The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
Prognostic Utility of Novel Biomarkers of Cardiovascular Stress: The Framingham Heart Study
Open accessAbstract
BACKGROUND: Biomarkers for predicting cardiovascular events in community-based populations have not consistently added information to standard risk factors. A limitation of many previously studied biomarkers is their lack of cardiovascular specificity. METHODS AND RESULTS: To determine the prognostic value of 3 novel biomarkers induced by cardiovascular stress, we measured soluble ST2, growth differentiation factor-15, and high-sensitivity troponin I in 3428 participants (mean age, 59 years; 53% women) in the Framingham Heart Study. We performed multivariable-adjusted proportional hazards models to assess the individual and combined ability of the biomarkers to predict adverse outcomes. We also constructed a "multimarker" score composed of the 3 biomarkers in addition to B-type natriuretic peptide and high-sensitivity C-reactive protein. During a mean follow-up of 11.3 years, there were 488 deaths, 336 major cardiovascular events, 162 heart failure events, and 142 coronary events. In multivariable-adjusted models, the 3 new biomarkers were associated with each end point (P<0.001) except coronary events. Individuals with multimarker scores in the highest quartile had a 3-fold risk of death (adjusted hazard ratio, 3.2; 95% confidence interval, 2.2-4.7; P<0.001), 6-fold risk of heart failure (6.2; 95% confidence interval, 2.6-14.8; P<0.001), and 2-fold risk of cardiovascular events (1.9; 95% confidence interval, 1.3-2.7; P=0.001). Addition of the multimarker score to clinical variables led to significant increases in the c statistic (P=0.005 or lower) and net reclassification improvement (P=0.001 or lower). CONCLUSION: Multiple biomarkers of cardiovascular stress are detectable in ambulatory individuals and add prognostic value to standard risk factors for predicting death, overall cardiovascular events, and heart failure.
Overview
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
Verification
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?
In the citing paper
“Elevated serum GDF15 level have also been found in patients with heart failure”
From Regulation of erythropoiesis by hypoxia-inducible factors (2013) · cites this paper as [221]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Pencina, M. J., D' Agostino, R. B., D' Agostino, R. B., & Vasan, R. S. (2008) · Statistics in Medicine · doi:10.1002/sim.2929 · Cited by 6,493
Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
Pencina, M. J., D’Agostino, R. B., & Steyerberg, E. W. (2010) · Statistics in Medicine · doi:10.1002/sim.4085 · Cited by 2,483
WRITING COMMITTEE MEMBERS, Hunt, S. A., Abraham, W. T., Chin, M. H., Feldman, A. M., Francis, G. S., Ganiats, T. G., Jessup, M., Konstam, M. A., Mancini, D. M., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.167586 · Cited by 2,251
2010 ACCF/AHA Guideline for Assessment of Cardiovascular Risk in Asymptomatic Adults
Greenland, P., Alpert, J. S., Beller, G. A., Benjamin, E. J., Budoff, M. J., Fayad, Z. A., Foster, E., Hlatky, M. A., Hodgson, J. M., Kushner, F. G., et al. (2010) · Circulation · doi:10.1161/cir.0b013e3182051b4c · Cited by 1,976
AN INVESTIGATION OF CORONARY HEART DISEASE IN FAMILIES
Kannel, W. B., Feinleib, M., McNAMARA, P. M., Garrison, R. J., & Castelli, W. P. (1979) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112813 · Cited by 1,639
Plasma Natriuretic Peptide Levels and the Risk of Cardiovascular Events and Death
Wang, T. J., Larson, M. G., Levy, D. A., Benjamin, E. J., Leip, E. P., Omland, T., Wolf, P. A., & Vasan, R. S. (2004) · New England Journal of Medicine · doi:10.1056/nejmoa031994 · Cited by 1,521
Cited by
Sorted by citations
Items 401–482 of 482
Gogia, S. S., & Ho, J. E. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809657-4.10942-1 · Cited by 3
Cardiac Biomarkers in Chronic Kidney Disease
de Wolski, K., & Bansal, N. (2025) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.0000000947 · Cited by 2
Gao, Y., Hou, W., Guo, R., Jiao, Y., Liu, X., & Qian, T. (2026) · Separation and Purification Technology · doi:10.1016/j.seppur.2026.137701 · Cited by 2
Wang, S., Chou, H.-Y., Liu, P.-H., Su, H.-H., Hung, G., Chou, C., Tseng, L., Shen, Y., Yen, J., Huang, S., et al. (2026) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2026.05.281 · Cited by 2
Biomarkers for the Prediction of Cardiac Readmission
Parker, D. M., & Brown, J. R. (2019) · Biomarkers in Medicine · doi:10.2217/bmm-2018-0381 · Cited by 2
TGF beta Superfamily Cytokine MIC-1/GDF15 in Health and Inflammatory Diseases
Breit, S. N., & Brown, D. A. (2016) · Compendium of Inflammatory Diseases · doi:10.1007/978-3-7643-8550-7_54 · Cited by 2
Prognosis of “pre-heart failure” clinical phenotypes
Velagaleti, R. S., Short, M. I., Larson, M. G., & Vasan, R. S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231254 · Cited by 2
Skau, E., Wagner, P., Leppert, J., Ärnlöv, J., & Hedberg, P. (2024) · Upsala Journal of Medical Sciences · doi:10.48101/ujms.v129.11001 · Cited by 2
Weng, Y., Zhou, T., & Ye, H. (2025) · Scientific Reports · doi:10.1038/s41598-025-86696-3 · Cited by 2
Lee, S., Castley, A. S. L., Knuiman, M. W., Nolan, D. A., Sanfilippo, F. M., & Dwivedi, G. (2025) · Physiological Reports · doi:10.14814/phy2.70379 · Cited by 2
Natriuretic Peptide Use in Screening in the Community
Lee, N. S., & Daniels, L. B. (2016) · Springer eBooks · doi:10.1007/978-3-319-42982-3_15 · Cited by 2
A Guarantee of Arterial Wellness: New Era of Cardiovascular Medicine
Doneen, A. L. (2014) · Journal of Clinical & Experimental Cardiology · doi:10.4172/2155-9880.1000298 · Cited by 2
Neumann, F., Ewen, S., Mortensen, K., NEF, H. M., Zeller, T., Ojeda, F., Sydow, K., Mahfoud, F., Böhm, M., Hamm, C. W., et al. (2016) · Biomarkers in Medicine · doi:10.2217/bmm-2016-0098 · Cited by 2
Blankenberg, S., & Zeller, T. (2017) · Elsevier eBooks · doi:10.1016/b978-0-323-42880-4.00009-1 · Cited by 2
Update in recent clinical trials in heart failure
Parikh, V. Y., Bhardwaj, A., Nair, A. P., & Bozkurt, B. (2019) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000639 · Cited by 2
Li, F., Xu, M., Fu, M., Cui, X., Lian, Z., Xin, H., Zhou, J., & Ge, J. (2021) · BMC Cardiovascular Disorders · doi:10.1186/s12872-021-02191-3 · Cited by 2
Biomarker-Guided Therapy for Chronic Heart Failure
Berezin, A. Е. (2015) · Springer eBooks · doi:10.1007/978-94-007-7741-5_1-1 · Cited by 2
Cocaine use is associated with a higher prevalence of elevated ST2 concentrations
van Wijk, X. M. R., Vittinghoff, E., Wu, A. H. B., Lynch, K. L., & Riley, E. D. (2017) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2017.04.015 · Cited by 2
Is Subclinical Myocardial Injury the Smoking Gun Linking Obesity With Heart Failure?
de Lemos, J. A., & Neeland, I. J. (2014) · JACC Heart Failure · doi:10.1016/j.jchf.2014.06.009 · Cited by 2
Corbacho-Alonso, N., Sastre-Oliva, T., Corros, C., Tejerina, T., Solı́s, J., Lopez-Almodovar, L. F., Padial, L. R., Mouriño-Álvarez, L., & Barderas, M. G. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12040642 · Cited by 1
Zhou, J., Zhang, Q., Ma, L., Zhang, Y., Zhu, T., Guo, J., Cui, Y., & Zhang, L. (2022) · Journal of Magnetism and Magnetic Materials · doi:10.1016/j.jmmm.2022.169983 · Cited by 1
Shrivastava, P., Sharma, T., & Gautam, S. (2024) · Research in Cardiovascular Medicine · doi:10.4103/rcm.rcm_14_24 · Cited by 1
Evaluating the Prognostic Significance of Circulating Biomarkers of End Organ Damage in Hypertension
Mbeta, E., Williams, K., Yates, J., Sankaranarayanan, R., Penson, P. E., Lip, G. Y. H., & McDowell, G. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14175935 · Cited by 1
Özdemir, E., & Zıyrek, M. (2025) · Medicine · doi:10.1097/md.0000000000044530 · Cited by 1
Węgrzyn‐Witek, A., Przewłocka‐Kosmala, M., Kosmala, W., & Marwick, T. H. (2025) · ESC Heart Failure · doi:10.1002/ehf2.15442 · Cited by 1
Segar, M. W., Keshvani, N., Jaeger, B. C., Rosenblatt, A., Razavi, M., Saeed, M., Rodríguez, C. J., Khan, S. S., Kao, D. P., & Pandey, A. (2025) · Heart Rhythm · doi:10.1016/j.hrthm.2025.12.008 · Cited by 1
Pol, T., Lindbäck, J., Oldgren, J., Alexander, J. H., Siegbahn, A., Wallentin, L. C., & Hijazi, Z. (2026) · Journal of the American Heart Association · doi:10.1161/jaha.125.045970 · Cited by 1
Abbas, M., Tamargo, J. A., Cruz, C. J., Zhang, Y., Wohlgemuth, S., Wu, K., Chen, L., Staud, R. M., Fillingim, R. B., Leeuwenburgh, C., et al. (2026) · Molecular Pain · doi:10.1177/17448069261422994 · Cited by 1
Research progress on multi-marker detection technology for cardiovascular diseases (review)
Ma, Y., Ding, Z., Zhao, Y., Zhang, P., Du, B., Shen, Y., Hu, J., Zhu, L., Zhao, H., Jin, C., et al. (2026) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2026.119969 · Cited by 1
MacCann, R., Alalwan, D., Saini, G., Leon, A. A. G., Kootstra, N. A., McGettrick, P., Cotter, A. G., Winston, A., Reiss, P., Sabin, C. A., et al. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014209 · Cited by 1
Effect of vitamin D supplementation on cardiovascular outcomes: randomized trials revisited
Wang, Y., Sha, S. S., Gwenzi, T., Schöttker, B., & Brenner, H. (2026) · European Journal of Epidemiology · doi:10.1007/s10654-026-01438-7 · Cited by 1
Barth, A. S., Abd, T. T., Blumenthal, R. S., & Blaha, M. J. (2013) · Current Cardiovascular Imaging Reports · doi:10.1007/s12410-013-9193-5 · Cited by 1
Utility of Biomarkers in Contemporary Management of Chronic Heart Failure
Berezin, A. Е. (2015) · Annals of Clinical and Laboratory Research · doi:10.21767/2386-5180.100016 · Cited by 1
Czynnik różnicowania wzrostu 15 jako biomarker w niewydolności serca
Piechota, W., & Krzesiński, P. (2018) · Folia Cardiologica · doi:10.5603/fc.2018.0034 · Cited by 1
Growth differentiation factor-15 (GDF-15) for cardiovascular risk assessment
Piechota, W., & Krzesiński, P. (2018) · Pediatria i Medycyna Rodzinna · doi:10.15557/pimr.2018.0001 · Cited by 2
Biomarkers and Precision Medicine in Heart Failure
Ibrahim, N. E., Gaggin, H. K., & Januzzi, J. L. (2020) · Elsevier eBooks · doi:10.1016/b978-0-323-60987-6.00033-8 · Cited by 1
Somuncu, M. U., Tatar, F., Kalaycı, B., Avcı, A., Güdül, N. E., Uygur, B., Demir, A. R., & Can, M. (2021) · Europe PMC (PubMed Central) · doi:10.6515/acs.202109_37(5).20210319a · Cited by 1
Natriuretic peptides: Another tool for the management of cancer?
Balaguer, J., García‐Foncillas, J., & Tuñón, J. (2023) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2023.104219 · Cited by 1
Heart Diseases Prediction Using Ensemble Model
Sharma, P., & Mittal, S. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-31097-2_22 · Cited by 1
Cardiovascular Biomarker Assessment Across Glycemic Status
Li, D., & Tang, W. H. W. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-800093-9.00021-1 · Cited by 1
Biomarkers of heart failure: current state of problem
Ishevskaia, O. P., Муратович, Н. А., & Kosmacheva, E. D. (2021) · Innovative medicine of Kuban · doi:10.35401/2500-0268-2021-24-4-67-72 · Cited by 1
Kosharnaia, R. S., Belaya, Z. E., Zuraeva, Z. T., Michurova, M. S., & Kalashnikov, V. Y. (2023) · Terapevticheskii arkhiv · doi:10.26442/00403660.2022.12.201995 · Cited by 1
McDonald, K., & Murphy, T. M. (2015) · JACC Heart Failure · doi:10.1016/j.jchf.2015.01.011 · Cited by 1
Biomarkers in Ischemic Heart Disease
Neumann, F., & Schnabel, R. B. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809657-4.10941-x · Cited by 1
Gut-brain Axis Regulation of Food Intake and Visceral Illness
Patel, A. R. (2021) · Deep Blue (University of Michigan) · doi:10.7302/1469 · Cited by 1
TGF-b Superfamily Cytokine MIC-1/GDF15 in Health and Inflammatory Diseases
Breit, S. N., & Brown, D. A. (2014) · Encyclopedia of Inflammatory Diseases · doi:10.1007/978-3-0348-0620-6_54-1 · Cited by 1
Lenzi, A., Carvalho, L. B., Teigas-Campos, P. A. D., Biagini, D., Ghimenti, S., Armenia, S., Pugliese, N. R., Masi, S., Francesco, F. D., Lomonaco, T., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.25.625184 · Cited by 1
Morrissey, R. P., & Rana, J. S. (2013) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-013-0297-x
Biomarker Testing and Pre-emptive Therapy in Preventing Heart Failure
McDonald, K., Ledwidge, M. T., Gallagher, J., & Watson, C. J. (2015) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-015-0456-3
Lindholm, D. P. (2015) · Uppsala University Publications (Uppsala University)
Novos biomarcadores da insuficiência cardíaca
Costa, J. (2015) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · doi:10.34626/mnm5-py42
Pop, C., Cri, G. C., Loghin, F., & Mogo, C. I. (2013)
Bickel, C., Lackner, K. J., & Wild, S. H. (2014)
Novel markers in chronic heart failure
Lok, D. J. A. (2013) · University of Groningen research database (University of Groningen / Centre for Information Technology)
Nemer, D. M., & Skali, H. (2016) · Hospital Medicine Clinics · doi:10.1016/j.ehmc.2016.05.002
Cardiac Biomarkers and Early Detection of Cardiotoxicity
Lenihan, D. J., & Humphreys, B. D. (2016) · Oncoreview · doi:10.5604/20828691.1220892
Use of cTn for Detection of More Chronic Disease States
Parikh, R. H., & deFilippi, C. R. (2016) · Springer eBooks · doi:10.1007/978-3-319-42982-3_9
In vitro toxicity testing using human pluripotent stem cell derivatives
Holmgren, G. (2016) · Gothenburg University Publications Electronic Archive (Gothenburg University)
OBSOLETE: Biomarkers: Heart Failure
Ho, J. E. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.10942-0
OBSOLETE: Biomarkers in Ischemic Heart Disease
Schnabel, R. B. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.10941-9
Kimenai (2019) · doi:10.26481/dis.20190516dk
The Development and Validation of a Salivary Protein Panel to Diagnose Heart Failure
Zhang, X. (2018) · Queensland University of Technology · doi:10.5204/thesis.eprints.122851
Cappelletti, P., Moretti, M., Manno, M. L., Burgio, M. A., Stenner, E., Veneziani, F., Malloggi, L., Cassin, M., Gamboni, A., Morandini, M., et al. (2021) · La Rivista Italiana della Medicina di Laboratorio - Italian Journal of Laboratory Medicine · doi:10.23736/s1825-859x.21.00111-0
Editors, T. (2013) · Circulation · doi:10.1161/circulationaha.113.003137
TGF beta Superfamily Cytokine MIC-1/GDF15 in Health and Inflammatory Diseases
Breit, S. N., & Brown, D. A. (2016) · Encyclopedia of Inflammatory Diseases · doi:10.1007/978-3-0348-0620-6_54-2
Cham, Y. L., Fong, A. Y. Y., Chung, B. K., Ling, H. S., Pang, I. X., Thien, L. K., Chow, H. B., Chan, E. Z., Shu, F. E. P., Tan, C. T., et al. (2023) · Journal of Asian Pacific Society of Cardiology · doi:10.15420/japsc.2022.06
Prognostic elements of unfavorable cardiac remodeling
Duttaroy, A. K., & Mallick, R. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99570-2.00005-9
Robbertse, P. S., Steyn, J., Rajah, M. R., Doubell, A. F., Nachega, J. B., & Herbst, P. G. (2024) · SA Heart · doi:10.24170/21-1-6322
Vulciu, P. A., Pilat, L., Varga, N.-I., Daşcău, V., Popa, C., Mot, M.-D., Barata, P. I., Donath-Miklos, I., & Pușchiță, M. (2025) · Romanian Journal of Internal Medicine · doi:10.2478/rjim-2025-0014
Novel biomarkers in heart failure
Madden, B. C., Watanabe, K., & Law, Y. M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-13279-7.00023-7
Wang, Z., Yang, F., Ma, M., Bao, Q., Shen, J., Ye, F., & Xie, X. (2020) · Figshare · doi:10.6084/m9.figshare.13161705
Peterson, T. E., Landon, C., Haberlen, S., Bhondoekhan, F., Plankey, M. W., Palella, F. J., Piggott, D. A., Margolick, J. B., Brown, T. T., Post, W. S., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20887487
Mathukumar, A., Frishman, W. H., & Aronow, W. S. (2026) · Cardiology in Review · doi:10.1097/crd.0000000000001236
Patané, J. S. L., Giugni, F. R., Rosa, R. S., Marcondes‐Braga, F. G., Mansur, A. J., Pereira, A. C., & Krieger, J. E. (2026) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0014370
Multiple Cardiac Biomarkers and Long‐Term Neurological Deficits Trajectory After Ischemic Stroke
Liu, Y., Zhang, Y., Cao, M., Wang, M. J., Zhu, Y., Peng, Y., Xu, T., Zhang, Y., Zhong, C., & Xiao, G. (2026) · Journal of the American Heart Association · doi:10.1161/jaha.125.046736
Rimolo, L. D. S. M., & Villacorta, H. (2026) · ABC Heart Failure & Cardiomyopathy · doi:10.36660/abchf.20260006i
Rimolo, L. D. S. M., & Villacorta, H. (2026) · ABC Heart Failure & Cardiomyopathy · doi:10.36660/abchf.20260006
Ramonfaur, D., Zierath, R., Yang, Y., Lamberson, V., Claggett, B. L., Powell‐Wiley, T. M., Leonard, T., Kucharska‐Newton, A., Walker, K. A., Chang, P. P., et al. (2026) · Science Advances · doi:10.1126/sciadv.aec5063
Prevalence and prognostic value of updated pre-HF staging definitions
Keshvani, N., Segar, M. W., Patel, K. V., Bayés‐Genís, A., Vaduganathan, M., Butler, J., & Pandey, A. (2026) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2026.102558
Metadata
- Authors
- Wang, T. J., Wollert, K. C., Larson, M. G., Coglianese, E., McCabe, E. L., Cheng, S., Ho, J. E., Fradley, M. G., Ghorbani, A., Xanthakis, V., Kempf, T., Benjamin, E. J., Levy, D., Vasan, R. S., & Januzzi, J. L.
- Affiliations
- Boston University (US)
- ORCID
- Venue
- Circulation
- Published
- 2012-09-25
- Volume
- 126
- Issue
- 13
- Pages
- 1596-1604
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- PMC
- PMC3656719
- OpenAlex
- W2163917890
- Cited by
- 482
- References
- 65
- Citations by year
- 2026: 16 · 2025: 16 · 2024: 29 · 2023: 33 · 2022: 25 · 2021: 32 · 2020: 40 · 2019: 42 · 2018: 31 · 2017: 42 · 2016: 45 · 2015: 38 · 2014: 44 · 2013: 43 · 2012: 6
- FWCI
- 32.23
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (n01hc25195-41-0-1)
- National Heart, Lung, and Blood Institute (R01HL086875, N01‐HC25195, K99HL107642, R01-HL-08675, N01-HC-025195)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › GDF15 and Related Biomarkers
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
- Keywords
- soluble ST2, growth differentiation factor 15, high-sensitivity troponin I, cardiovascular mortality, heart failure, major cardiovascular events, brain natriuretic peptide, C-reactive protein, prognostic value, Framingham Heart Study
- MeSH terms
- Interleukin-1 Receptor-Like 1 Protein, Aged, C-Reactive Protein, Cardiovascular Diseases, Follow-Up Studies, Heart Failure, Humans, Male, Middle Aged, Prognosis, Receptors, Cell Surface, Retrospective Studies, Risk Factors, Biomarkers, Proportional Hazards Models, Troponin I, Natriuretic Peptide, Brain, Growth Differentiation Factor 15
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
