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Cumulative Meta-Analysis of Therapeutic Trials for Myocardial Infarction
Open accessAbstract
BACKGROUND: The large volume of published randomized, controlled trials has led to a need for meta-analyses to track therapeutic advances. Performing a new meta-analysis whenever the results of a new trial of a particular therapy are published permits the study of trends in efficacy and makes it possible to determine when a new treatment appears to be significantly effective or deleterious. We describe the use of such a procedure, cumulative meta-analysis, to assess therapeutic trials among patients with myocardial infarction. METHODS: We performed cumulative meta-analyses of clinical trials that evaluated 15 treatments and preventive measures for acute myocardial infarction. RESULTS: An example of this method is its application to the use of intravenous streptokinase as thrombolytic therapy for acute infarction. Thirty-three trials evaluating this therapy were performed between 1959 and 1988. We found that a consistent, statistically significant reduction in total mortality (odds ratios, 0.74; 95 percent confidence interval, 0.59 to 0.92) was achieved in 1973, after only eight trials involving 2432 patients had been completed. The results of the 25 subsequent trials, which enrolled an additional 34,542 patients through 1988, had little or no effect on the odds ratio establishing efficacy, but simply narrowed the 95 percent confidence interval. In particular, two very large trials, the Gruppo Italiano per lo Studio della Streptochinasi nell'Infarto Miocardico trial in 1986 (11,712 patients) and the Second International Study of Infarct Survival trial in 1988 (17,187 patients) did not modify the already established evidence of efficacy. We used a similar approach to study the accumulating evidence of efficacy (or lack of efficacy) of 14 other therapies and preventive measures for myocardial infarction. CONCLUSIONS: Cumulative meta-analysis of therapeutic trials facilitates the determination of clinical efficacy and harm and may be helpful in tracking trials, planning future trials, and making clinical recommendations for therapy.
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“While several tools have been developed to accelerate SRs 4,5 , none are capable of full automation with human-level accuracy.”
From Automation of Systematic Reviews with Large Language Models (2025) · cites this paper as [5]
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“Lau and colleagues demonstrated that, had a cumulative meta-analysis been regularly updated, the beneficial effect of streptokinase in patients who had experienced an acute myocardial infarction would have been established by 1973”
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Citations
Cites
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Beta blockade during and after myocardial infarction: An overview of the randomized trials
Yusuf, S., Peto, R., Lewis, J., Collins, R., & Sleight, P. (1985) · Progress in Cardiovascular Diseases · doi:10.1016/s0033-0620(85)80003-7 · Cited by 3,205
急性心筋梗塞の疑いのある17187症例におけるストレプトキナーゼ静脈内投与,アスピリン経口投与,上記2つの併用または無処置の無作偽試験 ISIS-2
Dienstl, F., Backer, G. D., Cairns, J., Pedersen, F., Kala, R., Boissel, J., Schroeder, R., Horgan, J., & Tognoni, G. (1988) · The Lancet · Cited by 2,754
An overview of randomized trials of rehabilitation with exercise after myocardial infarction.
O'Connor, G. T., Buring, J. E., Yusuf, S., Goldhaber, S. Z., Olmstead, E. M., Paffenbarger, R. S., & Hennekens, C. H. (1989) · Circulation · doi:10.1161/01.cir.80.2.234 · Cited by 1,414
Collins, R., Scrimgeour, A., Yusuf, S., & Peto, R. (1988) · New England Journal of Medicine · doi:10.1056/nejm198805053181805 · Cited by 1,307
Meta-Analysis in Clinical Research
L'ABBÉ, K. A., DETSKY, A. S., & O'ROURKE, K. (1987) · Annals of Internal Medicine · doi:10.7326/0003-4819-107-2-224 · Cited by 1,267
Meta-Analyses of Randomized Controlled Trials
Sacks, H. S., Berrier, J., Reitman, D., Ancona-Berk, V. A., & Chalmers, T. C. (1987) · New England Journal of Medicine · doi:10.1056/nejm198702193160806 · Cited by 1,257
Self-citationSecondary prevention of vascular disease by prolonged antiplatelet treatment
Antiplatelet Trialists' Collaboration (1988) · BMJ · doi:10.1136/bmj.296.6618.320 · Cited by 1,048
Research works printed but not linked: 14
- 10.1001/jama.268.2.240 · DOI · Paper page
- Mantel, 1959, J Natl Cancer Inst, 22, 719
- Lau, Controlled Clin Trials
- 1982, Lancet, 1, 1159
- ISIS-2 (Second International Study of Infarct Survival) Collaborative Group, 1988, Lancet, 2, 349
- 10.1001/archinte.149.12.2694 · DOI
- Lewis, 1982, Prim Cardiol, 31
- Baber, 1983, Circulation, 67, I-71
- Furberg, 1983, Circulation, 67, I-83
- 1980, Lancet, 1, 1172
- Canner, 1983, Isr J Med Sci, 19, 413
- 10.1001/jama.260.7.945 · DOI · Paper page
- Gruppo Italiano per lo Studio della Streptochinasi nell'Infarto Miocardico (GISST), 1986, Lancet, 1, 397
- The Aspirin Myocardial Infarction Study Research Group, 1980, Circulation, 62, V-79
Cited by
Sorted by citations
Items 801–900 of 1,000
Large Clinical Trials and Registries—Clinical Research Institutes
Califf, R. M. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-849905-4.00028-9 · Cited by 5
A meta-analysis of aid effectiveness: Revisiting the evidence
Mekasha, T. J., & Tarp, F. (2018) · Working Paper Series · doi:10.35188/unu-wider/2018/486-5 · Cited by 5
[Medication adherence to secondary prevention for coronary artery disease].
Rossi, E., Perman, G., Michelángelo, H., Alonzo, C., Brescacín, L., Kopitowski, K. S., & Estrada, J. L. N. (2014) · PubMed · Cited by 5
Sun, L., Zhang, Z., Ma, M., Xu, G., & Liu, X. (2014) · NeuroMolecular Medicine · doi:10.1007/s12017-014-8330-x · Cited by 5
Weng, Y., Fei, B., He, P., & Cai, M. (2012) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2012.13.9.4403 · Cited by 5
Evidence-based medicine and meta-analysis
Lau, J. (2007) · Elsevier eBooks · doi:10.1016/b978-012369377-8/50012-x · Cited by 5
Self-citationWang, Z.-H., Pan, J.-H., Ma, X.-P., Xu, X. Y., Yu, W.-H., Fu, W.-J., Jian, K., Bi, C.-Q., Wei, W., Zhao, Q., et al. (2017) · Tropical Journal of Pharmaceutical Research · doi:10.4314/tjpr.v16i5.18 · Cited by 5
Dimou, N. L., Pantavou, K. G., & Bagos, P. G. (2017) · Annals of Human Genetics · doi:10.1111/ahg.12203 · Cited by 5
Introduction to Systematic Reviews
Li, T., Saldanha, I. J., & Robinson, K. A. (2021) · Springer eBooks · doi:10.1007/978-3-319-52677-5_194-1 · Cited by 5
Sequential Bayesian Data Synthesis for Mediation and Regression Analysis
Wurpts, I. C., Miočević, M., & MacKinnon, D. P. (2021) · Prevention Science · doi:10.1007/s11121-021-01256-1 · Cited by 5
Sequential Discovery, Thinking Versus Dredging, and Shrink or Sink
Ioannidis, J. P. A. (2008) · Epidemiology · doi:10.1097/ede.0b013e31818207f6 · Cited by 5
Age-Related Differences in the Use of Cardiac Medications in Patients With Coronary Artery Disease
Mehta, R. N., Khan, I. A., Mehta, N. J., Ryschon, K. L., Vasavada, B. C., Sacchi, T. J., & Mendoza, C. (2001) · American Journal of Therapeutics · doi:10.1097/00045391-200107000-00003 · Cited by 5
Catalá-López, F., Saint-Gerons, D. M., Honrubia, C. D. L. F., & Martín-Serrano, G. (2014) · Revista Española de Salud Pública · doi:10.4321/s1135-57272014000100004 · Cited by 5
Krantz, D. S., & Lundgren, N. R. (1998) · Elsevier eBooks · doi:10.1016/b0080-4270(73)00088-2 · Cited by 5
Young, G. P., & Hoffman, J. R. (1995) · Emergency Medicine Clinics of North America · doi:10.1016/s0733-8627(20)30586-1 · Cited by 5
Federman, D. D., & Mutgi, A. B. (1992) · New England Journal of Medicine · doi:10.1056/nejm199210293271814 · Cited by 5
How Much Exercise is Enough for the Coronary Patient?
Franklin, B. A. (2000) · Preventive Cardiology · doi:10.1111/j.1520-037x.2000.80362.x · Cited by 5
Dysphagia in acute stroke: a long-awaited trial
Dennis, M. S. (2005) · The Lancet Neurology · doi:10.1016/s1474-4422(05)70265-9 · Cited by 5
A meta-analysis methodology for utilizing study-level covariate information from clinical trials
Huque, M. F., & Dubey, S. D. (1994) · Communication in Statistics- Theory and Methods · doi:10.1080/03610929408831261 · Cited by 5
Steiner, J. F. (2009) · JAMA · doi:10.1001/jama.2009.1280 · Cited by 5
Daida, H., Kottke, T. E., Backes, R. J., Gersh, B. J., Tangalos, E. G., & Bailey, K. R. (1997) · Mayo Clinic Proceedings · doi:10.4065/72.11.1014 · Cited by 5
Rowe, B. H., & Brown, M. D. (2007) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2006.11.002 · Cited by 5
What have we learned from meta‐analysis?
Stockler, M. R., & Coates, A. S. (1993) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1993.tb137859.x · Cited by 5
How to End Selective Reporting in Animal Research
ter Riet, G., & Bouter, L. M. (2016) · Methods and principles in medicinal chemistry · doi:10.1002/9783527695881.ch5 · Cited by 5
Califf, R. M. (2002) · Elsevier eBooks · doi:10.1016/b978-012274065-7/50017-4 · Cited by 5
An introduction to cumulative meta-analysis
Spineli, L. M., & Pandis, N. (2022) · American Journal of Orthodontics and Dentofacial Orthopedics · doi:10.1016/j.ajodo.2021.12.002 · Cited by 5
Identifying prior evidence for new trials (REVEAL): guidance for clinical researchers
Griebler, U., Ledinger, D., Klerings, I., Schandelmaier, S., Dobrescu, A. I., Deschodt, M., McLennan, S., Hemkens, L. G., Nußbaumer-Streit, B., & Briel, M. (2026) · BMJ · doi:10.1136/bmj-2024-083718 · Cited by 4
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Abdulmajeed, J., Pateras, K., Kostoulas, P., & Doi, S. A. R. (2024) · JBI Evidence Synthesis · doi:10.11124/jbies-23-00460 · Cited by 4
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Xiao, H., Li, M., Tian, L., Zha, B., Liu, M., & Yao, H. (2012) · European Archives of Oto-Rhino-Laryngology · doi:10.1007/s00405-012-2148-7 · Cited by 4
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Cappelleri, J. C., & Ingerick, M. (2014) · Research Synthesis Methods · doi:10.1002/jrsm.1116 · Cited by 4
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Tonini, C., Beghi, E., Telaro, E., & Candelise, L. (2001) · Neuroepidemiology · doi:10.1159/000054777 · Cited by 4
Zintzaras, E. (2013) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2013.04.017 · Cited by 4
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Altman, D. G. (2015) · Research Synthesis Methods · doi:10.1002/jrsm.1156 · Cited by 4
Tabah, A., Huggar, D., Wang, S., Johnson, S. J., Copher, R. M., O’Connell, T., McBride, A., & LeBlanc, T. W. (2022) · Future Oncology · doi:10.2217/fon-2022-0820 · Cited by 4
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Olomu, A. B., Watson, R. E., Siddiqi, A.-E.-A., Dwamena, F. C., McIntosh, B. A., Vasilenko, P., Kupersmith, J., & Holmes-Rovner, M. M. (2004) · Journal of General Internal Medicine · doi:10.1111/j.1525-1497.2004.30062.x · Cited by 4
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MacInnes, D. L. (2009) · British Journal of Cardiac Nursing · doi:10.12968/bjca.2009.4.7.43035 · Cited by 4
How to read a nephrology systematic review
Palmer, S. C., Navaneethan, S. D., & Strippoli, G. F. (2010) · Nephrology · doi:10.1111/j.1440-1797.2010.01284.x · Cited by 4
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Casares, L. M. M. (2001) · Hipertensión y Riesgo Vascular · doi:10.1016/s1889-1837(01)71146-4 · Cited by 4
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Self-citationMeta-Analysis: Aiming to Integrate the Evidence
Tango, T. (2001) · Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) · doi:10.2333/jbhmk.28.56 · Cited by 4
Hirudins: return of the leech?
(1992) · The Lancet · doi:10.1016/0140-6736(92)92110-2 · Cited by 4
Cumulative environmental impacts
Buckley, R. (2011) · SpringerReference · doi:10.1007/springerreference_29501 · Cited by 4
From Individual Trials to Groups of Trials: Reviews, Meta‐Analyses, and Guidelines
Jadad, A. R., & Enkin, M. W. (2007) · doi:10.1002/9780470691922.ch6 · Cited by 4
“A statistician looks at met-analysis”: Discussion
Irwig, L. (1995) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(94)00100-5 · Cited by 4
Prähospitale thrombolytische Therapie bei akutem Myokardinfarkt
CARLSSON, J., Schuster, H.-P., & Tebbe, U. (1997) · Der Anaesthesist · doi:10.1007/s001010050476 · Cited by 4
Franklin, B., & Berra, K. (2002) · Journal of Cardiopulmonary Rehabilitation (JCR) · doi:10.1097/00008483-200211000-00006 · Cited by 4
Is Aspirin Underused in Myocardial Infarction?
Arnau, J. M., & Agustí, A. (1997) · PharmacoEconomics · doi:10.2165/00019053-199712050-00003 · Cited by 4
Kuller, L. H. (1994) · Atherosclerosis · doi:10.1016/0021-9150(94)90160-0 · Cited by 4
Antiarrhythmic drugs in resuscitation
Chamberlain, D. A. (1998) · Heart · doi:10.1136/hrt.80.4.408 · Cited by 4
Commentary: Towards a definite coherent heterogeneity in meta-analyses
Genkinger, J. M., & Terry, M. B. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu136 · Cited by 4
An Introduction to Meta-Analysis
Jones, A. (1994) · Respiratory Care · doi:10.1177/194336549403900107 · Cited by 4
Meta‐Analysis of Clinical Trials
Thompson, S. G. (2014) · Wiley StatsRef: Statistics Reference Online · doi:10.1002/9781118445112.stat04945 · Cited by 4
Completeness of Safety Reporting in Randomized Trials: An Evaluation of 7 Medical Areas
Ioannidis, J. P. A., & Lau, J. (2001) · JAMA · doi:10.1001/jama.285.4.437 · Cited by 3
Self-citationMulder, J., & van Aert, R. C. M. (2025) · Research Synthesis Methods · doi:10.1017/rsm.2025.10060 · Cited by 6
Advancing towards better health care: decisions based on scientific evidence
Jovell, A. J. (2009) · Anales del Sistema Sanitario de Navarra · doi:10.23938/assn.0606 · Cited by 3
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Suzuki, N., Tanabe, K., Osada, N., Yamamoto, A., Nakayama, M., Yokoyama, Y., Oya, M., Murabayashi, T., Omiya, K., Itoh, H., et al. (2000) · Japanese Circulation Journal-english Edition · doi:10.1253/jcj.64.377 · Cited by 3
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Quan, H., Ma, Y., Zheng, Y., Cho, M., Lorenzato, C., & Hecquet, C. (2015) · Pharmaceutical Statistics · doi:10.1002/pst.1669 · Cited by 3
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Matsuzawa, R., Hoshi, K., Yoneki, K., & Matsunaga, A. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-010990 · Cited by 3
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Gulliford, M. C. (2015) · doi:10.1093/med/9780199661756.003.0015 · Cited by 3
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Gaasedelen, O. J. (2016) · Professional Psychology Research and Practice · doi:10.1037/pro0000074 · Cited by 3
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Buchwald, H. (2019) · Springer eBooks · doi:10.1007/978-3-030-25173-4_24 · Cited by 3
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Stanaway, F., Noguchi, N., Mathieu, E., Khalatbari‐Soltani, S., & Bhopal, R. S. (2020) · BMJ Open · doi:10.1136/bmjopen-2019-034903 · Cited by 3
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Saldanha, I. J., Adam, G. P., Schmid, C. H., Trikalinos, T. A., & Konnyu, K. J. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91200-6.00006-1 · Cited by 3
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Paladino, L., & Sinert, R. H. (2012) · Springer eBooks · doi:10.1007/978-1-4614-3360-6_9 · Cited by 3
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Hussein, A. A. R. M., Ibrahim, I. H., Mahmoud, I. A., Amary, M., & Sayad, R. (2022) · Egyptian Journal of Bronchology · doi:10.1186/s43168-021-00109-3 · Cited by 3
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Sandoya, E. (2008) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 3
Etwel, F., & Koren, G. (2015) · Clinical and investigative medicine · doi:10.25011/cim.v38i5.25684 · Cited by 3
Spiess, A., Roos, M., Frisullo, R., Stocker, D., Braunschweig, S., Folláth, F., Meier, P. J., & Fattinger, K. E. (2002) · European Journal of Internal Medicine · doi:10.1016/s0953-6205(01)00200-x · Cited by 3
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Gallagher, E. J. (1999) · Annals of Emergency Medicine · doi:10.1016/s0196-0644(99)70277-5 · Cited by 3
Meldrum, J. M. (1993) · Nutrition and Health · doi:10.1177/026010609300900209 · Cited by 3
Tomioka, K., Saeki, K., Obayashi, K., Tanaka, Y., & Kurumatani, N. (2014) · Systematic Reviews · doi:10.1186/2046-4053-3-112 · Cited by 3
Fibrinolytic Therapy in CCU Instead of Emergency Ward: How It Affects Door to Needle Time?
Zeraati, F., Homayounfar, S., Esna‐Ashari, F., & Khalili, M. (2014) · Europe PMC (PubMed Central) · Cited by 3
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Heidenreich, P. A., & McClellan, M. (2001) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226132303.003.0010 · Cited by 3
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Bunn, F. (2010) · University of Hertfordshire Research Archive (University of Hertfordshire) · Cited by 3
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(2003) · BMJ · doi:10.1136/bmj.327.7414.560 · Cited by 3
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Barker, F. G. (1994) · Neurosurgery · doi:10.1097/00006123-199409000-00017 · Cited by 3
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The MAST-I Collaborative Group (1995) · Springer eBooks · doi:10.1007/978-4-431-68459-6_23 · Cited by 3
Is health economics useful in cancer?
Williams, C. J. (1999) · Critical Reviews in Oncology/Hematology · doi:10.1016/s1040-8428(98)00037-7 · Cited by 3
Downing, D., Anthony, H. M., Birtwhistle, S., Eaton, K. K., Mansfield, J., Meldrum, J. M., & Radcliffe, M. (1996) · Journal of Nutritional & Environmental Medicine · doi:10.3109/13590849609001045 · Cited by 3
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Kahn, J. K., Cragg, D. R., ALMANY, S. L., & Ajluni, S. (1993) · Postgraduate Medicine · doi:10.1080/00325481.1993.11945769 · Cited by 3
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Al, S. (1997) · PubMed Central · Cited by 3
Chiappelli, F., Ramchandani, M. H., Phi, L., & Brant, X. (2012) · Springer eBooks · doi:10.1007/978-3-642-23144-5_3 · Cited by 3
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Huber, K., Nikfardjam, M., Christ, G., Gottsauner‐Wolf, M., Müllner, M., & Gulba, D. C. (1998) · Fibrinolysis and Proteolysis · doi:10.1016/s0268-9499(98)80308-1 · Cited by 3
Dissent The professional meta-analyst: An evolutionary advantage
Cook, D. J., & Guyatt, G. H. (1994) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(94)90075-2 · Cited by 4
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Dellavalle, R. P., FREEMAN, S. R., & Williams, H. C. (2007) · Journal of Investigative Dermatology · doi:10.1038/sj.jid.5700894 · Cited by 3
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Damen, J., & Nierich, A. P. (2001) · Current Anaesthesia and Critical Care · doi:10.1054/cacc.2001.0371 · Cited by 3
Schanberg, L. E., Kredich, D. W., Keefe, F. J., Lefebvre, J. C., & Gil, K. M. (1996) · Arthritis & Rheumatism · doi:10.1002/1529-0131(199604)9:2 · Cited by 80
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Cook, A., Packer, C., Stevens, A. J., & Quinn, T. (2004) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462304001473 · Cited by 3
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Ram, F. S. (2002) · Primary Care Respiratory Journal · doi:10.1038/pcrj.2002.102 · Cited by 3
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Barbir, M., Lazem, F., & Ilsley, C. D. J. (1996) · Developments in cardiovascular medicine · doi:10.1007/978-94-011-5406-2_35 · Cited by 3
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Berlin, J. A., Cepeda, S., & Kim, C. J. (2012) · Pharmacoepidemiology · doi:10.1002/9781119959946.ch40 · Cited by 3
Engels, E. (2000) · doi:10.1002/1097-0258(20000715)19:13 · Cited by 2
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Ban, J.-W., Madsen, T., Robinson, K. A., & Lund, H. (2026) · Annals of Internal Medicine · doi:10.7326/annals-25-02790 · Cited by 4
Tam, W., Tang, J.-L., Di, M., & Tsoi, K. K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113994 · Cited by 2
Lund, H. (2014) · European Journal of Physiotherapy · doi:10.3109/21679169.2014.917838 · Cited by 2
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Metadata
- Authors
- Lau, J., Antman, E. M., Jimenez-Silva, J., Kupelnick, B., Mosteller, F., & Chalmers, T. C.
- Affiliations
- Tufts University (US)
- Brigham and Women's Hospital (US)
- United States Department of Veterans Affairs (US)
- Harvard University (US)
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 1992-07-23
- Volume
- 327
- Issue
- 4
- Pages
- 248-254
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2320350515
- Cited by
- 1,140
- References
- 54
- Citations by year
- 2026: 17 · 2025: 14 · 2024: 17 · 2023: 25 · 2022: 28 · 2021: 25 · 2020: 25 · 2019: 21 · 2018: 28 · 2017: 19 · 2016: 38 · 2015: 36 · 2014: 61 · 2013: 32 · 2012: 49
- FWCI
- 11.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agency for Healthcare Research and Quality (R01 HS-05936, P0RT-1-PO1-HS 06341-02)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- myocardial infarction, acute myocardial infarction treatment, streptokinase, thrombolysis, mortality reduction, prophylaxis
- MeSH terms
- Humans, Myocardial Infarction, Streptokinase, Meta-Analysis as Topic, Thrombolytic Therapy, Confidence Intervals, Odds Ratio, Randomized Controlled Trials as Topic
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 ›
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