Authors:
Xueren Gao School of Pharmacy, Yancheng Teachers' University, Yancheng, China

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Yuqing Chen School of Pharmacy, Yancheng Teachers' University, Yancheng, China

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Abstract

Previous observational studies have investigated the association between urinary albumin excretion and the risk of colorectal cancer (CRC), but the results have been inconsistent. This study aimed to explore the causal association between urine albumin-to-creatinine ratio (ACR) and CRC risk through a two-sample Mendelian randomization (MR) analysis. The genome-wide association study (GWAS) data of ACR (n = 382,500) and CRC (CRC: 6,509 cases and 287,137 controls) were obtained from the IEU OpenGWAS project website and the FinnGen database, respectively. The TwoSampleMR and MR-PRESSO R packages were used to search for and analyze genetic variations that served as instrumental variables for ACR. The odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using the inverse-variance weighted method, MR-Egger, and weighted median. Genetically predicted ACR was not associated with CRC risk (all P > 0.05). Further analysis based on the site of onset (colon or rectum) also did not show a significant association (all P > 0.05). MR-PRESSO, MR-Egger regression and leave-one-out sensitivity analysis all indicated that the current results were robust and reliable. These findings suggest that ACR does not affect CRC risk and may not be used as a marker of CRC risk in clinical practice. However, relevant studies especially in ethnically diverse populations are still needed to confirm the current findings.

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Editor-in-Chief

László ROSIVALL (Semmelweis University, Budapest, Hungary)

Managing Editor

Anna BERHIDI (Semmelweis University, Budapest, Hungary)

Co-Editors

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  • Ákos KOLLER (Semmelweis University, Budapest, Hungary)
  • Zsolt RADÁK (University of Physical Education, Budapest, Hungary)
  • László LÉNÁRD (University of Pécs, Hungary)
  • Zoltán UNGVÁRI (Semmelweis University, Budapest, Hungary)

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Hungarian Editorial Board

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  • Zoltán BENYÓ (Semmelweis University, Budapest, Hungary)
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  • László DÉTÁRI (Eötvös Loránd University, Budapest, Hungary)
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2022  
Web of Science  
Total Cites
WoS
335
Journal Impact Factor 1.4
Rank by Impact Factor

Physiology (Q4)

Impact Factor
without
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5 Year
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Physiology (Q4)

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Scopus
SNIP
0.508

2021  
Web of Science  
Total Cites
WoS
330
Journal Impact Factor 1,697
Rank by Impact Factor

Physiology 73/81

Impact Factor
without
Journal Self Cites
1,697
5 Year
Impact Factor
1,806
Journal Citation Indicator 0,47
Rank by Journal Citation Indicator

Physiology 69/86

Scimago  
Scimago
H-index
31
Scimago
Journal Rank
0,32
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Physiology (medical) (Q3)
Scopus  
Scopus
Cite Score
2,7
Scopus
CIte Score Rank
Physiology (medical) 69/101 (Q3)
Scopus
SNIP
0,591

 

2020  
Total Cites 245
WoS
Journal
Impact Factor
2,090
Rank by Physiology 62/81 (Q4)
Impact Factor  
Impact Factor 1,866
without
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5 Year 1,703
Impact Factor
Journal  0,51
Citation Indicator  
Rank by Journal  Physiology 67/84 (Q4)
Citation Indicator   
Citable 42
Items
Total 42
Articles
Total 0
Reviews
Scimago 29
H-index
Scimago 0,417
Journal Rank
Scimago Physiology (medical) Q3
Quartile Score  
Scopus 270/1140=1,9
Scite Score  
Scopus Physiology (medical) 71/98 (Q3)
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Scopus 0,528
SNIP  
Days from  172
submission  
to acceptance  
Days from  106
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to publication  

2019  
Total Cites
WoS
137
Impact Factor 1,410
Impact Factor
without
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1,361
5 Year
Impact Factor
1,221
Immediacy
Index
0,294
Citable
Items
34
Total
Articles
33
Total
Reviews
1
Cited
Half-Life
2,1
Citing
Half-Life
9,3
Eigenfactor
Score
0,00028
Article Influence
Score
0,215
% Articles
in
Citable Items
97,06
Normalized
Eigenfactor
0,03445
Average
IF
Percentile
12,963
Scimago
H-index
27
Scimago
Journal Rank
0,267
Scopus
Scite Score
235/157=1,5
Scopus
Scite Score Rank
Physiology (medical) 73/99 (Q3)
Scopus
SNIP
0,38

 

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Physiology International
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