Swedish Trials Research Articles

Publication bias, time-lag bias, and place-of-publication bias in social intervention research: An exploratory study of 527 Swedish articles published between 1990-2019.

Publication and related biases constitute serious threats to the validity of research synthesis. If research syntheses are based on a biased selection of the available research, there is an increased risk of producing misleading results. The purpose fo this study is to explore the extent of positive outcome bias, time-lag bias, and place-of-publication bias in published research on the effects of psychological, social, and behavioral interventions. The results are based on 527 Swedish outcome trials published in peer-reviewed journals between 1990 and 2019. We found no difference in the number of studies reporting significant compared to non-significant findings or in the number of studies reporting strong effect sizes in the published literature. We found no evidence of time-lag bias or place-of-publication bias in our results. The average reported effect size remained constant over time as did the proportion of studies reporting significant effects.

Method for in-field texture analysis of sugar beet roots using a handheld penetrometer

ABSTRACT Methodology for analysing textural properties of sugar beet roots in the laboratory has previously been established. It has been shown to be reliable and of value in exploring relationships between textural properties, damage rates, and storability of varieties. In this paper, a methodology for the assessment of textural properties in-field, prior to harvest, using an inexpensive handheld penetrometer is examined. Three sugar beet varieties were grown in Belgium, the Netherlands, and Sweden during 2019. Textural properties were assessed in-field with the handheld penetrometer 2, 1 and 0 months prior to harvest, and with the laboratory penetrometer directly after harvest. Comparison of the results showed generally strong correlations. A power analysis suggests a difference in mean Handheld Pressure of 0.10 MPa could be found significant within a large trial with a block design. The reliability of the handheld penetrometer was further assessed in the Swedish national variety trials over three years (2019-2021). Correlation coefficients of 0.86 and 0.94 were found between mean Handheld Pressure for 2019 and 2020, and 2020 and 2021 respectively. The handheld penetrometer can be applied as an economic means of quantifying differences in textural properties of sugar beet varieties. Clear operating procedure and training must exist.

Extraterritorial Justice: Can Swedish Trials Provide Remedies to Victims of Atrocity Crimes?

ABSTRACT Accountability for serious human rights violations and atrocity crimes has established itself at the top of the international community’s legal agenda, not least to serve justice to the victims of the crimes. Efforts to refer the atrocities in Syria to the permanent International Criminal Court have been in vain, highlighting the need for third states exercising extra-territorial jurisdiction. Sweden has answered the call to investigate the crimes, and the strong position afforded to victims of crime in the Swedish criminal justice system suggests that it is well-suited to provide them the justice they are entitled to. This article draws on the experiences gained in the seven trials to date in which victims have participated, to assess the extent to which international legal obligations towards the victims are implemented and were accessible to the victims. Through analysis of legal documents and interviews, the author demonstrates that, while the Swedish system has been fulfilling a wide range of international legal obligations towards victims of crime, the remoteness in time and place, the large number of victims involved and other specifics of the investigations and trials, challenge several central aspects of the Swedish system, such as the right to information, support and reparation.

The Impact of Drought Stress on the Height Growth of Young Norway Spruce Full-Sib and Half-Sib Clonal Trials in Sweden and Finland

The summer drought of 2018 was one of the most climatically severe events in Europe that led to record-breaking temperatures and wildfires in many parts of Europe. The main objective of this study was to assess the impact of the 2018 drought on the phenotypic and genetic response of Norway spruce height growth using the Standardized Precipitation-Evapotranspiration Index (SPEI). To achieve this, the total cumulative height growth of about 6000 clones from 2016 to 2019 in four full-sib trials in Sweden, aged 6–7 years, and from 2017 to 2019 in two half-sib trials in Finland, aged 8–9 years, were measured. The results indicate that the 2018 drought caused reductions in the increment of trees. Although heritability estimates were similar to other reports for Norway spruce, the additive genetic variance was highly inflated in one of the visibly drought-damaged trials in Southern Sweden. Similarly, the genotype by environment (G × E) interaction was highly significant in the drought-damaged Southern Swedish trials. Both additive genetic and phenotypic correlations obtained between height increments in 2019 and final heights were the weakest in all studied trials, implying that the drought legacies might have influenced the recovery of trees in 2019. We may conclude that the severe drought can be an underlying factor for a strong G × E interaction and changes in the ranking of genotypes. Therefore, a selection of drought-resistant genotypes with a good growth capacity tested in variables sites should be considered as an important criterion for future breeding of Norway spruce.

Projecting results of zoned multi-environment trials to new locations using environmental covariates with random coefficient models: accuracy and precision

Key messageWe propose the utilisation of environmental covariates in random coefficient models to predict the genotype performances in new locations.Multi-environment trials (MET) are conducted to assess the performance of a set of genotypes in a target population of environments. From a grower’s perspective, MET results must provide high accuracy and precision for predictions of genotype performance in new locations, i.e. the grower’s locations, which hardly ever coincide with the locations at which the trials were conducted. Linear mixed modelling can provide predictions for new locations. Moreover, the precision of the predictions is of primary concern and should be assessed. Besides, the precision can be improved when auxiliary information is available to characterize the targeted locations. Thus, in this study, we demonstrate the benefit of using environmental information (covariates) for predicting genotype performance in some new locations for Swedish winter wheat official trials. Swedish MET locations can be stratified into zones, allowing borrowing information between zones when best linear unbiased prediction (BLUP) is used. To account for correlations between zones, as well as for intercepts and slopes for the regression on covariates, we fitted random coefficient (RC) models. The results showed that the RC model with appropriate covariate scaling and model for covariate terms improved the precision of predictions of genotypic performance for new locations. The prediction accuracy of the RC model was competitive compared to the model without covariates. The RC model reduced the standard errors of predictions for individual genotypes and standard errors of predictions of genotype differences in new locations by 30–38% and 12–40%, respectively.

Competition effects in breeding value prediction of forest trees

Competition is a concern for tree breeding because of its potential to reduce the genetic gain. Competition, if not accounted for in the analytical model, can potentially introduce a source of bias in genetic parameter estimation and breeding value prediction. This study modelled competition between trees in 20 Swedish progeny trials of Norway spruce (Picea abies (L.) Karst.), Scots pine (Pinus sylvestris L.), and lodgepole pine (Pinus contorta Douglas ex Loudon). The competition model assumed a tree has a direct additive genetic effect, which affects the tree’s own phenotype, and an indirect additive effect, which affects the phenotypes of its neighbours. Genetic parameters were estimated via a factor analytic structure in which separate indirect effects were considered for each neighbour, or via a combined indirect effect approach. We analysed diameter, as it is the trait that can be expected to be affected most by competition. Competition at the genetic level was detected in 17 of the 20 trials analysed. In most cases, the ratio of indirect to direct additive variance was less than 20% and no major changes in ranking resulted. At this stage, there is little incentive to incorporate indirect effects into program-wide genetic evaluation models. The added complexity is not commensurate with the benefit that would be gained.

Cross‐validation of stagewise mixed‐model analysis of Swedish variety trials with winter wheat and spring barley

AbstractIn cultivar testing, linear mixed models have been used routinely to analyze multienvironment trials. A single‐stage analysis is considered as the gold standard, whereas two‐stage analysis produces similar results when a fully efficient weighting method is used, namely when the full variance–covariance matrix of the estimated means from Stage 1 is forwarded to Stage 2. However, in practice, this may be hard to do and a diagonal approximation is often used. We conducted a cross‐validation with data from Swedish cultivar trials on winter wheat (Triticum aestivum L.) and spring barley (Hordeum vulgare L.) to assess the performance of single‐stage and two‐stage analyses. The fully efficient method and two diagonal approximation methods were used for weighting in the two‐stage analyses. In Sweden, cultivar recommendation is delineated by zones (regions), not individual locations. We demonstrate the use of best linear unbiased prediction (BLUP) for cultivar effects per zone, which exploits correlations between zones and thus allows information to be borrowed across zones. Complex variance–covariance structures were applied to allow for heterogeneity of cultivar × zone variance. The single‐stage analysis and the three weighted two‐stage analyses all performed similarly. Loss of information caused by a diagonal approximation of the variance–covariance matrix of adjusted means from Stage 1 was negligible. As expected, BLUP outperformed best linear unbiased estimation. Complex variance–covariance structures were dispensable. To our knowledge, this study is the first to use cross‐validation for comparing single‐stage analyses with stagewise analyses.

The Swedish Drug-elution Trials in Peripheral Arterial Disease (Swedepad) – An Update Halfway Through the Overall Inclusion Phase

The Swedish Drug-elution Trials in Peripheral Arterial Disease (Swedepad) – An Update Halfway Through the Overall Inclusion Phase

Increased Prediction Ability in Norway Spruce Trials Using a Marker X Environment Interaction and Non-Additive Genomic Selection Model.

A genomic selection study of growth and wood quality traits is reported based on control-pollinated Norway spruce families established in 2 Northern Swedish trials at 2 locations using exome capture as a genotyping platform. Nonadditive effects including dominance and first-order epistatic interactions (including additive-by-additive, dominance-by-dominance, and additive-by-dominance) and marker-by-environment interaction (M×E) effects were dissected in genomic and phenotypic selection models. Genomic selection models partitioned additive and nonadditive genetic variances more precisely than pedigree-based models. In addition, predictive ability in GS was substantially increased by including dominance and slightly increased by including M×E effects when these effects are significant. For velocity, response to genomic selection per year increased up to 78.9/80.8%, 86.9/82.9%, and 91.3/88.2% compared with response to phenotypic selection per year when genomic selection was based on 1) main marker effects (M), 2) M + M×E effects (A), and 3) A + dominance effects (AD) for sites 1 and 2, respectively. This indicates that including M×E and dominance effects not only improves genetic parameter estimates but also when they are significant may improve the genetic gain. For tree height, Pilodyn, and modulus of elasticity (MOE), response to genomic selection per year improved up to 68.9%, 91.3%, and 92.6% compared with response to phenotypic selection per year, respectively.Subject Area: Quantitative genetics and Mendelian inheritance

Representation of Ethnic Minorities in Swedish Clinical Cancer Trials: A Qualitative Study of Physicians’ Experiences

International literature shows ethnic minorities and immigrants being underrepresented in clinical trials. This compromises the generalizability of the results and distributes the benefits of participating unequally. This problem is unexplored in Sweden. Therefore, this explorative qualitative study examines the barriers Swedish physicians encounter, the strategies they use to prevent and circumvent the issue, and the attitudes and perceptions they have. We found that physicians do encounter ethnic minority patients that they exclude from participation in clinical cancer trials. This is primarily because of language barriers preventing patients from understanding participant information. Conscious strategies to counter this are lacking. A lack of translated material and strict inclusion criteria are two obstacles that can be overcome. The general conception is that this issue is uncommon and unimportant from a medical perspective, but questions of fairness have been raised. For such reasons, further discussion and research on this issue are needed.

Mammography screening: A major issue in medicine

Mammography screening: A major issue in medicine

Efficiency of using spatial analysis for Norway spruce progeny tests in Sweden

Key messageSpatial analysis could improve the accuracy of genetic analyses, as well as increasing the accuracy of predicting breeding values and genetic gain for Norway spruce trials.ContextSpatial analysis has been increasingly used in genetic evaluation of field trials in tree species. However, the efficiency of spatial analysis relative to the analysis using the conventional experimental designs or pre- and post-blocking method in Swedish genetic trials has not been systematically evaluated.AimsThis study aims to examine the effectiveness of spatial analysis in improving the accuracy of predicting breeding values and genetic gain.MethodsSpatial analysis, using separable first-order autoregressive processes of residuals in rows and columns, was used in nine types of trait classes from 145 field trials of Norway spruce (Picea abies (L.) Karst.) in Sweden.ResultsNinety-six percent of variables (traits) were converged for the spatial model. Large trials with a large block variance tend to have a larger improvement from the model of experimental design to spatial model in accuracy. Growth and Pilodyn measurement traits showed greater improvements in log likelihood, accuracy, and genetic gain. Block variance was reduced by more than 80% for trait height and diameter using spatial analysis, indicating that it is more effective using both pre-blocking and post-blocking analyses in Swedish Norway spruce trials. The prediction accuracy for diameter and height for progeny breeding values showed an increase of 3.6 and 3.4%, respectively. The improvement of efficiency for growth traits is also related to the geographical location of test sites, tree age, number of survival trees, and the spacing of the trial.ConclusionThe spatial analysis approach is more efficient in Swedish Norway spruce trials than the conventional methods using models based on the experimental design.

Male and Female Witnesses' Speech in Swedish Criminal Trials

The present quantitative study focuses on witnesses’ speech in Swedish criminal trials, more specifically on potential differences between men’s and women’s language styles. Since the 1970s, research on language and gender has been divided into three main approaches towards the relationship between men’s and women’s language use: the deficit approach, the dominance approach and the cultural approach. The present study uses the more recent dynamic approach to show how gender is acted out in each situation taking into account a number of factors, e.g. context. The aim of our work is first and foremost to study the possible correlation between the witnesses’ gender and language in the courtroom context and then to investigate if income and/or level of education provide better explanations for possible variation by looking at a broad range of linguistic variables. The results show no statistically significant gender or social status differences in the witnesses’ speech. However, when comparing the results of the testifying police officers accidentally included in the study with the rest of the witnesses, the differences turned out to be significant. This shows that, in this case, factors such as previous courtroom experience and familiarity with the context were probably more influential on the speech of the informants than gender, income and education, in conformity with the assumptions of the dynamic approach.

Offer, minna och utsatthet. Diskurser om alkohol i våldtäckts- och misshandelsmål

The alcohol consumption of female rape victims is often discussed during rape trials. This has been regarded as an emblematic example of victim blaming and the failures of the legal system in relation to rape. From a feminist perspective it can be seen as an expression of the structural subordination of women in society in general. This article investigates the meanings attached to alcohol in written court decisions in Swedish rape trials (2008-2012). Rape trials are contrasted with assault trials, where the complainants are men. Thirty court decisions from each type of trial are compared, with the same number of guilty and not-guilty verdicts. Quantitative analysis reveals that alcohol consumption is mentioned more often in rape trials, where it also appears more relevant to decision-making. The complainants’ consumption is mentioned four times more often than the defendants’ consumption. In assault decisions, the mentioning of alcohol consumption is distributed roughly equally between the parties. The analysis shows how a large proportion of the alcohol references in both rape trials and assault trials can be regarded as largely irrelevant noise. The remaining alcohol references are understood in terms of five interpretative repertoires: 1) the accuracy of memory on part of witnesses; 2) explanations of seemingly irrational behaviors; 3) vulnerability; 4) getting the victim drunk; and 5) moral character. The latter three interpretive repertoires are more common in rape decisions. As a conclusion, part of the preoccupation with rape victims’ alcohol consumption can be attributed to protectionary strategies, and should thus not be regarded as victim-blaming. However, some assessments appear to build on assumptions that information about alcohol consumption is indicative to moral character that is relevant to court decisions.

Abstract 12090: Seattle Heart Failure Model and Seattle Proportional Risk Model Together Identify Patients Most Likely to Benefit From Primary Prevention ICDs - An NCDR Analysis

Introduction: Risk models are greatly needed to target appropriate patients for implantable cardioverter defibrillators (ICDs) in clinical practice for primary prevention of sudden death. Hypothesis: We hypothesized that the Seattle Heart Failure Model (SHFM) for overall survival and the Seattle Proportional Risk Model (SPRM) for proportional risk of arrhythmic death (AD) would identify National Cardiovascular Data Registry (NCDR) ICD Registry patients most likely to have improved survival with versus without an ICD. Methods: SHFM and SPRM scores were determined for patients with and without ICDs (ICD Registry versus a control group derived from the University of Washington Registry, Italian Heart Failure Registry, Swedish Heart Failure Registry, COMET, Val-HeFT, and PRAISE trials). Multivariable Cox proportional hazards regression was used to evaluate adjusted associations of SPRM and SHFM with survival over 5 years from the Social Security Death Index. Results: Among 98,846 patients (87,914 with ICDs and 10,932 without ICDs), increasing SFHM risk was strongly associated with decreased survival (P<0.0001). Compared with patients having a lower SPRM-predicted proportional risk of AD, patients with a higher predicted proportional AD risk had approximately twice the ICD survival benefit (HR 0.602 [95% CI 0.537-0.675] for SPRM quintile 5 versus HR 0.793 [0.736-0.855] for SPRM quintile 1). The ICD-SPRM interaction was highly significant (Figure). The ICD did not improve adjusted survival versus controls in the 25% of patients with higher predicted survival (SHFM < mean) but a lower proportional AD risk (SPRM < mean) (HR 0.921, 95% CI 0.787-1.08, P=0.31); however, survival in patients with opposite findings (SHFM > mean, SPRM > mean) was greatly improved versus controls (HR 0.599, 95% CI 0.530-0.677, P<0.0001). Conclusions: The SHFM and SPRM scores together identify real-world patients most likely to benefit from primary prevention ICD implantation.

Erratum to: Quantitative PCR shows propagation of Plasmodiophora brassicae in Swedish long term field trials

Erratum to: Quantitative PCR shows propagation of Plasmodiophora brassicae in Swedish long term field trials

Quantitative PCR shows propagation of Plasmodiophora brassicae in Swedish long term field trials

Clubroot (Plasmodiophora brassicae) is a serious soil-borne disease in brassica crops world-wide. We report on a time series of soil samples from Swedish long-term fertility trials started in 1957, 1963 and 1966, which were analyzed for the amount of P. brassicae DNA. The crop rotations included a brassica crop every 4 or 6 years. All experimental sites with a 4-year rotation of oilseed rape, except one with calcium carbonate in the soil profile, showed high (>1000 fg DNA g−1 soil) levels of P. brassicae DNA after 9, 11 and 12 rotations. In contrast, detectable levels (>5 fg DNA g−1 soil) of P. brassicae were found only at one of five sites with a 6-year rotation of spring oilseed rape. In years with high levels of P. brassicae DNA, low yield was reported and a subsequent decline in P. brassicae DNA in soil was observed. Different NPK (nitrogen/phosphorus/potassium) fertiliser regimes resulted in similar P. brassicae DNA levels. The robustness and reliability of the method applied was verified by analyses of soil from individual plots compared with a mixture of plots and by repeated analyses of selected samples, which showed that P. brassicae DNA remained stable during dry storage.

Trends in Methodological Quality in Controlled Trials of Psychological and Social Interventions

Objective: There is substantial evidence that poorly designed and reported research can mislead decision making in clinical care. This review investigates the methodological quality of Swedish trials of a wide array of psychological and social interventions. Method: The review includes 302 articles published in peer-reviewed journals during 1990–2014, which evaluated a psychological or social intervention; included a randomized or nonrandomized control group with a pre–post- or pre-follow-up design; and targeted individuals in order to prevent or rehabilitate from physical, psychological, or social problems. The results are based on the information reported in the articles. Results: Overall, methodological quality increased with time. However, more recent studies contained methodological deficits. For example, few had used blinded data collectors, reported power analyses, or searched for adverse events. Conclusion: The results indicate a potential risk of biased results in both older and newer trials. Possible implications for practice and research are discussed.

Genetic evaluation of behaviour in dogs

A dog's behavioural characteristics are important for the dog, for the dog owner and for society as a whole. Behavioural traits can be changed by breeding, but to be effective when selecting breeding animals, good methods for measuring behaviour are essential. The aim of this thesis was to provide information on a number of dog behavioural measurement methods regarding their potential to be used for genetic evaluation: the Herding Trait Characterisation, the Swedish and Norwegian English Setter field trials, the Swedish Armed Forces temperament test, the Dog Mentality Assessment (DMA), and an extended version of the Canine Behavioral Assessment and Research Questionnaire. The aim was also to advance our understanding of factors affecting the usefulness of behavioural measurements for breeding purposes. Average heritabilities for behavioural variables (items) within measurement method ranged from 0.1 to 0.3, and the items were markedly influenced by systematic environ-mental effects. All studied measurement methods can be used for selection of breeding animals, but selection based on individual performance is suboptimal. Using BLUP breeding values would substantially increase accuracy of selection and the potential genetic progress and is therefore recommended. Rough Collie results from DMA showed strong genetic correlations with important everyday life traits as described by dog owners in the questionnaire. Therefore, in order to improve everyday life behaviour in Rough Collie, DMA breeding values for relevant traits should be used for selection. The results indicated that from a heritability perspective, behavioural measurements should be objective rather than subjective, and neutral rather than passing value judgments. Collaboration between countries within breed is also advised because a joint genetic evaluation increases the number of selection candidates, and may also increase breeding value accuracies rather dramatically, as was shown for the English Setter field trial results from Sweden and Norway. For half of the studied methods, the measured items were summarized into composite traits. Heritability estimates for composite traits were higher than the average of the items used for creating these traits. Because the composite traits also can be expected to be more stable over time and between situations, it would be advisable to use them as selection traits.

Turnover and losses of phosphorus in Swedish agricultural soils: long-term changes, leaching trends, and mitigation measures.

Transport of phosphorus (P) from agricultural fields to water bodies deteriorates water quality and causes eutrophication. To reduce P losses and optimize P use efficiency by crops, better knowledge is needed of P turnover in soil and the efficiency of best management practices (BMPs). In this review, we examined these issues using results from 10 Swedish long-term soil fertility trials and various studies on subsurface losses of P. The fertility trials are more than 50 years old and consist of two cropping systems with farmyard manure and mineral fertilizer. One major finding was that replacement of P removed by crops with fertilizer P was not sufficient to maintain soil P concentrations, determined with acid ammonium lactate extraction. The BMPs for reducing P leaching losses reviewed here included catch crops, constructed wetlands, structure liming of clay soils, and various manure application strategies. None of the eight catch crops tested reduced P leaching significantly, whereas total P loads were reduced by 36% by wetland installation, by 39 to 55% by structure liming (tested at two sites), and by 50% by incorporation of pig slurry into a clay soil instead of surface application. Trend analysis of P monitoring data since the 1980s for a number of small Swedish catchments in which various BMPs have been implemented showed no clear pattern, and both upward and downward trends were observed. However, other factors, such as weather conditions and soil type, have profound effects on P losses, which can mask the effects of BMPs.