Whole-Body Cryotherapy Alters Circulating MicroRNA Profile in Postmenopausal Women
Open accessAbstract
The incidence of metabolic syndrome (MetS) increases with age, especially in women. The role of microRNAs (miRs) in the regulation of metabolism is postulated. The aim of the study is to identify miRs that may be markers of MetS and to assess changes in miRs expression as a result of 10 and 20 whole-body cryotherapy treatments (WBC; 3 min, −120 °C) in postmenopausal women with MetS (M-60, BMI 30.56 ± 5.38 kg/m2), compared to healthy postmenopausal (H-60, BMI 25.57 ± 2.46 kg/m2) and healthy young women (H-20, BMI 22.90 ± 3.19 kg/m2). In a fasting state, before 1 WBC and after 10 WBCs, as well as 20 WBCs, the expression of miR-15a-5p, miR-21-5p, miR-23a-3p, miR-146a-5p, miR-197-3p, miR-223-3p, fasting blood glucose (FBG) and blood lipid profile were determined. miR-15a-5p and miR-21-5p were down-regulated in M-60, while miR-23a-3p and miR-197-3p were up-regulated, and miR-223-3p down-regulated in M-60 and H-60, compared to H-20. Significant positive correlations between up-regulated (mostly for miR-23-3p and miR-197-3p) and significant negative correlations between down-regulated (mostly for miR-15a-5p) miRs and markers of body composition as well as metabolic disorders were observed. After 20 WBCs, miR-15a-5p expression was up-regulated in all groups. In H-60, down-regulation of miR-197-3p expression occurred after 10 WBCs and 20 WBCs. Following 10 WBCs, FBG decreased in all groups, which intensified in M-60 post-20 WBCs. In our research, it has been shown that miR-23a-3p and miR-197-3p are accurate markers of MetS and MetS risk factors, while miR-15a-5p and miR-23a-3p are precise markers of body composition disorders. WBC is an effective treatment for up-regulating miR-15a-5p and lowering glucose levels in young and postmenopausal women and down-regulating miR-197-3p expression in postmenopausal women. It may be an adjunctive effective treatment method in MetS and hyperglycemia.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
miR-23-3p could potentially serve as an accurate marker for identifying metabolic syndrome and its associated risk factors.
“Therefore, it could potentially serve as an accurate marker for identifying metabolic syndrome and its associated risk factors [25].”
From Recent advances of miR-23 in human diseases and growth development (2025) · cites this paper as [25]
The Discussion reports that miR-23a-3p correlates with metabolic-syndrome measures and may be an accurate risk marker for its development. That supports its potential as a risk marker, but the paper does not establish that it accurately identifies existing metabolic syndrome. The reported findings concern postmenopausal women. (LLM, conf=0.82)
Experimental — accuracy not yet measuredUpregulation of miR-23-3p is associated with metabolic syndrome in postmenopausal women.
“Furthermore, upregulation of miR-23–3p has been associated with metabolic syndrome in postmenopausal women.”
From Recent advances of miR-23 in human diseases and growth development (2025) · cites this paper as [25]
There is a marked positive correlation among miR-23-3p, body composition, and indicators regarding metabolic disorders.
“There exists a marked positive correlation among miR-23–3p, body composition, and indicators regarding metabolic disorders.”
From Recent advances of miR-23 in human diseases and growth development (2025) · cites this paper as [25]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860 · see citing works
Zhang, Q., Wang, C., Zheng, M., Li, Y., Li, J., Zhang, L., Shang, X., & Yan, C. (2014) · Cerebrovascular Diseases · doi:10.1159/000369778 · Cited by 11,609 · see citing works
Projections of Global Mortality and Burden of Disease from 2002 to 2030
Mathers, C. D., & Loncar, D. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030442 · Cited by 11,386 · see citing works
Roth, G. A., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32203-7 · Cited by 8,600 · see citing works
Kyu, H. H., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32335-3 · Cited by 4,112 · see citing works
The Global Epidemic of the Metabolic Syndrome
Saklayen, M. G. (2018) · Current Hypertension Reports · doi:10.1007/s11906-018-0812-z · Cited by 3,990 · see citing works
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837 · see citing works
An overview of microRNAs: Biology, functions, therapeutics, and analysis methods
Saliminejad, K., Khorshid, H. R. K., Fard, S. S., & Ghaffari, S. H. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.27486 · Cited by 2,047 · see citing works
Metabolic Syndrome: Updates on Pathophysiology and Management in 2021
Fahed, G., Aoun, L., Bou Zerdan, M., Allam, S., Bou Zerdan, M., Bouferraa, Y., & Assi, H. I. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23020786 · Cited by 1,441 · see citing works
Amini, M., Zayeri, F., & Salehi, M. (2021) · BMC Public Health · doi:10.1186/s12889-021-10429-0 · Cited by 636 · see citing works
Physical Activity, Cardiorespiratory Fitness, and the Metabolic Syndrome
MYERS, J. N., Kokkinos, P. F., & Nyelin, E. (2019) · Nutrients · doi:10.3390/nu11071652 · Cited by 633 · see citing works
MicroRNA-Based Diagnosis and Therapy
Ho, P. T. B., Clark, I. M., & Le, L. T. T. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23137167 · Cited by 630 · see citing works
Dietary Strategies for Metabolic Syndrome: A Comprehensive Review
Castro‐Barquero, S., Ruiz-León, A. M., Sierra-Pérez, M., Estruch, R., & Casas, R. M. (2020) · Nutrients · doi:10.3390/nu12102983 · Cited by 514 · see citing works
Metabolic Syndrome Pathophysiology and Predisposing Factors
Bovolini, A., Garcia, J., Andrade, M. A., & Duarte, J. A. (2020) · International Journal of Sports Medicine · doi:10.1055/a-1263-0898 · Cited by 414 · see citing works
Circulating miRNA Profiles in Patients with Metabolic Syndrome
Karolina, D. S., Subramaniam, T., Armugam, A., Sepramaniam, S., Pek, S. L. T., Wong, M. T. K., Lim, S. C., Sum, C. F., & Jeyaseelan, K. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-1996 · Cited by 409 · see citing works
MicroRNA-mediated regulation of glucose and lipid metabolism
Agbu, P., & Carthew, R. W. (2021) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-021-00354-w · Cited by 368 · see citing works
Deiuliis, J. A. (2015) · International Journal of Obesity · doi:10.1038/ijo.2015.170 · Cited by 352 · see citing works
Irisin: A Hope in Understanding and Managing Obesity and Metabolic Syndrome
Arhire, L. I., Mihalache, L., & Covașă, M. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00524 · Cited by 306 · see citing works
Balasubramanyam, M., Aravind, S., Gokulakrishnan, K., Paramasivam, P., Chandrakumar, S., Ranjani, H., & Mohan, V. (2011) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-011-0727-3 · Cited by 238 · see citing works
Cardiovascular and Other Health Benefits of Sauna Bathing: A Review of the Evidence
Laukkanen, J. A., Laukkanen, T., & Kunutsor, S. K. (2018) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2018.04.008 · Cited by 184 · see citing works
Opoku, A. A., Abushama, M. D., & Konje, J. C. (2023) · Best Practice & Research Clinical Obstetrics & Gynaecology · doi:10.1016/j.bpobgyn.2023.102348 · Cited by 183 · see citing works
Vishram, J. K. K., Borglykke, A., Andreasen, A. H., Jeppesen, J., Ibsen, H., Jørgensen, T., Palmieri, L., Giampaoli, S., Donfrancesco, C., Kee, F., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0107294 · Cited by 175 · see citing works
MicroRNA-15a positively regulates insulin synthesis by inhibiting uncoupling protein-2 expression
Sun, L., Jiang, B., Li, W., Zou, J., Shi, Y., & Liu, Z. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2010.11.006 · Cited by 164 · see citing works
The Roles and Associated Mechanisms of Adipokines in Development of Metabolic Syndrome
Kim, J. E., Kim, J., Jo, M.-J., Cho, E., Ahn, S.-Y., Kwon, Y.-J., & Ko, G.-J. (2022) · Molecules · doi:10.3390/molecules27020334 · Cited by 158 · see citing works
Kamalden, T. A., Macgregor-Das, A. M., Kannan, S. M., Dunkerly-Eyring, B. L., Khaliddin, N., Xu, Z., Fusco, A. P., Yazib, S. A., Chow, R. C., Duh, E. J., et al. (2017) · Antioxidants and Redox Signaling · doi:10.1089/ars.2016.6844 · Cited by 141 · see citing works
Diagnostic Value of Cell-free Circulating Micrornas for Obesity and Type 2 Diabetes: A Meta-analysis
Villard, A., & Marchand, L. (2015) · Journal of Molecular Biomarkers & Diagnosis · doi:10.4172/2155-9929.1000251 · Cited by 136 · see citing works
A Systematic Study of Dysregulated MicroRNA in Type 2 Diabetes Mellitus
He, Y., Ding, Y., Liang, B., Lin, J., Kim, T., Yu, H., Hang, H., & Wang, K. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18030456 · Cited by 130 · see citing works
Circulating microRNAs and adipokines as markers of metabolic syndrome in adolescents with obesity
Al‐Rawaf, H. A. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2018.09.024 · Cited by 126 · see citing works
miR-146a-mediated suppression of the inflammatory response in human adipocytes
Roos, J., Enlund, E., Funcke, J., Tews, D., Holzmann, K., Debatin, K., Wabitsch, M., & Fischer‐Posovszky, P. (2016) · Scientific Reports · doi:10.1038/srep38339 · Cited by 110 · see citing works
Corrêa, M. M., Thumé, E., de Oliveira, E. A. D., & Tomasi, E. (2016) · Archives of gerontology and geriatrics (Print) · doi:10.1016/j.archger.2016.03.021 · Cited by 110 · see citing works
The Impact of Adipose Tissue–Derived miRNAs in Metabolic Syndrome, Obesity, and Cancer
Cardoso, G. S. H. R., Corrêa, L. H., & Magalhães, K. G. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.563816 · Cited by 107 · see citing works
Li, M., & Zhang, J. (2015) · BioMed Research International · doi:10.1155/2015/730535 · Cited by 85 · see citing works
Rawal, S., Munasinghe, P. E., Nagesh, P. T., Lew, K. S., Jones, G. T., Williams, M. J. A., Davis, P. J., Bunton, D., Galvin, I. F., Manning, P. J., et al. (2017) · Clinical Science · doi:10.1042/cs20160916 · Cited by 77 · see citing works
The Influence of Dietary Interventions on Arterial Stiffness in Overweight and Obese Subjects
Stanek, A., Grygiel‐Górniak, B., Brożyna-Tkaczyk, K., Myśliński, W., Cholewka, A., & Zolghadri, S. (2023) · Nutrients · doi:10.3390/nu15061440 · Cited by 77 · see citing works
Circulating microRNAs as biomarkers for metabolic disease
Párrizas, M., & Novials, A. (2016) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2016.08.001 · Cited by 66 · see citing works
Circulating microRNA-223 as a potential biomarker for obesity
Wen, D., Qiao, P., & Wang, L. (2015) · Obesity Research & Clinical Practice · doi:10.1016/j.orcp.2015.01.006 · Cited by 66 · see citing works
Dulian, K., Laskowski, R., Grzywacz, T., Kujach, S., Flis, D. J., Smaruj, M., & Ziemann, E. (2015) · Cryobiology · doi:10.1016/j.cryobiol.2015.10.143 · Cited by 63 · see citing works
Circulatory miRNA biomarkers of metabolic syndrome
Ramzan, F., D’Souza, R. F., Durainayagam, B. R., Milan, A. M., Markworth, J. F., Miranda-Soberanis, V., Sequeira, I. R., Roy, N. C., Poppitt, S. D., Mitchell, C. J., et al. (2019) · Acta Diabetologica · doi:10.1007/s00592-019-01406-6 · Cited by 63 · see citing works
MiRNAs in β-Cell Development, Identity, and Disease
Martínez-Sánchez, A., Rutter, G. A., & Latreille, M. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2016.00226 · Cited by 61 · see citing works
Starzak, M., Stanek, A., Jakubiak, G. K., Cholewka, A., & Cieślar, G. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191610368 · Cited by 60 · see citing works
Association of MicroRNA-146a with Type 1 and 2 Diabetes and their Related Complications
Ghaffari, M., Razi, S., Zalpoor, H., Nabi‐Afjadi, M., Mohebichamkhorami, F., & Zali, H. (2023) · Journal of Diabetes Research · doi:10.1155/2023/2587104 · Cited by 48 · see citing works
Lubkowska, A., & Szyguła, Z. (2010) · International Journal of Occupational Medicine and Environmental Health · doi:10.2478/v10001-010-0037-0 · Cited by 47 · see citing works
Circulating micrornas associated with glycemic impairment and progression in Asian Indians
Flowers, E., Gadgil, M. D., Aouizerat, B. E., & Kanaya, A. M. (2015) · Biomarker Research · doi:10.1186/s40364-015-0047-y · Cited by 43 · see citing works
Physical Activity Modulates the Overexpression of the Inflammatory miR‐146a‐5p in Obese Patients
Russo, A., Bartolini, D., Mensa’, E., Torquato, P., Albertini, M. C., Olivieri, F., Testa, R., Rossi, S., Piroddi, M., Cruciani, G., et al. (2018) · IUBMB Life · doi:10.1002/iub.1926 · Cited by 39 · see citing works
Whole-body cryostimulation in obesity. A scoping review
Fontana, J. M., Bozgeyik, S., Gobbi, M., Piterà, P., Giusti, E. M., Dugué, B., Lombardi, G., & Capodaglio, P. (2022) · Journal of Thermal Biology · doi:10.1016/j.jtherbio.2022.103250 · Cited by 36 · see citing works
Physical Therapy Perspectives in the 21st Century - Challenges and Possibilities
Bettany‐Saltikov, J., & Lourido, B. P. (2012) · InTech eBooks · doi:10.5772/2257 · Cited by 36 · see citing works
Goguet-Rubio, P., Klug, R. L., Sharma, D. L., Srikanthan, K., Puri, N., Lakhani, V., Nichols, A., O'Hanlon, K. M., Abraham, N. G., Shapiro, J. I., et al. (2017) · International Journal of Medical Sciences · doi:10.7150/ijms.18988 · Cited by 35 · see citing works
Więcek, M., Szymura, J., Sproull, J., & Szyguła, Z. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8091428 · Cited by 35 · see citing works
Self-citationWięcek, M., Szymura, J., Sproull, J., & Szyguła, Z. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9092797 · Cited by 33 · see citing works
Self-citationXie, Y., Huan, M., Sang, J.-J., Luo, S.-S., Kong, X., Xie, Z., Zheng, S.-H., Wei, Q., & Wu, Y. (2022) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2022/2286598 · Cited by 31 · see citing works
Association of serum microRNA-21 levels with Visfatin, inflammation, and acute coronary syndromes
Darabi, F., Aghaei, M., Movahedian, A., Elahifar, A., Pourmoghadas, A., & Sarrafzadegan, N. (2016) · Heart and Vessels · doi:10.1007/s00380-016-0913-z · Cited by 28 · see citing works
Stanek, A., Romuk, E. B., Wielkoszyński, T., Bartuś, S., Cieślar, G., & Cholewka, A. (2019) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2019/7524878 · Cited by 28 · see citing works
Stanek, A., Wielkoszyński, T., Bartuś, S., & Cholewka, A. (2020) · Antioxidants · doi:10.3390/antiox9121308 · Cited by 28 · see citing works
Kantorowicz, M., Szymura, J., Szyguła, Z., Kuśmierczyk, J., Maciejczyk, M., & Więcek, M. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.726783 · Cited by 26 · see citing works
Self-citationvan Beek, S. M. M., Hashim, D., Bengtsson, T., & Joris Hoeks, J. (2023) · International Journal of Obesity · doi:10.1038/s41366-023-01270-z · Cited by 15 · see citing works
Basic anthropometric measurements and derived ratios in dietary counseling: Part one
Brończyk-Puzoń, A., Koszowska, A. U., & Bieniek, J. (2018) · Nursing and Public Health · doi:10.17219/pzp/92366 · Cited by 15 · see citing works
Seeliger, C., Krauss, T., Honecker, J., Mengel, L. A., Buekens, L., Mesas‐Fernández, A., Skurk, T., Claussnitzer, M., & Hauner, H. (2022) · Scientific Reports · doi:10.1038/s41598-022-13610-6 · Cited by 14 · see citing works
Lubkowska, A., Bryczkowska, I., Szyguła, Z., Giemza, C., Skrzek, A., Rotter, I., Lombardi, G., & Banfi, G. (2019) · Physiological Research · doi:10.33549/physiolres.933954 · Cited by 10 · see citing works
Sapp, R. M., Shill, D. D., Dash, C., Hicks, J., Adams-Campbell, L. L., & Hagberg, J. M. (2019) · Physiological Reports · doi:10.14814/phy2.14173 · Cited by 9 · see citing works
Piotrowska, A., Bigosińska, M., Potok, H., Cisoń-Apanasewicz, U., Czerwińska‐Ledwig, O., Tota, Ł. M., Zuziak, R., Pałka, T., & Pilch, W. (2018) · Menopause Review/Przegląd Menopauzalny · doi:10.5114/pm.2018.81739 · Cited by 9 · see citing works
Unchanged Erythrocyte Profile After Exposure to Cryogenic Temperatures in Elder Marathon Runners
Szymura, J., Więcek, M., Maciejczyk, M., Gradek, J., Kantorowicz, M., & Szyguła, Z. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00659 · Cited by 8 · see citing works
Self-citationMaciejczyk, M., Bawelski, M., Więcek, M., Szyguła, Z., Michailov, M. L., Vadašová, B., Kačúr, P., & Pałka, T. (2022) · Biology · doi:10.3390/biology11050655 · Cited by 7 · see citing works
Rehabilitation interventions in the patient with obesity
Capodaglio, P. (2020) · Springer eBooks · doi:10.1007/978-3-030-32274-8 · Cited by 7 · see citing works
Whole-Body Cryotherapy: Possible Application in Obesity and Diabesity
Lombardi, G., Ziemann, E., & Banfi, G. (2020) · Springer eBooks · doi:10.1007/978-3-030-32274-8_11 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [41]Dugué B. Bernard J.P. Bouzigon R. De Nardi M. Douzi W. Feirreira J.J. GUILPART J. Lombardi G. Miller E. Tiemessen I. Whole body cryotherapy/cryostimulation, 39th Informatory Note on Refrigeration Technologies Int. Inst. Refrig. 2020 1 9 10.18462/iif.NItec39.09.2020 · DOI
Cited by
Sorted by citations
Recent advances of miR-23 in human diseases and growth development
Qian, X., Jiang, Y., Yang, Y., Zhang, Y., Xu, N., Xu, B., Pei, K., Yu, Z., & Wu, W. (2025) · Non-coding RNA Research · doi:10.1016/j.ncrna.2024.12.010 · Cited by 5 · see citing works
Jouhara, H., & Trembley, J.-P. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-30118-6.00003-x
- Authors
- Wiecek, M., Kusmierczyk, J., Szymura, J., Kreiner, G., & Szygula, Z.
- Affiliations
- Department of Physiology and Biochemistry, Faculty of Physical Education and Sport, University of Physical Education in Kraków, 31-571 Kraków, Poland
- University of Physical Culture in Kraków (PL)
- Maj Institute of Pharmacology (PL)
- Department of Sports Medicine and Human Nutrition, Institute of Biomedical Sciences, Faculty of Physical Education and Sport, University of Physical Education in Kraków, 31-571 Kraków, Poland
- Venue
- Journal of Clinical Medicine
- Publisher
- MDPI AG
- Published
- 2023-08-12
- Volume
- 12
- Issue
- 16
- Pages
- 5265
- ISSN
- 2077-0383 (ISSN-L)
- PMC
- PMC10455963
- OpenAlex
- W4385805493
- Cited by
- 2
- References
- 63
- Citations by year
- 2025: 1 · 2024: 1
- FWCI
- 0.25
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Clinical Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- framework of the program of the Ministry of Science and Higher Education (022/RID/2018/19)
- University of Physical Education in Kraków (022/RID/2018/19)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
- Keywords
- whole-body cryotherapy, microRNA expression, circulating microRNAs, metabolic syndrome, postmenopausal women, miR-15a-5p, miR-21-5p, miR-23a-3p, miR-197-3p, miR-223-3p, fasting blood glucose, lipid profile
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review