Epidemiology

eLife assessment

This study provides important estimates from international cancer screening data repository about the impact of the COVID-pandemic related disruptions on cancer screening programs in selected low- and middle-income countries. The evidence supporting the study is solid and relies on national-level screening program attendee volumes and assessments of screen positives during 2019 (pre-pandemic) and 2020 (during the pandemic). The study provides real-world data estimates of proportions/volumes of missed screenings due to pandemic control measures (lockdowns and closures) and may contribute to future modelling efforts for measuring the impact on late/advanced stage detection and excess case burden and mortality.

eLife assessment

This study provides an important demonstration that loneliness is associated with smaller hippocampal volume, reduced cortical thickness, and worse cognition in healthy older adults. This has theoretical or practical implications beyond a single subfield. The strength of evidence is solid given the cross-sectional and longitudinal design with a few weaknesses. With the analytical and interpretational part strengthened, this paper would be of interest to gerontologists, and dementia/cognitive aging researchers.

eLife assessment

This important study presents a machine learning-based classifier that can accurately determine the geographic origin of a Salmonella enterica sample from its whole-genome sequencing data in under five minutes leading to actionable public health insights. Applying the method to 2,313 whole genome sequences collected in the United Kingdom and several external validation datasets, the authors provide convincing evidence that Salmonella genomic data can be used to identify the likely geographic source of a food-borne outbreak and, in most cases, correctly identify the country of origin of an infection acquired overseas. The work presents an excellent case for the potential utility of routine genomics coupled with machine learning for public health microbiology and the methods are likely to be applicable to other pathogens besides Salmonella enterica.

eLife assessment

This convincing work reviews and synthesizes evidence of the impact of the COVID-19 pandemic on a variety of cancer outcomes. The results have potentially useful implications for various fields of cancer research as they review evidence spanning from cancer prevention efforts to changes in diagnoses and cancer treatment modalities.

eLife assessment

This important study examines the association between SARS-CoV-2 infection and close contact among household members, measured using proximity sensors deployed after the first case was identified in the household. The authors provide solid evidence that transmission of SARS-CoV-2 within households is not dependent upon close contact, but the study suffers from a number of limitations that are fully acknowledged.

eLife assessment

This study presents important results on the predicted impact of cancer screening disruptions in Australia during the COVID-19 pandemic based on consultation with public health stakeholders. The evidence presented is solid, as simulations were based on several previously validated breast, cervical, and bowel cancer screening decision models, though the scenarios were based on hypothetical disruptions that do not always match experienced disruptions. The work will be of interest to local policy-makers, public health specialists, and cancer epidemiologists.

eLife assessment

This potentially important study examines brain age based on resting state functional connectivity (RSFC) following an 18-month lifestyle intervention. The design of the intervention study is generally solid; the randomized controlled trial includes three intervention groups and assessments at two-time points of numerous health markers, however, the methodology for brain age prediction appears somewhat incomplete and would benefit from more rigorous approaches. The lack of control groups also prevents firm conclusions about the extent to which the observed RSFC changes are linked to the intervention. With these parts strengthened, the paper would be of broad interest to neuroscientists and biologists working on obesity, lifestyle interventions, and brain health.

eLife assessment

The authors have used an extensive database to study associations between biphosphanate use and COVID-19. Using careful statistical analyses biphosphonate use appeared strongly associated with a lower risk of COVID-19. If these findings are confirmed in well-designed prospective studies biphosphanate use could be an attractive drug to prevent COVID-19.

eLife assessment

This important study presents the idea of "Skeletal Age", defined as the age of one's skeleton as a consequence of fragility fracture, as a potential new tool to raise awareness about the increased risk of mortality following a fracture (particularly hip fractures) and thus improve the medical management of osteoporosis. The evidence is convincing and is derived from a very large database from the Danish National Hospital Discharge Registry. The proposed approach might represent a starting point for making doctor-patient communication about the health risks of an osteoporotic fracture more intuitive and possibly more effective.

eLife assessment

The authors have combined their two recently developed novel approaches to Mendelian randomization studies (1) Lifecourse mendelian randomization which relates genes to the outcome, eg obesity, at different stages of life, and (2) Tissue partitioned mendelian randomization to determine if there are different genetic effects in different tissues. They have successfully combined these two approaches to investigate the influence of adiposity on circulating leptin in childhood and adulthood to demonstrate the value/proof of concept of combining these two techniques. This is very clearly presented and well-conducted work showing both new methodology and compelling results and will be important to both those who use Mendelian randomization and those who are interested in obesity.