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Sex-specific relevance of diabetes to occlusive vascular and other mortality: a collaborative meta-analysis of individual data from 980 793 adults from 68 prospective studies

Overview of attention for article published in The Lancet Diabetes & Endocrinology, May 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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5 news outlets
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46 X users

Citations

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159 Dimensions

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185 Mendeley
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Title
Sex-specific relevance of diabetes to occlusive vascular and other mortality: a collaborative meta-analysis of individual data from 980 793 adults from 68 prospective studies
Published in
The Lancet Diabetes & Endocrinology, May 2018
DOI 10.1016/s2213-8587(18)30079-2
Pubmed ID
Authors

L Gnatiuc, WG Herrington, J Halsey, J Tuomilehto, X Fang, HC Kim, D De Bacquer, AJ Dobson, MH Criqui, Jacobs, DA Leon, SAE Peters, H Ueshima, P Sherliker, R Peto, R Collins, RR Huxley, Emberson, M Woodward, S Lewington, N Aoki, H Arima, E Arnesen, A Aromaa, G Assmann, DL Bachman, C Baigent, H Bartholomew, A Benetos, C Bengtsson, D Bennett, C Björkelund, H Blackburn, K Bonaa, E Boyle, R Broadhurst, J Carstensen, L Chambless, Z Chen, SK Chew, R Clarke, C Cox, JD Curb, R D'Agostino, C Date, G Davey Smith, G De Backer, SS Dhaliwal, XF Duan, P Ducimetiere, S Duffy, H Eliassen, P Elwood, J Empana, MH Garcia-Palmieri, P Gazes, GG Giles, C Gillis, U Goldbourt, DF Gu, M Guasch-Ferre, L Guize, L Haheim, C Hart, S Hashimoto, T Hashimoto, D Heng, I Hjermann, SC Ho, M Hobbs, D Hole, I Holme, H Horibe, A Hozawa, F Hu, K Hughes, M Iida, K Imai, Y Imai, H Iso, R Jackson, K Jamrozik, SH Jee, G Jensen, CQ Jiang, NB Johansen, T Jorgensen, P Jousilahti, M Kagaya, J Keil, J Keller, IS Kim, Y Kita, A Kitamura, Y Kiyohara, P Knekt, M Knuiman, M Kornitzer, D Kromhout, R Kronmal, TH Lam, M Law, J Lee, P Leren, D Levy, YH Li, L Lissner, R Luepker, M Luszcz, S MacMahon, H Maegawa, M Marmot, Y Matsutani, T Meade, J Morris, R Morris, T Murayama, Y Naito, K Nakachi, M Nakamura, T Nakayama, J Neaton, PJ Nietert, Y Nishimoto, R Norton, A Nozaki, T Ohkubo, A Okayama, WH Pan, P Puska, N Qizilbash, A Reunanen, E Rimm, A Rodgers, S Saitoh, K Sakata, S Sato, P Schnohr, H Schulte, R Selmer, D Sharp, X Shifu, K Shimamoto, M Shipley, H Silbershatz, p Sorlie, P Sritara, I Suh, Sutherland, P Sweetnam, A Tamakoshi, H Tanaka, T Thomsen, S Tominaga, M Tomita, S Törnberg, H Tunstall-Pedoe, A Tverdal, H Ueshima, E Vartiainen, N Wald, SG Wannamethee, TA Welborn, P Whincup, G Whitlock, W Willett, J Woo, ZL Wu, SX Yao, J Yarnell, T Yokoyama, N Yoshiike, XH Zhang

Abstract

Several studies have shown that diabetes confers a higher relative risk of vascular mortality among women than among men, but whether this increased relative risk in women exists across age groups and within defined levels of other risk factors is uncertain. We aimed to determine whether differences in established risk factors, such as blood pressure, BMI, smoking, and cholesterol, explain the higher relative risks of vascular mortality among women than among men. In our meta-analysis, we obtained individual participant-level data from studies included in the Prospective Studies Collaboration and the Asia Pacific Cohort Studies Collaboration that had obtained baseline information on age, sex, diabetes, total cholesterol, blood pressure, tobacco use, height, and weight. Data on causes of death were obtained from medical death certificates. We used Cox regression models to assess the relevance of diabetes (any type) to occlusive vascular mortality (ischaemic heart disease, ischaemic stroke, or other atherosclerotic deaths) by age, sex, and other major vascular risk factors, and to assess whether the associations of blood pressure, total cholesterol, and body-mass index (BMI) to occlusive vascular mortality are modified by diabetes. Individual participant-level data were analysed from 980 793 adults. During 9·8 million person-years of follow-up, among participants aged between 35 and 89 years, 19 686 (25·6%) of 76 965 deaths were attributed to occlusive vascular disease. After controlling for major vascular risk factors, diabetes roughly doubled occlusive vascular mortality risk among men (death rate ratio [RR] 2·10, 95% CI 1·97-2·24) and tripled risk among women (3·00, 2·71-3·33; χ2 test for heterogeneity p<0·0001). For both sexes combined, the occlusive vascular death RRs were higher in younger individuals (aged 35-59 years: 2·60, 2·30-2·94) than in older individuals (aged 70-89 years: 2·01, 1·85-2·19; p=0·0001 for trend across age groups), and, across age groups, the death RRs were higher among women than among men. Therefore, women aged 35-59 years had the highest death RR across all age and sex groups (5·55, 4·15-7·44). However, since underlying confounder-adjusted occlusive vascular mortality rates at any age were higher in men than in women, the adjusted absolute excess occlusive vascular mortality associated with diabetes was similar for men and women. At ages 35-59 years, the excess absolute risk was 0·05% (95% CI 0·03-0·07) per year in women compared with 0·08% (0·05-0·10) per year in men; the corresponding excess at ages 70-89 years was 1·08% (0·84-1·32) per year in women and 0·91% (0·77-1·05) per year in men. Total cholesterol, blood pressure, and BMI each showed continuous log-linear associations with occlusive vascular mortality that were similar among individuals with and without diabetes across both sexes. Independent of other major vascular risk factors, diabetes substantially increased vascular risk in both men and women. Lifestyle changes to reduce smoking and obesity and use of cost-effective drugs that target major vascular risks (eg, statins and antihypertensive drugs) are important in both men and women with diabetes, but might not reduce the relative excess risk of occlusive vascular disease in women with diabetes, which remains unexplained. UK Medical Research Council, British Heart Foundation, Cancer Research UK, European Union BIOMED programme, and National Institute on Aging (US National Institutes of Health).

X Demographics

X Demographics

The data shown below were collected from the profiles of 46 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 185 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 12%
Student > Master 22 12%
Student > Ph. D. Student 14 8%
Student > Postgraduate 13 7%
Student > Bachelor 13 7%
Other 44 24%
Unknown 57 31%
Readers by discipline Count As %
Medicine and Dentistry 65 35%
Nursing and Health Professions 14 8%
Social Sciences 7 4%
Biochemistry, Genetics and Molecular Biology 5 3%
Agricultural and Biological Sciences 3 2%
Other 19 10%
Unknown 72 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 March 2020.
All research outputs
#673,924
of 25,732,188 outputs
Outputs from The Lancet Diabetes & Endocrinology
#494
of 2,162 outputs
Outputs of similar age
#14,785
of 342,262 outputs
Outputs of similar age from The Lancet Diabetes & Endocrinology
#14
of 42 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,162 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 76.2. This one has done well, scoring higher than 77% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 342,262 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.