bluuebunny/crossref_metadata_2025_split huggingface dataset:
Access to community-based eye services in Meru, Kenya: a cross-sectional equity analysis
Authors: Allen Luke N , Karanja Sarah , Gichangi Michael , Bunywera Cosmas , Rono Hillary , Macleod David , Kim Min Jung , Tlhajoane Malebogo , Burton Matthew J. , Ramke Jacqueline , Bolster Nigel M. , Bastawrous Andrew 
Published: August 2024

Abstract
Background
Over 80% of blindness in Kenya is due to curable or preventable causes and 7.5 m Kenyans currently need eye services. Embedding sociodemographic data collection into screening programmes could help identify the groups facing systematic barriers to care. We aimed to determine the sociodemographic characteristics that were associated with access among patients diagnosed with an eye problem and referred for treatment in the Vision Impact Programme, currently operating in Meru County.

Method
We used an embedded, pragmatic, cross-sectional design. A list of sociodemographic questions was developed with input from key stakeholders. The final question set included the following domains: age, gender, religion, marital status, disability, education, occupation, income, housing, assets, and health insurance. These were integrated into an app that is used to screen, refer, and check-in (register) participants within a major eye screening programme. We gathered data from 4,240 people who screened positive and were referred to their local outreach treatment clinic. We used logistic regression to identify which groups were facing the greatest barriers to accessing care.

Results
A quarter of those screened between April – July 2023 were found to have an eye problem and were referred, however only 46% of these people were able to access care. In our fully adjusted model, at the 0.05 level there were no statistically significant differences in the odds of attendance within the domains of disability, health insurance, housing, income, or religion. Strong evidence (p < 0.001) was found of an association between access and age, gender, and occupation; with males, younger adults, and those working in sales, services and manual jobs the least likely to receive care.

Conclusions
Access to essential eye services is low and unequal in Meru, with less than a third of those aged 18–44 receiving the care they need. Future work should explore the specific barriers faced by this group.
Older adults’ compliance with mobile ecological momentary assessments in behavioral nutrition and physical activity research: pooled results of four intensive longitudinal studies and recommendations for future research
Authors: Compernolle Sofie , Vetrovsky T. , Maes I. , Delobelle J. , Lebuf E. , De Vylder F. , Cnudde K. , Van Cauwenberg J. , Poppe L. , Van Dyck D. 
Published: August 2024

Abstract
Background
Mobile Ecological Momentary Assessment (EMA) is increasingly used to gather intensive, longitudinal data on behavioral nutrition, physical activity and sedentary behavior and their underlying determinants. However, a relevant concern is the risk of non-random non-compliance with mobile EMA protocols, especially in older adults. This study aimed to examine older adults’ compliance with mobile EMA in health behavior studies according to participant characteristics, and prompt timing, and to provide recommendations for future EMA research.

Methods
Data of four intensive longitudinal observational studies employing mobile EMA to understand health behavior, involving 271 community-dwelling older adults (M = 71.8 years, SD = 6.8; 52% female) in Flanders, were pooled. EMA questionnaires were prompted by a smartphone application during specific time slots or events. Data on compliance (i.e. information whether a participant answered at least one item following the prompt), time slot (morning, afternoon or evening) and day (week or weekend day) of each prompt were extracted from the EMA applications. Participant characteristics, including demographics, body mass index, and smartphone ownership, were collected via self-report. Descriptive statistics of compliance were computed, and logistic mixed models were run to examine inter- and intrapersonal variability in compliance.

Results
EMA compliance averaged 77.5%, varying from 70.0 to 86.1% across studies. Compliance differed among subgroups and throughout the day. Age was associated with lower compliance (OR = 0.96, 95%CI = 0.93–0.99), while marital/cohabiting status and smartphone ownership were associated with higher compliance (OR = 1.83, 95%CI = 1.21–2.77, and OR = 4.43, 95%CI = 2.22–8.83, respectively). Compliance was lower in the evening than in the morning (OR = 0.82, 95%CI = 0.69–0.97), indicating non-random patterns that could impact study validity.

Conclusions
The findings of this study shed light on the complexities surrounding compliance with mobile EMA protocols among older adults in health behavior studies. Our analysis revealed that non-compliance within our pooled dataset was not completely random. This non-randomness could introduce bias into study findings, potentially compromising the validity of research findings. To address these challenges, we recommend adopting tailored approaches that take into account individual characteristics and temporal dynamics. Additionally, the utilization of Directed Acyclic Graphs, and advanced statistical techniques can help mitigate the impact of non-compliance on study validity.
Genetic association of antinuclear antibodies with HLA in JIA patients: a Swedish cohort study
Authors: Saleh Raya , Sundberg Erik , Olsson Mia , Tengvall Katarina , Alfredsson Lars , Kockum Ingrid , Padyukov Leonid , Harris Helena Erlandsson 
Published: August 2024

Abstract
Background
Juvenile Idiopathic Arthritis (JIA) is a complex autoimmune disease and the most common chronic rheumatological disease affecting children under the age of 16. The etiology of JIA remains poorly understood, but evidence suggests a significant genetic predisposition.

Methods
We analyzed a Swedish cohort of 329 JIA patients and 728 healthy adult controls using the Illumina OmniExpress array for genotyping. HLA alleles were imputed from GWAS data using the SNP2HLA algorithm.

Results
Case–control analysis yielded 12 SNPs with genome-wide significant association to JIA, all located on chromosome 6 within the MHC class II gene region. Notably, the top SNP (rs28421666) was located adjacent to HLA-DQA1 and HLA-DRB1. HLA-DRB1*08:01, HLA-DQA1*04:01, and HLA-DQB1*04:02 were the haplotypes most strongly associated with an increased risk of JIA in the overall cohort. When analyzing disease specific subtypes, these alleles were associated with oligoarthritis and RF-negative polyarthritis. Within the complex linkage disequilibrium of the HLA-DRB1-DQA1-DQB1 haplotype, our analysis suggests that HLA-DRB1*08 might be the primary allele linked to JIA susceptibility. The HLA-DRB1*11 allele group was also independently associated with JIA and specifically enriched in the oligoarthritis patient group. Additionally, our study revealed a significant correlation between antinuclear antibody (ANA) positivity and specific HLA alleles. The ANA-positive JIA group showed stronger associations with the HLA-DRB1-DQA1-DQB1 haplotype, HLA-DRB1*11, and HLA-DPB1*02, suggesting a potential connection between genetic factors and ANA production in JIA. Furthermore, logistic regression analysis reaffirmed the effects of HLA alleles, female sex, and lower age at onset on ANA positivity.

Conclusions
This study identified distinct genetic associations between HLA alleles and JIA subtypes, particularly in ANA-positive patients. These findings contribute to a better understanding of the genetic basis of JIA and provide insights into the genetic control of autoantibody production in ANA-positive JIA patients. This may inform future classification and personalized treatment approaches for JIA, ultimately improving patient outcomes and management of this disease.
Contextualizing family planning messages for the BornFyne-PNMS digital platform in Cameroon: a community-based approach
Authors: Nkangu Miriam , Detchaptche Sarah Pascale Ngassa , Njoache Mildred , Fantaye Arone , Wanda Franck , Ngo Valery , Obegu Pamela , Kasonde Mwenya , Buh Amos , Sinsai Regina , Kepgang Evrard , Kibu Odette , Tassegning Armel , Fobellah Nkengfac , Elate Nfongue , Tabebot Alice , Weledji Donald , Little Julian , Yaya Sanni 
Published: August 2024

Abstract
Background
Family planning (FP) is crucial for reducing maternal and infant mortality and morbidity, particularly through the prevention of unsafe abortions resulting from unwanted pregnancies. Despite Cameroon’s commitment to increasing the adoption of modern FP strategies, rural and poor populations still exhibit low demand due to limited access to healthcare services. This study documents the approach in developing family planning messages for the BornFyne prenatal management system as a platform to improve family planning awareness and enhance uptake.

Method
This is a mixed-methods study that employed the Health Belief Model (HBM). The study included a cross-sectional survey and focus group discussions in four districts of Cameroon. The survey explored household perspectives of FP and the use of mobile phone. Focus group discussions involved women, men, and community health workers to gain in-depth insights. Thematic analysis using themes from the HBM guided the analysis, focusing on perceived benefits, barriers, and cues to action.

Results
The survey included 3,288 responses. Thematic analysis of focus group discussions highlighted knowledge gaps and areas requiring additional information. Identified gaps informed the development of targeted FP messages aligned with BornFyne objectives and the Health Belief Model. Results revealed that most respondents recognized the benefits of FP but faced knowledge barriers related to side effects, cultural influences, and communication challenges between partners. Focus group discussions further highlighted the need for education targeting both men and women, dispelling misconceptions, and addressing adolescent and youths’ ignorance. The study emphasized the importance of tailored messaging for specific demographic groups and culture.

Conclusion
Developing effective FP intervention messages requires a nuanced understanding of community perspectives. The BornFyne-PNMS family planning feature, informed by the Health Belief Model, addresses knowledge gaps by delivering educational messages in local dialects via mobile phones. The study’s findings underscore the importance of community-based approaches to contextualizing and developing FP content targeting specific populations to generate tailored messages to promote awareness, acceptance, and informed decision-making. The contextualized and validated messages are uploaded into the BornFyne-family planning feature.
Multi-omics association study of DNA methylation and gene expression levels and diagnoses of cardiovascular diseases in Danish Twins
Authors: Skovgaard Asmus Cosmos , Mohammadnejad Afsaneh , Beck Hans Christian , Tan Qihua , Soerensen Mette 
Published: August 2024

Abstract
Background
Cardiovascular diseases (CVDs) are major causes of mortality and morbidity worldwide; yet the understanding of their molecular basis is incomplete. Multi-omics studies have significant potential to uncover these mechanisms, but such studies are challenged by genetic and environmental confounding—a problem that can be effectively reduced by investigating intrapair differences in twins. Here, we linked data on all diagnoses of the circulatory system from the nationwide Danish Patient Registry (spanning 1977–2022) to a study population of 835 twins holding genome-wide DNA methylation and gene expression data. CVD diagnoses were divided into prevalent or incident cases (i.e., occurring before or after blood sample collection (2007–2011)). The diagnoses were classified into four groups: cerebrovascular diseases, coronary artery disease (CAD), arterial and other cardiovascular diseases (AOCDs), and diseases of the veins and lymphatic system. Statistical analyses were performed by linear (prevalent cases) or cox (incident cases) regression analyses at both the individual-level and twin pair-level. Significant genes (p < 0.05) in both types of biological data and at both levels were inspected by bioinformatic analyses, including gene set enrichment analysis and interaction network analysis.

Results
In general, more genes were found for prevalent than for incident cases, and bioinformatic analyses primarily found pathways of the immune system, signal transduction and diseases for prevalent cases, and pathways of cell–cell communication, metabolisms of proteins and RNA, gene expression, and chromatin organization groups for incident cases. This potentially reflects biology related to response to CVD (prevalent cases) and mechanisms related to regulation and development of disease (incident cases). Of specific genes, Myosin 1E was found to be central for CAD, and DEAD-Box Helicase 5 for AOCD. These genes were observed in both the prevalent and the incident analyses, potentially reflecting that their DNA methylation and gene transcription levels change both because of disease (prevalent cases) and prior disease (incident cases).

Conclusion
We present novel biomarkers for CVD by performing multi-omics analysis in twins, hereby lowering the confounding due to shared genetics and early life environment—a study design that is surprisingly rare in the field of CVD, and where additional studies are highly needed.
CT-based multimodal deep learning for non-invasive overall survival prediction in advanced hepatocellular carcinoma patients treated with immunotherapy
Authors: Xia Yujia , Zhou Jie , Xun Xiaolei , Zhang Jin , Wei Ting , Gao Ruitian , Reddy Bobby , Liu Chao , Kim Geoffrey , Yu Zhangsheng 
Published: August 2024

Abstract
Objectives
To develop a deep learning model combining CT scans and clinical information to predict overall survival in advanced hepatocellular carcinoma (HCC).

Methods
This retrospective study included immunotherapy-treated advanced HCC patients from 52 multi-national in-house centers between 2018 and 2022. A multi-modal prognostic model using baseline and the first follow-up CT images and 7 clinical variables was proposed. A convolutional-recurrent neural network (CRNN) was developed to extract spatial-temporal information from automatically selected representative 2D CT slices to provide a radiological score, then fused with a Cox-based clinical score to provide the survival risk. The model’s effectiveness was assessed using a time-dependent area under the receiver operating curve (AUC), and risk group stratification using the log-rank test. Prognostic performances of multi-modal inputs were compared to models of missing modality, and the size-based RECIST criteria.

Results
Two-hundred seven patients (mean age, 61 years ± 12 [SD], 180 men) were included. The multi-modal CRNN model reached the AUC of 0.777 and 0.704 of 1-year overall survival predictions in the validation and test sets. The model achieved significant risk stratification in validation (hazard ratio [HR] = 3.330, p = 0.008), and test sets (HR = 2.024, p = 0.047) based on the median risk score of the training set. Models with missing modalities (the single-modal imaging-based model and the model incorporating only baseline scans) can still achieve favorable risk stratification performance (all p < 0.05, except for one, p = 0.053). Moreover, results proved the superiority of the deep learning-based model to the RECIST criteria.

Conclusion
Deep learning analysis of CT scans and clinical data can offer significant prognostic insights for patients with advanced HCC.

Critical relevance statement
The established model can help monitor patients’ disease statuses and identify those with poor prognosis at the time of first follow-up, helping clinicians make informed treatment decisions, as well as early and timely interventions.

Key Points

An AI-based prognostic model was developed for advanced HCC using multi-national patients.

The model extracts spatial-temporal information from CT scans and integrates it with clinical variables to prognosticate.

The model demonstrated superior prognostic ability compared to the conventional size-based RECIST method.

Graphical Abstract
A radioligand for in vitro autoradiography of CSF1R in post-mortem CNS tissues
Authors: Foss Catherine A. , Naik Ravi , Das Deepankar , Cha Hyojin , Minn Il , Hall Andrew , Finley Paige , Wu Sophia Jiang , Du Yong , Dannals Robert F. , Pomper Martin G. , Horti Andrew G. 
Published: August 2024

Abstract
Background
Reactive microglia and recruited peripheral macrophages contribute to the pathogenesis of Alzheimer’s dementia (AD). Monocytes, macrophages and microglia all express the marker colony-stimulating factor 1 receptor (CSF1R). 4-Cyano-N-(4-(4-methylpiperazin-1-yl)-2-(4-methylpiperidin-1-yl)phenyl)-1H-pyrrole-2-carboxamide (1) is a high-affinity antagonist for CSF1R. We report the radiosynthesis of both [3H]1 and [11C]1. The PET imaging properties of [11C]1 in mice and baboon were investigated. [3H]1 was studied in Bmax measurement in post-mortem autoradiography in the frontal cortex, inferior parietal cortex and hippocampus from donors diagnosed with AD and age-matched controls. In vitro binding affinity of 1 was measured commercially. Nor-methyl-1 precursor was radiolabeled with [11C]iodomethane or [3H]iodomethane to produce [11C]1 and [3H]1, respectively. Ex vivo brain biodistribution of [11C]1 was compared in normal mice versus lipopolysaccharide-administered (LPS) murine model of neuroinflammation. Dynamic PET imaging was performed in a healthy male Papio anubis baboon. Post-mortem autoradiography with [3H]1 was performed in frozen sections using a standard saturation binding technique.

Results
Compound 1 exhibits a high in vitro CSF1R binding affinity (0.59 nM). [11C]1 was synthesized with high yield. [3H]1 was synthesized similarly (commercially). Biodistribution of [11C]1 in healthy mice demonstrated moderate brain uptake. In LPS-treated mice the brain uptake of [11C]1 was ~ 50% specific for CSF1R. PET/CT [11C]1 study in baboon revealed low brain uptake (0.36 SUV) of [11C]1. Autoradiography with [3H]1 gave significantly elevated Bmax values in AD frontal cortex versus control (47.78 ± 26.80 fmol/mg vs. 12.80 ± 5.30 fmol/mg, respectively, P = 0.023) and elevated, but not significantly different binding in AD hippocampus grey matter and inferior parietal cortex (IPC) white matter.

Conclusions
Compound 1 exhibits a high in vitro CSF1R binding affinity. [11C]1 specifically labels CSF1R in the mouse neuroinflammation, but lacks the ability to efficiently cross the blood–brain barrier in baboon PET. [3H]1 specifically labels CSF1R in post-mortem human brain. The binding of [3H]1 is significantly higher in the post-mortem frontal cortex of AD versus control subjects.
Integrating surgical intervention and watch-and-wait approach in dMMR metastatic rectal cancer with pembrolizumab: a case report
Authors: Ando Yohei , Sakurai Tsubasa , Ozaki Kosuke , Matsui Shimpei , Mukai Toshiki , Yamaguchi Tomohiro , Akiyoshi Takashi , Nakayama Izuma , Shigematsu Yasuyuki , Oba Atsushi , Chino Akiko , Fukunaga Yosuke 
Published: August 2024

Abstract
Background
Treating rectal cancer presents challenges due to postoperative complications and reduced quality of life (QOL). Recent evidence supports the watch-and-wait (WW) approach for patients with a clinical complete response (cCR) following preoperative treatment. In this report, we discuss a case of metastatic rectal cancer with deficient mismatch repair (dMMR) treated successfully with pembrolizumab.

Case presentation
A 47-year-old male with dMMR rectal cancer and a single liver metastasis underwent treatment with pembrolizumab as neoadjuvant therapy. After 10 courses, the rectal lesion achieved cCR, prompting the selection of the WW approach. The liver metastasis showed significant shrinkage; however, the presence of a residual tumor was suspected, leading to a metastasectomy. A pathological complete response (pCR) was confirmed via histological examination. During a 24-month follow-up, there was no evidence of tumor regrowth, local recurrence, or distant metastasis.

Conclusions
The WW strategy is increasingly accepted for patients achieving cCR after preoperative treatment. While pCR in dMMR rectal cancer patients treated with immune checkpoint inhibitors (ICIs) has been documented, accurately predicting pCR from imaging remains challenging. This case illustrates that integrating ICI therapy, surgical interventions, and the WW approach can effectively achieve both oncological safety and improved QOL in the treatment of dMMR metastatic rectal cancer.
A case of abdominal aortic aneurysm presenting with multiple organs embolization
Authors: Tanaka Shinichi , Ohmine Takahiro , Maeda Takashi 
Published: August 2024

Abstract
Background
Distal embolization as the first manifestation of an abdominal aortic aneurysm (AAA) is relatively rare. AAAs presenting with multiple organs embolization are rarer and serious systemic conditions. There are no reports of life-saving outcomes in patients with AAAs presenting with multiple organs embolization prior to surgery.

Case presentation
A 78-year-old man presented with right acute lower limb ischemia (ALLI) and ischemic enteritis coexisting with an 83-mm AAA with a large mural thrombus. Although the patient underwent successful revascularization with endovascular treatment for right ALLI, the manifestation of ischemia of the calf muscles and infection forced right above-knee amputation. The patient also presented with ischemic colitis that resolved with conservative treatment. After receiving appropriate medical therapy and rehabilitation, the patient was successfully treated with open aortic repair for the AAA.

Conclusion
We successfully performed open aortic surgery for a rare case of AAA presenting with multiple organs embolization.