bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interventions to Reduce Lung Cancer and COPD-Related Stigma: A Systematic Review
Authors: Yamazaki-Tan Julia , Harrison Nathan J , Marshall Henry , Gartner Coral , Runge Catherine E , Morphett Kylie 
Published: August 2024

Abstract

Background
Many individuals with lung cancer and chronic obstructive pulmonary disease (COPD) experience high levels of stigma, which is associated with psychological distress and delayed help-seeking.

Purpose
To identify interventions aimed at reducing the stigma of lung cancer or COPD and to synthesize evidence on their efficacy.

Methods
A systematic review was conducted by searching PubMed, Scopus, PsycINFO, and CINAHL for relevant records until March 1, 2024. Studies were eligible if they described an intervention designed to reduce internalized or external stigma associated with COPD or lung cancer and excluded if they did not report empirical findings.

Results
We identified 476 papers, 11 of which were eligible for inclusion. Interventions included educational materials, guided behavior change programs, and psychotherapeutic approaches. Interventions targeted people diagnosed with, or at high risk of developing COPD or lung cancer or clinical staff. No interventions that aimed to reduce stigma associated with lung cancer or COPD in the general community were identified. Most interventions yielded a statistically significant reduction in at least one measure of stigma or a decrease in qualitatively reported stigma.

Conclusions
The emerging literature on interventions to reduce stigma associated with lung cancer and COPD suggests that such interventions can reduce internalized stigma, but larger evaluations using randomized controlled trials are needed. Most studies were in the pilot stage and required further evaluation. Research is needed on campaigns and interventions to reduce stigma at the societal level to reduce exposure to external stigma amongst those with COPD and lung cancer.
Clinical Research Reporting Paradigms May Incompletely Describe Participant Identities
Authors: Enache Oana M. , Rosas Lisa Goldman , Rose Sherri 
Published: August 2024

Abstract
Reporting of participants’ baseline characteristics in clinical research is important for understanding a given study’s context and typically occurs in a tabular format. However, this format incompletely and ambiguously describes included participants, as their identities are more fully represented by an intersecting set of sociodemographic characteristics rather than discrete characteristics in a table. Standard tabular reporting practices therefore introduce limitations in assessing a study’s representativeness as well as its internal validity and external validity. To address this, we propose the addition of a simple graph that more clearly shows the joint distribution of baseline sociodemographic characteristics in a given study. We also discuss several practical considerations for the implementation of such graphs in the communication of clinical research.
Analyses using multiple imputation need to consider missing data in auxiliary variables
Authors: Madley-Dowd Paul , Curnow Elinor , Hughes Rachael A , Cornish Rosie P , Tilling Kate , Heron Jon 
Published: August 2024

Abstract
Auxiliary variables are used in multiple imputation (MI) to reduce bias and increase efficiency. These variables may often themselves be incomplete. We explored how missing data in auxiliary variables influenced estimates obtained from MI. We implemented a simulation study with 3 different missing data mechanisms for the outcome. We then examined the impact of increasing proportions of missing data and different missingness mechanisms for the auxiliary variable on bias of an unadjusted linear regression coefficient and the fraction of missing information. We illustrate our findings with an applied example in the Avon Longitudinal Study of Parents and Children. We found that where complete records analyses were biased, increasing proportions of missing data in auxiliary variables, under any missing data mechanism, reduced the ability of MI including the auxiliary variable to mitigate this bias. Where there was no bias in the complete records analysis, inclusion of a missing not at random auxiliary variable in MI introduced bias of potentially important magnitude (up to 17% of the effect size in our simulation). Careful consideration of the quantity and nature of missing data in auxiliary variables needs to be made when selecting them for use in MI models.
Assessing the Certainty of the Evidence in Systematic Reviews: Importance, Process, and Use
Authors: Brignardello-Petersen Romina , Guyatt Gordon H 
Published: August 2024

Abstract
When interpreting results and drawing conclusions, authors of systematic reviews should consider the limitations of the evidence included in their review. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach provides a framework for the explicit consideration of the limitations of the evidence included in a systematic review, and for incorporating this assessment into the conclusions. Assessments of certainty of evidence are a methodological expectation of systematic reviews. The certainty of the evidence is specific to each outcome in a systematic review, and can be rated as high, moderate, low, or very low. Because it will have an important impact, before conducting certainty of evidence, reviewers must clarify the intent of their question: are they interested in causation or association. Serious concerns regarding limitations in the study design, inconsistency, imprecision, indirectness, and publication bias can decrease the certainty of the evidence. Using an example, this article describes and illustrates the importance and the steps for assessing the certainty of evidence and drawing accurate conclusions in a systematic review.
Effects of Breast Cancer Treatment on Neural Noise: a Longitudinal Design
Authors: Melara Robert D , Root James C , Edelman Jay A , Estelle Maria Camilla , Mohr Isabella , Ahles Tim A 
Published: August 2024

Abstract

Objective
Cognitive dysfunction has been observed consistently in a subset of breast cancer survivors. Yet the precise neurophysiological origins of cancer-related cognitive decline remain unknown. The current study assessed neural noise (1/f activity in electroencephalogram [EEG]) in breast cancer survivors as a potential contributor to observed cognitive dysfunction from pre- to post-treatment.

Methods
We measured EEG in a longitudinal design during performance of the paired-click task and the revised Attention Network Test (ANT-R) to investigate pre- versus post-treatment effects of neural noise in breast cancer patients (n = 20 in paired click; n = 19 in ANT-R) compared with healthy controls (n = 32 in paired click; n = 29 in ANT-R).

Results
In both paradigms, one sensory (paired click) and one cognitive (ANT-R), we found that neural noise was significantly elevated after treatment in patients, remaining constant from pretest to posttest in controls. In the ANT-R, patients responded more slowly than controls on invalid cuing trials. Increased neural noise was associated with poorer alerting and poorer inhibitory control of attention (as measured by behavioral network scores), particularly for patients after treatment.

Conclusions
The current study is the first to show a deleterious effect of breast cancer and/or cancer treatment on neural noise, pointing to alterations in the relative balance of excitatory and inhibitory synaptic inputs, while also suggesting promising approaches for cognitive rehabilitation.
Breathwork-induced psychedelic experiences modulate neural dynamics
Authors: Lewis-Healey Evan , Tagliazucchi Enzo , Canales-Johnson Andres , Bekinschtein Tristan A 
Published: August 2024

Abstract
Breathwork is an understudied school of practices involving intentional respiratory modulation to induce an altered state of consciousness (ASC). We simultaneously investigate the phenomenological and neural dynamics of breathwork by combining Temporal Experience Tracing, a quantitative methodology that preserves the temporal dynamics of subjective experience, with low-density portable EEG devices. Fourteen novice participants completed a course of up to 28 breathwork sessions—of 20, 40, or 60 min—in 28 days, yielding a neurophenomenological dataset of 301 breathwork sessions. Using hypothesis-driven and data-driven approaches, we found that “psychedelic-like” subjective experiences were associated with increased neural Lempel-Ziv complexity during breathwork. Exploratory analyses showed that the aperiodic exponent of the power spectral density—but not oscillatory alpha power—yielded similar neurophenomenological associations. Non-linear neural features, like complexity and the aperiodic exponent, neurally map both a multidimensional data-driven composite of positive experiences, and hypothesis-driven aspects of psychedelic-like experience states such as high bliss.
Kidney effects of triple CFTR modulator therapy in people with cystic fibrosis
Authors: Gabai Pierre , Novel-Catin Etienne , Reynaud Quitterie , Nove-Josserand Raphaële , Pelletier Solenne , Fouque Denis , Koppe Laetitia , Durieu Isabelle 
Published: August 2024

ABSTRACT

Background
Elexacaftor/tezacaftor/ivacaftor (ETI) is a new cystic fibrosis transmembrane conductance regulator (CFTR) modulator that has transformed the respiratory prognosis of people with cystic fibrosis (pwCF). However, its impact on other organs such as the kidneys, where CFTR is expressed, remains unclear. Since pwCF are risk of both kidney disease and urolithiasis, we aimed to study the potential effects of ETI on renal function, volume status, and risk factors for urolithiasis.

Methods
This prospective, observational, single-center, before–after cohort study, involved adult pwCF eligible for ETI. The changes in plasma and urinary profiles were assessed by comparing renal function (using 2021 CKD-EPIcreatinine and 2021 CKD-EPIcreatinine-cystatin C formulas), volume status (using aldosterone/renin ratio and blood pressure), and risk factors for urolithiasis, at the time of ETI introduction (M0) and 7 months after (M7).

Results
Nineteen pwCF were included. No significant change in renal function was observed between M0 and M7 (2021 CKD-EPIcreatinine: 105.5 ml/min/1.73 m² at M0 vs. 103.3 ml/min/1.73 m² at M7; P = .17). There was a significant reduction in aldosterone level (370.3 pmol/l at M0 vs. 232.4 pmol/l at M7; P = .02) and aldosterone/renin ratio (33.6 at M0 vs. 21.8 at M7; P = .03). Among the risk factors for urolithiasis, a significant reduction in magnesuria level was found (4.6 mmol/d at M0 vs. 3.8 mmol/d at M7; P = .01).

Conclusion
These findings suggest that ETI seem to have no short-term impact on the renal function of adult pwCF and appears to correct secondary hyperaldosteronism due to excessive sweat losses. Further investigations are needed to determine the potential impact of decreased magnesuria observed under ETI therapy on the risk of urolithiasis.
Recognition and normalization of multilingual symptom entities using in-domain-adapted BERT models and classification layers
Authors: Gallego Fernando , Veredas Francisco J 
Published: August 2024

Abstract
Due to the scarcity of available annotations in the biomedical domain, clinical natural language processing poses a substantial challenge, especially when applied to low-resource languages. This paper presents our contributions for the detection and normalization of clinical entities corresponding to symptoms, signs, and findings present in multilingual clinical texts. For this purpose, the three subtasks proposed in the SympTEMIST shared task of the Biocreative VIII conference have been addressed. For Subtask 1—named entity recognition in a Spanish corpus—an approach focused on BERT-based model assemblies pretrained on a proprietary oncology corpus was followed. Subtasks 2 and 3 of SympTEMIST address named entity linking (NEL) in Spanish and multilingual corpora, respectively. Our approach to these subtasks followed a classification strategy that starts from a bi-encoder trained by contrastive learning, for which several SapBERT-like models are explored. To apply this NEL approach to different languages, we have trained these models by leveraging the knowledge base of domain-specific medical concepts in Spanish supplied by the organizers, which we have translated into the other languages of interest by using machine translation tools. The results obtained in the three subtasks establish a new state of the art. Thus, for Subtask 1 we obtain precision results of 0.804, F1-score of 0.748, and recall of 0.699. For Subtask 2, we obtain performance gains of up to 5.5% in top-1 accuracy when the trained bi-encoder is followed by a WNT-softmax classification layer that is initialized with the mean of the embeddings of a subset of SNOMED-CT terms. For Subtask 3, the differences are even more pronounced, and our multilingual bi-encoder outperforms the other models analyzed in all languages except Swedish when combined with a WNT-softmax classification layer. Thus, the improvements in top-1 accuracy over the best bi-encoder model alone are 13% for Portuguese and 13.26% for Swedish.
Database URL: https://doi.org/10.1093/database/baae087
Prediction of additive genetic variances of descendants for complex families based on Mendelian sampling variances
Authors: Niehoff Tobias A M , ten Napel Jan , Calus Mario P L 
Published: August 2024

Abstract
The ability to predict the outcome of selection and mating decisions enables breeders to make strategically better selection decisions. To improve genetic progress, those individuals need to be selected whose offspring can be expected to show high genetic variance next to high breeding values. Previously published approaches enable to predict the variance of descendants of 2 future generations for up to 4 founding haplotypes, or 2 outbred individuals, based on phased genotypes, allele effects, and recombination frequencies. The purpose of this study was to develop a general approach for the analytical calculation of the genetic variance in any future generation. The core development is an equation for the prediction of the variance of double haploid lines, under the assumption of no selection and negligible drift, stemming from an arbitrary number of founder haplotypes. This double haploid variance can be decomposed into gametic Mendelian sampling variances (MSVs) of ancestors of the double haploid lines allowing usage for non-double haploid genotypes that enables application in animal breeding programs as well as in plant breeding programs. Together with the breeding values of the founders, the gametic MSV may be used in new selection criteria. We present our idea of such a criterion that describes the genetic level of selected individuals in 4 generations. Since breeding programs do select, the assumption made for predicting variances is clearly violated, which decreases the accuracy of predicted gametic MSV caused by changes in allele frequency and linkage disequilibrium. Despite violating the assumption, we found high predictive correlations of our criterion to the true genetic level that was obtained by means of simulation for the “corn” and “cattle” genome models tested in this study (0.90 and 0.97). In practice, the genotype phases, genetic map, and allele effects all need to be estimated meaning inaccuracies in their estimation will lead to inaccurate variance prediction. Investigation of variance prediction accuracy when input parameters are estimated was not part of this study.
Loneliness and Mode of Social Contact in Late Life
Authors: Zhang Shiyang , Zhou Zexi , Fingerman Karen L , Birditt Kira S 
Published: August 2024

Abstract

Objectives
Social contact may alleviate loneliness, but little is known about within-person daily fluctuations in loneliness and social encounters. Older adults who feel lonely may engage in different modes of social contact (in-person, phone, digital). This study asked how different forms of contact are associated with loneliness throughout the day.

Methods
Participants were 313 community-dwelling older adults (aged 65–90). They completed ecological momentary assessments reporting on their social encounters (e.g., type of social partner, mode of contact) and their loneliness every 3 hr for 5–6 days. We differentiated close social ties from ties not identified as close (i.e., weak ties).

Results
We examined within-person effects using multilevel models. Findings revealed that momentary loneliness predicted a greater likelihood of phone contact in the next 3 hr. However, only in-person contact was associated with lower levels of loneliness. Regarding close and weak ties, momentary loneliness was associated with more in-person and phone contact with close ties, yet fewer in-person contacts with weak ties. In-person contact with both close and weak ties predicted lower levels of loneliness.

Discussion
Although older adults engage in both in-person and phone contact when they feel lonely, it appears that only in-person contact may reduce loneliness. Digital contact was not widely adopted as a response to momentary loneliness among these older adults. Findings underscore older adults’ willingness to maintain regular contact with close ties. Interventions addressing older adults who are lonely may consider innovative approaches to increase in-person contact.
Smartphone-Based Sit-to-Stand Analysis for Mobility Assessment in Middle Age
Authors: Hayek Roee , Gutman Itai , Baranes Guy , Nudelman Yaniv , Springer Shmuel 
Published: August 2024

Abstract

Background and Objectives
Mobility can decline in middle age and growing evidence highlights the importance of assessing mobility at this stage of life. Smartphone-based accelerometry during sit-to-stand has been shown to identify mobility impairments, but its utility in detecting subtle mobility deterioration in middle age has not been tested. This study aimed to examine whether smartphone-based accelerometry data measured during sit-to-stand tests performed on a regular chair and a cushioned sofa could be useful for detecting subtle changes in mobility in middle age.

Research Design and Methods
Twenty-three young (25.0 ± 2.5 years), 25 middle-aged (52.0 ± 5.2 years), and 17 older adults (70.0 ± 4.1 years) performed the 5-times sit-to-stand test on both a standard chair and a sofa. A smartphone attached to the participants’ lower back was used to measure lower-limb muscle power, maximal vertical velocity (MVV) during rising, the duration of the total task and the subphase of transition from sitting to standing (SiToSt), and repetition variability using the dynamic time warping method.

Results
Middle-aged adults had reduced lower-limb muscle power compared to young adults (5.25 ± 1.08 vs 6.19 ± 1.38 W/kg, p = .034), being more pronounced on the sofa (6.23 ± 1.61 vs 8.08 ± 2.17 W/kg, p = .004). Differences between middle-aged and young adults in terms of MVV (p = .011) and SiToSt duration (p = .038) were only detected on the sofa, and the middle-aged adults showed less variability compared to the older adults on the chair (p = .018). There was no difference in total task duration between the middle-aged group and the young or older adults in either condition.

Discussion and Implications
Most common tests are limited in their ability to detect early mobility deterioration in midlife due to a ceiling effect. Our results, which show the potential of smartphone-based sit-to-stand assessment in detecting subtle mobility decline in midlife, could serve as a screening tool for this purpose.
Single-cell RNA-seq Reveals the Inhibitory Effect of Methamphetamine on Liver Immunity with the Involvement of Dopamine Receptor D1
Authors: Zhou Jin-Ting , Xu Yungang , Liu Xiao-Huan , Cheng Cheng , Fan Jing-Na , Li Xiaoming , Yu Jun , Li Shengbin 
Published: August 2024

Abstract
Methamphetamine (METH) is a highly addictive psychostimulant that causes physical and psychological damage and immune system disorder, especially in the liver which contains a significant number of immune cells. Dopamine, a key neurotransmitter in METH addiction and immune regulation, plays a crucial role in this process. Here, we developed a chronic METH administration model and conducted single-cell RNA sequencing (scRNA-seq) to investigate the effect of METH on liver immune cells and the involvement of dopamine receptor D1 (DRD1). Our findings reveal that chronic exposure to METH induces immune cell identity shifts from IFITM3+ macrophage (Mac) and CCL5+ Mac to CD14+ Mac, as well as from FYN+CD4+ T effector (Teff), CD8+ T, and natural killer T (NKT) to FOS+CD4+ T and RORα+ group 2 innate lymphoid cell (ILC2), along with the suppression of multiple functional immune pathways. DRD1 is implicated in regulating certain pathways and identity shifts among the hepatic immune cells. Our results provide valuable insights into the development of targeted therapies to mitigate METH-induced immune impairment.
Psychological Distress Is Associated With Inflammatory Bowel Disease Manifestation and Mucosal Inflammation
Authors: Dragasevic Sanja , Stankovic Biljana , Kotur Nikola , Sokic Milutinovic Aleksandra , Nikolic Andreja , Pavlovic Sonja , Popovic Dragan 
Published: August 2024

Abstract

Background
Stress is a potentially significant risk factor for the occurrence and progression of inflammatory bowel disease (IBD).

Methods
The study analyzed the level of stress, anxiety, and depression in patients with Crohn’s disease (CD; n = 50) and ulcerative colitis (UC; n = 54) in comparison with non-IBD controls (n = 100), using Perceived Stress Scale (PSS), Patient Health Questionnaire (PHQ-9), and Hospital Anxiety and Depression Scale (HADS) questionnaires. Additionally, a correlation between psychological scores and expression of IL17A, IL17F, and IL23A genes in the intestinal mucosa of IBD patients was assessed.

Results
Compared to controls, CD and UC patients had higher PSS (P = 4 × 10−14, P = 2.5 × 10−16), PHQ-9 (P = 2 × 10−16, P = 2 × 10−16), HADS depression (P = 2.6 × 10−10, P = 2.5 × 10−11), and HADS anxiety (P = 3.5 × 10−9, P = 1.2 × 10−11). We found a positive correlation between PSS and IL17F mRNA (rs = 0.43, P = .036) while HADS depression and HADS anxiety positively correlated with the IL23A mRNA in inflamed ileal mucosa of CD subjects (rs = 0.55, P = .0048; rs = 0.53, P = .0062).

Conclusions
A significantly higher psychological distress was identified in IBD patients. CD patients with increased ileal expression of IL17F and IL23A genes had higher PSS and HADS, suggesting a potential interplay between psychological distress and inflammation.