ClinicalTrials.gg
Not yet recruitingNCT07731373COMPASSpedPCOSUpdated Jul 30, 2026

Biomarker Panel for PCOS-Associated Liver Steatosis in Adolescent Girls (COMPASS-pedPCOS)

An observational study in Polycystic Ovary Syndrome (PCOS), Metabolic Dysfunction-Associated Steatotic Liver Disease and Pediatric Obesity, sponsored by Kayseri City Hospital. Not yet recruiting at 1 site in Turkey (Türkiye). Open to female participants aged 10 Years to 18 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-07-30.

Sponsored by Kayseri City Hospital · Observational

Study type
Observational
Model
Case-control
Time perspective
Prospective
Enrollment
150
Ages
10 Years to 18 Years
Sex
Female
01

Study summary

This single-center, prospective, observational, cross-sectional mechanistic pilot study will evaluate whether polycystic ovary syndrome (PCOS) contributes to hepatic steatosis in adolescent girls independently of adiposity. A total of 150 girls aged 10-18 years will be enrolled into three groups of 50: girls with PCOS and obesity, age- and body mass index-matched girls with obesity but without PCOS, and healthy normal-weight girls. Each participant will undergo a single evaluation comprising anthropometry, clinical and biochemical phenotyping, transient elastography with controlled attenuation parameter and two-dimensional shear wave elastography, and a single venous blood sample.

An extended biomarker panel will be measured by enzyme-linked immunosorbent assay (Fetuin-A, fibroblast growth factor 21, adiponectin, visfatin, cytokeratin-18 M30 and M65, soluble CD163, growth differentiation factor 15, 11-ketotestosterone, and 11beta-hydroxyandrostenedione), together with liquid chromatography-tandem mass spectrometry measurement of testosterone and sex hormone-binding globulin, and genotyping of PNPLA3 rs738409 and HSD17B13 rs72613567. The primary objective is to compare hepatic steatosis and the hepatokine/adipokine profile between the PCOS with obesity group and the adiposity-matched obesity control group, adjusting for body mass index z-score, insulin resistance, and free androgen index. No therapeutic intervention is assigned by the study protocol.

Read the detailed description

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver condition of childhood and is closely linked to obesity and insulin resistance. Polycystic ovary syndrome (PCOS) frequently co-occurs with obesity in adolescent girls, and hyperandrogenism has been proposed as an additional hepatic insult. Because obesity is a powerful confounder, the independent contribution of hyperandrogenism to hepatic steatosis in adolescents remains poorly defined.

This study will be conducted at the Departments of Pediatric, Departments of Pediatric Endocrinology, Pediatric Gastroenterology and Hepatology, Medical Biochemistry, Medical Genetics, and Pediatric Radiology of Kayseri City Hospital, Kayseri, Türkiye. Participants will be allocated to three predefined groups. Group 1 comprises girls with PCOS and obesity, diagnosed according to adolescent-adapted Rotterdam criteria requiring both hyperandrogenism and oligo-anovulation, with a body mass index at or above the 95th percentile. Group 2 comprises girls with obesity without features of PCOS, matched to Group 1 for age and body mass index. Group 3 comprises healthy normal-weight girls between the 5th and 84th body mass index percentiles.

The central comparison is Group 1 versus Group 2, which equalises adiposity and therefore isolates the contribution of hyperandrogenism. Hierarchical regression models will additionally adjust for body mass index z-score, homeostatic model assessment of insulin resistance, and free androgen index. Hepatic steatosis will be quantified by the controlled attenuation parameter obtained during vibration-controlled transient elastography; liver stiffness will be assessed by vibration-controlled transient elastography and two-dimensional shear wave elastography.

A single venous blood sample will be obtained at the study visit. Serum will be separated and stored at minus 80 degrees Celsius until batch analysis, and genomic DNA will be isolated for TaqMan single nucleotide polymorphism genotyping of PNPLA3 rs738409 and HSD17B13 rs72613567. All enzyme-linked immunosorbent assay kits will be procured as a single lot, and intra-assay and inter-assay coefficients of variation together with spike-recovery validation will be documented for each kit.

Data will be recorded in a REDCap electronic case report form in accordance with ALCOA+ principles. The study is exploratory and is designed to generate effect-size and variance estimates for a subsequent validation study. Reporting will follow the STROBE statement, and non-invasive diagnostic performance analyses will follow the STARD 2015 statement. The study is also referred to as COMPASS-PedPCOS in institutional, ethics committee and funding documents.

02

Conditions studied

  • Polycystic Ovary Syndrome (PCOS)
  • Metabolic Dysfunction-Associated Steatotic Liver Disease
  • Pediatric Obesity
  • Hyperandrogenism
  • Insulin Resistance Syndrome

Keywords

  • HSD17B13
  • PNPLA3
  • 11-oxygenated androgens
  • GDF-15
  • sCD163
  • CK-18
  • visfatin
  • adiponectin
  • FGF-21
  • Fetuin-A
  • PCOS
  • adipokine
  • hepatokine
  • transient elastography
  • controlled attenuation parameter
  • hepatic steatosis
03

In context

Polycystic Ovary Syndrome

956 studies on the registry are indexed under Polycystic Ovary Syndrome; 176 are open to participants now.

This study's planned enrollment of 150 is above the median of 118 across 223 observational studies indexed under Polycystic Ovary Syndrome.

Browse Polycystic Ovary Syndrome studies →

Lead sponsor

Kayseri City Hospital is the lead sponsor of 49 studies on the registry; 15 are open to participants now.

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

04

Who can participate

Ages eligible
10 Years to 18 Years
Sexes eligible
Female
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Adolescent girls aged 10 to 18 years presenting to the Departments of Pediatric Endocrinology and Pediatric Gastroenterology and Hepatology of Kayseri City Hospital, Kayseri, Türkiye. The study population comprises girls with polycystic ovary syndrome and obesity, girls with obesity without polycystic ovary syndrome matched for age and body mass index, and healthy normal-weight girls. Participants will be enrolled prospectively by consecutive sampling of eligible admissions.

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

  • Female, aged 10 to 18 years, with written from a parent or legal guardian and written assent from the child.
  • Group 1 (PCOS with obesity): both hyperandrogenism and oligo-anovulation required, based on adolescent-adapted Rotterdam criteria; at or above the 95th percentile.
  • Group 2 (Obesity control): body mass index at or above the 95th percentile, without features of PCOS, matched to Group 1 for age and body mass index.
  • Group 3 (Healthy control): healthy normal-weight girls (body mass index between the 5th and 84th percentile) without chronic disease, hyperandrogenism, or menstrual irregularity.

Exclusion criteria

Exclusion Criteria:

  • Known acute or chronic liver disease (including viral, , or Wilson disease) or use of hepatotoxic medication.
  • Endocrine disorders or secondary hyperandrogenism, including Cushing syndrome, hypothyroidism, uncontrolled diabetes mellitus, congenital adrenal hyperplasia, androgen-secreting tumour, or hyperprolactinaemia.
  • Syndromic or monogenic obesity (including Prader-Willi syndrome, Bardet-Biedl syndrome, Alström syndrome, MC4R or LEP variants) or a known genetic disorder.
  • Use of relevant or hepatotoxic medication within the preceding three months, including , metformin, oral , valproic acid, or antiandrogens.
  • Pregnancy or regular alcohol use.
  • Refusal of consent or assent.
Terms in these criteria, in plain language(5)

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.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

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.

Autoimmune disease

A condition in which the immune system attacks the body’s own tissues, such as rheumatoid arthritis, lupus, psoriasis, type 1 diabetes or inflammatory bowel disease.

Immunotherapy studies often leave out active autoimmune disease, and some name exceptions, such as thyroid disease on replacement hormone. Check the exceptions this study lists.

Corticosteroids (steroids)

Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.

Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.

Contraception

Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.

Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.

05

Study design

Observational model
Case-control
Time perspective
Prospective
Enrollment
150 participants (estimated)
Patient registry
No
Biospecimen retention
Samples with dna

Groups and cohorts

  • Group 1 ''PCOS With Obesity''

    PCOS With Obesity (n=50) - Girls aged 10-18 years meeting adolescent-adapted Rotterdam criteria (both hyperandrogenism and oligo-anovulation required) with body mass index at or above the 95th percentile.

    Diagnostic Test: Extended Serum Biomarker and Hormonal Panel · Diagnostic Test: Liver Elastography with Controlled Attenuation Parameter · Genetic: Targeted Genotyping of PNPLA3 rs738409 and HSD17B13 rs72613567

  • Group 2 ''Obesity Control''

    Obesity Control (n=50) - Girls with body mass index at or above the 95th percentile without features of PCOS, matched to Group 1 for age and body mass index.

    Diagnostic Test: Extended Serum Biomarker and Hormonal Panel · Diagnostic Test: Liver Elastography with Controlled Attenuation Parameter · Genetic: Targeted Genotyping of PNPLA3 rs738409 and HSD17B13 rs72613567

  • Group 3 ''Healthy Control''

    Healthy Control (n=50) - Girls aged 10-18 years meeting adolescent, Healthy normal-weight girls (body mass index 5th-84th percentile) without chronic disease, hyperandrogenism, or menstrual irregularity.

    Diagnostic Test: Extended Serum Biomarker and Hormonal Panel · Diagnostic Test: Liver Elastography with Controlled Attenuation Parameter · Genetic: Targeted Genotyping of PNPLA3 rs738409 and HSD17B13 rs72613567

Interventions

  • Diagnostic testExtended Serum Biomarker and Hormonal Panel

    A single fasting venous blood sample is obtained at the study visit. Enzyme-linked immunosorbent assay measurement of Fetuin-A, fibroblast growth factor 21, adiponectin, visfatin, cytokeratin-18 M30, cytokeratin-18 M65, soluble CD163, growth differentiation factor 15, 11-ketotestosterone and 11beta-hydroxyandrostenedione is performed. Total testosterone and sex hormone-binding globulin are measured by liquid chromatography-tandem mass spectrometry. Routine biochemistry and hormonal profiling are performed from the same sample. Observational only; no therapeutic agent is administered.

  • Diagnostic testLiver Elastography with Controlled Attenuation Parameter

    Hepatic steatosis and liver stiffness are assessed non-invasively at the same study visit. Vibration-controlled transient elastography with controlled attenuation parameter yields attenuation (dB/m) and stiffness (kPa) values; two-dimensional shear wave elastography provides an independent stiffness estimate. Predefined validity criteria are applied to all acquisitions. No sedation, contrast agent or ionizing radiation is used; the procedure is observational.

  • GeneticTargeted Genotyping of PNPLA3 rs738409 and HSD17B13 rs72613567

    Genomic DNA is isolated from the same single venous blood sample; no additional venipuncture is required. TaqMan allelic discrimination assays are used for genotyping of PNPLA3 rs738409 and HSD17B13 rs72613567. Genotype call rate and Hardy-Weinberg equilibrium are reported. Genotyping is performed for research purposes only; results are not used to guide clinical management.

06

What researchers measure

Primary outcomes

  1. Hepatic Steatosis Measured by Controlled Attenuation Parameter (CAP)

    Controlled attenuation parameter obtained during vibration-controlled transient elastography, compared between girls with PCOS and obesity and adiposity-matched girls with obesity, and across all three study groups, with adjustment for body mass index z-score, homeostatic model assessment of insulin resistance, and free androgen index. Unit of measure: dB/m.

    Time frame: Day 1 (single study visit)

  2. Serum Fetuin-A Concentration

    Serum Fetuin-A measured by enzyme-linked immunosorbent assay and compared across the three study groups with adjustment for body mass index z-score, homeostatic model assessment of insulin resistance, and free androgen index. Unit of measure: µg/mL.

    Time frame: Day 1 (single study visit)

  3. Serum Fibroblast Growth Factor 21 (FGF-21) Concentration

    Serum FGF-21 measured by enzyme-linked immunosorbent assay and compared across the three study groups with adjustment for body mass index z-score, homeostatic model assessment of insulin resistance, and free androgen index. Unit of measure: pg/mL.

    Time frame: Day 1 (single study visit)

  4. Serum Adiponectin Concentration

    Serum adiponectin measured by enzyme-linked immunosorbent assay and compared across the three study groups with adjustment for body mass index z-score, homeostatic model assessment of insulin resistance, and free androgen index. Unit of measure: µg/mL.

    Time frame: Day 1 (single study visit)

  5. Serum Visfatin Concentration

    Serum visfatin measured by enzyme-linked immunosorbent assay and compared across the three study groups with adjustment for body mass index z-score, homeostatic model assessment of insulin resistance, and free androgen index. Unit of measure: ng/mL.

    Time frame: Day 1 (single study visit)

Secondary outcomes

  1. Serum Soluble CD163 Concentration

    Serum soluble CD163, a marker of macrophage activation, measured by enzyme-linked immunosorbent assay and compared across the three study groups; evaluated as a candidate mediator of the association between hyperandrogenism and hepatic steatosis. Unit of measure: ng/mL.

    Time frame: Day 1 (single study visit)

  2. Serum Cytokeratin-18 M30 and M65 Concentrations

    Serum cytokeratin-18 M30 (apoptotic fragment) and M65 (total cell death) measured by enzyme-linked immunosorbent assay and compared across the three study groups to characterise the mode of hepatocyte death. Unit of measure: U/L for each analyte.

    Time frame: Day 1 (single study visit)

  3. Liver Stiffness Measurement

    Liver stiffness assessed by vibration-controlled transient elastography and by two-dimensional shear wave elastography, compared across the three study groups. Unit of measure: kPa.

    Time frame: Day 1 (single study visit)

  4. Discriminatory Performance of the Biomarker Panel for Hepatic Steatosis

    Receiver operating characteristic analysis of individual biomarkers and of a composite preliminary risk score for the identification of hepatic steatosis. Measures include area under the receiver operating characteristic curve with 95% confidence intervals, sensitivity, and specificity at the Youden index.

    Time frame: Day 1 (single study visit)

Other outcomes

  1. Serum Growth Differentiation Factor 15 (GDF-15) Concentration

    Serum GDF-15, a marker of mitochondrial stress, measured by enzyme-linked immunosorbent assay and compared across the three study groups. Unit of measure: pg/mL.

    Time frame: Day 1 (single study visit)

  2. Serum 11-Oxygenated Androgen Concentrations

    Serum 11-ketotestosterone and 11beta-hydroxyandrostenedione measured by enzyme-linked immunosorbent assay and evaluated for association with hepatic steatosis measures independently of body mass index and insulin resistance. Unit of measure: ng/dL for each analyte.

    Time frame: Day 1 (single study visit)

  3. PNPLA3 rs738409 and HSD17B13 rs72613567 Genotype Distribution and Gene-Gene Interaction

    Genotype frequencies of PNPLA3 rs738409 and HSD17B13 rs72613567 determined by TaqMan assay, and evaluation of gene-gene interaction with respect to hepatic steatosis measures. Measure: genotype counts and interaction estimates; Hardy-Weinberg equilibrium will be assessed.

    Time frame: Day 1 (single study visit)

07

Study locations

1 site
  • University of Health Sciences, Kayseri City Hospital
    Kayseri, 38080, Turkey (Türkiye)
08

References and documents

Publications

  • Peduzzi P, Concato J, Kemper E, Holford TR, Feinstein AR. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol. 1996 Dec;49(12):1373-9. doi: 10.1016/s0895-4356(96)00236-3. PubMed 8970487 ↗
  • Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig L, Lijmer JG, Moher D, Rennie D, de Vet HC, Kressel HY, Rifai N, Golub RM, Altman DG, Hooft L, Korevaar DA, Cohen JF; STARD Group. STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies. BMJ. 2015 Oct 28;351:h5527. doi: 10.1136/bmj.h5527. PubMed 26511519 ↗
  • von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007 Oct 20;370(9596):1453-7. doi: 10.1016/S0140-6736(07)61602-X. PubMed 18064739 ↗
  • Vos MB, Barve S, Joshi-Barve S, Carew JD, Whitington PF, McClain CJ. Cytokeratin 18, a marker of cell death, is increased in children with suspected nonalcoholic fatty liver disease. J Pediatr Gastroenterol Nutr. 2008 Oct;47(4):481-5. doi: 10.1097/MPG.0b013e31817e2bfb. PubMed 18852641 ↗
  • Abul-Husn NS, Cheng X, Li AH, Xin Y, Schurmann C, Stevis P, Liu Y, Kozlitina J, Stender S, Wood GC, Stepanchick AN, Still MD, McCarthy S, O'Dushlaine C, Packer JS, Balasubramanian S, Gosalia N, Esopi D, Kim SY, Mukherjee S, Lopez AE, Fuller ED, Penn J, Chu X, Luo JZ, Mirshahi UL, Carey DJ, Still CD, Feldman MD, Small A, Damrauer SM, Rader DJ, Zambrowicz B, Olson W, Murphy AJ, Borecki IB, Shuldiner AR, Reid JG, Overton JD, Yancopoulos GD, Hobbs HH, Cohen JC, Gottesman O, Teslovich TM, Baras A, Mirshahi T, Gromada J, Dewey FE. A Protein-Truncating HSD17B13 Variant and Protection from Chronic Liver Disease. N Engl J Med. 2018 Mar 22;378(12):1096-1106. doi: 10.1056/NEJMoa1712191. PubMed 29562163 ↗
  • Romeo S, Kozlitina J, Xing C, Pertsemlidis A, Cox D, Pennacchio LA, Boerwinkle E, Cohen JC, Hobbs HH. Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nat Genet. 2008 Dec;40(12):1461-5. doi: 10.1038/ng.257. Epub 2008 Sep 25. PubMed 18820647 ↗
  • O'Reilly MW, Kempegowda P, Jenkinson C, Taylor AE, Quanson JL, Storbeck KH, Arlt W. 11-Oxygenated C19 Steroids Are the Predominant Androgens in Polycystic Ovary Syndrome. J Clin Endocrinol Metab. 2017 Mar 1;102(3):840-848. doi: 10.1210/jc.2016-3285. PubMed 27901631 ↗
  • Salva-Pastor N, Chavez-Tapia NC, Uribe M, Nuno-Lambarri N. Understanding the association of polycystic ovary syndrome and non-alcoholic fatty liver disease. J Steroid Biochem Mol Biol. 2019 Nov;194:105445. doi: 10.1016/j.jsbmb.2019.105445. Epub 2019 Aug 2. PubMed 31381969 ↗
  • Pena AS, Witchel SF, Boivin J, Burgert TS, Ee C, Hoeger KM, Lujan ME, Mousa A, Oberfield S, Tay CT, Teede H. International evidence-based recommendations for polycystic ovary syndrome in adolescents. BMC Med. 2025 Mar 11;23(1):151. doi: 10.1186/s12916-025-03901-w. PubMed 40069730 ↗
  • Teede HJ, Tay CT, Laven JJE, Dokras A, Moran LJ, Piltonen TT, Costello MF, Boivin J, Redman LM, Boyle JA, Norman RJ, Mousa A, Joham AE; International PCOS Network. Recommendations from the 2023 international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Eur J Endocrinol. 2023 Aug 2;189(2):G43-G64. doi: 10.1093/ejendo/lvad096. PubMed 37580861 ↗
  • Rinella ME, Lazarus JV, Ratziu V, Francque SM, Sanyal AJ, Kanwal F, Romero D, Abdelmalek MF, Anstee QM, Arab JP, Arrese M, Bataller R, Beuers U, Boursier J, Bugianesi E, Byrne CD, Castro Narro GE, Chowdhury A, Cortez-Pinto H, Cryer DR, Cusi K, El-Kassas M, Klein S, Eskridge W, Fan J, Gawrieh S, Guy CD, Harrison SA, Kim SU, Koot BG, Korenjak M, Kowdley KV, Lacaille F, Loomba R, Mitchell-Thain R, Morgan TR, Powell EE, Roden M, Romero-Gomez M, Silva M, Singh SP, Sookoian SC, Spearman CW, Tiniakos D, Valenti L, Vos MB, Wong VW, Xanthakos S, Yilmaz Y, Younossi Z, Hobbs A, Villota-Rivas M, Newsome PN; NAFLD Nomenclature consensus group. A multisociety Delphi consensus statement on new fatty liver disease nomenclature. J Hepatol. 2023 Dec;79(6):1542-1556. doi: 10.1016/j.jhep.2023.06.003. Epub 2023 Jun 24. PubMed 37364790 ↗

Individual participant data

Plan to share: Yes — De-identified individual participant data underlying the published results, including clinical, anthropometric, biochemical, biomarker, and imaging variables, will be available from the principal investigator upon reasonable request. Individual-level genotype data will be shared only in aggregate form, or in de-identified individual-level form where explicitly permitted by the participant consent and the ethics approval, in accordance with applicable national legislation on special categories of personal data. Requests will be evaluated for scientific merit and consistency with the original ethics approval, and a data-use agreement will be required.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form, Analytic code

Time frame: Data will become available after publication of the main results and will remain available for 5 years thereafter, upon reasonable request to the principal investigator.

Access criteria: Qualified researchers from recognised academic institutions may request access by contacting the principal investigator with a methodologically sound proposal. Requests will be reviewed by the study team for scientific merit and for consistency with the original ethics approval and participant consent. A signed data-use agreement is required before any de-identified data are released.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 30, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07731373
Lead sponsor
Kayseri City Hospital
Collaborators
Presidency of the Health Institutes of Türkiye
Responsible party
Agah Bahadır Öztürk,MD (Principal Investigator, Department of Pediatrics, Kayseri City Hospital) — Principal investigator
First posted
Jul 28, 2026
Start date
Sep 1, 2026 (estimated)
Primary completion
Apr 30, 2027 (estimated)
Completion
Sep 1, 2027 (estimated)
Last update
Jul 30, 2026

Study contacts

Agah B Öztürk, MD, MD
Contact
dr-agahoz@hotmail.com
+90 352 315 77 00
Agah B ÖZTÜRK, MD
principal investigator · Kayseri City Hospital, Kayseri, Türkiye

Oversight

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

Not currently enrolling

This study is not yet recruiting, as verified in Jul 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