Source: Clinical and translational science [Clin Transl Sci] 2024 Apr; Vol. 17 (4), pp. e13803.Publisher: WileyBlackwell Pub Country of Publication: United States NLM ID: 101474067 Publication Model: Print Cited Medium:

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Academic Journal

Exploration of adverse events associated with risdiplam use: Retrospective cases from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database.

Authors : Yu L; College of Traditional Chinese Medicine of Chongqing Medical University, Chongqing, China.; Liu L

Subjects: Muscular Atrophy, Spinal* ; Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/epidemiology ; Pyrimidines*

Source: PloS one [PLoS One] 2024 Mar 01; Vol. 19 (3), pp. e0298609. Date of Electronic Publication: 2024 Mar 01 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection

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Academic Journal

Broadening the capture of natural products mentioned in FAERS using fuzzy string-matching and a Siamese neural network.

Authors : Dilán-Pantojas IO; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, USA. .; Boonchalermvichien T

Subjects: Biological Products* ; Drug-Related Side Effects and Adverse Reactions*; United States

Source: Scientific reports [Sci Rep] 2024 Jan 13; Vol. 14 (1), pp. 1272. Date of Electronic Publication: 2024 Jan 13.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Pharmacovigilance Study of Infigratinib: A Safety Analysis of the FDA Adverse Event Reporting System.

Authors : Zhao D; Department of Clinical Pharmacy, The Third Hospital of Mianyang (Sichuan Mental Health Center), Mianyang, 621000, Sichuan, People's Republic of China. .; Long X

Subjects: Pharmacovigilance* ; Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/epidemiology; United States

Source: Drugs in R&D [Drugs R D] 2023 Dec; Vol. 23 (4), pp. 403-409. Date of Electronic Publication: 2023 Sep 12.Publisher: Adis, Springer International Country of Publication: New Zealand NLM ID: 100883647 Publication Model: Print-Electronic Cited Medium: Internet

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Academic Journal

Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events.

Authors : Montes-Grajales D; Chemotargets SL, Parc Científic de Barcelona, Baldiri Reixac 4 (TR-03), 08028, Barcelona, Catalonia, Spain.; Garcia-Serna R

Subjects: COVID-19*/COVID-19*/COVID-19*/epidemiology ; Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/epidemiology; United States/United States/United States/epidemiology

Source: Scientific reports [Sci Rep] 2023 Nov 01; Vol. 13 (1), pp. 18817. Date of Electronic Publication: 2023 Nov 01.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Drug-associated kidney injury in children: a disproportionality analysis of the FDA Adverse Event Reporting System.

Authors : Zhang M; Department of Pharmacy, West China Second University Hospital, Sichuan University, Chengdu, China.; Evidence-Based Pharmacy Center, West China Second University Hospital, Sichuan University, Chengdu, China.

Subjects: Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/epidemiology ; Acute Kidney Injury*/Acute Kidney Injury*/Acute Kidney Injury*/chemically induced ; Acute Kidney Injury*/Acute Kidney Injury*/Acute Kidney Injury*/epidemiology

Source: European journal of pediatrics [Eur J Pediatr] 2023 Oct; Vol. 182 (10), pp. 4655-4661. Date of Electronic Publication: 2023 Aug 10.Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7603873 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Identifying Medications Underlying Communication Atypicalities in Psychotic and Affective Disorders: A Pharmacovigilance Study Within the FDA Adverse Event Reporting System.

Authors : Fusaroli M; Pharmacology Unit, Department of Medical and Surgical Sciences, University of Bologna, Italy.; Simonsen A

Source: Journal of speech, language, and hearing research : JSLHR [J Speech Lang Hear Res] 2023 Sep 13; Vol. 66 (9), pp. 3242-3259. Date of Electronic Publication: 2023 Jul 31.Publisher: American Speech-Language-Hearing Association Country of Publication: United States NLM ID: 9705610 Publication Model:

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Academic Journal

Parameter estimation of Weibull distribution for the number of days between drug administration and early onset adverse event.

Authors : Ogura T; Clinical Research Support Center, Mie University Hospital, Tsu, Mie, Japan.; Shiraishi C

Subjects: Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/diagnosis ; Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/epidemiology; United States

Source: Journal of biopharmaceutical statistics [J Biopharm Stat] 2023 May 04; Vol. 33 (3), pp. 386-399. Date of Electronic Publication: 2022 Dec 13.Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines.

Authors : Farghaly HM; Computer Science Department, Faculty of Science, Minia University, Minya, Egypt.; Scientific Research Group in Egypt (SRGE).

Subjects: COVID-19*/COVID-19*/COVID-19*/prevention & control ; Deep Learning* ; Drug-Related Side Effects and Adverse Reactions*

Source: Scientific reports [Sci Rep] 2023 Jun 06; Vol. 13 (1), pp. 9171. Date of Electronic Publication: 2023 Jun 06.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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An evaluation of adverse drug reactions and outcomes attributed to kratom in the US Food and Drug Administration Adverse Event Reporting System from January 2004 through September 2021.

Authors : Li X; School of Pharmacy, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.; Ndungu P

Subjects: Mitragyna*/Mitragyna*/Mitragyna*/adverse effects ; Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/Drug-Related Side Effects and Adverse Reactions*/epidemiology; United States/United States/United States/epidemiology

Source: Clinical and translational science [Clin Transl Sci] 2023 Jun; Vol. 16 (6), pp. 1002-1011. Date of Electronic Publication: 2023 Mar 20.Publisher: WileyBlackwell Pub Country of Publication: United States NLM ID: 101474067 Publication Model: Print-Electronic

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نتائج البحث

فلترة النتائج

Postmarket safety communications on drugs approved in Japan: A 25-year analysis.

Exploration of adverse events associated with risdiplam use: Retrospective cases from the US Food and Drug Administration Adverse Event Reporting System (FAERS) database.

Broadening the capture of natural products mentioned in FAERS using fuzzy string-matching and a Siamese neural network.

Pharmacovigilance Study of Infigratinib: A Safety Analysis of the FDA Adverse Event Reporting System.

Impact of the COVID-19 pandemic on the spontaneous reporting and signal detection of adverse drug events.

Drug-associated kidney injury in children: a disproportionality analysis of the FDA Adverse Event Reporting System.

Identifying Medications Underlying Communication Atypicalities in Psychotic and Affective Disorders: A Pharmacovigilance Study Within the FDA Adverse Event Reporting System.

Parameter estimation of Weibull distribution for the number of days between drug administration and early onset adverse event.

A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines.

An evaluation of adverse drug reactions and outcomes attributed to kratom in the US Food and Drug Administration Adverse Event Reporting System from January 2004 through September 2021.

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