Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies.
<h4>Objective</h4>Biological evidence suggests that inflammation might induce type 2 diabetes (T2D), and epidemiological studies have shown an association between higher white blood cell count (WBC) and T2D. However, the association has not been systematically investigated.<h4>Rese...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2010-10-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0013405&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849433975342235648 |
|---|---|
| author | Effrossyni Gkrania-Klotsas Zheng Ye Andrew J Cooper Stephen J Sharp Robert Luben Mary L Biggs Liang-Kung Chen Kuppan Gokulakrishnan Markolf Hanefeld Erik Ingelsson Wen-An Lai Shih-Yi Lin Lars Lind Vitool Lohsoonthorn Viswanathan Mohan Antonio Muscari Goran Nilsson John Ohrvik Jiang Chao Qiang Nancy Swords Jenny Koji Tamakoshi Theodora Temelkova-Kurktschiev Ya-Yu Wang Chittaranjan Sakerlal Yajnik Marco Zoli Kay-Tee Khaw Nita G Forouhi Nicholas J Wareham Claudia Langenberg |
| author_facet | Effrossyni Gkrania-Klotsas Zheng Ye Andrew J Cooper Stephen J Sharp Robert Luben Mary L Biggs Liang-Kung Chen Kuppan Gokulakrishnan Markolf Hanefeld Erik Ingelsson Wen-An Lai Shih-Yi Lin Lars Lind Vitool Lohsoonthorn Viswanathan Mohan Antonio Muscari Goran Nilsson John Ohrvik Jiang Chao Qiang Nancy Swords Jenny Koji Tamakoshi Theodora Temelkova-Kurktschiev Ya-Yu Wang Chittaranjan Sakerlal Yajnik Marco Zoli Kay-Tee Khaw Nita G Forouhi Nicholas J Wareham Claudia Langenberg |
| author_sort | Effrossyni Gkrania-Klotsas |
| collection | DOAJ |
| description | <h4>Objective</h4>Biological evidence suggests that inflammation might induce type 2 diabetes (T2D), and epidemiological studies have shown an association between higher white blood cell count (WBC) and T2D. However, the association has not been systematically investigated.<h4>Research design and methods</h4>Studies were identified through computer-based and manual searches. Previously unreported studies were sought through correspondence. 20 studies were identified (8,647 T2D cases and 85,040 non-cases). Estimates of the association of WBC with T2D were combined using random effects meta-analysis; sources of heterogeneity as well as presence of publication bias were explored.<h4>Results</h4>The combined relative risk (RR) comparing the top to bottom tertile of the WBC count was 1.61 (95% CI: 1.45; 1.79, p = 1.5*10(-18)). Substantial heterogeneity was present (I(2) = 83%). For granulocytes the RR was 1.38 (95% CI: 1.17; 1.64, p = 1.5*10(-4)), for lymphocytes 1.26 (95% CI: 1.02; 1.56, p = 0.029), and for monocytes 0.93 (95% CI: 0.68; 1.28, p = 0.67) comparing top to bottom tertile. In cross-sectional studies, RR was 1.74 (95% CI: 1.49; 2.02, p = 7.7*10(-13)), while in cohort studies it was 1.48 (95% CI: 1.22; 1.79, p = 7.7*10(-5)). We assessed the impact of confounding in EPIC-Norfolk study and found that the age and sex adjusted HR of 2.19 (95% CI: 1.74; 2.75) was attenuated to 1.82 (95% CI: 1.45; 2.29) after further accounting for smoking, T2D family history, physical activity, education, BMI and waist circumference.<h4>Conclusions</h4>A raised WBC is associated with higher risk of T2D. The presence of publication bias and failure to control for all potential confounders in all studies means the observed association is likely an overestimate. |
| format | Article |
| id | doaj-art-3d87df69aa524c5fa75e8b6dfaf7ecb7 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2010-10-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-3d87df69aa524c5fa75e8b6dfaf7ecb72025-08-20T03:26:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032010-10-01510e1340510.1371/journal.pone.0013405Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies.Effrossyni Gkrania-KlotsasZheng YeAndrew J CooperStephen J SharpRobert LubenMary L BiggsLiang-Kung ChenKuppan GokulakrishnanMarkolf HanefeldErik IngelssonWen-An LaiShih-Yi LinLars LindVitool LohsoonthornViswanathan MohanAntonio MuscariGoran NilssonJohn OhrvikJiang Chao QiangNancy Swords JennyKoji TamakoshiTheodora Temelkova-KurktschievYa-Yu WangChittaranjan Sakerlal YajnikMarco ZoliKay-Tee KhawNita G ForouhiNicholas J WarehamClaudia Langenberg<h4>Objective</h4>Biological evidence suggests that inflammation might induce type 2 diabetes (T2D), and epidemiological studies have shown an association between higher white blood cell count (WBC) and T2D. However, the association has not been systematically investigated.<h4>Research design and methods</h4>Studies were identified through computer-based and manual searches. Previously unreported studies were sought through correspondence. 20 studies were identified (8,647 T2D cases and 85,040 non-cases). Estimates of the association of WBC with T2D were combined using random effects meta-analysis; sources of heterogeneity as well as presence of publication bias were explored.<h4>Results</h4>The combined relative risk (RR) comparing the top to bottom tertile of the WBC count was 1.61 (95% CI: 1.45; 1.79, p = 1.5*10(-18)). Substantial heterogeneity was present (I(2) = 83%). For granulocytes the RR was 1.38 (95% CI: 1.17; 1.64, p = 1.5*10(-4)), for lymphocytes 1.26 (95% CI: 1.02; 1.56, p = 0.029), and for monocytes 0.93 (95% CI: 0.68; 1.28, p = 0.67) comparing top to bottom tertile. In cross-sectional studies, RR was 1.74 (95% CI: 1.49; 2.02, p = 7.7*10(-13)), while in cohort studies it was 1.48 (95% CI: 1.22; 1.79, p = 7.7*10(-5)). We assessed the impact of confounding in EPIC-Norfolk study and found that the age and sex adjusted HR of 2.19 (95% CI: 1.74; 2.75) was attenuated to 1.82 (95% CI: 1.45; 2.29) after further accounting for smoking, T2D family history, physical activity, education, BMI and waist circumference.<h4>Conclusions</h4>A raised WBC is associated with higher risk of T2D. The presence of publication bias and failure to control for all potential confounders in all studies means the observed association is likely an overestimate.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0013405&type=printable |
| spellingShingle | Effrossyni Gkrania-Klotsas Zheng Ye Andrew J Cooper Stephen J Sharp Robert Luben Mary L Biggs Liang-Kung Chen Kuppan Gokulakrishnan Markolf Hanefeld Erik Ingelsson Wen-An Lai Shih-Yi Lin Lars Lind Vitool Lohsoonthorn Viswanathan Mohan Antonio Muscari Goran Nilsson John Ohrvik Jiang Chao Qiang Nancy Swords Jenny Koji Tamakoshi Theodora Temelkova-Kurktschiev Ya-Yu Wang Chittaranjan Sakerlal Yajnik Marco Zoli Kay-Tee Khaw Nita G Forouhi Nicholas J Wareham Claudia Langenberg Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. PLoS ONE |
| title | Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. |
| title_full | Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. |
| title_fullStr | Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. |
| title_full_unstemmed | Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. |
| title_short | Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies. |
| title_sort | differential white blood cell count and type 2 diabetes systematic review and meta analysis of cross sectional and prospective studies |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0013405&type=printable |
| work_keys_str_mv | AT effrossynigkraniaklotsas differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT zhengye differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT andrewjcooper differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT stephenjsharp differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT robertluben differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT marylbiggs differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT liangkungchen differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT kuppangokulakrishnan differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT markolfhanefeld differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT erikingelsson differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT wenanlai differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT shihyilin differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT larslind differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT vitoollohsoonthorn differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT viswanathanmohan differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT antoniomuscari differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT gorannilsson differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT johnohrvik differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT jiangchaoqiang differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT nancyswordsjenny differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT kojitamakoshi differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT theodoratemelkovakurktschiev differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT yayuwang differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT chittaranjansakerlalyajnik differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT marcozoli differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT kayteekhaw differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT nitagforouhi differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT nicholasjwareham differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies AT claudialangenberg differentialwhitebloodcellcountandtype2diabetessystematicreviewandmetaanalysisofcrosssectionalandprospectivestudies |