Sentences with phrase «subgroup analyses by»

The post-hoc subgroup analyses by sex and baseline triglyceride levels did not show significant effects.

Although the results of the meta - regression showed no evidence of significant heterogeneity between subgroups, summary association estimates were slightly different in subgroup analyses by study design and exposure assessment.

We had planned to carry out formal subgroup analysis by whether support was proactive or reactive, but due to the fact that most interventions included at least one scheduled contact (proactive), we did not think that this way of categorising studies would shed light on types of interventions that were effective or ineffective.

The results of a metaanalysis of observational studies, with subgroup analysis by sex, presented that shift work was associated with greater diabetes risk in men (107).

On the basis of a metaanalysis of cohort studies with subgroup analysis by sex, both active and passive smoking is related to higher risk of developing T2DM in both men and women without known prominent sex differences (134).

Not exact matches

In the subgroup analysis stratified by parity, there was an increased incidence of the primary outcome for nulliparous women in the planned home birth group (weighted incidence 9.3 per 1000 births, 95 % confidence interval 6.5 to 13.1) compared with the obstetric unit group (weighted incidence 5.3, 3.9 to 7.3).

The subgroup analysis «by whether babies were twins or higher order multiples» was added to the planned analyses.

If we identified substantial heterogeneity (above 30 %), we planned to explore it by pre-specified subgroup analysis.

In the subgroup analysis in which we excluded women whose labour was induced by outpatient administration of prostaglandins, amniotomy or both (118 [4.1 %] of women in the home - birth group, 344 [7.2 %] of those who planned a midwife - attended hospital birth and 778 [14.6 %] of those who planned a physician - attended hospital birth), the relative risks of obstetric interventions and adverse maternal and neonatal outcomes did not change significantly.

If we identified substantial heterogeneity (above 30 %), we planned to explore it by prespecified subgroup analysis.

We conducted the planned subgroup analyses to investigate the effects of greater continuity in caseload models, variations in maternal risk status and of less medicalised environments provided by community settings.

For cessation of exclusive breastfeeding at up to six months the treatment effect appears to be greater when the intervention was delivered by non-professionals (lay support) compared with professionals or mixed support (test for subgroup differences: Chi ² = 7.74, df = 2 (P = 0.02), I ² = 73.1 %; Analysis 2.2).

(By including people who had vascular disease, the Lancet meta - analysis overestimated statins» benefits: a subgroup analysis reveals that among people who did not have vascular disease, statins only reduced the absolute risk of a cardiovascular event by 0.4 percent per yearBy including people who had vascular disease, the Lancet meta - analysis overestimated statins» benefits: a subgroup analysis reveals that among people who did not have vascular disease, statins only reduced the absolute risk of a cardiovascular event by 0.4 percent per yearby 0.4 percent per year.)

You may also want to take a step back from your main findings by examining them in subgroups and anticipating reviewers» skepticism by presenting experiments, data analysis, or statistical models that quash errant disbelief.

The analysis calculated rates of vaginal birth of a healthy singleton at term in natural and assisted reproduction conception comparing women in the intervention (lifestyle modification) group and those in the control (prompt treatment) group according to six different subgroups: these subgroups were defined by age (over or under 36 years), cycle regularity (ovulatory or anovulatory) and body weight (above or below a BMI of 35 kg / m2).

«By combining the genetic analysis of a small population of immune cells from healthy skin with functional experiments we were able to define two subgroups of memory immune cell and in detail decipher / dissect how these cells behave in healthy and inflamed skin,» explains Liv Eidsmo, researcher at Karolinska Institutet's Department of Medicine.

«Further analysis of this cohort revealed that disease - free survival increased by 46 % among the subgroup of nut consumers who ate tree nuts rather than peanuts,» said Charles S. Fuchs, M.D., M.P.H., director of Yale Cancer Center and senior author of the study.

A subgroup analysis of the women who did not take their own calcium supplements revealed that supplementing as part of the trial did reduce hip fracture risk by 30 percent.

Subgroup analyses showed trends or significant overall survival improvements for all subgroups measured, including by disease stage, ECOG score, age, and other factors.

Additional analyses favor the hypothesis that MEIS1 exhibits pleiotropy for insomnia and RLS and show that the observed association with insomnia complaints can not be explained only by the presence of an RLS subgroup within the cases.

We also performed subgroup meta - analyses by type of prevention (primary v secondary: in this study, trials involving healthy populations or patients with any specific disease except for cardiovascular disease were classified as primary prevention trials, and trials involving patients with cardiovascular disease were classified as secondary prevention trials), type of supplement by quality and dose (each supplement, vitamins only, antioxidants only, or antioxidants excluding vitamins), type of outcome (cardiovascular death, angina, fatal or non-fatal myocardial infarction, stroke, or transient ischaemic attack), type of outcome in each supplement, type of study design (randomised, double blind, placebo controlled trial v open label, randomised controlled trial), methodological quality (high v low), duration of treatment (< 5 years v ≥ 5 years), funding source (pharmaceutical industry v independent organisation), provider of supplements (pharmaceutical industry v not pharmaceutical industry), type of control (placebo v no placebo), number of participants (≥ 10000 v < 10000), and supplements given singly or in combination with other vitamin or antioxidant supplements by quality.

However, in subgroup analyses stratified by age, we found that the deletion allele was associated with increased risk for lung cancer among individuals < 50 years of age (OR 2.17, CI 1.19 - 3.97), and that the association was gradually reduced with increasing age (p = 0.01).

There were also no clear differences in the association between statin use and outcomes in analyses stratified by age older or younger than 55, 60, 65, or 70 years, with very similar estimates from 7 trials (eTable 6 in the Supplement).14, 19,20,26,29,31,35 None of the trials that enrolled patients older than 75 years18, 20,22,23,27,29 reported results in this subgroup.

Additionally, whereas the BioCycle Study had greater racial diversity than comparable studies (3 — 6), our study was limited by different sample sizes among the racial groups, which may have limited our power to detect significant differences in some of our subgroup analyses.

Umbrella reviews systematically search, organise, and evaluate existing evidence from multiple systematic reviews and / or meta - analyses on all health outcomes associated with a particular exposure.11 We conducted a review of coffee consumption and multiple health outcomes by systematically searching for meta - analyses in which coffee consumption was all or part of the exposure of interest or where coffee consumption had been part of a subgroup analysis.

This was the conclusion, for instance, of a 2008 article by Chris Gardner and his colleagues at Stanford, reporting on a subgroup analysis of their famous A to Z study.

The observed age - related effect may have been a statistical artifact driven by subgroup analysis.

Our ability to conduct these subgroup analyses is further constrained by the relative homogeneity of the students in our sample, with most being white and in advanced classes.

Because the statistical power of this experiment is driven by the number of school groups, not the number of individual students, we are unable to conduct subgroup analyses to reveal how seeing a play may differently affect subsets of students.

Using the NLSLSASD's standardized testing results by subgroup, the analysis illuminates the potential role of school isolation in student test score performance.1

The federal government is permitting many schools to escape accountability for the progress of racial or ethnic subgroups under the No Child Left Behind Act, according to a computer analysis released by the Associated Press last week.

At a minimum, discipline reports should include data on all significant disciplinary actions that list types of infractions (with specific and standardized definitions), track instructional time missed, and allow cross-tabulation and analysis of data by subgroup.

We found, however, that by conducting a subgroup analysis that excluded all dogs that died of cancer, the strong association between intact ovaries and exceptional longevity persisted.

Four a priori analyses were undertaken comparing outcomes for the hypothesised subgroups using 2 × 2 factorial ANOVA to assess main (intervention vs comparison group) effects and interaction (intervention by subgroup effects for mothers who were Australian - born vs overseas - born, first - time vs multiparous, had one vs multiple risk factors, and scored EDS ≥ 10 (antenatal psychosocial distress) vs EDS < 10), while maintaining the power of the whole sample.

If possible, additional analyses will be conducted by subgroup (eg, gender), intervention intensity, intervention duration and length of follow - up.

This paper presents the results of an exploratory analysis that examines whether SHM program impacts vary by six subgroup - defining characteristics.

The nature of significant interaction effects was determined by examining the main effects of sample status separately for the different levels of the moderator in GLM analyses of covariance, to statistically test the sample differences within the subgroups.