Evidence map›Paper›PMID 20976133›Full record

SynthesisPloS one2010

Differential white blood cell count and type 2 diabetes: systematic review and meta-analysis of cross-sectional and prospective studies.

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 and 19 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 1 synthesis or guideline pooled it.

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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Effrossyni Gkrania-KlotsasMRC Epidemiology Unit, Institute of Metabolic Science, Cambridge, United Kingdom.
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

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
Determinants and Cardiovascular Consequences of Diabetes in Older AdultsR01HL094555 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI ARNOLD, ALICE A., DJOUSSE, LUC · 2009 to 2012
$5.9M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Predictors of Alheimers Disease in Mild Cognitive ImpairmentR01AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2002 to 2011
$3.7M
Subcortical Hyperintensities in Sleep Apnea Syndrome.R01HL075366 · NHLBI · NATIONAL JEWISH HEALTH · PI ALOIA, MARK S. · 2004 to 2007
$1.5M
Hormonal trajectories in agingR01AG027058 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, ANNE R · 2006 to 2009
$1.2M
MULTIDISCIPLINARY INTERNATIONAL RESEARCH TRAINING GRANTT37TW000049 · FIC · UNIVERSITY OF WASHINGTON · PI WILLIAMS, MICHELLE A. · 1994 to 2004
$1.1M
CHS-ULTRASOUND READINGN01HC045133 · HC · GEISINGER HEALTH SYSTEM · PI O'LEARY, DANIEL H. · 1994 to 2000
$155k
COGNITIVE TESTS, APOE, BRAIN MRI AND RISKS OF DEMENTIAR01AG015928 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KULLER, LEWIS H · 1998 to 1999
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CARDIOVASCULAR HEALTH STUDY-ECHOCARDIOGRAPHY READING CTRN01HC035129 · HC · GEORGETOWN UNIVERSITY · PI GOTTDIENER, JOHN S. · 1993 to 2001
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CHS-Transition Phase -268055222-268055222N01HC055222 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2005 to 2006
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FIC NIH HHS T37 TW000049Medical Research Council G0401527Medical Research Council MC_U106179471Medical Research Council MC_UP_A100_1003NHLBI NIH HHS N01 HC015103NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS R01 HL075366NHLBI NIH HHS R01 HL094555NHLBI NIH HHS U01 HL080295NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027058
6 · The paper itself

Abstract

objectiveBiological 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. RESEARCH DESIGN AND

methodsStudies 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.

resultsThe 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.

conclusionsA 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.

Indexed as

Leukocyte CountAdultAgedCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedProspective Studies

Identifiers

PMID20976133
PMCPMC2956635

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.