Pretransplant MELD score and post liver transplantation survival in the UK and Ireland

It has been shown that the model for end‐stage liver disease (MELD) score is an accurate predictor of survival in patients with liver disease without transplantation. Four recent studies carried out in the United States have demonstrated that the MELD score obtained immediately prior to transplantat...

Full description

Saved in:
Bibliographic Details
Published inLiver transplantation Vol. 10; no. 7; pp. 903 - 907
Main Authors Jacob, Mathew, Copley, Lynn P., Lewsey, James D., Gimson, Alex, Toogood, Giles J., Rela, Mohamed, van der Meulen, Jan H. P.
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.07.2004
Subjects
Online AccessGet full text

Cover

Loading…
Abstract It has been shown that the model for end‐stage liver disease (MELD) score is an accurate predictor of survival in patients with liver disease without transplantation. Four recent studies carried out in the United States have demonstrated that the MELD score obtained immediately prior to transplantation is also associated with post‐transplant patient survival. Our aim was to evaluate how accurately the MELD score predicts 90‐day post‐transplant survival in adult patients with chronic liver disease in the UK and Ireland. The UK and Ireland Liver Transplant Audit has data on all liver transplants since 1994. We studied survival of 3838 adult patients after first elective liver transplantation according to United Network for Organ Sharing categories of their MELD scores (≤ 10, 11–18, 19–24, 25–35, ≥36). The overall survival at 90‐days was 90.2%. The 90‐day survival varied according to the United Network for Organ Sharing MELD categories (92.6%, 91.9%, 89.7%, 89.7%, and 70.8%, respectively; P < 0.01). Therefore, only those patients with a MELD score of 36 or higher (3% of the patients) had a survival that was markedly lower than the rest. As a consequence, the ability of the MELD score to discriminate between patients who were dead or alive was poor (c‐statistic 0.58). Re‐estimating the coefficients in the MELD regression model, even allowing for nonlinear relationships, did not improve its discriminatory ability. In conclusion, in the UK and Ireland the MELD score is significantly associated with post‐transplant survival, but its predictive ability is poor. These results are in agreement with results found in the United States. Therefore, the most appropriate system to support patient selection for transplantation will be one that combines a pretransplant survival model (e.g., MELD score) with a properly developed post‐transplant survival model. (Liver Transpl 2004;10:903–907.)
AbstractList It has been shown that the model for end-stage liver disease (MELD) score is an accurate predictor of survival in patients with liver disease without transplantation. Four recent studies carried out in the United States have demonstrated that the MELD score obtained immediately prior to transplantation is also associated with post-transplant patient survival. Our aim was to evaluate how accurately the MELD score predicts 90-day post-transplant survival in adult patients with chronic liver disease in the UK and Ireland. The UK and Ireland Liver Transplant Audit has data on all liver transplants since 1994. We studied survival of 3838 adult patients after first elective liver transplantation according to United Network for Organ Sharing categories of their MELD scores (< or = 10, 11-18, 19-24, 25-35, > or =36). The overall survival at 90-days was 90.2%. The 90-day survival varied according to the United Network for Organ Sharing MELD categories (92.6%, 91.9%, 89.7%, 89.7%, and 70.8%, respectively; P < 0.01). Therefore, only those patients with a MELD score of 36 or higher (3% of the patients) had a survival that was markedly lower than the rest. As a consequence, the ability of the MELD score to discriminate between patients who were dead or alive was poor (c-statistic 0.58). Re-estimating the coefficients in the MELD regression model, even allowing for nonlinear relationships, did not improve its discriminatory ability. In conclusion, in the UK and Ireland the MELD score is significantly associated with post-transplant survival, but its predictive ability is poor. These results are in agreement with results found in the United States. Therefore, the most appropriate system to support patient selection for transplantation will be one that combines a pretransplant survival model (e.g., MELD score) with a properly developed post-transplant survival model.
It has been shown that the model for end‐stage liver disease (MELD) score is an accurate predictor of survival in patients with liver disease without transplantation. Four recent studies carried out in the United States have demonstrated that the MELD score obtained immediately prior to transplantation is also associated with post‐transplant patient survival. Our aim was to evaluate how accurately the MELD score predicts 90‐day post‐transplant survival in adult patients with chronic liver disease in the UK and Ireland. The UK and Ireland Liver Transplant Audit has data on all liver transplants since 1994. We studied survival of 3838 adult patients after first elective liver transplantation according to United Network for Organ Sharing categories of their MELD scores (≤ 10, 11–18, 19–24, 25–35, ≥36). The overall survival at 90‐days was 90.2%. The 90‐day survival varied according to the United Network for Organ Sharing MELD categories (92.6%, 91.9%, 89.7%, 89.7%, and 70.8%, respectively; P < 0.01). Therefore, only those patients with a MELD score of 36 or higher (3% of the patients) had a survival that was markedly lower than the rest. As a consequence, the ability of the MELD score to discriminate between patients who were dead or alive was poor (c‐statistic 0.58). Re‐estimating the coefficients in the MELD regression model, even allowing for nonlinear relationships, did not improve its discriminatory ability. In conclusion, in the UK and Ireland the MELD score is significantly associated with post‐transplant survival, but its predictive ability is poor. These results are in agreement with results found in the United States. Therefore, the most appropriate system to support patient selection for transplantation will be one that combines a pretransplant survival model (e.g., MELD score) with a properly developed post‐transplant survival model. (Liver Transpl 2004;10:903–907.)
It has been shown that the model for end-stage liver disease (MELD) score is an accurate predictor of survival in patients with liver disease without transplantation. Four recent studies carried out in the United States have demonstrated that the MELD score obtained immediately prior to transplantation is also associated with post-transplant patient survival. Our aim was to evaluate how accurately the MELD score predicts 90-day post-transplant survival in adult patients with chronic liver disease in the UK and Ireland. The UK and Ireland Liver Transplant Audit has data on all liver transplants since 1994. We studied survival of 3838 adult patients after first elective liver transplantation according to United Network for Organ Sharing categories of their MELD scores (&lt; or = 10, 11-18, 19-24, 25-35, &gt; or =36). The overall survival at 90-days was 90.2%. The 90-day survival varied according to the United Network for Organ Sharing MELD categories (92.6%, 91.9%, 89.7%, 89.7%, and 70.8%, respectively; P &lt; 0.01). Therefore, only those patients with a MELD score of 36 or higher (3% of the patients) had a survival that was markedly lower than the rest. As a consequence, the ability of the MELD score to discriminate between patients who were dead or alive was poor (c-statistic 0.58). Re-estimating the coefficients in the MELD regression model, even allowing for nonlinear relationships, did not improve its discriminatory ability. In conclusion, in the UK and Ireland the MELD score is significantly associated with post-transplant survival, but its predictive ability is poor. These results are in agreement with results found in the United States. Therefore, the most appropriate system to support patient selection for transplantation will be one that combines a pretransplant survival model (e.g., MELD score) with a properly developed post-transplant survival model.
Author van der Meulen, Jan H. P.
Rela, Mohamed
Lewsey, James D.
Jacob, Mathew
Gimson, Alex
Toogood, Giles J.
Copley, Lynn P.
Author_xml – sequence: 1
  givenname: Mathew
  surname: Jacob
  fullname: Jacob, Mathew
  email: mjacob@rcseng.ac.uk
– sequence: 2
  givenname: Lynn P.
  surname: Copley
  fullname: Copley, Lynn P.
– sequence: 3
  givenname: James D.
  surname: Lewsey
  fullname: Lewsey, James D.
– sequence: 4
  givenname: Alex
  surname: Gimson
  fullname: Gimson, Alex
– sequence: 5
  givenname: Giles J.
  surname: Toogood
  fullname: Toogood, Giles J.
– sequence: 6
  givenname: Mohamed
  surname: Rela
  fullname: Rela, Mohamed
– sequence: 7
  givenname: Jan H. P.
  surname: van der Meulen
  fullname: van der Meulen, Jan H. P.
BackLink https://www.ncbi.nlm.nih.gov/pubmed/15237375$$D View this record in MEDLINE/PubMed
BookMark eNp10F1LwzAUBuAgE_eh4C-QXIk3nflokvVS5tRhRS82b0PanmKla2uSTvbvretwV17lQJ7zcnjHaFDVFSB0ScmUEsJuSz9lhMroBI2oYCqQoeKDv1mKIRo790kIpSIiZ2jYfXDFlRih9zcL3prKNaWpPH5ZxPfYpbUFbKoMN7XzuCy2YPERGV_UFXat3RZbU-Kiwv4D8Pp5v7G00JnsHJ3mpnRwcXgnaP2wWM2fgvj1cTm_i4OUCxoFECmWSMloSCSluZjlzOQioYwTlXDOQsgTM1MmSakJhRA8D3OmMgGJJDQLgU_QdZ_b2PqrBef1pnAplN0NULdOSymVCCPewZseprZ2zkKuG1tsjN1pSvRvh7r0et9hR68OmW2ygewID6V1IOjBd1HC7t8gHa_6wB8T5Xty
CitedBy_id crossref_primary_10_1080_00365521_2016_1196497
crossref_primary_10_1016_j_medin_2018_03_008
crossref_primary_10_1097_MD_0000000000002320
crossref_primary_10_1016_j_transproceed_2011_02_024
crossref_primary_10_1136_bmjopen_2013_003287
crossref_primary_10_1002_lt_20456
crossref_primary_10_1111_ctr_12499
crossref_primary_10_1002_lt_24654
crossref_primary_10_1007_s40472_018_0197_6
crossref_primary_10_1016_j_jhep_2018_08_006
crossref_primary_10_1016_j_transproceed_2023_03_011
crossref_primary_10_1007_s00535_006_1887_x
crossref_primary_10_1002_lt_21703
crossref_primary_10_1007_s12072_012_9393_0
crossref_primary_10_1111_hpb_12485
crossref_primary_10_1016_j_jhep_2010_11_008
crossref_primary_10_1016_j_orhc_2017_08_005
crossref_primary_10_1002_lt_20686
crossref_primary_10_6061_clinics_2015_06_05
crossref_primary_10_1002_lt_20166
crossref_primary_10_1002_jcsm_13334
crossref_primary_10_1002_lt_20721
crossref_primary_10_1080_08941939_2017_1339152
crossref_primary_10_1002_lt_22228
crossref_primary_10_6002_ect_2020_0513
crossref_primary_10_1111_ajt_14198
crossref_primary_10_1097_01_mog_0000218964_70935_3c
crossref_primary_10_1097_TP_0b013e3181aed8e4
crossref_primary_10_1002_hep_24635
crossref_primary_10_1111_myc_12041
crossref_primary_10_1186_s12893_020_00965_8
crossref_primary_10_1016_j_dld_2012_09_022
crossref_primary_10_1111_j_1432_2277_2006_00441_x
crossref_primary_10_1016_j_transproceed_2016_11_014
crossref_primary_10_1016_j_jhep_2004_11_015
crossref_primary_10_1097_00029330_200711020_00005
crossref_primary_10_1111_ctr_12908
crossref_primary_10_1080_00365520801932944
crossref_primary_10_1053_j_gastro_2015_07_067
crossref_primary_10_5402_2013_102590
crossref_primary_10_1016_j_jpge_2015_02_001
crossref_primary_10_4254_wjh_v8_i22_942
crossref_primary_10_1002_lt_21234
crossref_primary_10_1016_j_jhep_2017_06_009
crossref_primary_10_1002_lt_20703
crossref_primary_10_1002_lt_20824
crossref_primary_10_1097_01_TP_0000163292_03640_5C
crossref_primary_10_1002_lt_20700
crossref_primary_10_1016_j_jhep_2005_02_002
crossref_primary_10_3748_wjg_14_1280
crossref_primary_10_1186_s13098_018_0334_5
crossref_primary_10_1177_17562872221135944
crossref_primary_10_3748_wjg_v22_i26_5936
crossref_primary_10_1111_liv_13132
crossref_primary_10_1111_j_1600_6143_2006_01354_x
crossref_primary_10_1111_j_1432_2277_2009_00915_x
crossref_primary_10_1016_j_medine_2019_04_004
crossref_primary_10_1038_nrgastro_2010_169
crossref_primary_10_1097_TP_0b013e3181a4430b
crossref_primary_10_1007_s00268_017_4259_1
crossref_primary_10_1097_TP_0000000000003567
crossref_primary_10_1097_TP_0b013e3182751ed2
crossref_primary_10_1007_s11605_019_04380_0
crossref_primary_10_1097_TP_0000000000003722
crossref_primary_10_1111_liv_14756
crossref_primary_10_3109_00365521_2015_1028992
crossref_primary_10_1590_0100_6991e_20192392
crossref_primary_10_1002_lt_22027
crossref_primary_10_1186_1471_2253_14_103
crossref_primary_10_1002_lt_21731
crossref_primary_10_3748_wjg_v11_i18_2841
crossref_primary_10_1016_S0140_6736_06_68033_1
crossref_primary_10_1097_MOG_0b013e3280f9df41
crossref_primary_10_1016_S1499_3872_11_60041_6
crossref_primary_10_1111_j_1478_3231_2007_01494_x
crossref_primary_10_1111_j_1399_0012_2010_01366_x
crossref_primary_10_1002_lt_22426
crossref_primary_10_1111_j_1432_2277_2006_00377_x
crossref_primary_10_6061_clinics_2013_02_OA06
crossref_primary_10_1111_j_1432_2277_2006_00281_x
crossref_primary_10_1016_j_jhep_2017_07_017
crossref_primary_10_1016_j_anclin_2013_09_002
crossref_primary_10_1097_TP_0000000000000065
crossref_primary_10_1016_j_transproceed_2011_08_110
crossref_primary_10_1002_lt_21606
crossref_primary_10_1002_lt_21969
crossref_primary_10_1287_opre_1120_1064
crossref_primary_10_1016_j_transproceed_2005_05_007
crossref_primary_10_1016_j_transproceed_2020_01_020
crossref_primary_10_1111_j_1399_0012_2008_00943_x
crossref_primary_10_1111_j_1432_2277_2008_00812_x
crossref_primary_10_1007_s00423_011_0881_9
crossref_primary_10_1097_TP_0b013e3182066275
crossref_primary_10_1097_01_tp_0000235516_99977_95
crossref_primary_10_1007_s00423_020_02018_3
crossref_primary_10_1111_j_1432_2277_2008_00673_x
crossref_primary_10_1002_lt_21154
crossref_primary_10_1111_tri_12164
crossref_primary_10_1111_j_1600_6143_2010_03293_x
crossref_primary_10_1016_j_amjsurg_2022_01_027
crossref_primary_10_1016_j_transproceed_2018_09_018
Cites_doi 10.1080/01621459.1958.10501452
10.1097/00007890-199404150-00008
10.1053/jlts.2001.22180
10.1053/jhep.2001.22172
10.1016/S0140-6736(00)02603-9
10.1053/jlts.2003.50089
10.1053/jlts.2002.35927
10.1034/j.1600-6143.2003.00092.x
10.1053/jlts.2003.50027
10.1097/00000658-200209000-00008
10.1148/radiology.143.1.7063747
10.1097/00007890-200101270-00011
10.1053/jlts.2002.34637
10.1097/01.TP.0000101009.91516.FC
10.1053/jlts.2003.50030
10.1097/00007890-198909000-00019
10.1053/he.2000.5852
10.1053/jlts.2003.50090
10.1034/j.1399-0012.2003.00068.x
ContentType Journal Article
Copyright Copyright © 2004 American Association for the Study of Liver Diseases
Copyright_xml – notice: Copyright © 2004 American Association for the Study of Liver Diseases
CorporateAuthor UK and Ireland Liver Transplant Audit
on behalf of the UK & Ireland Liver Transplant Audit
CorporateAuthor_xml – sequence: 0
  name: on behalf of the UK & Ireland Liver Transplant Audit
– name: UK and Ireland Liver Transplant Audit
DBID CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
CITATION
7X8
DOI 10.1002/lt.20169
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
CrossRef
MEDLINE - Academic
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
CrossRef
MEDLINE - Academic
DatabaseTitleList 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
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1527-6473
EndPage 907
ExternalDocumentID 10_1002_lt_20169
15237375
LT20169
Genre article
Journal Article
Comparative Study
GroupedDBID ---
--K
.3N
.55
.GA
.GJ
.Y3
05W
0R~
10A
1B1
1L6
1OC
1~5
24P
31~
33P
3SF
3WU
4.4
4G.
4ZD
50Y
50Z
51W
51X
52M
52N
52O
52P
52R
52S
52T
52U
52V
52W
52X
53G
5GY
5VS
7-5
702
7PT
8-0
8-1
8-3
8-4
8-5
8UM
930
A01
A03
AAEDT
AAESR
AAEVG
AAHHS
AALRI
AAONW
AAQFI
AAQXK
AASGY
AAXRX
AAXUO
AAZKR
ABCQN
ABCUV
ABEML
ABIJN
ABJNI
ABLJU
ABMAC
ABPVW
ABXGK
ACAHQ
ACCFJ
ACCZN
ACGFO
ACGFS
ACMXC
ACPOU
ACSCC
ACXBN
ACXQS
ADEOM
ADIZJ
ADKYN
ADMGS
ADMUD
ADOZA
ADXAS
ADZMN
AECAP
AEEZP
AEGXH
AEIMD
AENEX
AEQDE
AEUQT
AFBPY
AFGKR
AFPWT
AFUWQ
AFZJQ
AHMBA
AIACR
AIURR
AIWBW
AJAOE
AJBDE
ALAGY
ALMA_UNASSIGNED_HOLDINGS
ALUQN
AMBMR
AMYDB
ATUGU
AZBYB
AZVAB
BAFTC
BHBCM
BMXJE
BROTX
BRXPI
BY8
C45
CAG
COF
CS3
D-6
D-7
D-E
D-F
DCZOG
DIK
DPXWK
DR2
DRFUL
DRMAN
DRSTM
DU5
E3Z
EBS
EJD
F00
F01
F04
F5P
FD6
FDB
FEDTE
FGOYB
FUBAC
G-S
G.N
GNP
GODZA
H.X
HBH
HF~
HHY
HHZ
HVGLF
HZ~
IHE
IX1
J0M
J5H
JPC
KBYEO
KQQ
LATKE
LC2
LC3
LEEKS
LH4
LITHE
LOXES
LP6
LP7
LUTES
LW6
LYRES
M41
MK4
MRFUL
MRMAN
MRSTM
MSFUL
MSMAN
MSSTM
MXFUL
MXMAN
MXSTM
N04
N05
N9A
NF~
NNB
NQ-
O66
O9-
OIG
OK1
OVD
P2W
P2X
P2Z
P4B
P4D
PQQKQ
Q.N
Q11
QB0
QRW
R.K
R2-
RIG
ROL
RPZ
RWI
RX1
SEW
SSZ
SUPJJ
TEORI
UB1
UHS
V2E
V8K
V9Y
W8V
W99
WBKPD
WHWMO
WIH
WIJ
WIK
WIN
WJL
WOHZO
WQJ
WRC
WVDHM
WXI
X7M
XG1
XV2
ZZTAW
~IA
~WT
CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
ACLDA
ACRPL
CITATION
7X8
ID FETCH-LOGICAL-c3519-e972b662140611f58f2af5b12307b3324efba87abc1a45553f4f27d5eb601d4e3
IEDL.DBID DR2
ISSN 1527-6465
IngestDate Fri Aug 16 02:34:32 EDT 2024
Fri Dec 06 00:57:53 EST 2024
Sat Sep 28 07:40:27 EDT 2024
Sat Aug 24 00:52:59 EDT 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 7
Language English
License http://doi.wiley.com/10.1002/tdm_license_1.1
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c3519-e972b662140611f58f2af5b12307b3324efba87abc1a45553f4f27d5eb601d4e3
Notes Telephone: 44 20 7869 6620; Fax 44 20 7869 6644
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
OpenAccessLink https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/lt.20169
PMID 15237375
PQID 66675493
PQPubID 23479
PageCount 5
ParticipantIDs proquest_miscellaneous_66675493
crossref_primary_10_1002_lt_20169
pubmed_primary_15237375
wiley_primary_10_1002_lt_20169_LT20169
PublicationCentury 2000
PublicationDate July 2004
2004-Jul
2004-07-00
20040701
PublicationDateYYYYMMDD 2004-07-01
PublicationDate_xml – month: 07
  year: 2004
  text: July 2004
PublicationDecade 2000
PublicationPlace Hoboken
PublicationPlace_xml – name: Hoboken
– name: United States
PublicationTitle Liver transplantation
PublicationTitleAlternate Liver Transpl
PublicationYear 2004
Publisher Wiley Subscription Services, Inc., A Wiley Company
Publisher_xml – name: Wiley Subscription Services, Inc., A Wiley Company
References 2004; 77
2001; 71
2001
2001; 7
2000; 356
2000; 31
2003; 9
2002; 8
1958; 53
2003; 3
2002; 236
1982; 143
1994; 57
1994
2003; 17
2003
1972; 74
2001; 33
1989; 48
15237376 - Liver Transpl. 2004 Jul;10(7):908-10
Kaplan (10.1002/lt.20169-BIB11) 1958; 53
Collett (10.1002/lt.20169-BIB13) 1994
Cox (10.1002/lt.20169-BIB14) 1972; 74
Saab (10.1002/lt.20169-BIB5) 2003; 9
UK Transplant (10.1002/lt.20169-BIB9) 2003
Doyle (10.1002/lt.20169-BIB19) 1994; 57
Adam (10.1002/lt.20169-BIB20) 2000; 356
Ghobrial (10.1002/lt.20169-BIB21) 2002; 236
Onaca (10.1002/lt.20169-BIB4) 2003; 9
Hanley (10.1002/lt.20169-BIB12) 1982; 143
Llado (10.1002/lt.20169-BIB16) 2002; 8
Neuberger (10.1002/lt.20169-BIB8) 1989; 48
Kim (10.1002/lt.20169-BIB24) 2003; 9
(10.1002/lt.20169-BIB10) 2003
Freeman (10.1002/lt.20169-BIB17) 2001; 7
Bilbao (10.1002/lt.20169-BIB23) 2003; 17
Onaca (10.1002/lt.20169-BIB7) 2003; 3
Kamath (10.1002/lt.20169-BIB1) 2001; 33
Malinchoc (10.1002/lt.20169-BIB2) 2000; 31
Desai (10.1002/lt.20169-BIB3) 2004; 77
Freeman (10.1002/lt.20169-BIB18) 2002; 8
Thuluvath (10.1002/lt.20169-BIB22) 2003; 9
Kim (10.1002/lt.20169-BIB6) 2001; 71
Statacorp (10.1002/lt.20169-BIB15) 2001
References_xml – volume: 9
  start-page: 527
  year: 2003
  end-page: 532
  article-title: A model to predict survival at one month, one year and five years after liver transplantation based on pretransplant clinical characteristics
  publication-title: Liver Transpl
– volume: 33
  start-page: 464
  year: 2001
  end-page: 470
  article-title: A model to predict survival in patients with end‐stage liver disease
  publication-title: Hepatology
– volume: 9
  start-page: 124
  year: 2003
  end-page: 125
  article-title: Pretransplantation disease severity and post transplantation outcome
  publication-title: Liver Transpl
– volume: 53
  start-page: 457
  year: 1958
  end-page: 481
  article-title: Nonparametric estimation from incomplete observations
  publication-title: J Am Statistical Assoc
– volume: 8
  start-page: 795
  year: 2002
  end-page: 798
  article-title: Is MELD really the definitive score for liver allocation?
  publication-title: Liver Transpl
– volume: 8
  start-page: 851
  year: 2002
  end-page: 858
  article-title: The new liver allocation system: moving towards evidence‐based transplantation policy
  publication-title: Liver Transpl
– volume: 356
  start-page: 621
  year: 2000
  end-page: 627
  article-title: Normalised intrinsic mortality risk in liver transplantation: European Liver Transplant Registry Study
  publication-title: Lancet
– volume: 236
  start-page: 315
  year: 2002
  end-page: 223
  article-title: Pretransplant model to predict posttransplant survival in liver transplant patients
  publication-title: Ann Surg
– year: 2001
– volume: 74
  start-page: 187
  year: 1972
  end-page: 220
  article-title: Regression models and life tables
  publication-title: J Royal Statistical Soc
– volume: 9
  start-page: 473
  year: 2003
  end-page: 476
  article-title: MELD score predicts 1‐year patient survival post orthotopic liver transplantation
  publication-title: Liver Transpl;
– year: 2003
– volume: 143
  start-page: 29
  year: 1982
  end-page: 36
  article-title: The meaning and use of the area under a receiver operating characteristic (ROC) curve
  publication-title: Radiology
– volume: 71
  start-page: 284
  issue: suppl 1
  year: 2001
  article-title: Prediction of liver transplant outcome using the MELD scale
  publication-title: Transplantation
– volume: 17
  start-page: 401
  issue: 5
  year: 2003
  end-page: 411
  article-title: Predictive factors for early mortality following liver transplantation
  publication-title: Clin Transpl
– volume: 77
  start-page: 99
  year: 2004
  end-page: 106
  article-title: Predicting outcome after liver transplantation: utility of the model for end‐stage liver disease and a newly derived discrimination function
  publication-title: Transplantation
– volume: 48
  start-page: 444
  year: 1989
  end-page: 447
  article-title: Prognosis after liver transplantation for biliary cirrhosis
  publication-title: Transplantation
– volume: 7
  start-page: 173
  year: 2001
  end-page: 178
  article-title: Preliminary results of a liver allocation plan using a continuous medical severity score that de‐emphasises waiting time
  publication-title: Liver Transpl
– volume: 3
  start-page: 626
  year: 2003
  end-page: 630
  article-title: Pretransplant MELD score as a predictor of outcome after liver transplantation for chronic hepatitis C
  publication-title: Am J Transpl
– start-page: 49
  year: 1994
  end-page: 51
– volume: 31
  start-page: 864
  year: 2000
  end-page: 871
  article-title: A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts
  publication-title: Hepatology
– volume: 9
  start-page: 117
  year: 2003
  end-page: 123
  article-title: A correlation between the pretransplant meld score and mortality in the first two years after liver transplantation
  publication-title: Liver Transpl
– volume: 57
  start-page: 1028
  year: 1994
  end-page: 1036
  article-title: Early death or retransplantation in adults after orthotopic liver transplantation. Can outcome be predicted?
  publication-title: Transplantation.
– volume: 53
  start-page: 457
  year: 1958
  ident: 10.1002/lt.20169-BIB11
  publication-title: J Am Statistical Assoc
  doi: 10.1080/01621459.1958.10501452
  contributor:
    fullname: Kaplan
– volume: 57
  start-page: 1028
  year: 1994
  ident: 10.1002/lt.20169-BIB19
  publication-title: Transplantation.
  doi: 10.1097/00007890-199404150-00008
  contributor:
    fullname: Doyle
– volume: 7
  start-page: 173
  year: 2001
  ident: 10.1002/lt.20169-BIB17
  publication-title: Liver Transpl
  doi: 10.1053/jlts.2001.22180
  contributor:
    fullname: Freeman
– volume: 33
  start-page: 464
  year: 2001
  ident: 10.1002/lt.20169-BIB1
  publication-title: Hepatology
  doi: 10.1053/jhep.2001.22172
  contributor:
    fullname: Kamath
– volume: 356
  start-page: 621
  year: 2000
  ident: 10.1002/lt.20169-BIB20
  publication-title: Lancet
  doi: 10.1016/S0140-6736(00)02603-9
  contributor:
    fullname: Adam
– volume-title: Statistical Software: Release 7.0.
  year: 2001
  ident: 10.1002/lt.20169-BIB15
  contributor:
    fullname: Statacorp
– volume: 9
  start-page: 527
  year: 2003
  ident: 10.1002/lt.20169-BIB22
  publication-title: Liver Transpl
  doi: 10.1053/jlts.2003.50089
  contributor:
    fullname: Thuluvath
– volume: 8
  start-page: 851
  year: 2002
  ident: 10.1002/lt.20169-BIB18
  publication-title: Liver Transpl
  doi: 10.1053/jlts.2002.35927
  contributor:
    fullname: Freeman
– volume: 3
  start-page: 626
  year: 2003
  ident: 10.1002/lt.20169-BIB7
  publication-title: Am J Transpl
  doi: 10.1034/j.1600-6143.2003.00092.x
  contributor:
    fullname: Onaca
– year: 2003
  ident: 10.1002/lt.20169-BIB10
– volume: 9
  start-page: 117
  year: 2003
  ident: 10.1002/lt.20169-BIB4
  publication-title: Liver Transpl
  doi: 10.1053/jlts.2003.50027
  contributor:
    fullname: Onaca
– volume: 236
  start-page: 315
  year: 2002
  ident: 10.1002/lt.20169-BIB21
  publication-title: Ann Surg
  doi: 10.1097/00000658-200209000-00008
  contributor:
    fullname: Ghobrial
– start-page: 49
  volume-title: Texts in Statistical Science
  year: 1994
  ident: 10.1002/lt.20169-BIB13
  contributor:
    fullname: Collett
– volume: 143
  start-page: 29
  year: 1982
  ident: 10.1002/lt.20169-BIB12
  publication-title: Radiology
  doi: 10.1148/radiology.143.1.7063747
  contributor:
    fullname: Hanley
– volume: 71
  start-page: 284
  year: 2001
  ident: 10.1002/lt.20169-BIB6
  publication-title: Transplantation
  doi: 10.1097/00007890-200101270-00011
  contributor:
    fullname: Kim
– volume: 8
  start-page: 795
  year: 2002
  ident: 10.1002/lt.20169-BIB16
  publication-title: Liver Transpl
  doi: 10.1053/jlts.2002.34637
  contributor:
    fullname: Llado
– year: 2003
  ident: 10.1002/lt.20169-BIB9
  contributor:
    fullname: UK Transplant
– volume: 77
  start-page: 99
  year: 2004
  ident: 10.1002/lt.20169-BIB3
  publication-title: Transplantation
  doi: 10.1097/01.TP.0000101009.91516.FC
  contributor:
    fullname: Desai
– volume: 9
  start-page: 124
  year: 2003
  ident: 10.1002/lt.20169-BIB24
  publication-title: Liver Transpl
  doi: 10.1053/jlts.2003.50030
  contributor:
    fullname: Kim
– volume: 48
  start-page: 444
  year: 1989
  ident: 10.1002/lt.20169-BIB8
  publication-title: Transplantation
  doi: 10.1097/00007890-198909000-00019
  contributor:
    fullname: Neuberger
– volume: 31
  start-page: 864
  year: 2000
  ident: 10.1002/lt.20169-BIB2
  publication-title: Hepatology
  doi: 10.1053/he.2000.5852
  contributor:
    fullname: Malinchoc
– volume: 9
  start-page: 473
  year: 2003
  ident: 10.1002/lt.20169-BIB5
  publication-title: Liver Transpl;
  doi: 10.1053/jlts.2003.50090
  contributor:
    fullname: Saab
– volume: 74
  start-page: 187
  year: 1972
  ident: 10.1002/lt.20169-BIB14
  publication-title: J Royal Statistical Soc
  contributor:
    fullname: Cox
– volume: 17
  start-page: 401
  year: 2003
  ident: 10.1002/lt.20169-BIB23
  publication-title: Clin Transpl
  doi: 10.1034/j.1399-0012.2003.00068.x
  contributor:
    fullname: Bilbao
SSID ssj0011590
Score 2.171396
Snippet It has been shown that the model for end‐stage liver disease (MELD) score is an accurate predictor of survival in patients with liver disease without...
It has been shown that the model for end-stage liver disease (MELD) score is an accurate predictor of survival in patients with liver disease without...
SourceID proquest
crossref
pubmed
wiley
SourceType Aggregation Database
Index Database
Publisher
StartPage 903
SubjectTerms Adult
Female
Humans
Ireland
Liver Failure - classification
Liver Failure - surgery
Liver Transplantation - mortality
Liver Transplantation - statistics & numerical data
Male
Middle Aged
Predictive Value of Tests
Severity of Illness Index
Time Factors
Tissue and Organ Procurement - statistics & numerical data
Treatment Outcome
United Kingdom
Title Pretransplant MELD score and post liver transplantation survival in the UK and Ireland
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Flt.20169
https://www.ncbi.nlm.nih.gov/pubmed/15237375
https://search.proquest.com/docview/66675493
Volume 10
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3NS8MwFA_iQbz4_VE_I4i3bmuaNO1R3MbUTUQ2GXgoSZuAOLqxdhf_evPSdWOKIJ56SULb95L3e8nv_YLQtYnAHFR7XUmF71LGIzcKtXBFqGmUiIgmBOqde09BZ0Afhmw4Z1VCLUypD7HYcIOZYddrmOBC5vWlaOgImJBeALV7ns-Bzdd8WShHGZxjt1fg0lY3oAGrdGcbpF51XI1EP-DlKlq14aa9jd6qFy1ZJh-1WSFryec3Dcf_fckO2pqjUHxbus0uWlPZHtrozc_Z99Hr81QVVvZ8ZP487rW6TZyD4CUWWYon47zAIyB04GUja2Gcz8zSY5wXv2fYQEs8eLQ97qFkJksP0KDd6t913PkNDG4CF_e5KuJEBgHxIOx7moWaCM2kB-xx6RssprQUIRcy8QRljPmaasJTpqTJ81Kq_EO0no0zdYywopInHuGh1sYeaSoboHuTmgUnlJIS6qCryhrxpBTaiEtJZRKPitj-IAddVmaKzSyAow2RqfEsj00Sxk2m6zvoqLTecgyTaXPjHw66sTb4dfC427fPk782PEWbJY0HuLtnaL2YztS5QSiFvLC--AVvruAy
link.rule.ids 314,780,784,1375,27924,27925,46294,46718
linkProvider Wiley-Blackwell
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bS8MwFD7oBPXF-2VeI4hvdTZNmhafxAtTNxHZxAehJG0C4uhk61789eakq0NFEJ_6koQ0JyfnO8mXLwCHNgILVO31FJOBx7iIvTgy0pORYXEqY5ZSvO_cvgubXXbzxJ-m4LS6C1PqQ3xuuKFnuPUaHRw3pBsT1dAeUiH9MJ6GGevtPvK5Lh4-taMs0nEbLPhsqxeykFfKsye0UdX8Got-AMyveNUFnKtFeK66WvJMXo9HhTpO37-pOP7zX5ZgYQxEyVk5c5ZhSucrMNseH7WvwuP9QBdO-bxnB5-0L1sXZIial0TmGXnrDwvSQ04HmRRyRibDkV197PwlLzmx6JJ0b12Na7w1k2dr0L267Jw3vfEjDF6Kb_d5OhZUhSH1MfL7hkeGSsOVjwRyFVg4po2SkZAq9SXjnAeGGSoyrpVN9TKmg3Wo5f1cbwLRTInUpyIyxhoky9QJSt9kds2JlGKU1eGgMkfyVmptJKWqMk16ReIGqA77lZ0S6wh4uiFz3R8NE5uHCZvsBnXYKM03acMm2yIQvA5Hzgi_Np60Ou679deC-zDX7LRbSev67nYb5ktWD1J5d6BWDEZ61wKWQu25ifkBiubkUw
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1bS8MwFD54AfHF-2XeFkF867Rp0rSP4ja8bCLiRPChJG0C4uiG61789eakq2OKID71JQlpzknOd5IvXwBObAQWqNrrKSYDj3ERe3FkpCcjw-JUxiyleN-5exde9djNM3-esCrxLkypD_G14YYzw63XOMGHmTmbiob2kQnph_E8LLKQxqib33z4ko6yQMftr-CrrV7IQl4Jz57Ts6rmbCj6gS9n4aqLN-1VeKl6WtJM3hrjQjXSj28ijv_7lTVYmcBQclH6zTrM6XwDlrqTg_ZNeLp_14XTPe_boSfdVqdJRqh4SWSekeFgVJA-MjrItJAzMRmN7dpjvZe85sRiS9K7dTWu8c5Mnm1Br916vLzyJk8weCm-3OfpWFAVhtTHuO8bHhkqDVc-0sdVYMGYNkpGQqrUl4xzHhhmqMi4VjbRy5gOtmEhH-R6F4hmSqQ-FZEx1h5Zps5R-CazK06kFKOsBseVNZJhqbSRlJrKNOkXiRugGtQrMyV2GuDZhsz1YDxKbBYmbKob1GCntN60DZtqi0DwGpw6G_zaeNJ5dN-9vxasw9J9s510ru9u92G5pPQgj_cAFor3sT60aKVQR84tPwH3W-MC
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=Pretransplant+MELD+score+and+post+liver+transplantation+survival+in+the+UK+and+Ireland&rft.jtitle=Liver+transplantation&rft.au=Jacob%2C+Mathew&rft.au=Copley%2C+Lynn+P&rft.au=Lewsey%2C+James+D&rft.au=Gimson%2C+Alex&rft.date=2004-07-01&rft.issn=1527-6465&rft.volume=10&rft.issue=7&rft.spage=903&rft_id=info:doi/10.1002%2Flt.20169&rft_id=info%3Apmid%2F15237375&rft.externalDocID=15237375
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1527-6465&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1527-6465&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1527-6465&client=summon