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Mark S. Clements

Researcher at Karolinska Institutet

Publications -  93
Citations -  4316

Mark S. Clements is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Population & Prostate cancer. The author has an hindex of 31, co-authored 79 publications receiving 3878 citations. Previous affiliations of Mark S. Clements include University of Sydney & Australian National University.

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Mortality in the Democratic Republic of Congo: a nationwide survey.

TL;DR: The conflict in the Democratic Republic of Congo remains the world's deadliest humanitarian crisis and improvements in security and increased humanitarian assistance are urgently needed.
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Investigation of relative risk estimates from studies of the same population with contrasting response rates and designs

TL;DR: These findings show that for a broad range of risk factors, two studies of the same population with varying response rate, sampling frame and mode of questionnaire administration yielded consistent estimates of exposure-outcome relationships, however, ORs varied between the studies where they did not use identical questionnaire items.
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Unsociable Work? Nonstandard Work Schedules, Family Relationships, and Children’s Well‐Being

TL;DR: The authors found that parents working non-standard schedules reported worse family functioning, more depressive symptoms, and less effective parenting, and their children were also more likely to have social and emotional difficulties.
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Risk Factors for Sudden Infant Death Syndrome Following the Prevention Campaign in New Zealand: A Prospective Study

TL;DR: Breastfeeding did not appear to offer a statistically significant reduction in SIDS risk after adjustment of potential confounders, but as breastfeeding rates are comparatively good in New Zealand, this result should be interpreted with caution as the power of this study to detect a benefit is small.
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Prostate cancer screening in men aged 50-69 years (STHLM3): a prospective population-based diagnostic study.

TL;DR: The STHLM3 model could reduce unnecessary biopsies without compromising the ability to diagnose prostate cancer with a Gleason score of at least 7, and could be a step towards personalised risk-based prostate cancer diagnostic programmes.