All-cause mortality and risk factors in a cohort of retired military male veterans, Xi'an, China: an 18-year follow up study

Sai, Xiao Yong; He, Yao; Men, Ke; Wang, Bo; Huang, Jiu; Shi, Qiuling; Zhang, Lei; Li, Liang S.; Choi, Bernard C. K.; Yan, Y P

doi:10.1186/1471-2458-7-290

Cited by 27 publications

(30 citation statements)

References 18 publications

(11 reference statements)

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“…Furthermore, a recent study in a Japanese population reported a significant association between low LDL-C levels and increased risk of death due to intracerebral haemorrhage [8]. Similar reports suggested that Chinese [9][10][11] and other Asian populations [12] have an increased propensity to haemorrhagic stroke related to low LDL-C levels. However, not all epidemiological studies confirmed this relation [13].…”

Section: Introductionmentioning

confidence: 80%

Aggressive statin treatment, very low serum cholesterol levels and haemorrhagic stroke: is there an association?

Athyros

Τζιόμαλος²,

Karagiannis³

et al. 2010

Current Opinion in Cardiology

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Existing data suggest that low LDL-C levels during intensive statin treatment are not associated with an increased risk for haemorrhagic stroke, except in patients with a history of intracerebral haemorrhage. In patients with a history of ischaemic stroke, intensive statin treatment substantially reduces the risk for both recurrent ischaemic stroke and for coronary heart disease (CHD) events. Any possible excess of haemorrhagic stroke is greatly outweighed by the protective effect against ischaemic stroke and CHD events.

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Section: Introductionmentioning

confidence: 80%

Aggressive statin treatment, very low serum cholesterol levels and haemorrhagic stroke: is there an association?

Athyros

Τζιόμαλος²,

Karagiannis³

et al. 2010

Current Opinion in Cardiology

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“…Furthermore, 5 year data from a Nigerian teaching hospital showed 5.7% total in-hospital mortality, of which 71.5% was assigned to medical wards 13. In comparison to these hospital figures, a study from China found a mortality rate (adjusted for age, body mass index, and a range of co-morbidities) of 38.7% in a cohort of male military veterans followed over 18 years 14. Mortality rates among hospitals may vary because of specific hospital and patient characteristics, but correlating the degree of variation with severity of illness or quality of care is complex 15 16 17 18 19…”

Section: Discussionmentioning

confidence: 98%

Medical mortality in Pakistan: experience at a tertiary care hospital

Tariq

Jafri

Ansari

et al. 2009

Postgraduate Medical Journal

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“…(Boggia et al, 2008;Gratziou, 2009;Jindal et al, 2006;Løkke et al, 2006;Pelkonen et al, 2006;Pelkonen, 2008;Sai et al, 2007;Sarna et al, 2008;Shankar et al, 2008;Streppel et al, 2007). Repeating the search in August 2012 identified two more potentially suitable papers (Jamrozik et al, 2011;Omori et al, 2011).…”

Section: Searchesmentioning

confidence: 99%

Estimating the decline in excess risk of chronic obstructive pulmonary disease following quitting smoking – A systematic review based on the negative exponential model

Fry

Forey

2014

Regulatory Toxicology and Pharmacology

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We quantified the decline in COPD risk following quitting using the negative exponential model, as previously carried out for other smoking-related diseases. We identified 14 blocks of RRs (from 11 studies) comparing current smokers, former smokers (by time quit) and never smokers, some studies providing sex-specific blocks. Corresponding pseudo-numbers of cases and controls/at risk formed the data for model-fitting. We estimated the half-life (H, time since quit when the excess risk becomes half that for a continuing smoker) for each block, except for one where no decline with quitting was evident, and H was not estimable. For the remaining 13 blocks, goodness-of-fit to the model was generally adequate, the combined estimate of H being 13.32 (95% CI 11.86-14.96) years. There was no heterogeneity in H, overall or by various studied sources. Sensitivity analyses allowing for reverse causation or different assumed times for the final quitting period little affected the results. The model summarizes quitting data well. The estimate of 13.32years is substantially larger than recent estimates of 4.40years for ischaemic heart disease and 4.78years for stroke, and also larger than the 9.93years for lung cancer. Heterogeneity was unimportant for COPD, unlike for the other three diseases.

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All-cause mortality and risk factors in a cohort of retired military male veterans, Xi'an, China: an 18-year follow up study

Abstract: Background: Risk factors of all-cause mortality have not been reported in Chinese retired military veterans. The objective of the study was to examine the risk factors and proportional mortality in a Chinese retired military male cohort.

Cited by 27 publications

References 18 publications

Aggressive statin treatment, very low serum cholesterol levels and haemorrhagic stroke: is there an association?

Aggressive statin treatment, very low serum cholesterol levels and haemorrhagic stroke: is there an association?

Medical mortality in Pakistan: experience at a tertiary care hospital

Estimating the decline in excess risk of chronic obstructive pulmonary disease following quitting smoking – A systematic review based on the negative exponential model

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