Event-based Archaeological Registration Principles

Jensen, Peter

doi:10.2307/j.ctt1zrvhmr.26

Cited by 9 publications

(7 citation statements)

References 102 publications

(138 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The incidence rates were low compared with the population at risk so the variability in the observed cases was assumed to follow a Poisson distribution 16. Analyses of incidence time trends were carried out using Poisson regression to estimate the annual percentage change (APC) in the incidence, with corresponding 95% CI over three time periods: 1982–1992 (representing increased CT and MRI use), 1993–2002 (representing advances in MRI) and 2003–2013 (representing substantial and increasing mobile phone use; more than 65% of the population) 17.…”

Section: Methodsmentioning

confidence: 99%

Mobile phone use and incidence of brain tumour histological types, grading or anatomical location: a population-based ecological study

Karipidis¹,

Elwood

Benke

et al. 2018

BMJ Open

View full text Add to dashboard Cite

ObjectiveSome studies have reported increasing trends in certain brain tumours and a possible link with mobile phone use has been suggested. We examined the incidence time trends of brain tumour in Australia for three distinct time periods to ascertain the influence of improved diagnostic technologies and increase in mobile phone use on the incidence of brain tumours.DesignIn a population-based ecological study, we examined trends of brain tumour over the periods 1982–1992, 1993–2002 and 2003–2013. We further compared the observed incidence during the period of substantial mobile phone use (2003–2013) with predicted (modelled) incidence for the same period by applying various relative risks, latency periods and mobile phone use scenarios.SettingNational Australian incidence registration data on primary cancers of the brain diagnosed between 1982 and 2013.Population16 825 eligible brain cancer cases aged 20–59 from all of Australia (10 083 males and 6742 females).Main outcome measuresAnnual percentage change (APC) in brain tumour incidence based on Poisson regression analysis.ResultsThe overall brain tumour rates remained stable during all three periods. There was an increase in glioblastoma during 1993–2002 (APC 2.3, 95% CI 0.8 to 3.7) which was likely due to advances in the use of MRI during that period. There were no increases in any brain tumour types, including glioma (−0.6, –1.4 to 0.2) and glioblastoma (0.8, –0.4 to 2.0), during the period of substantial mobile phone use from 2003 to 2013. During that period, there was also no increase in glioma of the temporal lobe (0.5, –1.3 to 2.3), which is the location most exposed when using a mobile phone. Predicted incidence rates were higher than the observed rates for latency periods up to 15 years.ConclusionsIn Australia, there has been no increase in any brain tumour histological type or glioma location that can be attributed to mobile phones.

show abstract

Section: Methodsmentioning

confidence: 99%

Mobile phone use and incidence of brain tumour histological types, grading or anatomical location: a population-based ecological study

Karipidis¹,

Elwood

Benke

et al. 2018

BMJ Open

View full text Add to dashboard Cite

show abstract

“…Due to their extended range of use and variations in implementations, agreement on quality assessment for medical registries is still a matter of debate [2]. In recent years, several guidelines and recommendations on registry development, implementation, operation and evaluation have been published [2,25,26]. Following a literature review, Zaletel et al defined four linked groups of “quality influencing factors”: governance; data quality; information and ethical issues; and security and privacy [15].…”

Section: Assessing the Quality Of Registry Data And Registry Resultsmentioning

confidence: 99%

The role of medical registries, potential applications and limitations

Pop

Fetică

Blaga

et al. 2019

Medicine and Pharmacy Reports

View full text Add to dashboard Cite

Medical registries provide highly reliable data, challenged hierarchically only by randomized controlled trials. Although registries have been used in several fields of medicine for more than a century and a half, their key role is frequently overlooked and poorly recognized. Medical registries have evolved from calculating basic epidemiological data (incidence, prevalence, mortality) to diverse applications in disease prevention, early diagnosis and screening programs, treatment response, health care planning, decision making and disease control programs. Implementing, maintaining and running a medical registry requires substantial effort. Developing the registry represents a complex task and is one of the major barriers in widespread use of registries. Medical registries have potential to evolve to a next generation by taking benefit from recent semantic web technology developments. This paper is aimed at providing a summary of the basic information available on medical registries and to highlight the progress and potential applications in this field.

show abstract

“…Incidence rates and their 95% confidence intervals (CIs) were estimated by Poisson regression. Directly age-standardised rates (European) were calculated using the Stata command ‘dstdize' and corresponding standardised sex rate ratios and their 95% confidence intervals were estimated ( Jensen, 1991 ). The overall survival was calculated using standard time to event analyses and the program strel (v1.2.7) was used to estimate relative survival; age- and sex-specific background mortality rates were obtained from national life tables ( Cancer Research UK, 2006 ).…”

Section: Methodsmentioning

confidence: 99%

Lymphoma incidence, survival and prevalence 2004–2014: sub-type analyses from the UK’s Haematological Malignancy Research Network

et al. 2015

View full text Add to dashboard Cite

Background:Population-based information about cancer occurrence and survival are required to inform clinical practice and research; but for most lymphomas data are lacking.Methods:Set within a socio-demographically representative UK population of nearly 4 million, lymphoma data (N=5796) are from an established patient cohort.Results:Incidence, survival (overall and relative) and prevalence estimates for >20 subtypes are presented. With few exceptions, males tended to be diagnosed at younger ages and have significantly (P<0.05) higher incidence rates. Differences were greatest at younger ages: the <15 year male/female rate ratio for all subtypes combined being 2.2 (95% CI 1.3–3.4). These gender differences impacted on prevalence; most subtype estimates being significantly (P<0.05) higher in males than females. Outcome varied widely by subtype; survival of patients with nodular lymphocyte predominant Hodgkin lymphoma approached that of the general population, whereas less than a third of those with other B-cell (e.g., mantle cell) or T-cell (e.g., peripheral-T) lymphomas survived for ≥5 years. No males/female survival differences were detected.Conclusions:Major strengths of our study include completeness of ascertainment, world-class diagnostics and generalisability. The marked variations demonstrated confirm the requirement for ‘real-world' data to inform aetiological hypotheses, health-care planning and the future monitoring of therapeutic changes.

show abstract

Event-based Archaeological Registration Principles

Cited by 9 publications

References 102 publications

Mobile phone use and incidence of brain tumour histological types, grading or anatomical location: a population-based ecological study

Mobile phone use and incidence of brain tumour histological types, grading or anatomical location: a population-based ecological study

The role of medical registries, potential applications and limitations

Lymphoma incidence, survival and prevalence 2004–2014: sub-type analyses from the UK’s Haematological Malignancy Research Network

Contact Info

Product

Resources

About