The 2021 US Preventive Services Task Force lung cancer screening eligibility criteria disproportionately exclude younger Black patients with lung cancer.

Background: The 2021 US Preventive Services Task Force (USPSTF) lung cancer screening guideline may continue to exclude many younger Black individuals who have not yet accumulated enough smoking pack-years to be eligible for screening. The objective of this study was to evaluate the proportions of Black and White patients with lung cancer, stratified by age at diagnosis, who would have been eligible for lung cancer screening.

Methods: Incident lung cancer cases among Black and White individuals aged 50-80 years with a smoking history in the Southern Community Cohort Study (SCCS) were identified for analysis.

Representation of female authors in oncology: the Indian perspective.

Background: Despite an increasing number of female oncologists, disparities persist in authorship representation of women, especially in high-impact journals.

Objective: This study aimed to investigate gender differences in authorship within select high-impact Indian oncology journals over a 5-year period, assessing trends in the gender gap.

Methods: Six high-impact Indian oncology journals were selected for analysis.

Penalized deep partially linear cox models with application to CT scans of lung cancer patients.

Lung cancer is a leading cause of cancer mortality globally, highlighting the importance of understanding its mortality risks to design effective patient-centered therapies. The National Lung Screening Trial (NLST) employed computed tomography texture analysis, which provides objective measurements of texture patterns on CT scans, to quantify the mortality risks of lung cancer patients. Partially linear Cox models have gained popularity for survival analysis by dissecting the hazard function into parametric and nonparametric components, allowing for the effective incorporation of both well-established risk factors (such as age and clinical variables) and emerging risk factors (eg, image features) within a unified framework.

Long-term Survival After Lung Cancer Resection in the National Lung Screening Trial.

Background: This study sought to evaluate the long-term survival and causes of death after surgery among patients with pathologic stage IA non-small cell lung cancer (NSCLC) in the National Lung Screening Trial (NLST).

Methods: Patients who underwent surgery and who had a diagnosis of pathologic stage IA NSCLC in the NLST were identified for analysis. The 5- and 10-year overall survival and lung cancer-specific survival, stratified by operation type, were evaluated.

Persistent race- and sex-based disparities in lung cancer screening eligibility.

Objective: To evaluate race- and sex-based disparities in lung cancer screening eligibility under the 2013 US Preventive Services Task Force, 2021 US Preventive Services Task Force, and National Comprehensive Cancer Network lung cancer screening guidelines.

Methods: Participants in the Southern Community Cohort Study with a smoking history diagnosed with lung cancer from 2002 to 2021 were identified for analysis. Differences in age at lung cancer diagnosis and smoking characteristics were evaluated among 4 groups: Black men, Black women, White men, and White women.

Recurrence After Complete Resection for Non-Small Cell Lung Cancer in the National Lung Screening Trial.

Background: The objective of this study was to evaluate patterns, predictors, and long-term outcomes of recurrent disease after complete resection for early-stage non-small cell lung cancer (NSCLC) using the National Lung Screening Trial (NLST).

Methods: The frequency of recurrence in patients with pathologic stage I-II NSCLC who underwent complete resection (lobectomy or bilobectomy) in the NLST was evaluated. Predictors of increased risk of recurrence were assessed by Fine-Gray competing risks regression.

A national analysis of open versus minimally invasive thymectomy for stage I-III thymic carcinoma.

Objectives: The oncological efficacy of minimally invasive thymectomy for thymic carcinoma is not well characterized. We compared overall survival and short-term outcomes between open and minimally invasive surgical (video-assisted thoracoscopic and robotic) approaches using the National Cancer Database.

Methods: Perioperative outcomes and overall survival of patients who underwent open versus minimally invasive thymectomy for Masaoka stage I-III thymic carcinoma from 2010 to 2015 in the National Cancer Database were evaluated using propensity score-matched analysis and multivariable Cox proportional hazards modelling.

Modeling effects of ecological factors on evolution of polygenic pesticide resistance.

Widespread use of pesticides has resulted in the evolution of resistance in many insect pests worldwide limiting their use in pest control. Effective pest and resistance management practices require understanding of the genetics of resistance and of the life history of the pest. Most models for pesticide resistance assume that resistance is monogenic, conferred by a single gene.

Neuromechanical interactions between the limbs during human locomotion: an evolutionary perspective with translation to rehabilitation.

During bipedal locomotor activities, humans use elements of quadrupedal neuronal limb control. Evolutionary constraints can help inform the historical ancestry for preservation of these core control elements support transfer of the huge body of quadrupedal non-human animal literature to human rehabilitation. In particular, this has translational applications for neurological rehabilitation after neurotrauma where interlimb coordination is lost or compromised.

Variation in the local population dynamics of the short-lived Opuntia macrorhiza (Cactaceae).

Spatiotemporal variation in demographic rates can have profound effects for population persistence, especially for dispersal-limited species living in fragmented landscapes. Long-term studies of plants in such habitats help with understanding the impacts of fragmentation on population persistence but such studies are rare. In this work, we reanalyzed demographic data from seven years of the short-lived cactus Opuntia macrorhiza var.

Frequency-dependent population dynamics: effect of sex ratio and mating system on the elasticity of population growth rate.

When vital rates depend on population structure (e.g., relative frequencies of males or females), an important question is how the long-term population growth rate λ responds to changes in rates.

Estimating the frequency of Cry1F resistance in field populations of the European corn borer (Lepidoptera: Crambidae).

Background: Transgenic corn hybrids that express toxins from Bacillus thuringiensis (Bt) have suppressed European corn borer populations and reduced the pest status of this insect throughout much of the US corn belt. A major assumption of the high-dose/refuge strategy proposed for insect resistance management and Bt corn is that the frequency of resistance alleles is low so that resistant pests surviving exposure to Bt corn will be rare.

Results: The frequency of resistance to the Cry1F Bt toxin was estimated using two different screening tools and compared with annual susceptibility monitoring based on diagnostic bioassays and LC50 and EC50 determinations.

Disturbance frequency and vertical distribution of seeds affect long-term population dynamics: a mechanistic seed bank model.

Seed banks are critically important for disturbance specialist plants because seeds of these species germinate only in disturbed soil. Disturbance and seed depth affect the survival and germination probability of seeds in the seed bank, which in turn affect population dynamics. We develop a density-dependent stochastic integral projection model to evaluate the effect of stochastic soil disturbances on plant population dynamics with an emphasis on mimicking how disturbances vertically redistribute seeds within the seed bank.

Estimating stochastic elasticities directly from longitudinal data.

The elasticities of long-run population growth rate with respect to vital rates are useful in studying selection on vital rates, and in evaluating management policy that aims to control vital rates. In temporally varying environments, elasticity is often calculated from simulations that assume a probability distribution for the environmental states. Here we develop a method to estimate elasticities directly from demographic data.

Adaptation of cutaneous stumble correction when tripping is part of the locomotor environment.

We recently showed that cutaneous reflexes evoked by stimulating the superficial peroneal (SP; innervates foot dorsum) nerve are modulated according to the level of postural threat. Context-related modulation was observed mainly in contralateral (c) responses but not in the ipsilateral responses. This lack of effect on ipsilateral (i) cutaneous reflexes might have been caused by the general nature of the whole body perturbation.

Longevity can buffer plant and animal populations against changing climatic variability.

Both means and year-to-year variances of climate variables such as temperature and precipitation are predicted to change. However, the potential impact of changing climatic variability on the fate of populations has been largely unexamined. We analyzed multiyear demographic data for 36 plant and animal species with a broad range of life histories and types of environment to ask how sensitive their long-term stochastic population growth rates are likely to be to changes in the means and standard deviations of vital rates (survival, reproduction, growth) in response to changing climate.

Time, transients and elasticity.

How does life history affects the short-term elasticities of population growth rate? We decompose short-term elasticity as a sum of (i) the effect of the perturbation in rates on the unperturbed population structure and (ii) the effect of the original vital rates on the difference in structure between the original and the perturbed population. We provide exact analytical formulas for these components. In a population at its stable stage distribution (SSD), short-term elasticity is determined mainly by the SSD and reproductive value.

Sensitivity of the population growth rate to demographic variability within and between phases of the disturbance cycle.

For species in disturbance-prone ecosystems, vital rates (survival, growth and reproduction) often vary both between and within phases of the cycle of disturbance and recovery; some of this variation is imposed by the environment, but some may represent adaptation of the life history to disturbance. Anthropogenic changes may amplify or impede these patterns of variation, and may have positive or negative effects on population growth. Using stochastic population projection matrix models, we develop stochastic elasticities (proportional derivatives of the long-run population growth rate) to gauge the population effects of three types of change in demographic variability (changes in within- and between-disturbance-phase variability and phase-specific changes).

Context-dependent modulation of interlimb cutaneous reflexes in arm muscles as a function of stability threat during walking.

Cutaneous reflexes evoked in the muscles of the arms with electrical stimulation of nerves of the foot ("interlimb reflexes") are observed during walking. These reflexes have been suggested to coordinate the actions of the legs and arms when walking is disturbed. Recently, we showed that cutaneous reflexes evoked in the leg muscles after stimulation at the foot are modulated according to the level of postural threat during walking.

Temporal autocorrelation and stochastic population growth.

How much does environmental autocorrelation matter to the growth of structured populations in real life contexts? Interannual variances in vital rates certainly do, but it has been suggested that between-year correlations may not. We present an analytical approximation to stochastic growth rate for multistate Markovian environments and show that it is accurate by testing it in two empirically based examples. We find that temporal autocorrelation has sizeable effect on growth rates of structured populations, larger in many cases than the effect of interannual variability.

Demography in an increasingly variable world.

Recent advances in stochastic demography provide unique insights into the probable effects of increasing environmental variability on population dynamics, and these insights can be substantially different compared with those from deterministic models. Stochastic variation in structured population models influences estimates of population growth rate, persistence and resilience, which ultimately can alter community composition, species interactions, distributions and harvesting. Here, we discuss how understanding these demographic consequences of environmental variation will have applications for anticipating changes in populations resulting from anthropogenic activities that affect the variance in vital rates.

Postural uncertainty leads to dynamic control of cutaneous reflexes from the foot during human walking.

Cutaneous reflexes evoked by stimulation of nerves innervating the foot are modulated in a phase-dependent manner during locomotion. The pattern of modulation of these reflexes has been suggested to indicate a functional role of cutaneous reflexes in assisting to maintain stability during walking. We hypothesized that if cutaneous reflexes assist in maintaining stability during gait, then these reflexes should be modulated in a context-dependent manner when subjects are asked to walk in an environment in which stability is challenged.

Elasticities in variable environments: properties and implications.

Elasticities in stochastic matrix models are used to understand both population and evolutionary dynamics. We examine three such elasticities: stochastic elasticity E(ij)(S) with respect to the (i, j) matrix element, the elasticity E(ij)(S mu) with respect to the mean mu(ij) of the matrix element, and the elasticity E(ij)(S sigma) with respect to the variability sigma(ij) of the matrix element. We show that the stochastic elasticity E(S) does not accurately describe the effect of variability; one should use E(S sigma) and E(S mu).