Pharmacokinetic/Pharmacodynamic Background and Methods and Scientific Evidence Base for Dosing of Second-line Tuberculosis Drugs

A World Health Organization workshop systematically examined the evidence base for dosing second-line tuberculosis drugs, identifying knowledge gaps. To fill these in, pharmacokinetics/pharmacodynamics, Monte Carlo experiments, and artificial intelligence algorithms were used in hollow-fiber model s...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Clinical infectious diseases Ročník 67; číslo suppl_3; s. S267
Hlavní autori: Gumbo, Tawanda, Alffenaar, Jan-Willem C
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States 28.11.2018
Predmet:
Algorithms
Antitubercular Agents - pharmacokinetics
Artificial Intelligence
Drug Discovery
Drug Evaluation, Preclinical
Humans
Monte Carlo Method
Mycobacterium tuberculosis - drug effects
Tuberculosis - drug therapy
Tuberculosis - microbiology
ISSN:1537-6591, 1537-6591
On-line prístup:Zistit podrobnosti o prístupe
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract A World Health Organization workshop systematically examined the evidence base for dosing second-line tuberculosis drugs, identifying knowledge gaps. To fill these in, pharmacokinetics/pharmacodynamics, Monte Carlo experiments, and artificial intelligence algorithms were used in hollow-fiber model studies and clinical data analyses.
AbstractList A World Health Organization workshop systematically examined the evidence base for dosing second-line tuberculosis drugs, identifying knowledge gaps. To fill these in, pharmacokinetics/pharmacodynamics, Monte Carlo experiments, and artificial intelligence algorithms were used in hollow-fiber model studies and clinical data analyses.
A World Health Organization workshop systematically examined the evidence base for dosing second-line tuberculosis drugs, identifying knowledge gaps. To fill these in, pharmacokinetics/pharmacodynamics, Monte Carlo experiments, and artificial intelligence algorithms were used in hollow-fiber model studies and clinical data analyses.A World Health Organization workshop systematically examined the evidence base for dosing second-line tuberculosis drugs, identifying knowledge gaps. To fill these in, pharmacokinetics/pharmacodynamics, Monte Carlo experiments, and artificial intelligence algorithms were used in hollow-fiber model studies and clinical data analyses.
Author Gumbo, Tawanda
Alffenaar, Jan-Willem C
Author_xml – sequence: 1
  givenname: Tawanda
  surname: Gumbo
  fullname: Gumbo, Tawanda
  organization: Center for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas
– sequence: 2
  givenname: Jan-Willem C
  surname: Alffenaar
  fullname: Alffenaar, Jan-Willem C
  organization: University of Groningen, University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, The Netherlands
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30496455$$D View this record in MEDLINE/PubMed
BookMark eNpNkMtOwzAQRS1URB-w4QOQl2xC7cSJkyW05SEVgdSyrvwYt6aJXeIEqTs-nQCtxOJq7swc3ZFmiHrOO0DokpIbSopkrKzutM9IfoIGNE14lKUF7f3zfTQM4Z0QSnOSnqF-QliRsTQdoK_XjagrofzWOmisGh97vXeisgrfCbVd1751GotOz9BsvA6_fqEsuMaajpp9Wg1OQYcHwMbXeOqDdWvsDV6A8k5HZXcAL1sJtWrLbhnwtG7X4RydGlEGuDjUEXq7ny0nj9H85eFpcjuPFCN5E3EuioQnPFYy4TyOgfMiy4goZJwwkERIAPkzyWWqpaaKGM41o0YJYygT8Qhd_-Xuav_RQmhWlQ0KylI48G1YxZRRwvK0yx6hqwPaygr0alfbStT71fFr8TfgEHJz
CitedBy_id crossref_primary_10_1093_cid_ciy618
crossref_primary_10_3389_fphar_2022_1063453
crossref_primary_10_1080_14787210_2019_1621747
crossref_primary_10_1007_s40262_020_00860_8
crossref_primary_10_1093_cid_ciy609
crossref_primary_10_1016_j_ijantimicag_2023_106847
crossref_primary_10_1016_j_ijantimicag_2023_106968
crossref_primary_10_1080_17460441_2023_2157811
crossref_primary_10_1093_cid_ciz942
crossref_primary_10_1093_cid_ciy611
crossref_primary_10_1016_j_cmi_2020_03_008
crossref_primary_10_1093_cid_ciy612
crossref_primary_10_1093_cid_ciy623
crossref_primary_10_1111_bcp_14795
crossref_primary_10_1093_cid_ciy613
crossref_primary_10_1164_rccm_201909_1874ST
crossref_primary_10_1007_s40262_021_00997_0
crossref_primary_10_1093_cid_ciaa1271
crossref_primary_10_2147_DDDT_S473080
crossref_primary_10_1128_AAC_02255_20
crossref_primary_10_1007_s11904_025_00746_z
crossref_primary_10_1093_cid_ciaa755
ContentType Journal Article
DBID CGR
CUY
CVF
ECM
EIF
NPM
7X8
DOI 10.1093/cid/ciy608
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: 7X8
  name: MEDLINE - Academic
  url: https://search.proquest.com/medline
  sourceTypes: Aggregation Database
DeliveryMethod no_fulltext_linktorsrc
Discipline Medicine
EISSN 1537-6591
ExternalDocumentID 30496455
Genre Introductory Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NIAID NIH HHS
  grantid: R56 AI111985
GroupedDBID ---
..I
.2P
.I3
.ZR
08P
0R~
1KJ
29B
2AX
2WC
36B
4.4
48X
53G
5GY
5RE
5VS
5WD
6J9
70D
AABZA
AACGO
AACZT
AAJKP
AAJQQ
AAMVS
AANCE
AAOGV
AAPNW
AAPQZ
AAPXW
AAQQT
AARHZ
AAUAY
AAUQX
AAVAP
ABBHK
ABDFA
ABEJV
ABEUO
ABGNP
ABIXL
ABJNI
ABKDP
ABLJU
ABNHQ
ABNKS
ABOCM
ABPLY
ABPQP
ABPTD
ABQLI
ABQNK
ABTLG
ABVGC
ABWST
ABXSQ
ABXVV
ABZBJ
ACGFO
ACGFS
ACPRK
ACUFI
ACUTJ
ACUTO
ACYHN
ADBBV
ADEYI
ADGZP
ADHKW
ADHZD
ADIPN
ADNBA
ADOCK
ADQBN
ADRTK
ADVEK
ADYVW
ADZXQ
AEGPL
AEGXH
AEJOX
AEKSI
AEMDU
AEMQT
AENEX
AENZO
AEPUE
AETBJ
AEUPB
AEWNT
AEXZC
AFFZL
AFIYH
AFOFC
AFRAH
AFXAL
AFYAG
AGINJ
AGKEF
AGQXC
AGSYK
AGUTN
AHMBA
AHMMS
AHXPO
AIAGR
AIJHB
AJEEA
AJNCP
ALMA_UNASSIGNED_HOLDINGS
ALUQC
ALXQX
APIBT
APWMN
AQKUS
ATGXG
AXUDD
BAWUL
BAYMD
BCRHZ
BEYMZ
BHONS
BTRTY
BVRKM
C45
CDBKE
CGR
CS3
CUY
CVF
CZ4
DAKXR
DCCCD
DIK
DILTD
DU5
D~K
E3Z
EBS
ECM
EE~
EIF
EJD
EMOBN
ENERS
F5P
F9B
FECEO
FLUFQ
FOEOM
FOTVD
FQBLK
GAUVT
GJXCC
H13
H5~
HAR
HW0
HZ~
IOX
IPSME
J21
JAAYA
JBMMH
JENOY
JHFFW
JKQEH
JLS
JLXEF
JPM
JSG
JST
JXSIZ
KAQDR
KBUDW
KOP
KSI
KSN
L7B
M49
MHKGH
MJL
ML0
N9A
NGC
NOMLY
NOYVH
NPM
NU-
O9-
OAUYM
OAWHX
OCZFY
ODMLO
ODZKP
OJQWA
OJZSN
OK1
OPAEJ
OVD
OWPYF
P2P
P6G
PAFKI
PEELM
PQQKQ
Q1.
Q5Y
QBD
RD5
ROX
ROZ
RUSNO
RW1
RXO
SA0
SJN
TCURE
TEORI
TJX
TMA
TR2
W8F
X7H
YAYTL
YKOAZ
YXANX
~91
~S-
7X8
AJBYB
ID FETCH-LOGICAL-c408t-77a937372cb37722e779660a9b234eb0abeeb96608b5dbd1c0f77d41fcaff14a2
IEDL.DBID 7X8
ISICitedReferencesCount 27
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000459635000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1537-6591
IngestDate Mon Sep 29 05:50:21 EDT 2025
Thu Apr 03 07:06:27 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue suppl_3
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c408t-77a937372cb37722e779660a9b234eb0abeeb96608b5dbd1c0f77d41fcaff14a2
Notes ObjectType-Article-1
content type line 23
SourceType-Scholarly Journals-1
OpenAccessLink https://academic.oup.com/cid/article-pdf/67/suppl_3/S267/26826091/ciy608.pdf
PMID 30496455
PQID 2141048572
PQPubID 23479
ParticipantIDs proquest_miscellaneous_2141048572
pubmed_primary_30496455
PublicationCentury 2000
PublicationDate 2018-11-28
PublicationDateYYYYMMDD 2018-11-28
PublicationDate_xml – month: 11
  year: 2018
  text: 2018-11-28
  day: 28
PublicationDecade 2010
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Clinical infectious diseases
PublicationTitleAlternate Clin Infect Dis
PublicationYear 2018
SSID ssj0011805
Score 2.415742
Snippet A World Health Organization workshop systematically examined the evidence base for dosing second-line tuberculosis drugs, identifying knowledge gaps. To fill...
SourceID proquest
pubmed
SourceType Aggregation Database
Index Database
StartPage S267
SubjectTerms Algorithms
Antitubercular Agents - pharmacokinetics
Artificial Intelligence
Drug Discovery
Drug Evaluation, Preclinical
Humans
Monte Carlo Method
Mycobacterium tuberculosis - drug effects
Tuberculosis - drug therapy
Tuberculosis - microbiology
Title Pharmacokinetic/Pharmacodynamic Background and Methods and Scientific Evidence Base for Dosing of Second-line Tuberculosis Drugs
URI https://www.ncbi.nlm.nih.gov/pubmed/30496455
https://www.proquest.com/docview/2141048572
Volume 67
WOSCitedRecordID wos000459635000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bS8MwFA7qRHzxfpk3Ivha1ku6pE-izuHLxsAJeytJmohM2rlugm_-dM9JW_YkCD60NG0CJTlJvnPJ-Qi5ibuAURVMQKM5Upgp4ylUVkzMrLAAyBm3jmyCD4diMklGtcGtrMMqmzXRLdRZodFG3gkxIJGJmIe3sw8PWaPQu1pTaKyTVgRQBqWaT1ZehEC4EEaY1NzrxknQpCdNoo6GodZvX11f_A4t3RbT3_3vz-2RnRpc0rtKGvbJmskPyNagdp8fku9Rnah6CkWo02nKWcVLT--lnuI5jzyjEq6Bo5cu3bNbBFxgEW2YSKF6aSigXtor0ORAC0ufUcHOPASvdLxUZq6X7_CxpL358rU8Ii_9x_HDk1dTMHia-WIB2FsCfol4qFUEODw0nGM6T5moMGJG-VIZo_CNUHGmskD7lvOMBVZLawMmw2OykRe5OSUUoJAEdRh2R3QrSyu1CbhlsfUTDTqfbpPrpm9TEHH0W8jcFMsyXfVum5xUA5TOqlwcKXoJuyyOz_7Q-pxsA9wReJIwFBekZWGCm0uyqT8Xb-X8yskO3IejwQ_ZcND8
linkProvider ProQuest
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Pharmacokinetic%2FPharmacodynamic+Background+and+Methods+and+Scientific+Evidence+Base+for+Dosing+of+Second-line+Tuberculosis+Drugs&rft.jtitle=Clinical+infectious+diseases&rft.au=Gumbo%2C+Tawanda&rft.au=Alffenaar%2C+Jan-Willem+C&rft.date=2018-11-28&rft.eissn=1537-6591&rft.volume=67&rft.issue=suppl_3&rft.spage=S267&rft_id=info:doi/10.1093%2Fcid%2Fciy608&rft_id=info%3Apmid%2F30496455&rft_id=info%3Apmid%2F30496455&rft.externalDocID=30496455
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1537-6591&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1537-6591&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1537-6591&client=summon