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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1837 1
1916 3
1920 1
1921 1
1925 1
1937 1
1942 1
1943 1
1944 2
1945 52
1946 246
1947 219
1948 192
1949 190
1950 369
1951 566
1952 618
1953 727
1954 522
1955 508
1956 466
1957 466
1958 528
1959 505
1960 449
1961 553
1962 585
1963 1554
1964 2603
1965 2383
1966 1860
1967 2209
1968 2839
1969 3255
1970 3369
1971 4080
1972 4556
1973 4606
1974 5207
1975 4897
1976 4630
1977 5050
1978 5266
1979 5921
1980 5797
1981 5784
1982 6871
1983 7456
1984 8680
1985 9561
1986 10410
1987 11797
1988 14122
1989 17784
1990 23920
1991 28467
1992 33809
1993 39077
1994 44645
1995 48522
1996 42802
1997 34740
1998 36363
1999 38007
2000 39507
2001 39377
2002 39205
2003 42028
2004 44867
2005 46835
2006 48846
2007 49382
2008 49956
2009 50671
2010 53848
2011 57246
2012 59725
2013 59585
2014 60787
2015 58437
2016 49407
2017 45993
2018 46465
2019 48889
2020 53886
2021 52974
2022 44006
2023 39227
2024 40721
2025 435

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1,636,716 results

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Page 1
Lessons learned from a multi-data source research collaboration: The mirabegron post-authorization safety study program.
de Vogel S, Seeger JD, Arana A, Margulis AV, McQuay LJ, Perez-Gutthann S, Hallas J, Kristiansen NS, Linder M, Odsbu I, Suehs B, Xu Y, Uribe C, Appenteng K, Robinson NJ. de Vogel S, et al. Pharmacoepidemiol Drug Saf. 2024 May;33(5):e5799. doi: 10.1002/pds.5799. Pharmacoepidemiol Drug Saf. 2024. PMID: 38680102 Review.
BACKGROUND: Many factors contribute to developing and conducting a successful multi-data source, non-interventional, post-authorization safety study (NI-PASS) for submission to multiple health authorities. ...CONCLUSIONS: This large PMR/PASS program was a long-term …
BACKGROUND: Many factors contribute to developing and conducting a successful multi-data source, non-interventional, post-auth …
Meteorological data source comparison-a case study in geospatial modeling of potential environmental exposure to abandoned uranium mine sites in the Navajo Nation.
Girlamo C, Lin Y, Hoover J, Beene D, Woldeyohannes T, Liu Z, Campen MJ, MacKenzie D, Lewis J. Girlamo C, et al. Environ Monit Assess. 2023 Jun 12;195(7):834. doi: 10.1007/s10661-023-11283-w. Environ Monit Assess. 2023. PMID: 37303005 Free PMC article.
Results indicate significant variations in results derived from different wind data sources. After validating the results from each source using the National Uranium Resource Evaluation (NURE) database in a geographically weighted regression (GWR), METARs …
Results indicate significant variations in results derived from different wind data sources. After validating the results from …
Data source profile reporting by studies that use routinely collected health data to explore the effects of drug treatment.
Wang W, Liu M, He Q, Wang M, Xu J, Li L, Li G, He L, Zou K, Sun X. Wang W, et al. BMC Med Res Methodol. 2023 Apr 20;23(1):95. doi: 10.1186/s12874-023-01922-8. BMC Med Res Methodol. 2023. PMID: 37081410 Free PMC article.
BACKGROUND: Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of data source profiles may increase the credibility of evidence generated from these data. ...Studies citing database-spe …
BACKGROUND: Routinely collected health data (RCD) are important resource for exploring drug treatment effects. Adequate reporting of …
Assessing the pediatric subspecialty pipeline: it is all about the data source.
Freed GL, Wickham KL. Freed GL, et al. Pediatr Res. 2023 Jun;93(7):1907-1912. doi: 10.1038/s41390-022-02438-5. Epub 2022 Dec 23. Pediatr Res. 2023. PMID: 36564480
BACKGROUND: National Resident Match Program (NRMP) data are often used to identify the pediatric subspecialty pipeline. Other data sources may provide greater accuracy. ...IMPACT: Perceptions of the pipeline for the pediatric subspecialty workforce vary depen …
BACKGROUND: National Resident Match Program (NRMP) data are often used to identify the pediatric subspecialty pipeline. Other data
Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data.
Du X, Jiang X, Lin J; The Alzheimer’s Disease Neuroimaging Initiative. Du X, et al. Psychometrika. 2023 Sep;88(3):975-1001. doi: 10.1007/s11336-023-09918-5. Epub 2023 Jun 2. Psychometrika. 2023. PMID: 37268759
Multi-source functional block-wise missing data arise more commonly in medical care recently with the rapid development of big data and medical technology, hence there is an urgent need to develop efficient dimension reduction to extract important informat
Multi-source functional block-wise missing data arise more commonly in medical care recently with the rapid development of big …
Contribution of Clinical Trial Event Data by Data Source: A Prespecified Analysis of the ADAPTABLE Randomized Clinical Trial.
Rymer JA, Mulder H, Wruck LM, Muñoz D, Kripalani S, Effron MB, Gupta K, Handberg E, Jain S, Girotra S, Whittle J, Hess R, Benziger CP, Knowlton KU, Curtis LH, Roe MT, Hammill BG, Rothman RL, Harrington R, Hernandez A, Jones WS. Rymer JA, et al. JAMA Cardiol. 2024 Sep 1;9(9):852-857. doi: 10.1001/jamacardio.2024.2019. JAMA Cardiol. 2024. PMID: 39046724 Clinical Trial.
Participants had existing atherosclerotic cardiovascular disease and available data to analyze. The characteristics of patients by combinations of data source availability were compared to examine the contribution of each of the data sources to …
Participants had existing atherosclerotic cardiovascular disease and available data to analyze. The characteristics of patients by co …
Impact of data source choice on multimorbidity measurement: a comparison study of 2.3 million individuals in the Welsh National Health Service.
MacRae C, Morales D, Mercer SW, Lone N, Lawson A, Jefferson E, McAllister D, van den Akker M, Marshall A, Seth S, Rawlings A, Lyons J, Lyons RA, Mizen A, Abubakar E, Dibben C, Guthrie B. MacRae C, et al. BMC Med. 2023 Aug 15;21(1):309. doi: 10.1186/s12916-023-02970-z. BMC Med. 2023. PMID: 37582755 Free PMC article.
BACKGROUND: Measurement of multimorbidity in research is variable, including the choice of the data source used to ascertain conditions. We compared the estimated prevalence of multimorbidity and associations with mortality using different data sources
BACKGROUND: Measurement of multimorbidity in research is variable, including the choice of the data source used to ascertain c …
PepQSAR: a comprehensive data source and information platform for peptide quantitative structure-activity relationships.
Lin J, Wen L, Zhou Y, Wang S, Ye H, Su J, Li J, Shu J, Huang J, Zhou P. Lin J, et al. Amino Acids. 2023 Feb;55(2):235-242. doi: 10.1007/s00726-022-03219-4. Epub 2022 Dec 6. Amino Acids. 2023. PMID: 36474016
In this study, we developed a comprehensive platform, termed PepQSAR database, which is a systematic collection and decomposition of various data sources and abundant information regarding the pQSARs, including AADs, MLMs, data sets, peptide sequences, …
In this study, we developed a comprehensive platform, termed PepQSAR database, which is a systematic collection and decomposition of various …
Estimating national and state-level suicide deaths using a novel online symptom search data source.
Sumner SA, Alic A, Law RK, Idaikkadar N, Patel N. Sumner SA, et al. J Affect Disord. 2023 Dec 1;342:63-68. doi: 10.1016/j.jad.2023.08.141. Epub 2023 Sep 11. J Affect Disord. 2023. PMID: 37704053 Free PMC article.
BACKGROUND: Suicide mortality data are a critical source of information for understanding suicide-related trends in the United States. ...CONCLUSION: The Google SSD is a new real-time data source that can be used to make accurate predictions of …
BACKGROUND: Suicide mortality data are a critical source of information for understanding suicide-related trends in the …
1,636,716 results
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