A dosing algorithm for metformin based on the relationships between exposure and renal clearance of metformin in patients with varying degrees of kidney function

Purpose The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CL R ), and apparent non-renal clearance of metformin (CL NR /F) in patients with varying degrees of kidney function and to develop dosing recommendations. Methods Plasma and urine sample...

Full description

Saved in:
Bibliographic Details
Published inEuropean journal of clinical pharmacology Vol. 73; no. 8; pp. 981 - 990
Main Authors Duong, Janna K., Kroonen, M. Y. A. M., Kumar, S. S., Heerspink, H. L., Kirkpatrick, C. M., Graham, G. G., Williams, K. M., Day, R. O.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2017
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN0031-6970
1432-1041
1432-1041
DOI10.1007/s00228-017-2251-1

Cover

Abstract Purpose The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CL R ), and apparent non-renal clearance of metformin (CL NR /F) in patients with varying degrees of kidney function and to develop dosing recommendations. Methods Plasma and urine samples were collected from three studies consisting of patients with varying degrees of kidney function (creatinine clearance, CL CR ; range, 14–112 mL/min). A population pharmacokinetic model was built (NONMEM) in which the oral availability (F) was fixed to 0.55 with an estimated inter-individual variability (IIV). Simulations were performed to estimate AUC 0-τ , CL R , and CL NR /F. Results The data (66 patients, 327 observations) were best described by a two-compartment model, and CL CR was a covariate for CL R . Mean CL R was 17 L/h (CV 22%) and mean CL NR /F was 1.6 L/h (69%).The median recovery of metformin in urine was 49% (range 19–75%) over a dosage interval. When CL R increased due to improved renal function, AUC 0-τ decreased proportionally, while CL NR /F did not change with kidney function. Target doses (mg/day) of metformin can be reached using CL CR /3 × 100 to obtain median AUC 0–12 of 18–26 mg/L/h for metformin IR and AUC 0–24 of 38–51 mg/L/h for metformin XR, with C max  < 5 mg/L. Conclusions The proposed dosing algorithm can be used to dose metformin in patients with various degrees of kidney function to maintain consistent drug exposure. However, there is still marked IIV and therapeutic drug monitoring of metformin plasma concentrations is recommended.
AbstractList Purpose The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CLR), and apparent non-renal clearance of metformin (CLNR/F) in patients with varying degrees of kidney function and to develop dosing recommendations. Methods Plasma and urine samples were collected from three studies consisting of patients with varying degrees of kidney function (creatinine clearance, CLCR; range, 14-112 mL/min). A population pharmacokinetic model was built (NONMEM) in which the oral availability (F) was fixed to 0.55 with an estimated inter-individual variability (IIV). Simulations were performed to estimate AUC0-[tau], CLR, and CLNR/F. Results The data (66 patients, 327 observations) were best described by a two-compartment model, and CLCR was a covariate for CLR. Mean CLR was 17 L/h (CV 22%) and mean CLNR/F was 1.6 L/h (69%).The median recovery of metformin in urine was 49% (range 19-75%) over a dosage interval. When CLR increased due to improved renal function, AUC0-[tau] decreased proportionally, while CLNR/F did not change with kidney function. Target doses (mg/day) of metformin can be reached using CLCR/3 × 100 to obtain median AUC0-12 of 18-26 mg/L/h for metformin IR and AUC0-24 of 38-51 mg/L/h for metformin XR, with Cmax < 5 mg/L. Conclusions The proposed dosing algorithm can be used to dose metformin in patients with various degrees of kidney function to maintain consistent drug exposure. However, there is still marked IIV and therapeutic drug monitoring of metformin plasma concentrations is recommended.
The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CL ), and apparent non-renal clearance of metformin (CL /F) in patients with varying degrees of kidney function and to develop dosing recommendations. Plasma and urine samples were collected from three studies consisting of patients with varying degrees of kidney function (creatinine clearance, CL ; range, 14-112 mL/min). A population pharmacokinetic model was built (NONMEM) in which the oral availability (F) was fixed to 0.55 with an estimated inter-individual variability (IIV). Simulations were performed to estimate AUC , CL , and CL /F. The data (66 patients, 327 observations) were best described by a two-compartment model, and CL was a covariate for CL . Mean CL was 17 L/h (CV 22%) and mean CL /F was 1.6 L/h (69%).The median recovery of metformin in urine was 49% (range 19-75%) over a dosage interval. When CL increased due to improved renal function, AUC decreased proportionally, while CL /F did not change with kidney function. Target doses (mg/day) of metformin can be reached using CL /3 × 100 to obtain median AUC of 18-26 mg/L/h for metformin IR and AUC of 38-51 mg/L/h for metformin XR, with C  < 5 mg/L. The proposed dosing algorithm can be used to dose metformin in patients with various degrees of kidney function to maintain consistent drug exposure. However, there is still marked IIV and therapeutic drug monitoring of metformin plasma concentrations is recommended.
Purpose The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CL R ), and apparent non-renal clearance of metformin (CL NR /F) in patients with varying degrees of kidney function and to develop dosing recommendations. Methods Plasma and urine samples were collected from three studies consisting of patients with varying degrees of kidney function (creatinine clearance, CL CR ; range, 14–112 mL/min). A population pharmacokinetic model was built (NONMEM) in which the oral availability (F) was fixed to 0.55 with an estimated inter-individual variability (IIV). Simulations were performed to estimate AUC 0-τ , CL R , and CL NR /F. Results The data (66 patients, 327 observations) were best described by a two-compartment model, and CL CR was a covariate for CL R . Mean CL R was 17 L/h (CV 22%) and mean CL NR /F was 1.6 L/h (69%).The median recovery of metformin in urine was 49% (range 19–75%) over a dosage interval. When CL R increased due to improved renal function, AUC 0-τ decreased proportionally, while CL NR /F did not change with kidney function. Target doses (mg/day) of metformin can be reached using CL CR /3 × 100 to obtain median AUC 0–12 of 18–26 mg/L/h for metformin IR and AUC 0–24 of 38–51 mg/L/h for metformin XR, with C max  < 5 mg/L. Conclusions The proposed dosing algorithm can be used to dose metformin in patients with various degrees of kidney function to maintain consistent drug exposure. However, there is still marked IIV and therapeutic drug monitoring of metformin plasma concentrations is recommended.
The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CLR), and apparent non-renal clearance of metformin (CLNR/F) in patients with varying degrees of kidney function and to develop dosing recommendations.PURPOSEThe aims of this study were to investigate the relationship between metformin exposure, renal clearance (CLR), and apparent non-renal clearance of metformin (CLNR/F) in patients with varying degrees of kidney function and to develop dosing recommendations.Plasma and urine samples were collected from three studies consisting of patients with varying degrees of kidney function (creatinine clearance, CLCR; range, 14-112 mL/min). A population pharmacokinetic model was built (NONMEM) in which the oral availability (F) was fixed to 0.55 with an estimated inter-individual variability (IIV). Simulations were performed to estimate AUC0-τ, CLR, and CLNR/F.METHODSPlasma and urine samples were collected from three studies consisting of patients with varying degrees of kidney function (creatinine clearance, CLCR; range, 14-112 mL/min). A population pharmacokinetic model was built (NONMEM) in which the oral availability (F) was fixed to 0.55 with an estimated inter-individual variability (IIV). Simulations were performed to estimate AUC0-τ, CLR, and CLNR/F.The data (66 patients, 327 observations) were best described by a two-compartment model, and CLCR was a covariate for CLR. Mean CLR was 17 L/h (CV 22%) and mean CLNR/F was 1.6 L/h (69%).The median recovery of metformin in urine was 49% (range 19-75%) over a dosage interval. When CLR increased due to improved renal function, AUC0-τ decreased proportionally, while CLNR/F did not change with kidney function. Target doses (mg/day) of metformin can be reached using CLCR/3 × 100 to obtain median AUC0-12 of 18-26 mg/L/h for metformin IR and AUC0-24 of 38-51 mg/L/h for metformin XR, with Cmax < 5 mg/L.RESULTSThe data (66 patients, 327 observations) were best described by a two-compartment model, and CLCR was a covariate for CLR. Mean CLR was 17 L/h (CV 22%) and mean CLNR/F was 1.6 L/h (69%).The median recovery of metformin in urine was 49% (range 19-75%) over a dosage interval. When CLR increased due to improved renal function, AUC0-τ decreased proportionally, while CLNR/F did not change with kidney function. Target doses (mg/day) of metformin can be reached using CLCR/3 × 100 to obtain median AUC0-12 of 18-26 mg/L/h for metformin IR and AUC0-24 of 38-51 mg/L/h for metformin XR, with Cmax < 5 mg/L.The proposed dosing algorithm can be used to dose metformin in patients with various degrees of kidney function to maintain consistent drug exposure. However, there is still marked IIV and therapeutic drug monitoring of metformin plasma concentrations is recommended.CONCLUSIONSThe proposed dosing algorithm can be used to dose metformin in patients with various degrees of kidney function to maintain consistent drug exposure. However, there is still marked IIV and therapeutic drug monitoring of metformin plasma concentrations is recommended.
Author Heerspink, H. L.
Kumar, S. S.
Graham, G. G.
Day, R. O.
Kirkpatrick, C. M.
Duong, Janna K.
Williams, K. M.
Kroonen, M. Y. A. M.
Author_xml – sequence: 1
  givenname: Janna K.
  surname: Duong
  fullname: Duong, Janna K.
  email: jkduong@gmail.com
  organization: School of Medical Sciences, Medicine, University of New South Wales, Department of Clinical Pharmacology and Toxicology, St Vincent’s Hospital, Faculty of Pharmacy, The University of Sydney
– sequence: 2
  givenname: M. Y. A. M.
  surname: Kroonen
  fullname: Kroonen, M. Y. A. M.
  organization: Department of Pharmacy and Pharmacology, University of Groningen
– sequence: 3
  givenname: S. S.
  surname: Kumar
  fullname: Kumar, S. S.
  organization: School of Medical Sciences, Medicine, University of New South Wales, Department of Clinical Pharmacology and Toxicology, St Vincent’s Hospital
– sequence: 4
  givenname: H. L.
  surname: Heerspink
  fullname: Heerspink, H. L.
  organization: Department of Pharmacy and Pharmacology, University of Groningen
– sequence: 5
  givenname: C. M.
  surname: Kirkpatrick
  fullname: Kirkpatrick, C. M.
  organization: Centre for Medicine Use and Safety, Monash University
– sequence: 6
  givenname: G. G.
  surname: Graham
  fullname: Graham, G. G.
  organization: School of Medical Sciences, Medicine, University of New South Wales, Department of Clinical Pharmacology and Toxicology, St Vincent’s Hospital
– sequence: 7
  givenname: K. M.
  surname: Williams
  fullname: Williams, K. M.
  organization: School of Medical Sciences, Medicine, University of New South Wales, Department of Clinical Pharmacology and Toxicology, St Vincent’s Hospital
– sequence: 8
  givenname: R. O.
  surname: Day
  fullname: Day, R. O.
  organization: School of Medical Sciences, Medicine, University of New South Wales, Department of Clinical Pharmacology and Toxicology, St Vincent’s Hospital, St Vincent’s Clinical School, Medicine, University of New South Wales
BackLink https://www.ncbi.nlm.nih.gov/pubmed/28451709$$D View this record in MEDLINE/PubMed
BookMark eNqNkc9u1DAQxi1URNuFB-CCLHHhEpixk3VyrCr-SZW4wDly7PFuSmIHO2G7j8Ob4mUXVFUCIdmay--b-eabS3bmgyfGniO8RgD1JgEIUReAqhCiwgIfsQsspSgQSjxjFwASi3Wj4JxdpnQLgFUD8gk7F3VZoYLmgv244jak3m-4HjYh9vN25C5EPtKcy9h73ulElgfP5y3xSIOe--DTtp8S72jeEXlOd1NISySuvc2I1wM3A-movSEe3L1m-U25Afk58V0exr_ruD9Mt7SJROlAf-2tpz13izeHUU_ZY6eHRM9OdcW-vHv7-fpDcfPp_cfrq5vClFjNRdmspXGotIFOKWlRlqWGzmggWYpGWFBalOtaG-qUw8baitzagXWq6YQTcsXEse_iJ73f6WFop9iP2V-L0B7ybo95tznv9pB3i1n06iiaYvi2UJrbsU-GhkF7CktqsW5kVck6_xV7-QC9DUvMWWWqwVo0KCVk6sWJWrqR7B8Lvy-WAXUETAwpRXKt6edfN5mj7od_esUHyv_Z7xRKyqzfULxn-q-inxi8y_4
CitedBy_id crossref_primary_10_1208_s12248_018_0286_6
crossref_primary_10_2215_CJN_00340118
crossref_primary_10_4236_pp_2024_1512025
crossref_primary_10_1111_bcp_14244
crossref_primary_10_1371_journal_pone_0246247
crossref_primary_10_1111_bcp_13480
crossref_primary_10_1007_s00228_019_02637_w
crossref_primary_10_2337_dc17_2231
crossref_primary_10_1111_bcp_14919
crossref_primary_10_1111_dom_14554
crossref_primary_10_3389_fphar_2022_908538
crossref_primary_10_1208_s12248_024_00962_2
crossref_primary_10_1016_j_phrs_2022_106114
crossref_primary_10_1111_bcpt_13273
crossref_primary_10_1080_17512433_2018_1501271
crossref_primary_10_1002_cpdd_638
Cites_doi 10.1007/s40262-013-0046-9
10.1016/j.cccn.2005.04.002
10.1111/j.1365-2125.1981.tb01206.x
10.2165/11588310-000000000-00000
10.1007/BF02353466
10.1159/000180580
10.1111/j.1365-2125.2008.03112.x
10.1007/BF00562061
10.2165/00003088-200544100-00004
10.1208/s12248-009-9133-0
10.1056/NEJMoa0806470
10.2165/11534750-000000000-00000
10.2165/00003088-200544070-00004
10.1016/j.cmpb.2010.04.018
10.1016/j.cmpb.2005.04.005
10.1038/sj.bjp.0706875
10.2147/TCRM.S91513
10.1111/j.1463-1326.2012.01617.x
10.1007/s40264-013-0038-6
ContentType Journal Article
Copyright Springer-Verlag Berlin Heidelberg 2017
European Journal of Clinical Pharmacology is a copyright of Springer, 2017.
Copyright_xml – notice: Springer-Verlag Berlin Heidelberg 2017
– notice: European Journal of Clinical Pharmacology is a copyright of Springer, 2017.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7RV
7TK
7U9
7X7
7XB
88E
8AO
8FI
8FJ
8FK
ABUWG
AFKRA
BENPR
CCPQU
FYUFA
GHDGH
H94
K9.
KB0
M0S
M1P
NAPCQ
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
PRINS
7X8
ADTOC
UNPAY
DOI 10.1007/s00228-017-2251-1
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Nursing & Allied Health Database
Neurosciences Abstracts
Virology and AIDS Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
ProQuest Pharma Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central
ProQuest Central (subscription)
ProQuest One Community College
Health Research Premium Collection
Health Research Premium Collection (Alumni)
AIDS and Cancer Research Abstracts
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Database (Alumni Edition)
Health & Medical Collection (Alumni Edition)
Medical Database
Nursing & Allied Health Premium
ProQuest Central Premium
ProQuest One Academic
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
Unpaywall for CDI: Periodical Content
Unpaywall
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
ProQuest One Academic Middle East (New)
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Pharma Collection
ProQuest Central China
ProQuest Central
ProQuest Health & Medical Research Collection
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Health & Medical Research Collection
AIDS and Cancer Research Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Virology and AIDS Abstracts
ProQuest One Academic Eastern Edition
ProQuest Nursing & Allied Health Source
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Nursing & Allied Health Premium
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
ProQuest Nursing & Allied Health Source (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList ProQuest One Academic Middle East (New)
MEDLINE

MEDLINE - Academic
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 3
  dbid: UNPAY
  name: Unpaywall
  url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/
  sourceTypes: Open Access Repository
– sequence: 4
  dbid: BENPR
  name: Proquest Central
  url: http://www.proquest.com/pqcentral?accountid=15518
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Pharmacy, Therapeutics, & Pharmacology
EISSN 1432-1041
EndPage 990
ExternalDocumentID 10.1007/s00228-017-2251-1
28451709
10_1007_s00228_017_2251_1
Genre Journal Article
Observational Study
GrantInformation_xml – fundername: Australian Research Council
  grantid: LP0990670
  funderid: http://dx.doi.org/10.13039/501100000923
– fundername: National Health and Medical Research Council
  grantid: 568612
  funderid: http://dx.doi.org/10.13039/501100000925
GroupedDBID ---
-4W
-56
-5G
-BR
-EM
-Y2
-~C
.86
.GJ
.VR
04C
06C
06D
0R~
0VY
199
1N0
1SB
2.D
203
28-
29G
29~
2J2
2JN
2JY
2KG
2KM
2LR
2P1
2VQ
2~H
30V
36B
3O-
3SX
3V.
4.4
406
408
409
40D
40E
53G
5QI
5RE
5VS
67N
67Z
6NX
6PF
78A
7RV
7X7
88E
8AO
8FI
8FJ
8FW
8TC
8UJ
95-
95.
95~
96X
AAAVM
AABHQ
AACDK
AAHNG
AAIAL
AAJBT
AAJKR
AANXM
AANZL
AARHV
AARTL
AASML
AATNV
AATVU
AAUYE
AAWCG
AAWTL
AAYIU
AAYOK
AAYQN
AAYTO
AAYZH
ABAKF
ABBBX
ABBXA
ABDZT
ABECU
ABFTV
ABHLI
ABHQN
ABIPD
ABJNI
ABJOX
ABKCH
ABKTR
ABLJU
ABMNI
ABMQK
ABNWP
ABPLI
ABQBU
ABQSL
ABSXP
ABTEG
ABTHY
ABTKH
ABTMW
ABULA
ABUWG
ABWNU
ABXPI
ACAOD
ACBXY
ACDTI
ACGFO
ACGFS
ACHSB
ACHVE
ACHXU
ACIHN
ACKNC
ACMDZ
ACMLO
ACOKC
ACOMO
ACPIV
ACPRK
ACREN
ACZOJ
ADBBV
ADHHG
ADHIR
ADINQ
ADJJI
ADKNI
ADKPE
ADOJX
ADRFC
ADTPH
ADURQ
ADYFF
ADYOE
ADYPR
ADZKW
AEAQA
AEBTG
AEFIE
AEFQL
AEGAL
AEGNC
AEJHL
AEJRE
AEKMD
AEMSY
AENEX
AEOHA
AEPYU
AESKC
AETLH
AEVLU
AEXYK
AFBBN
AFDYV
AFEXP
AFFNX
AFGCZ
AFKRA
AFLOW
AFQWF
AFRAH
AFWTZ
AFYQB
AFZKB
AGAYW
AGDGC
AGGDS
AGJBK
AGMZJ
AGQEE
AGQMX
AGRTI
AGWIL
AGWZB
AGYKE
AHAVH
AHBYD
AHIZS
AHKAY
AHMBA
AHSBF
AHYZX
AIAKS
AIGIU
AIIXL
AILAN
AITGF
AJBLW
AJRNO
AJZVZ
AKMHD
ALIPV
ALMA_UNASSIGNED_HOLDINGS
ALWAN
AMKLP
AMTXH
AMXSW
AMYLF
AMYQR
AOCGG
ARMRJ
ASPBG
AVWKF
AXYYD
AZFZN
B-.
BA0
BBWZM
BDATZ
BENPR
BGNMA
BKEYQ
BMSDO
BPHCQ
BSONS
BVXVI
CAG
CCPQU
COF
CS3
CSCUP
DDRTE
DL5
DNIVK
DPUIP
DU5
EBD
EBLON
EBS
ECT
EIHBH
EIOEI
EJD
EMB
EMOBN
EN4
EPAXT
ESBYG
EX3
F5P
FEDTE
FERAY
FFXSO
FIGPU
FINBP
FNLPD
FRRFC
FSGXE
FWDCC
FYUFA
G-Y
G-Z
GGCAI
GGRSB
GJIRD
GNWQR
GQ6
GQ7
GQ8
GXS
H13
HF~
HG5
HG6
HMCUK
HMJXF
HQYDN
HRMNR
HVGLF
HZ~
I09
IHE
IJ-
IKXTQ
IMOTQ
ITM
IWAJR
IXC
IZIGR
IZQ
I~X
I~Z
J-C
J0Z
JBSCW
JCJTX
JZLTJ
KDC
KOV
KOW
KPH
LAS
LLZTM
M1P
M4Y
MA-
MK0
N2Q
N9A
NAPCQ
NB0
NDZJH
NPVJJ
NQJWS
NU0
O9-
O93
O9G
O9I
O9J
OAM
P19
P2P
PF0
PQQKQ
PROAC
PSQYO
PT4
PT5
Q2X
QOK
QOR
QOS
R4E
R89
R9I
RHV
RIG
RNI
ROL
RPX
RRX
RSV
RZK
S16
S1Z
S26
S27
S28
S3A
S3B
SAP
SBL
SBY
SCLPG
SDH
SDM
SHX
SISQX
SJYHP
SNE
SNPRN
SNX
SOHCF
SOJ
SPISZ
SRMVM
SSLCW
SSXJD
STPWE
SV3
SZN
T13
T16
TSG
TSK
TSV
TUC
U2A
U9L
UG4
UKHRP
UOJIU
UTJUX
UZXMN
VC2
VFIZW
W23
W48
WJK
WK6
WK8
WOW
Y6R
YLTOR
Z45
Z7U
Z7V
Z7W
Z81
Z82
Z83
Z87
Z8O
Z8P
Z8Q
Z8U
Z8V
Z8W
Z91
ZGI
ZMTXR
ZOVNA
ZXP
~EX
~KM
AAPKM
AAYXX
ABBRH
ABDBE
ABFSG
ABRTQ
ACSTC
ADHKG
AEZWR
AFDZB
AFHIU
AFOHR
AGQPQ
AHPBZ
AHWEU
AIXLP
ATHPR
AYFIA
CITATION
PHGZM
PHGZT
PJZUB
PPXIY
PUEGO
CGR
CUY
CVF
ECM
EIF
NPM
7TK
7U9
7XB
8FK
H94
K9.
PKEHL
PQEST
PQUKI
PRINS
7X8
ADTOC
UNPAY
ID FETCH-LOGICAL-c415t-4963cf17ac0b773d1344a0bca0e34292d07a2468aceb7f19dd5ef6f0df79b2f23
IEDL.DBID U2A
ISSN 0031-6970
1432-1041
IngestDate Sun Oct 26 04:06:27 EDT 2025
Thu Sep 04 20:09:30 EDT 2025
Tue Oct 07 05:28:21 EDT 2025
Wed Feb 19 02:40:26 EST 2025
Thu Apr 24 23:08:37 EDT 2025
Wed Oct 01 02:24:56 EDT 2025
Fri Feb 21 02:34:18 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 8
Keywords Kidney disease
Population modelling
Metformin
Type 2 diabetes mellitus
Pharmacokinetics
Renal clearance
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c415t-4963cf17ac0b773d1344a0bca0e34292d07a2468aceb7f19dd5ef6f0df79b2f23
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ObjectType-Undefined-3
OpenAccessLink https://proxy.k.utb.cz/login?url=https://link.springer.com/content/pdf/10.1007/s00228-017-2251-1.pdf
PMID 28451709
PQID 1918291330
PQPubID 47171
PageCount 10
ParticipantIDs unpaywall_primary_10_1007_s00228_017_2251_1
proquest_miscellaneous_1893553855
proquest_journals_1918291330
pubmed_primary_28451709
crossref_citationtrail_10_1007_s00228_017_2251_1
crossref_primary_10_1007_s00228_017_2251_1
springer_journals_10_1007_s00228_017_2251_1
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 20170800
2017-8-00
2017-Aug
20170801
PublicationDateYYYYMMDD 2017-08-01
PublicationDate_xml – month: 8
  year: 2017
  text: 20170800
PublicationDecade 2010
PublicationPlace Berlin/Heidelberg
PublicationPlace_xml – name: Berlin/Heidelberg
– name: Germany
– name: Heidelberg
PublicationTitle European journal of clinical pharmacology
PublicationTitleAbbrev Eur J Clin Pharmacol
PublicationTitleAlternate Eur J Clin Pharmacol
PublicationYear 2017
Publisher Springer Berlin Heidelberg
Springer Nature B.V
Publisher_xml – name: Springer Berlin Heidelberg
– name: Springer Nature B.V
References Janmahasatian, Duffull, Ash, Ward, Byrne, Green (CR14) 2005; 44
Savic, Karlsson (CR20) 2009; 11
Janmahasatian, Duffull, Chagnac, Kirkpatrick, Green (CR16) 2008; 65
Duong, Kumar, Kirkpatrick, Greenup, Arora, Lee, Timmins, Graham, Furlong, Greenfield, Williams, Day (CR6) 2013; 52
Graham, Punt, Arora, Day, Doogue, Duong, Furlong, Greenfield, Greenup, Kirkpatrick, Ray, Timmins, Williams (CR7) 2011; 50
Karlsson, Beal, Sheiner (CR13) 1995; 23
CR19
CR17
Cockcroft, Gault (CR15) 1976; 16
Keizer, van Benten, Beijnen, Schellens, Huitema (CR10) 2011; 101
CR11
Duong, Roberts, Furlong, Kumar, Greenfield, Kirkpatrick, Graham, Williams, Day (CR4) 2012
Henderson (CR18) 2005; 359
Duong, Furlong, Roberts, Graham, Greenfield, Williams, Day (CR3) 2013
Lalau, Lemaire-Hurtel, Lacroix (CR5) 2011; 31
Tucker, Casey, Phillips, Connor, Ward, Woods (CR12) 1981; 12
Lindbom, Pihlgren, Jonsson (CR9) 2005; 79
Chen, Kok, Chien, Horng, Tsai (CR2) 2015; 11
Choi, Lee (CR22) 2006; 149
Pentikainen, Neuvonen, Penttila (CR21) 1979; 16
Timmins, Donahue, Meeker, Marathe (CR8) 2005; 44
Holman, Paul, Bethel, Matthews, Neil (CR1) 2008; 359
2251_CR19
P Timmins (2251_CR8) 2005; 44
L Lindbom (2251_CR9) 2005; 79
2251_CR17
AR Henderson (2251_CR18) 2005; 359
RR Holman (2251_CR1) 2008; 359
GT Tucker (2251_CR12) 1981; 12
RM Savic (2251_CR20) 2009; 11
JD Lalau (2251_CR5) 2011; 31
2251_CR11
S Janmahasatian (2251_CR14) 2005; 44
YC Chen (2251_CR2) 2015; 11
YH Choi (2251_CR22) 2006; 149
JK Duong (2251_CR6) 2013; 52
MO Karlsson (2251_CR13) 1995; 23
RJ Keizer (2251_CR10) 2011; 101
DW Cockcroft (2251_CR15) 1976; 16
GG Graham (2251_CR7) 2011; 50
JK Duong (2251_CR4) 2012
S Janmahasatian (2251_CR16) 2008; 65
PJ Pentikainen (2251_CR21) 1979; 16
JK Duong (2251_CR3) 2013
20627442 - Comput Methods Programs Biomed. 2011 Jan;101(1):72-9
1244564 - Nephron. 1976;16(1):31-41
7306436 - Br J Clin Pharmacol. 1981 Aug;12(2):235-46
18784090 - N Engl J Med. 2008 Oct 9;359(15):1577-89
8733951 - J Pharmacokinet Biopharm. 1995 Dec;23(6):651-72
23549904 - Drug Saf. 2013 Sep;36(9):733-46
16940989 - Br J Pharmacol. 2006 Oct;149(4):424-30
23475568 - Clin Pharmacokinet. 2013 May;52(5):373-84
18279477 - Br J Clin Pharmacol. 2008 Jun;65(6):964-5
16176118 - Clin Pharmacokinet. 2005;44(10):1051-65
26357479 - Ther Clin Risk Manag. 2015 Aug 28;11:1315-23
19649712 - AAPS J. 2009 Sep;11(3):558-69
15966755 - Clin Pharmacokinet. 2005;44(7):721-9
16023764 - Comput Methods Programs Biomed. 2005 Sep;79(3):241-57
499320 - Eur J Clin Pharmacol. 1979 Sep;16(3):195-202
21401215 - Clin Drug Investig. 2011;31(6):435-8
22564555 - Diabetes Obes Metab. 2012 Oct;14(10):963-5
21241070 - Clin Pharmacokinet. 2011 Feb;50(2):81-98
15936746 - Clin Chim Acta. 2005 Sep;359(1-2):1-26
References_xml – volume: 52
  start-page: 373
  issue: 5
  year: 2013
  end-page: 384
  ident: CR6
  article-title: Population pharmacokinetics of metformin in healthy subjects and patients with type 2 diabetes mellitus: simulation of doses according to renal function
  publication-title: Clin Pharmacokinet
  doi: 10.1007/s40262-013-0046-9
– volume: 359
  start-page: 1
  issue: 1–2
  year: 2005
  end-page: 26
  ident: CR18
  article-title: The bootstrap: a technique for data-driven statistics. Using computer-intensive analyses to explore experimental data
  publication-title: Clin Chim Acta
  doi: 10.1016/j.cccn.2005.04.002
– ident: CR19
– volume: 12
  start-page: 235
  issue: 2
  year: 1981
  end-page: 246
  ident: CR12
  article-title: Metformin kinetics in healthy subjects and in patients with diabetes mellitus
  publication-title: Br J Clin Pharmacol
  doi: 10.1111/j.1365-2125.1981.tb01206.x
– volume: 31
  start-page: 435
  issue: 6
  year: 2011
  end-page: 438
  ident: CR5
  article-title: Establishment of a database of metformin plasma concentrations and erythrocyte levels in normal and emergency situations
  publication-title: Clin Drug Investig
  doi: 10.2165/11588310-000000000-00000
– volume: 23
  start-page: 651
  issue: 6
  year: 1995
  end-page: 672
  ident: CR13
  article-title: Three new residual error models for population PK/PD analyses
  publication-title: J Pharmacokinet Biopharm
  doi: 10.1007/BF02353466
– volume: 16
  start-page: 31
  issue: 1
  year: 1976
  end-page: 41
  ident: CR15
  article-title: Prediction of creatinine clearance from serum creatinine
  publication-title: Nephron
  doi: 10.1159/000180580
– volume: 65
  start-page: 964
  issue: 6
  year: 2008
  end-page: 965
  ident: CR16
  article-title: Lean body mass normalizes the effect of obesity on renal function
  publication-title: Br J Clin Pharmacol
  doi: 10.1111/j.1365-2125.2008.03112.x
– volume: 16
  start-page: 195
  issue: 3
  year: 1979
  end-page: 202
  ident: CR21
  article-title: Pharmacokinetics of metformin after intravenous and oral administration to man
  publication-title: Eur J Clin Pharmacol
  doi: 10.1007/BF00562061
– volume: 44
  start-page: 1051
  issue: 10
  year: 2005
  end-page: 1065
  ident: CR14
  article-title: Quantification of lean bodyweight
  publication-title: Clin Pharmacokinet
  doi: 10.2165/00003088-200544100-00004
– ident: CR17
– volume: 11
  start-page: 558
  issue: 3
  year: 2009
  end-page: 569
  ident: CR20
  article-title: Importance of shrinkage in empirical Bayes estimates for diagnostics: problems and solutions
  publication-title: AAPS J
  doi: 10.1208/s12248-009-9133-0
– ident: CR11
– volume: 359
  start-page: 1577
  issue: 15
  year: 2008
  end-page: 1589
  ident: CR1
  article-title: 10-year follow-up of intensive glucose control in type 2 diabetes
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa0806470
– volume: 50
  start-page: 81
  issue: 2
  year: 2011
  end-page: 98
  ident: CR7
  article-title: Clinical pharmacokinetics of metformin
  publication-title: Clin Pharmacokinet
  doi: 10.2165/11534750-000000000-00000
– year: 2012
  ident: CR4
  article-title: Metformin therapy in patients with chronic kidney disease
  publication-title: Diabetes Obes Metab
– volume: 44
  start-page: 721
  issue: 7
  year: 2005
  end-page: 729
  ident: CR8
  article-title: Steady-state pharmacokinetics of a novel extended-release metformin formulation
  publication-title: Clin Pharmacokinet
  doi: 10.2165/00003088-200544070-00004
– year: 2013
  ident: CR3
  article-title: The role of metformin in metformin-associated lactic acidosis (MALA): case series and formulation of a model of pathogenesis
  publication-title: Drug Saf
– volume: 101
  start-page: 72
  issue: 1
  year: 2011
  end-page: 79
  ident: CR10
  article-title: Pirana and PCluster: a modeling environment and cluster infrastructure for NONMEM
  publication-title: Comput Methods Prog Biomed
  doi: 10.1016/j.cmpb.2010.04.018
– volume: 79
  start-page: 241
  issue: 3
  year: 2005
  end-page: 257
  ident: CR9
  article-title: PsN-toolkit—a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM
  publication-title: Comput Methods Prog Biomed
  doi: 10.1016/j.cmpb.2005.04.005
– volume: 149
  start-page: 424
  issue: 4
  year: 2006
  end-page: 430
  ident: CR22
  article-title: Effects of enzyme inducers and inhibitors on the pharmacokinetics of metformin in rats: involvement of CYP2C11, 2D1 and 3A1/2 for the metabolism of metformin
  publication-title: Br J Pharmacol
  doi: 10.1038/sj.bjp.0706875
– volume: 11
  start-page: 1315
  year: 2015
  end-page: 1323
  ident: CR2
  article-title: Cancer risk in patients aged 30 years and above with type 2 diabetes receiving antidiabetic monotherapy: a cohort study using metformin as the comparator
  publication-title: Ther Clin Risk Manag
– ident: 2251_CR19
– volume: 44
  start-page: 721
  issue: 7
  year: 2005
  ident: 2251_CR8
  publication-title: Clin Pharmacokinet
  doi: 10.2165/00003088-200544070-00004
– ident: 2251_CR17
– volume: 101
  start-page: 72
  issue: 1
  year: 2011
  ident: 2251_CR10
  publication-title: Comput Methods Prog Biomed
  doi: 10.1016/j.cmpb.2010.04.018
– volume: 359
  start-page: 1
  issue: 1–2
  year: 2005
  ident: 2251_CR18
  publication-title: Clin Chim Acta
  doi: 10.1016/j.cccn.2005.04.002
– volume: 12
  start-page: 235
  issue: 2
  year: 1981
  ident: 2251_CR12
  publication-title: Br J Clin Pharmacol
  doi: 10.1111/j.1365-2125.1981.tb01206.x
– volume: 50
  start-page: 81
  issue: 2
  year: 2011
  ident: 2251_CR7
  publication-title: Clin Pharmacokinet
  doi: 10.2165/11534750-000000000-00000
– volume: 11
  start-page: 1315
  year: 2015
  ident: 2251_CR2
  publication-title: Ther Clin Risk Manag
  doi: 10.2147/TCRM.S91513
– year: 2012
  ident: 2251_CR4
  publication-title: Diabetes Obes Metab
  doi: 10.1111/j.1463-1326.2012.01617.x
– volume: 11
  start-page: 558
  issue: 3
  year: 2009
  ident: 2251_CR20
  publication-title: AAPS J
  doi: 10.1208/s12248-009-9133-0
– volume: 16
  start-page: 195
  issue: 3
  year: 1979
  ident: 2251_CR21
  publication-title: Eur J Clin Pharmacol
  doi: 10.1007/BF00562061
– volume: 359
  start-page: 1577
  issue: 15
  year: 2008
  ident: 2251_CR1
  publication-title: N Engl J Med
  doi: 10.1056/NEJMoa0806470
– volume: 23
  start-page: 651
  issue: 6
  year: 1995
  ident: 2251_CR13
  publication-title: J Pharmacokinet Biopharm
  doi: 10.1007/BF02353466
– volume: 44
  start-page: 1051
  issue: 10
  year: 2005
  ident: 2251_CR14
  publication-title: Clin Pharmacokinet
  doi: 10.2165/00003088-200544100-00004
– ident: 2251_CR11
– volume: 31
  start-page: 435
  issue: 6
  year: 2011
  ident: 2251_CR5
  publication-title: Clin Drug Investig
  doi: 10.2165/11588310-000000000-00000
– volume: 65
  start-page: 964
  issue: 6
  year: 2008
  ident: 2251_CR16
  publication-title: Br J Clin Pharmacol
  doi: 10.1111/j.1365-2125.2008.03112.x
– year: 2013
  ident: 2251_CR3
  publication-title: Drug Saf
  doi: 10.1007/s40264-013-0038-6
– volume: 149
  start-page: 424
  issue: 4
  year: 2006
  ident: 2251_CR22
  publication-title: Br J Pharmacol
  doi: 10.1038/sj.bjp.0706875
– volume: 52
  start-page: 373
  issue: 5
  year: 2013
  ident: 2251_CR6
  publication-title: Clin Pharmacokinet
  doi: 10.1007/s40262-013-0046-9
– volume: 79
  start-page: 241
  issue: 3
  year: 2005
  ident: 2251_CR9
  publication-title: Comput Methods Prog Biomed
  doi: 10.1016/j.cmpb.2005.04.005
– volume: 16
  start-page: 31
  issue: 1
  year: 1976
  ident: 2251_CR15
  publication-title: Nephron
  doi: 10.1159/000180580
– reference: 19649712 - AAPS J. 2009 Sep;11(3):558-69
– reference: 16940989 - Br J Pharmacol. 2006 Oct;149(4):424-30
– reference: 20627442 - Comput Methods Programs Biomed. 2011 Jan;101(1):72-9
– reference: 15936746 - Clin Chim Acta. 2005 Sep;359(1-2):1-26
– reference: 16176118 - Clin Pharmacokinet. 2005;44(10):1051-65
– reference: 8733951 - J Pharmacokinet Biopharm. 1995 Dec;23(6):651-72
– reference: 15966755 - Clin Pharmacokinet. 2005;44(7):721-9
– reference: 499320 - Eur J Clin Pharmacol. 1979 Sep;16(3):195-202
– reference: 23475568 - Clin Pharmacokinet. 2013 May;52(5):373-84
– reference: 18784090 - N Engl J Med. 2008 Oct 9;359(15):1577-89
– reference: 22564555 - Diabetes Obes Metab. 2012 Oct;14(10):963-5
– reference: 21401215 - Clin Drug Investig. 2011;31(6):435-8
– reference: 16023764 - Comput Methods Programs Biomed. 2005 Sep;79(3):241-57
– reference: 1244564 - Nephron. 1976;16(1):31-41
– reference: 7306436 - Br J Clin Pharmacol. 1981 Aug;12(2):235-46
– reference: 21241070 - Clin Pharmacokinet. 2011 Feb;50(2):81-98
– reference: 18279477 - Br J Clin Pharmacol. 2008 Jun;65(6):964-5
– reference: 23549904 - Drug Saf. 2013 Sep;36(9):733-46
– reference: 26357479 - Ther Clin Risk Manag. 2015 Aug 28;11:1315-23
SSID ssj0015903
Score 2.2843134
Snippet Purpose The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CL R ), and apparent non-renal clearance of...
The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CL ), and apparent non-renal clearance of metformin...
Purpose The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CLR), and apparent non-renal clearance of...
The aims of this study were to investigate the relationship between metformin exposure, renal clearance (CLR), and apparent non-renal clearance of metformin...
SourceID unpaywall
proquest
pubmed
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 981
SubjectTerms Adult
Aged
Aged, 80 and over
Algorithms
Antidiabetics
Biomedical and Life Sciences
Biomedicine
Creatinine
Diabetes
Diabetes Mellitus, Type 2 - drug therapy
Diabetes Mellitus, Type 2 - metabolism
Diabetes Mellitus, Type 2 - physiopathology
Dose-Response Relationship, Drug
Drug dosages
Female
Humans
Hypoglycemic Agents - administration & dosage
Hypoglycemic Agents - blood
Hypoglycemic Agents - pharmacokinetics
Hypoglycemic Agents - urine
Kidney - metabolism
Kidney - physiopathology
Kidney Diseases - drug therapy
Kidney Diseases - metabolism
Kidney Diseases - physiopathology
Kidneys
Male
Metabolism
Metformin
Metformin - administration & dosage
Metformin - blood
Metformin - pharmacokinetics
Metformin - urine
Middle Aged
Models, Biological
Pharmacokinetics and Disposition
Pharmacology/Toxicology
Prescription drugs
Renal function
Therapeutic drug monitoring
Urine
SummonAdditionalLinks – databaseName: ProQuest Central (subscription)
  dbid: BENPR
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV1Nb9QwELXK9gAcEN8EChok1ANthJM4cXJAqKBWFRKrFWql3iLHH3TFNgmbXWB_Dv-UmWySXYQoUm5xEkfz7Hmesd8w9spwK3SklY--WPtCJZGvkNj76Im4E0liZRsa-DROTs_Fx4v4YoeN-7MwtK2ynxPbidpUmmLkb3BdkYYZrqj4u_qbT1WjKLval9BQXWkF87aVGLvBdkNSxhqx3ffH48nnIa8QZ7yT4Q38JJNDnpO3sqIhqTXjrI0YD_zgT0_1F_3cSp3eZjeXZa1WP9RstuWdTu6yOx2thKM1Du6xHVveZ_uTtS716hDONsesmkPYh8lGsXr1gP06AlNR0ADU7Av-9OLyCpDMwpVdEKedlkDOzkBVAvJFmPcb6C6ndQPdTi-wP-uKwo2gSoNNqDuaalIQrKByWy_Dq5NzbYDiwPBdzem0FRiLq3_bUOuvU1PaFZDbpU89ZOcnx2cfTv2udoOvkRIsfIEDW7tAKs0LKSMTREIoXmjFbUQVsgyXKhRJqrQtpAsyY2LrEseNk1kRujB6xEZlVdonDEKnQgQUndg1Ik51IXVspYsSqbhwNvIY7-2U607YnOprzPJBkrk1bY6mzcm0eeCx18Mj9VrV47rGe73x826AN_kGjh57OdzGoUn5FlXaaoltUhKvj9I49tjjNWiGryEriAPJM48d9Cjaevm_u3IwAO3_HX96fcefsVshob3dzbjHRov50j5HhrUoXnTD5jeJqCMt
  priority: 102
  providerName: ProQuest
– databaseName: Unpaywall
  dbid: UNPAY
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1La9wwEBbp5lB66PvhkpYplByaOJEt2do9LqEhFBr2kIX0ZGQ9kiUb2ay9bbf_pv-0o_Uj2zel4JvHsoQ-z3yWNN8Q8lpTwxVTMsRYrEIuUxZKJPYhRiJqeZoasV4aeH-ankz5u_PkfIscdbkw69Pu3ZZkk9PgVZpcfVhqe9gnvq1lW0LvYRGPUYjuRttbZDtNkJAPyPb0dDL-0AgyRmE6WpeMw87E6HR41O1t_qqd76PTT5RzY7v0Drm9dKVcfZLz-UZEOr5HdDeW5iDK1cGyzg_Ulx9kHv9zsPfJ3ZaxwriB2AOyZdxDsjtpJK9X-3B2k8FV7cMuTG7EsFePyNcx6MKvR4CcXxSLWX15DciT4drUni7PHPg4qqFwgFQUFt3ZvMtZWUF7iAzM57LwK5kgnUYT3x3ly114xEJhNxrDq1WKrcAvMcNHufCJXKDNxcKYyltfzbQzK_AR3b_qMZkevz07OgnbshChQrZRhxx9hrKRkIrmQjAdMc4lzZWkhvniW5oKGfN0KJXJhY1GWifGppZqK0Z5bGP2hAxc4cwzArGVMWLVJwNrngxVLlRihGWpkJRbwwJCOzhkqtVM96U75lmv9ryenAwnJ_OTk0UBedM_UjaCIX8y3ukwlrW-o8rwD3oYjyLGaEBe9bfxq_dbOdKZYok2Q6-Lz4ZJEpCnDTb7tyHhSCJBRwHZ67C10fjvu7LX4_nvHX_-T9Y7ZFAvluYF0rc6f9l-nt8APM8_LA
  priority: 102
  providerName: Unpaywall
Title A dosing algorithm for metformin based on the relationships between exposure and renal clearance of metformin in patients with varying degrees of kidney function
URI https://link.springer.com/article/10.1007/s00228-017-2251-1
https://www.ncbi.nlm.nih.gov/pubmed/28451709
https://www.proquest.com/docview/1918291330
https://www.proquest.com/docview/1893553855
https://link.springer.com/content/pdf/10.1007/s00228-017-2251-1.pdf
UnpaywallVersion publishedVersion
Volume 73
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVLSH
  databaseName: SpringerLink Journals
  customDbUrl:
  mediaType: online
  eissn: 1432-1041
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0015903
  issn: 1432-1041
  databaseCode: AFBBN
  dateStart: 19970101
  isFulltext: true
  providerName: Library Specific Holdings
– providerCode: PRVPQU
  databaseName: Health & Medical Collection
  customDbUrl:
  eissn: 1432-1041
  dateEnd: 20241103
  omitProxy: true
  ssIdentifier: ssj0015903
  issn: 1432-1041
  databaseCode: 7X7
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/healthcomplete
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Proquest Central
  customDbUrl: http://www.proquest.com/pqcentral?accountid=15518
  eissn: 1432-1041
  dateEnd: 20241103
  omitProxy: true
  ssIdentifier: ssj0015903
  issn: 1432-1041
  databaseCode: BENPR
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVAVX
  databaseName: SpringerLINK - Czech Republic Consortium
  customDbUrl:
  eissn: 1432-1041
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0015903
  issn: 1432-1041
  databaseCode: AGYKE
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: http://link.springer.com
  providerName: Springer Nature
– providerCode: PRVAVX
  databaseName: SpringerLink Journals (ICM)
  customDbUrl:
  eissn: 1432-1041
  dateEnd: 99991231
  omitProxy: true
  ssIdentifier: ssj0015903
  issn: 1432-1041
  databaseCode: U2A
  dateStart: 19970101
  isFulltext: true
  titleUrlDefault: http://www.springerlink.com/journals/
  providerName: Springer Nature
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3di9NAEF_07kF9EL-NnmUEuQfvApvPTR6r9DwUS5Er9J7CZj_uir2kNKnaP8f_1Jk0yVX8QgiEkMnuwszmN7uz8xvGXmluQhUo6SIWKzeUceBKdOxdRCJuwzg2otka-DiOT6fh-1k0a_O4q-60exeSbP7UfbJbQ9Xi0l8VbdBzccmzHxGbFxrx1B_2oYMo5S3TrufGqehDmb9r4mcw-sXD3ImO3mG31sVSbr7KxWIHgE7usbut5wjDrarvsxumeMAOJ1vq6c0xnF1nUlXHcAiTa1LqzUP2fQi6pH0BkIuLcjWvL68A_VW4MjW5rfMCCM80lAWgSwir7ozc5XxZQXuYC8y3ZUk7iiALjSI0HEVlJ8hyoLQ7jeHVMrZWQFu98EWuKKEKtMEFvqlI-vNcF2YDhKzU1SM2PRmdvT112_IMrkLUr90Q566ynpCK50IE2gvCUPJcSW4CKoKluZB-GCdSmVxYL9U6Mja2XFuR5r71g8dsrygL85SBb6WPNkNJuTqMEpULFRlhg1hIHloTOIx3espUy11OJTQWWc-63Kg2Q9VmpNrMc9jr_pPllrjjb8IHnfKzdg5XGa5kEz_FNTx32Mv-Nc4-CqnIwpRrlEmInz5IoshhT7ZG0_eGwB95gqcOO-qsaKfxPw_lqDe0fw_82X-1_Zzd9sn4m_OLB2yvXq3NC_Sp6nzAboqZGLD94bvzDyO8vxmNJ58GzczCp-l4Mjz_AVENHuI
linkProvider Springer Nature
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Nb9NAEF1V7aFwQHwTKDBI0AOtxdpee-NDhQq0SmkbRSiVenPXu-s2IrVDnFDyc_gj_DZmHNsJQpRTpdyysVeZt_tmZ3beMPbacCu0r5WDXKwdoULfUejYO8hEPBVhaGUZGjjuhp0T8fk0OF1hv-paGLpWWe-J5UZtck0x8nd4rmh7EZ6o-PvRN4e6RlF2tW6hoarWCmanlBirCjsO7ewKj3DFzsEntPcbz9vf63_sOFWXAUcjeU0cgRDUqSuV5omUvnF9IRRPtOLWp15OhkvlibCttE1k6kbGBDYNU25SGSVeSsIHSAFrwhcRHv7WPux1e1-aPEYQ8Ur213XCSDZ5VV7KmHqkDo0sgWvKddw_mfEvd3cpVXubrU-zkZpdqeFwiQ3377I7lRsLu3Pc3WMrNrvPNntzHezZNvQXZV3FNmxCb6GQPXvAfu6CySlIAWp4jn_y5OIS0HmGSzshH3qQAZGrgTwD9E9hXF_YuxiMCqhuloH9McopvAkqMziEpqOpBwbBGPJ06WH4qeRjC6C4M3xXY6ruAmPPx9YWNPrrwGR2BkTz9KqH7ORGrPiIrWZ5Zp8w8FLlIYCpQtiIoK0TqQMrUz-UiovU-i3GazvFuhJSp34ew7iRgC5NG6NpYzJt7LbY2-Yno7mKyHWDN2rjx9WGUsQL-LfYq-Zr3Aoov6Mym09xTJvE8v12ELTY4zlomrehFxK4kkcttlWjaOnh_57KVgO0_0_86fUTf8nWO_3jo_jooHv4jN3yCPnlTcoNtjoZT-1z9O4myYtqCQE7u-lV-xu4LGDx
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF5VReJxQLwxFBgk6IHW6vq58QGhihK1FKocWik3s95HG5HaIU4o-Tn8DX4dM34lCFFOlXLLxl5lvp35dnb2G8ZeaW5CFSjpYixWbijjwJVI7F2MRNyGcWxElRr4fBTvn4Qfh9Fwjf1q78JQWWXrEytHrQtFOfId3Ff0_AR3VHzHNmURg73-u8k3lzpI0Ulr206jhsihWVzg9q18e7CHtn7t-_0Px-_33abDgKswcM3cEOGnrCek4pkQgfaCMJQ8U5KbgPo4aS6kH8Y9qUwmrJdoHRkbW66tSDLfkugBuv9rIggSKicUw26zhyyBN4K_nhsnojtR5ZWAqU-60BgfcDV5rvdnTPyL6K4c0t5iN-b5RC4u5Hi8Egf7d9jthsDCbo24u2zN5PfY5qBWwF5sw_HyQle5DZswWGpjL-6zn7ugC0pPgByf4l86OzsHpM1wbmbEnkc5UFjVUOSAzBSmbane2WhSQlNTBubHpKDEJshc4xCajqLuFwRgKOzKw_DTCMeWQBln-C6ndK8LtDmdGlPS6K8jnZsFUICnVz1gJ1diw4dsPS9y85iBb6WP0KW7wTqMeioTKjLCBrGQPLQmcBhv7ZSqRkKdOnmM0078uTJtiqZNybSp57A33U8mtX7IZYM3WuOnjSsp0yXwHfay-xqdAJ3syNwUcxzTI5n8oBdFDntUg6Z7G_KPyBM8cdhWi6KVh_97Klsd0P4_8SeXT_wFu45rNf10cHT4lN30CfhVCeUGW59N5-YZ0rpZ9rxaP8C-XPWC_Q0NV16L
linkToUnpaywall http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1La9wwEBbp5lB66PvhkpYplByaOJEt2do9LqEhFBr2kIX0ZGQ9kiUb2ay9bbf_pv-0o_Uj2zel4JvHsoQ-z3yWNN8Q8lpTwxVTMsRYrEIuUxZKJPYhRiJqeZoasV4aeH-ankz5u_PkfIscdbkw69Pu3ZZkk9PgVZpcfVhqe9gnvq1lW0LvYRGPUYjuRttbZDtNkJAPyPb0dDL-0AgyRmE6WpeMw87E6HR41O1t_qqd76PTT5RzY7v0Drm9dKVcfZLz-UZEOr5HdDeW5iDK1cGyzg_Ulx9kHv9zsPfJ3ZaxwriB2AOyZdxDsjtpJK9X-3B2k8FV7cMuTG7EsFePyNcx6MKvR4CcXxSLWX15DciT4drUni7PHPg4qqFwgFQUFt3ZvMtZWUF7iAzM57LwK5kgnUYT3x3ly114xEJhNxrDq1WKrcAvMcNHufCJXKDNxcKYyltfzbQzK_AR3b_qMZkevz07OgnbshChQrZRhxx9hrKRkIrmQjAdMc4lzZWkhvniW5oKGfN0KJXJhY1GWifGppZqK0Z5bGP2hAxc4cwzArGVMWLVJwNrngxVLlRihGWpkJRbwwJCOzhkqtVM96U75lmv9ryenAwnJ_OTk0UBedM_UjaCIX8y3ukwlrW-o8rwD3oYjyLGaEBe9bfxq_dbOdKZYok2Q6-Lz4ZJEpCnDTb7tyHhSCJBRwHZ67C10fjvu7LX4_nvHX_-T9Y7ZFAvluYF0rc6f9l-nt8APM8_LA
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=A+dosing+algorithm+for+metformin+based+on+the+relationships+between+exposure+and+renal+clearance+of+metformin+in+patients+with+varying+degrees+of+kidney+function&rft.jtitle=European+journal+of+clinical+pharmacology&rft.au=Duong%2C+Janna+K&rft.au=Kroonen%2C+M+Y+A+M&rft.au=Kumar%2C+S+S&rft.au=Heerspink%2C+H+L&rft.date=2017-08-01&rft.eissn=1432-1041&rft.volume=73&rft.issue=8&rft.spage=981&rft_id=info:doi/10.1007%2Fs00228-017-2251-1&rft_id=info%3Apmid%2F28451709&rft.externalDocID=28451709
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0031-6970&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0031-6970&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0031-6970&client=summon