biopsy tool in Bahraini bariatric patients. The study also aims to identify biomarkers for predicting type 2 diabetes mellitus remission post-bariatric surgery. The main questions it aims to answer are:

  • What proteomic and transcriptomic markers can be used to accurately screen, diagnose, stage, and monitor MASLD activity and regression?
  • What transcriptomic markers can predict type 2 diabetes mellitus remission? Researchers will compare the proteomic and transcriptomic profiles of bariatric patients before and after surgery to identify molecular changes associated with weight loss and normalization of metabolic biomarkers. The data will be used to design and validate a scoring system for MASLD diagnosis and monitoring.

Participants will undergo comprehensive assessments, including anthropometric measurements, metabolic biomarker evaluations, proteomic, and transcriptomic profiling at three time points: before surgery, and at 6- and 12-months post-surgery. The data collected will inform the development of the non-invasive scoring system, which will be tested for its reliability and accuracy in replacing liver biopsy as the standard diagnostic tool for MASLD.

Read the detailed description

Metabolic dysfunction Associated Steatotic Liver Disease (MASLD), previously known as NonAlcoholic Fatty Liver Disease (NAFLD), is becoming the most common cause of liver disease in adults with the pandemic of obesity in this century. MASLD is affecting more than quarter of the whole population on earth and the highest prevalence is in the middle east region. A recent retrospective study performed on bariatric patients at the King Hamad University Hospital (KHUH) reported a prevalence of 82.3% of MASLD before the surgery. MASLD progression may lead to liver cirrhosis following which the liver cells become damaged irreversibly. The current gold standard to diagnose MASLD is liver biopsy, however, this method has several limitations due to its invasive nature.

This observational study aims to study MASLD in depth utilizing molecular analysis tools, which can yield more information about disease progression in bariatric patients specific to the Bahraini population.

The total sample size of our study is estimated to be around 163 participants of which 134 subjects would to be positive cases of MASLD. We will include the patients undergoing bariatric surgery from the January to December 2025. An informed consent will be taken from the patients to participate in the research while consenting them for the surgery. The surgeon will inform the participant that radiological and biochemical investigations will be done pre-operatively as well as wedge liver biopsy will be taken during the laparoscopic procedure.

Several data will be collected from the enrolled patients' medical records to study disease progression before the surgery, 6 months and 12 months after the surgery:

  1. Anthropometric Measures including weight, hight, body mass index, etc.
  2. Body composition data including fat mass, muscle mass, etc.
  3. Routine bariatric profile blood results including liver enzymes, platelets, etc.
  4. Abdominal ultrasonography reports.
  5. Shear wave elastography radiological assessment
  6. Proteomic and transcriptomic profiling outside Bahrain
02

Conditions studied

  • MASLD
  • T2DM (Type 2 Diabetes Mellitus)
  • Non-alcoholic Fatty Liver Disease (NAFLD)
  • Obesity

Keywords

  • metabolic biomarkers
  • MASLD proteomics
  • MASLD transcriptomics
  • T2DM Transcriptomics
  • liver biopsy
  • proteomic biomarkers
  • transcriptomic biomarkers
  • bariatric surgery
  • non-invasive scoring system
  • shear wave elastoghraphy
  • Middle East population
  • Metabolic biomarker evaluation
  • Anthropometric measurements
  • Transcriptome profiling
  • Diagnostic tools
  • MASLD
  • Metabolic dysfunction associated liver disease
  • T2D
  • T2DM
  • Type 2 Diabetes Mellitus
  • NAFLD
  • Obesity
  • Non-alcoholic fatty liver disease
03

In context

Diabetes Mellitus, Type 2

10,371 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,406 are open to participants now.

This study's planned enrollment of 163 is below the median of 300 across 1,741 observational studies indexed under Diabetes Mellitus, Type 2.

Browse Diabetes Mellitus, Type 2 studies →

Lead sponsor

Royal College of Surgeons in Ireland - Medical University of Bahrain is the lead sponsor of 11 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Bahraini adult obese patients

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Adult obese patients undergoing bariatric surgery in KHUH surgery department consented to be included in the study.

Exclusion criteria

Exclusion Criteria:

  • Patients fail to complete the surgery due to intra-operative complications.
  • Patients fail to retrieve liver sample from due to intra-operative difficulties.
  • Patients with missing data pre-operatively
  • less than 30 kg/m2.
  • Post-liver transplant patients
  • Patients known to have any liver disease other than MASLD
  • Patients with history of Alcohol Drinking.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Biopsy and archival tissue

A biopsy takes a small piece of tissue to examine. “Archival tissue” is a sample already taken, for example at diagnosis, and kept by the hospital.

Whether a stored sample will do depends on when it was taken, how much there is and what the study needs. Ask whether the study accepts your stored sample or needs a new biopsy.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
163 participants (estimated)
Target follow-up
12 Months
Patient registry
Yes
Biospecimen retention
Samples without dna

Groups and cohorts

  • MASLD metabolic biomarker

    Adult obese patients (18 years old and above) who underwent bariatric surgery in KHUH surgery department from January 2025 to December2025.

    Procedure: Bariatric Surgery

Interventions

  • ProcedureBariatric Surgery

    A surgical procedure used to manage obesity and obesity-related conditions.

    Also known as: Sleeve Gastrectomy, Roux-en-Y, Metabolic Surgery, One Anastomosis Gastric Bypass, Biliopancreatic Diversion, Gastric Bypass, Mini-Bypass, OAGB, SAGB, SG

06

What researchers measure

Primary outcomes

  1. Accuracy of Non-invasive Ultrasonography Tools for MASLD Assessment

    To assess the diagnostic accuracy of three ultrasonography tools for diagnosing MASLD by calculating their sensitivity (%), specificity(%), positive predictive value (PPV)(%), and negative predictive value (NPV)(%) compared to the liver histopathology diagnosis: * Conventional Ultrasonography: Detects liver steatosis and evaluates liver size (cm), texture, and fibrosis. * Shear-wave elastography (SWE): Measures liver stiffness(kPa), correlating with fibrosis severity (F0-F1: 0.0 - 8.27 kPa = Normal-mild, F2: 8.27 - 9.4 kPa = mild-moderate, F3: 9.4-11.8 kPa = moderate-severe, F4: \>11.8 kPa cirrhosis). * Ultrasound-guided acoustic pulse (UGAP) examination: Combines ultrasound with acoustic pulses to assess liver steatosis by measuring the attenuation of ultrasound waves as they pass through the liver. Higher attenuation values generally correlate with a greater degree of hepatic steatosis (attenuation coefficient cutoff value (dB/cm/MHz): ≥S1= 0.65, ≥S2= 0.71, S3= 0.77).

    Time frame: At Baseline, at 6-months after the surgery, and at 12 months after the surgery

  2. Proteomic Changes and Their Correlation with MASLD Regression

    This outcome measures changes in protein expression between MASLD-positive patients and a control of MASLD- negative patients. Both group will have equal number of participants, and equal male to female ratio. Protein levels will be measured using liquid chromatography tandem mass spectrometry (counts per second (cps), and Changes in protein levels and will be quantified as percent and fold changes. .

    Time frame: At Baseline

  3. Accuracy of Available Formulae for MASLD Assessment

    To evaluate the diagnostic accuracy of three formulae for diagnosing MASLD by assessing Sensitivity(percentage), Specificity(percentage), Positive Predictive Value (PPV)(percentage), and Negative Predictive Value (NPV)(percentage) compared to the liver histopathology diagnosis. 1. APRI: Uses AST levels (U/L) and platelet count (x10\^9/l) to estimate liver fibrosis risk (\< 0.5 = minimal or no fibrosis, 0.5 - 1.5 = Moderate fibrosis, \> 1.5 = Severe fibrosis or cirrhosis). 2. FIB-4: Combines age(years), AST(U/L), ALT(U/L), and platelet count (x10\^9/l) to assess liver fibrosis risk (\< 1.45 = minimal or no fibrosis, 1.45 - 3.39 = significant fibrosis, ≥ 3.4 = advanced fibrosis or cirrhosis). 3. NAFLD-Fibrosis Score: Uses age (years), BMI (kg/m\^2), diabetes status, liver enzymes (U/l), platelet count (x10\^9/l), and albumin (g/L) to assess fibrosis risk (\< -1.455 = low probability of fibrosis, -1.455- 0.765 = significant fibrosis, \> 0.675 = high probability of fibrosis).

    Time frame: At Baseline, at 6-months after the surgery, and at 12 months after the surgery

  4. mi-RNA Changes and Their Correlation with MASLD Regression and Diabetes Remission

    This outcome measures changes in circulating microRNA (miRNA) levels, in relation to diabetes remission post-bariatric surgery. Changes in miRNA levels will be quantified as percent and fold changes. miRNA levels will be measured using micro-array technique. Changes will be assessed in the diabetic disease state and after achieving diabetes remission, defined by fasting glucose \<100 mg/dL and HbA1c \<6.5%. miRNA changes will be correlated with diabetes remission at 6 and 12 months.

    Time frame: At Baseline, at 6-months after the surgery, and at 12 months after the surgery

Secondary outcomes

  1. Percentage of MASLD Regression Post-Bariatric Surgery

    This outcome aims to assess the regression of Metabolic Dysfunction-associated Steatotic Liver Disease (MASLD) after bariatric surgery. MASLD regression will be evaluated through changes in liver stiffness, liver enzymes, inflammatory markers, and MASLD risk scores: 1. Liver Stiffness (kPa): Measured by elastography. A decrease of at least 30% from baseline suggests regression. 2. Liver Enzymes \[AST, ALT, ALP, GGT (U/L)\]: A significant decrease in enzyme levels indicates improved liver function. 3. Inflammatory Markers: A reduction in inflammatory markers (e.g., CRP) signals MASLD improvement. 4. MASLD Risk Scores: 1. FIB-4: A reduction in score suggests decreased fibrosis. 2. APRI: A decrease indicates improved liver function. 3. NAFLD-Fibrosis Score: A reduction suggests MASLD regression. MASLD regression will be assessed at 6- and 12-months post-surgery, focusing on these markers and risk scores.

    Time frame: At 6-months after the surgery, and at 12 months after the surgery

  2. Percentage of Type 2 Diabetes Remission Post-Bariatric Surgery

    This outcome evaluates the remission of Type 2 Diabetes Mellitus (T2DM) following bariatric surgery. T2DM remission will be determined by changes in fasting glucose and glycated hemoglobin (HbA1c) levels: Fasting Glucose: Fasting glucose levels will be measured after an overnight fast. A fasting glucose level below 100 mg/dL will be considered indicative of T2DM remission. Glycated Hemoglobin (HbA1c): HbA1c levels reflect average blood glucose over the past 2-3 months. T2DM remission is defined as an HbA1c level below 6.5% without the need for diabetes medications. T2DM remission will be assessed at 6 and 12 months following bariatric surgery, with remission defined by meeting the aforementioned glucose and HbA1c thresholds.

    Time frame: At 6-months after the surgery, and at 12 months after the surgery

  3. Excess Weight Loss (EWL) Measurement

    This outcome assesses the effectiveness of bariatric surgery in terms of Excess Weight Loss (EWL). EWL will be calculated based on individual measurements of weight and ideal body weight. 1. Pre-surgery Weight (kg): Weight will be measured before surgery. 2. Post-surgery Weight (kg): Weight will be measured at 6 and 12 months. 3. Ideal Body Weight (kg): Ideal body weight (IBW) will be calculated using one of the following formulae based on patients' gender: For Men: IBW (kg) = 50 + 0.91 × (height in cm - 152.4) For Women: IBW (kg) = 45.5 + 0.91 × (height in cm - 152.4) 4. Excess Weight Loss (EWL): EWL will be calculated as: EWL (%) = \[(Pre-surgery weight - Ideal body weight) / (Pre-surgery weight - post-surgery weight)\] × 100 5. Statistical Analysis: Paired t-tests will compare pre- and post-surgery weight. Regression models will assess factors affecting EWL and its link to clinical outcomes.

    Time frame: At Baseline, at 6-months after the surgery, and at 12 months after the surgery

  4. Body Composition Parameters After Bariatric Surgery

    The body composition is measured using Bioelectrical Impedance Analysis (BIA) device to assess the proportions of fat, muscle, bone, and water in the body. The following parameters are measured at baseline, and then at 6 and 12 months after bariatric surgery: Weight (kg), Height (m),BMI (kg/m\^2), Fat Mass (kg), Fat Free Mass (kg), Fat Percentage (%), Bone Mass (kg), Muscle Mass (kg), Total Body Water (kg), Intracellular Water (kg), Extracellular water (kg), Visceral Fat Rating, Metabolic age (years) All parameters are measured using a fully-automated BIA scales.

    Time frame: At baseline, and at 6 months and 12 months after bariatric surgery

Other outcomes

  1. Identification of Novel Biomarkers through Fold Change Analysis and Regression Models

    This outcome measures the identification of novel biomarkers, proteins and microRNAs, through fold change analysis and regression models. Fold change analysis compares biomarker expression between groups (e.g., patients vs. controls or pre-treatment vs. post-treatment), with a threshold of a 1.5-fold change indicating significant differences. Regression models assess the relationship between biomarker levels and clinical factors (e.g., disease progression, treatment response). Biomarker expression was measured using molecular techniques, namelymicro-arrays and tandem mass spectrometry. The goal is to identify biomarkers that could aid in disease diagnosis, prognosis, or treatment monitoring, providing a foundation for personalized medicine.

    Time frame: Through study completion, an average of 1 year

07

Study locations

2 sites
  • Alhakeem Radiology Center
    Manama, Manama 2901, Bahrain
  • King Hamad University Hospital
    Al Muharraq, Muharraq, Bahrain
08

References and documents

Publications

  • Bujang MA, Adnan TH. Requirements for Minimum Sample Size for Sensitivity and Specificity Analysis. J Clin Diagn Res. 2016 Oct;10(10):YE01-YE06. doi: 10.7860/JCDR/2016/18129.8744. Epub 2016 Oct 1. PubMed 27891446 ↗
  • Slomski A. Bariatric Surgery Approaches Reduce Fatty Liver Disease. JAMA. 2022 Feb 22;327(8):710. doi: 10.1001/jama.2022.1532. No abstract available. PubMed 35191926 ↗
  • Poljo A, Kopf S, Sulaj A, Roessler S, Albrecht T, Goeppert B, Bojko S, Muller-Stich BP, Billeter AT. The role of bariatric surgery on beta-cell function and insulin resistance in patients with nonalcoholic fatty liver disease and steatohepatitis. Surg Obes Relat Dis. 2023 Dec;19(12):1421-1434. doi: 10.1016/j.soard.2023.07.005. Epub 2023 Jul 24. PubMed 37666725 ↗
  • Geerts A, Lefere S. Bariatric surgery for non-alcoholic fatty liver disease: Indications and post-operative management. Clin Mol Hepatol. 2023 Feb;29(Suppl):S276-S285. doi: 10.3350/cmh.2022.0373. Epub 2022 Dec 22. PubMed 36545709 ↗
  • Gluszynska P, Lemancewicz D, Dzieciol JB, Razak Hady H. Non-Alcoholic Fatty Liver Disease (NAFLD) and Bariatric/Metabolic Surgery as Its Treatment Option: A Review. J Clin Med. 2021 Dec 7;10(24):5721. doi: 10.3390/jcm10245721. PubMed 34945016 ↗
  • Elhelw O, Ragavan S, Majeed W, Alkhaffaf B, Mohammed N, Senapati S, Ammori BJ, Robinson JA, Syed AA. The impact of bariatric surgery on liver enzymes in people with obesity: A 5-year observational study. Surgeon. 2024 Feb;22(1):e26-e33. doi: 10.1016/j.surge.2023.07.006. Epub 2023 Aug 9. PubMed 37567846 ↗
  • Verrastro O, Panunzi S, Castagneto-Gissey L, De Gaetano A, Lembo E, Capristo E, Guidone C, Angelini G, Pennestri F, Sessa L, Vecchio FM, Riccardi L, Zocco MA, Boskoski I, Casella-Mariolo JR, Marini P, Pompili M, Casella G, Fiori E, Rubino F, Bornstein SR, Raffaelli M, Mingrone G. Bariatric-metabolic surgery versus lifestyle intervention plus best medical care in non-alcoholic steatohepatitis (BRAVES): a multicentre, open-label, randomised trial. Lancet. 2023 May 27;401(10390):1786-1797. doi: 10.1016/S0140-6736(23)00634-7. Epub 2023 Apr 21. PubMed 37088093 ↗
  • Miyake T, Miyazaki M, Yoshida O, Kanzaki S, Nakaguchi H, Nakamura Y, Watanabe T, Yamamoto Y, Koizumi Y, Tokumoto Y, Hirooka M, Furukawa S, Takeshita E, Kumagi T, Ikeda Y, Abe M, Toshimitsu K, Matsuura B, Hiasa Y. Relationship between body composition and the histology of non-alcoholic fatty liver disease: a cross-sectional study. BMC Gastroenterol. 2021 Apr 13;21(1):170. doi: 10.1186/s12876-021-01748-y. PubMed 33849437 ↗
  • Kouvari M, Valenzuela-Vallejo L, Guatibonza-Garcia V, Polyzos SA, Deng Y, Kokkorakis M, Agraz M, Mylonakis SC, Katsarou A, Verrastro O, Markakis G, Eslam M, Papatheodoridis G, George J, Mingrone G, Mantzoros CS. Liver biopsy-based validation, confirmation and comparison of the diagnostic performance of established and novel non-invasive steatotic liver disease indexes: Results from a large multi-center study. Metabolism. 2023 Oct;147:155666. doi: 10.1016/j.metabol.2023.155666. Epub 2023 Jul 30. PubMed 37527759 ↗
  • Hadizadeh F, Faghihimani E, Adibi P. Nonalcoholic fatty liver disease: Diagnostic biomarkers. World J Gastrointest Pathophysiol. 2017 May 15;8(2):11-26. doi: 10.4291/wjgp.v8.i2.11. PubMed 28573064 ↗
  • Ozturk A, Mohammadi R, Pierce TT, Kamarthi S, Dhyani M, Grajo JR, Corey KE, Chung RT, Bhan AK, Chhatwal J, Samir AE. Diagnostic Accuracy of Shear Wave Elastography as a Non-invasive Biomarker of High-Risk Non-alcoholic Steatohepatitis in Patients with Non-alcoholic Fatty Liver Disease. Ultrasound Med Biol. 2020 Apr;46(4):972-980. doi: 10.1016/j.ultrasmedbio.2019.12.020. Epub 2020 Jan 29. PubMed 32005510 ↗
  • Chimoriya R, Piya MK, Simmons D, Ahlenstiel G, Ho V. The Use of Two-Dimensional Shear Wave Elastography in People with Obesity for the Assessment of Liver Fibrosis in Non-Alcoholic Fatty Liver Disease. J Clin Med. 2020 Dec 29;10(1):95. doi: 10.3390/jcm10010095. PubMed 33383965 ↗
  • Noureddin M, Loomba R. Nonalcoholic fatty liver disease: Indications for liver biopsy and noninvasive biomarkers. Clin Liver Dis (Hoboken). 2012 Sep 25;1(4):104-107. doi: 10.1002/cld.65. eCollection 2012 Sep. No abstract available. PubMed 31186861 ↗
  • Sumida Y, Nakajima A, Itoh Y. Limitations of liver biopsy and non-invasive diagnostic tests for the diagnosis of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. World J Gastroenterol. 2014 Jan 14;20(2):475-85. doi: 10.3748/wjg.v20.i2.475. PubMed 24574716 ↗
  • Nalbantoglu IL, Brunt EM. Role of liver biopsy in nonalcoholic fatty liver disease. World J Gastroenterol. 2014 Jul 21;20(27):9026-37. doi: 10.3748/wjg.v20.i27.9026. PubMed 25083076 ↗
  • Watt MJ, Miotto PM, De Nardo W, Montgomery MK. The Liver as an Endocrine Organ-Linking NAFLD and Insulin Resistance. Endocr Rev. 2019 Oct 1;40(5):1367-1393. doi: 10.1210/er.2019-00034. PubMed 31098621 ↗
  • Riazi K, Azhari H, Charette JH, Underwood FE, King JA, Afshar EE, Swain MG, Congly SE, Kaplan GG, Shaheen AA. The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2022 Sep;7(9):851-861. doi: 10.1016/S2468-1253(22)00165-0. Epub 2022 Jul 5. PubMed 35798021 ↗
  • Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016 Jul;64(1):73-84. doi: 10.1002/hep.28431. Epub 2016 Feb 22. PubMed 26707365 ↗

Individual participant data

Plan to share: Yes — Monitoring, audits, and REC review will be permitted and provide direct access to source data and documents. The Lead PI and the researchers assigned by him will have access to the stored data/specimens. Only the Lead PI and the researchers assigned working on this study will be eligible to obtain the data/specimens from the participants during data collection.

Supporting information: Study protocol, Statistical analysis plan, Clinical study report, Analytic code

Time frame: Data will be collected in the case report form to allow for cross referencing to check validity. Study documents (paper) will be retained in a secure (kept locked when not in use) location during and after the trial has finished. All essential documents including source documents will be retained for a period of 5 years after study completion (last patient, last study point).

Access criteria: Study documents (paper) will be retained in a secure (kept locked when not in use) location during and after the trial has finished.

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Jan 2025 (actual). Primary completion is estimated for Dec 2026, 23 months after the start.

Of 432 non-industry observational studies under Diabetes Mellitus, Type 2, half reached primary completion within 35 months of starting (the median), counting those still running; a quarter within 17 and three quarters within 96. This study's planned 23 months is below that.

Counting every sponsor, half of 602 studies reached it within 32 months; a quarter within 17 and three quarters within 62.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 30, 2025
First posted
Sep 15, 2025
StartActual
Jan 1, 2025
Primary completionEst.
Dec 31, 2026
CompletionEst.
Jun 30, 2027
Last update
Oct 28, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Minor edits
Nothing that changes what the study is or who can join. Edited: verification date and oversight details
1 update, last Oct 28, 2026
Show all 1 update
  1. Oct 28, 2026
    Minor edits only
    + 2 other changes: verification date and oversight details

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07172997
Lead sponsor
Royal College of Surgeons in Ireland - Medical University of Bahrain
Collaborators
King Hamad University Hospital, Bahrain, King Faisal Specialist Hospital & Research Center, King Fahad Medical City
Responsible party
Sponsor
First posted
Sep 15, 2025
Start date
Jan 1, 2025
Primary completion
Dec 31, 2026 (estimated)
Completion
Jun 30, 2027 (estimated)
Last update
Oct 28, 2026

Study contacts

John Flood
principal investigator · RCSI-MUB

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is active, not recruiting, as verified in Sep 2026. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion