Tag: statistics

Cancer Med. 2022 Feb 17. doi: 10.1002/cam4.4558. Online ahead of print.

ABSTRACT

INTRODUCTION: During clinical follow-up it can be difficult to identify those head and neck cancer (HNC) patients who are coping poorly and could benefit from additional support. Health-related quality of life (HRQOL) questionnaires and prompt lists provide a means by which patients can express their perceived outcomes and raise concerns. The first aim of this secondary analysis following a randomized trial was to explore which patient characteristics, at around 3 months following treatment completion (baseline), best predict HRQOL 12 months later. The second aim was to attempt to ascertain which patients were most likely to benefit from using prompt list.

METHODS: Cluster-controlled pragmatic trial data were analyzed. HRQOL was measured by the University of Washington Quality of life questionnaire (UW-QOLv4). The prompt list was the Patient Concerns Inventory (PCI-HN).

RESULTS: The trial involved 15 eligible consultants and a median (inter-quartile range) of 16 (13-26) primary HNC patients per consultant, with 140 PCI patients and 148 controls. Baseline HRQOL was the dominant predictor of 12-month HRQOL with other predictors related to social, financial, and lifestyle characteristics as well as clinical stage and treatment. Although formal statistical tests for interaction were non-significant the trend in analyses over a range of outcomes suggested that patients with worse baseline HRQOL could benefit more from the PCI-HN.

DISCUSSION: HRQOL early post-treatment is a key predictor of longer-term outcome. Measuring and using HRQOL and the PCI-HN are not only surrogates for predicting HRQOL at 15 months post-treatment, but also tools to help guide interventions.

PMID:35178880 | DOI:10.1002/cam4.4558

ACR Open Rheumatol. 2022 Feb 17. doi: 10.1002/acr2.11411. Online ahead of print.

ABSTRACT

OBJECTIVE: The study objective was to compare leukocyte telomere length (LTL) among patients with systemic lupus erythematosus (SLE) diagnosed in childhood versus adulthood.

METHODS: Data are from the Black Women’s Experiences Living with Lupus (BeWELL) study. Multivariable linear regression analyses that examined childhood diagnosis of SLE (diagnosed before 18 years of age), age, and their interaction in relationship to LTL were conducted, adjusting for a range of demographic, socioeconomic, and health-related covariates.

RESULTS: The total analytic sample size was 415. Forty participants (9.6%) were diagnosed in childhood. There was no main effect of childhood diagnosis on LTL (b = 0.007; 95% confidence interval [CI]: -0.089 to 0.103). However, the interaction between age and childhood diagnosis was significant (b = -0.008; 95% CI: -0.016 to -0.001), indicating a steeper inverse association between age and LTL among those diagnosed in childhood compared with those diagnosed in adulthood. This interaction remained statistically significant (P = 0.024) after controlling for disease duration measured dichotomously (less than 10 years vs. 10 years or more); it was marginally significant (P = 0.083) when controlling for disease duration measured continuously.

CONCLUSION: This cross-sectional analysis suggests that Black women with childhood-onset SLE may undergo accelerated LTL shortening compared with their adult-onset counterparts. This relationship persisted even after controlling for differences in SLE damage and disease duration. These findings inform research on immunosenescence mechanisms of SLE.

PMID:35178897 | DOI:10.1002/acr2.11411

Pain Pract. 2022 Feb 18. doi: 10.1111/papr.13104. Online ahead of print.

NO ABSTRACT

PMID:35178877 | DOI:10.1111/papr.13104

Andrology. 2022 Feb 17. doi: 10.1111/andr.13161. Online ahead of print.

ABSTRACT

BACKGROUND: Anogenital distance (AGD), the distance between the anus and genitals, is in rodents a well-established marker of early androgen action and has been suggested to be so in humans as well. Thus, a link between human AGD and semen quality and potentially fecundity may exist.

OBJECTIVE: The aim of this study was to assess the association between AGD and male factor infertility and among proven fertile men also time to pregnancy (TTP).

MATERIAL AND METHODS: All included men were recruited from and examined at Copenhagen University Hospital, Denmark (N=388). Men with impaired semen quality were included from infertile couples (N=128), and men with naturally conceived pregnant partners were invited to participate when their partners had their routine second trimester examination (N=260). All men underwent a physical examination, completed a questionnaire (including TTP for the fertile men), delivered a semen sample and had a blood sample drawn. The primary exposure was AGD_AS measured from the centre of the anus to the posterior base of the scrotum. Associations between AGD and fertility status as well as between AGD and TTP among the fertile men were calculated using multiple logistic regression adjusted for covariates.

RESULTS: AGD did not show a statistically significant association with fertility status. In adjusted logistic regression models, the odds of infertility per 1 cm increase in AGD_AS was 1.02 (95% CI: 0.88; 1.19). Amongst fertile men, a 1 cm increase in AGD_AS was associated with an 8% non-statistically significantly reduced odds of having a longer (>3months) TTP (adjusted OR= 0.92, 95%CI: 0.76-1.11).

CONCLUSION: Our study showed that the clinical application of AGD as a predictor of fertility and fecundity seems to be limited as no associations were observed between AGD and fertility status, nor was the decreased risk of experiencing a longer TTP with longer AGD_AS statistically significant. This article is protected by copyright. All rights reserved.

PMID:35178873 | DOI:10.1111/andr.13161

J Obstet Gynaecol Res. 2022 Feb 17. doi: 10.1111/jog.15194. Online ahead of print.

ABSTRACT

AIM: To evaluate the roles of four selected genetic variations in fetal and maternal progesterone receptor gene (PGR) and to identify women who may have higher or lower odds for spontaneous premature birth compared to the general population.

METHODS: A preliminary case-control study with two groups of pregnant women (with term and premature delivery, 218 in total) and two groups of newborns (term and preterm, 218 in total) was performed. Four single nucleotide polymorphisms (SNPs) of the progesterone receptor gene (rs1042838, rs1042839, rs10895068, and rs1942836) were genotyped.

RESULTS: There was statistically significant difference between cases and controls in the distribution of newborns’ allele frequency of minor C allele of the PGR SNP rs1942836 (p = 0.03, Fishers’ exact test) in favor of premature birth. A statistically significant difference between the frequency of the mothers’ minor T allele of rs1042838 (p = 0.005; chi-squared test) and the mothers’ minor T allele of rs1042839 (p = 0.005; chi-squared test) in favor of extremely premature birth has been found. There was a statistically significant difference between the frequency of the newborns’ minor C allele of rs1942836 (p = 0.03; chi-squared test) and newborns’ heterozygotes CT genotype of rs1942836 (p = 0.03; Fishers’ exact test) when comparing the group of term births and the group of early premature birth.

CONCLUSION: Our study suggests that patients with selected genetic variants of the progesterone receptor gene could have greater odds for premature birth compared to term birth. Replication studies with a larger population and different ethnicity are needed in order to confirm these findings.

PMID:35178856 | DOI:10.1111/jog.15194

Plant Genome. 2022 Feb 18:e20195. doi: 10.1002/tpg2.20195. Online ahead of print.

ABSTRACT

Drought and limited irrigation resources threaten agricultural sustainability in many regions of the world. Application of genomic-based breeding strategies may benefit crop variety development for these environments. Here, we provide a first report on the effect of deploying DNA marker-assisted selection (MAS) for the drought resilience quantitative trait in alfalfa (Medicago sativa L.). The goals of this study were to validate the effect of several quantitative trait loci (QTL) associated with alfalfa forage and crown-root (CR) biomass during drought and to determine their potential to improve forage yield of elite germplasm under water-limited conditions. Marker assisted selection was employed to introgress favorable or unfavorable DNA marker alleles affiliated with 10 biomass QTL into three elite backgrounds. Thirty-two populations were developed and evaluated for forage productivity over 3 yr under continuous deficit irrigation management in New Mexico, USA. Significant yield differences (ranging from -13 to 26%) were detected among some MAS-derived populations in all three elite backgrounds. Application of QTL MAS generally resulted in expected phenotypic responses within an elite genetic background that was similar to that in which the QTL were originally identified. However, relative performance of the populations varied substantially across the three genetic backgrounds. These outcomes indicate that QTL MAS can significantly affect forage productivity of elite alfalfa germplasm in drought-stressed environments. However, if biomass QTL are detected in donor germplasm that is genetically dissimilar to targeted elite populations, characterization of donor alleles may be warranted within elite backgrounds of interest to confirm their phenotypic effects prior to implementing MAS-based breeding.

PMID:35178866 | DOI:10.1002/tpg2.20195

Health Soc Care Community. 2022 Feb 17. doi: 10.1111/hsc.13753. Online ahead of print.

ABSTRACT

Intimate partner homicides are often situated within the context of domestic abuse, and although less prevalent than domestic abuse, there have been several multi-agency approaches to understanding the risk for these fatal crimes. Domestic Homicide Reviews (DHRs) were introduced in 2011 to provide information to help with assessing such risk. This paper aims to analyse DHRs in England and Wales to investigate/determine risk factors for domestic homicide following intimate partner abuse. All publicly available DHRs published between July 2011 and November 2020 where the victim and perpetrator were or had been intimate partners (N = 263) were retrieved from Community Safety Partnership websites in England and Wales. A quantitative design was used to extract data from DHRs, and descriptive and inferential statistics were generated by SPSS 26. Findings identified risk factors relating to domestic abuse, including stalking, separation, and the victim being in a new relationship. Sociodemographic risk factors included higher levels of deprivation, lower income and higher barriers to housing and services. This highlights the role of both individual and sociodemographic factors in domestic homicides, and particularly the need for greater socioeconomic security for victims of domestic abuse. In conclusion, though much of the data is in line with previous research, our analysis highlights the pivotal role of regional poverty, with comfortable socioeconomic conditions offering protection against intimate partner homicides. This research suggests important directions for future research and makes a valuable contribution to a more in-depth understanding of the relationship between domestic abuse and intimate partner homicide.

PMID:35178829 | DOI:10.1111/hsc.13753

J Cardiovasc Electrophysiol. 2022 Feb 18. doi: 10.1111/jce.15421. Online ahead of print.

ABSTRACT

BACKGROUND: Underrepresentation of females in randomized controlled trials (RCTs) limits generalizability and quality of the evidence guiding treatment of females. This study aimed to measure the sex disparities in participants’ recruitment in RCTs of atrial fibrillation (AF) and determine associated factors, and to describe the frequency of outcomes reported by sex.

METHODS: MEDLINE was searched to identify RCTs of AF published between January 1, 2011, and November 20, 2021 in 12 top tier journals. We measured the enrolment of females using the enrollment disparity difference (EDD) which is the difference between the proportion of females in the trial and the proportion of females with AF in the underlying general population (obtained from the Global Burden of Disease). Random-effects meta-analyses of the EDD were performed, and multivariable meta-regression was used to explore factors associated with disparity estimates. We also determined the proportion of trials that included sex-stratified results.

RESULTS: Out of 1133 records screened, 142 trials were included, reporting on a total of 133,532 participants. The random-effects summary EDD was -0.125 (95% CI, -0.143 to -0.108), indicating that females were under-enrolled by 12.5 percentage points. Female enrolment was higher in trials with higher sample size (<250 vs >750, adjusted odds ratio [aOR] 1.065, 95% CI: 1.008-1.125), higher mean participants’ age (aOR 1.006, 95% CI: 1.002-1.009), and lower in trials conducted in North America compared to Europe (aOR 0.945, 95% CI: 0.898-0.995). Only 36 trials (25.4%) reported outcomes by sex, and of these 29 (80.6%) performed statistical testing of the sex-by-treatment interaction.

CONCLUSION: Females remain substantially less represented in RCTs of AF, and sex-stratified reporting of primary outcomes is infrequent. These findings call for urgent action to improve sex equity in enrollment and sex-stratified outcomes’ reporting in RCTs of AF. This article is protected by copyright. All rights reserved.

PMID:35178812 | DOI:10.1111/jce.15421

Health Econ. 2022 Feb 17. doi: 10.1002/hec.4475. Online ahead of print.

ABSTRACT

When measuring preferences, discrete choice experiments (DCEs) typically assume that respondents consider all available information before making decisions. However, many respondents often only consider a subset of the choice characteristics, a heuristic called attribute non-attendance (ANA). Failure to account for ANA can bias DCE results, potentially leading to flawed policy recommendations. While conventional latent class logit models have most commonly been used to assess ANA in choices, these models are often not flexible enough to separate non-attendance from respondents’ low valuation of certain attributes, resulting in inflated rates of ANA. In this paper, we show that semi-parametric mixtures of latent class models can be used to disentangle successfully inferred non-attendance from respondent’s “weaker” taste sensitivities for certain attributes. In a DCE on the job preferences of health workers in Ethiopia, we demonstrate that such models provide more reliable estimates of inferred non-attendance than the alternative methods currently used. Moreover, since we find statistically significant variation in the rates of ANA exhibited by different health worker cadres, we highlight the need for well-defined attributes in a DCE, to ensure that ANA does not result from a weak experimental design.

PMID:35178825 | DOI:10.1002/hec.4475

Phytother Res. 2022 Feb 17. doi: 10.1002/ptr.7422. Online ahead of print.

ABSTRACT

Rheumatoid arthritis (RA) is a chronic inflammatory disease that leads to cartilage damage with mostly accompanied by metabolic disorders. This study aimed to investigate the effects of curcumin supplementation on metabolic parameters (lipid profile and glycemic indices), inflammatory factors, visfatin levels, and obesity values in women with RA. This randomized, double-blind, placebo-controlled clinical trial was conducted on 48 women with RA. The patients were treated with curcumin (500 mg once a day) or placebo for 8 weeks. Fasting blood samples, anthropometric measurements, dietary intakes, and physical activity levels of subjects were collected at baseline and the end of the study. Curcumin supplementation significantly decreased homeostatic model assessment for insulin resistance (HOMA-IR), erythrocyte sedimentation rate, serum levels of high-sensitivity C-reactive protein and triglycerides, weight, body mass index, and waist circumference of patients compared with the placebo at the end of the study (p < .05 for all). HOMA-IR and triglyceride levels significantly increased within the placebo group. Changes in fasting blood sugar, insulin, other lipids profile, and visfatin levels were not significant in any of the groups (p > .05). These results support the consumption of curcumin, as a part of an integrated approach to modulate metabolic factors, inflammation, and adiposity in women with RA.

PMID:35178811 | DOI:10.1002/ptr.7422