cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29334471.v1
title: Risk factors for periprosthetic femoral fractures following hip arthroplasty: a systematic review and meta-analysis

description: Periprosthetic femoral fracture (PPFF) is a serious complication following hip arthroplasty. The objective of this study was to determine the risk factors for PPFF following hip arthroplasty from existing studies. A comprehensive systematic search was performed in 4 databases: Pubmed, Embase, Web of Science, and Cochrane Library. The last search was carried out on 26th July 2024. We focused on identifying risk factors for PPFF following hip arthroplasty. Study eligibility required PPFF as an outcome and reporting of associated risk factors. Quality assessment was performed using the Newcastle-Ottawa Scale (NOS), with evidence certainty evaluated via Grading of Recommendations, Assessment, Development, and Evaluations (GRADE). Meta-analyses employed both fixed-effect and random-effects models to pool odds ratios for identified risk factors. Out of 1553 articles, 36 studies published between 2006 and 2024 were included. Risk factors associated with increased incidence of PPFF ranges from very Low to High. High-quality evidence supported the use of uncemented stems (Odds Ratio [OR]: 3.36, 95% Confidence Interval [95% CI]: 3.02–3.74), major teaching hospital (OR: 2.04, 95% CI: 1.37–3.05). Moderate-quality evidence: female gender (OR: 1.60, 95% CI: 1.43–1.78), morbid obesity (OR: 1.44, 95% CI: 1.01–2.16), higher Deyo-Charlson index (OR: 1.44, 95% CI: 1.18–1.77), rheumatoid arthritis (OR: 1.89, 95% CI: 1.16–3.06), femoral Dorr type C (OR: 4.23, 95% CI: 2.82–6.33). Low evidence: age &gt; 70 years (OR: 1.67, 95% CI: 1.19–2.34), revision hip arthroplasty (OR: 2.60, 95% CI: 1.59–4.27). BMI &gt; 30 and history of hip surgery are not the risk (very low). Diagonized as osteoarthritis before surgery is a protective factor (OR:0.51, 95%CI: 0.40–0.65, quality = High). This meta-analysis provided some low-to-high evidence about the risk of PPFF following hip arthroplasty. It’s recommended that clinicians consider these risk factors when evaluating patients for hip arthroplasty and take steps to mitigate their impact, like optimizing patients health preoperatively, using cemented stems, and monitoring high-risk patients closely.
DOI: 10.6084/m9.figshare.29348145
title: Nonsuicidal self-injury prediction with pain-processing neural circuits using interpretable graph neural network

description: Nonsuicidal self-injury (NSSI) involves the intentional destruction of one’s own body tissues without suicidal intent. Prior research has shown that individuals with NSSI exhibit abnormal pain perception; however, the pain-processing neural circuits underlying NSSI remain poorly understood. This study leverages graph neural networks to predict NSSI risk and examine the learned connectivity of neural underpinnings using multimodal data. Resting-state functional MRI and diffusion tensor imaging were collected from 50 patients with NSSI, 79 healthy controls (HC), and 44 patients with mental disorder who did not engage in NSSI as disease controls (DC). We constructed pain-related brain networks for each participant. An interpretable graph attention networks (GAT) model was developed, considering demographic factors, to predict NSSI risk and highlight NSSI-specific connectivity using learned attention matrices. The proposed GAT model based on imaging data achieved an accuracy of 80%, and increased to 88% when self-reported pain scales were incorporated alongside imaging data in distinguishing patients with NSSI from HC. It highlighted amygdala-parahippocampus and inferior frontal gyrus (IFG)-insula connectivity as pivotal in NSSI-related pain processing. After incorporating imaging data of DC, the model’s accuracy reached 74%, underscoring consistent neural connectivity patterns. The GAT model demonstrates high predictive accuracy for NSSI, enhanced by including self-reported pain scales. Our proposed GAT model underscores the significance in the functional integration of limbic regions, paralimbic regions and IFG in NSSI pain processing. Our findings suggest altered pain processing as a key mechanism in NSSI, providing insights for potential neural modulation intervention strategies.
DOI: 10.6084/m9.figshare.29348145.v1
title: Nonsuicidal self-injury prediction with pain-processing neural circuits using interpretable graph neural network

description: Nonsuicidal self-injury (NSSI) involves the intentional destruction of one’s own body tissues without suicidal intent. Prior research has shown that individuals with NSSI exhibit abnormal pain perception; however, the pain-processing neural circuits underlying NSSI remain poorly understood. This study leverages graph neural networks to predict NSSI risk and examine the learned connectivity of neural underpinnings using multimodal data. Resting-state functional MRI and diffusion tensor imaging were collected from 50 patients with NSSI, 79 healthy controls (HC), and 44 patients with mental disorder who did not engage in NSSI as disease controls (DC). We constructed pain-related brain networks for each participant. An interpretable graph attention networks (GAT) model was developed, considering demographic factors, to predict NSSI risk and highlight NSSI-specific connectivity using learned attention matrices. The proposed GAT model based on imaging data achieved an accuracy of 80%, and increased to 88% when self-reported pain scales were incorporated alongside imaging data in distinguishing patients with NSSI from HC. It highlighted amygdala-parahippocampus and inferior frontal gyrus (IFG)-insula connectivity as pivotal in NSSI-related pain processing. After incorporating imaging data of DC, the model’s accuracy reached 74%, underscoring consistent neural connectivity patterns. The GAT model demonstrates high predictive accuracy for NSSI, enhanced by including self-reported pain scales. Our proposed GAT model underscores the significance in the functional integration of limbic regions, paralimbic regions and IFG in NSSI pain processing. Our findings suggest altered pain processing as a key mechanism in NSSI, providing insights for potential neural modulation intervention strategies.
DOI: 10.6084/m9.figshare.30919144
title: Global prevalences of erythropoiesis-associated micronutrient deficiencies (iron, folate, and vitamin B<sub>12</sub>) among pregnant women: a systematic review and meta-analysis

description: Deficiencies of iron, folate, and vitamin B12 micronutrients are considered a global public health issue. These deficiencies not only lead to anemia but are also linked to numerous short- and long-term health risks for both mothers and children. This study aimed to estimate the global prevalence of erythropoiesis-associated micronutrient deficiencies (iron, folate, and vitamin B12) in pregnant women. We systematically searched three databases, including PubMed, Embase, and Scopus, along with a manual search for observational studies published up to August 26, 2024. Data extraction was independently screened by two reviewers. Random-effects models were employed to pool data on prevalences of iron, folate, and vitamin B12 deficiencies among pregnant women. We identified 43 studies from 28 countries. Global pooled prevalences of single iron, folate, and vitamin B12 deficiencies were 28.4% (95% CI, 21.1–37%), 11.1% (95% CI, 3.9–27.5%), and 17.1% (95% CI, 8.8–30.6%), respectively. Pooled prevalences of double micronutrient deficiencies of iron or folate were 53.1% (95% CI, 49.8–56.5%) and 49.6% (95% CI, 46.2–53%), respectively; double micronutrient deficiencies of folate or vitamin B12 were 6.2% (95% CI, 1.2–25.8%) and 11.8% (95% CI, 3.3–34.1%), respectively. Pooled prevalences of triple micronutrient deficiencies of iron or folate or vitamin B12 were 36.1% (95% CI, 13.1–68%), 34.3% (95% CI, 16.9–57.3%), and 12.6% (95% CI, 7–74.8%), respectively. The findings highlight the high prevalences of erythropoiesis-related micronutrient deficiencies in pregnant women worldwide. Targeted interventions to mitigate these deficiencies during pregnancy.
DOI: 10.6084/m9.figshare.30919144.v1
title: Global prevalences of erythropoiesis-associated micronutrient deficiencies (iron, folate, and vitamin B<sub>12</sub>) among pregnant women: a systematic review and meta-analysis

description: Deficiencies of iron, folate, and vitamin B12 micronutrients are considered a global public health issue. These deficiencies not only lead to anemia but are also linked to numerous short- and long-term health risks for both mothers and children. This study aimed to estimate the global prevalence of erythropoiesis-associated micronutrient deficiencies (iron, folate, and vitamin B12) in pregnant women. We systematically searched three databases, including PubMed, Embase, and Scopus, along with a manual search for observational studies published up to August 26, 2024. Data extraction was independently screened by two reviewers. Random-effects models were employed to pool data on prevalences of iron, folate, and vitamin B12 deficiencies among pregnant women. We identified 43 studies from 28 countries. Global pooled prevalences of single iron, folate, and vitamin B12 deficiencies were 28.4% (95% CI, 21.1–37%), 11.1% (95% CI, 3.9–27.5%), and 17.1% (95% CI, 8.8–30.6%), respectively. Pooled prevalences of double micronutrient deficiencies of iron or folate were 53.1% (95% CI, 49.8–56.5%) and 49.6% (95% CI, 46.2–53%), respectively; double micronutrient deficiencies of folate or vitamin B12 were 6.2% (95% CI, 1.2–25.8%) and 11.8% (95% CI, 3.3–34.1%), respectively. Pooled prevalences of triple micronutrient deficiencies of iron or folate or vitamin B12 were 36.1% (95% CI, 13.1–68%), 34.3% (95% CI, 16.9–57.3%), and 12.6% (95% CI, 7–74.8%), respectively. The findings highlight the high prevalences of erythropoiesis-related micronutrient deficiencies in pregnant women worldwide. Targeted interventions to mitigate these deficiencies during pregnancy.
DOI: 10.6084/m9.figshare.30928058
title: Comprehensive circRNA expression profile and hub genes screening during human liver development

description: Understanding the expression of non-coding RNA in the liver during embryonic development provides important insights into liver diseases. Therefore, we investigated circular RNA (circRNA) roles in human liver development, an unexplored research domain. Using high-throughput sequencing and bioinformatics, we analysed foetal liver samples across developmental stages (7–20 weeks post-conception). Differentially expressed (DE) genes were identified and subjected to enrichment analysis using Gene Ontology (GO), Kyoto Encyclopaedia of Genes and Genomes (KEGG), and Disease Ontology (DO). Modular analysis was performed using the Search Tool for Retrieval of Interacting Genes (STRING), followed by construction of a protein-protein interaction (PPI) network using Cytoscape software. The key genes were screened using Molecular Complex Detection (MCODE). The mRNA levels of hub genes were validated using quantitative reverse transcription polymerase chain reaction (qRT-PCR). There were 645 DE circRNAs and 5,145 DE mRNAs between human livers at the three growth stages (HB, EH, and LH). It was found that the activity of circRNAs was boosted remarkably in the hepatoblastic stage. Enrichment analysis found they mainly involved in nervous system regulation of liver function, embryonic organ development and digestive system development. In addition, DE circRNAs were primarily involved in the PI3K-AKT, MAPK and calcium pathways, potentially contributing to adult liver diseases. Notably, only hsa_circ_001471 and novel_circ_017382 were simultaneously identified at all stages and were persistently downregulated. A co-expression regulatory network involving these circRNAs was established. Three hub genes (LGR5, FOXL1 and RSPO3) were identified from the PPI network of 167 genes and may play key roles in human liver development. The RT-qPCR validation results were in agreement with the sequencing data. Our findings provide the first insights into the roles and regulatory networks of circRNAs in human liver development, laying the groundwork for further investigations of molecular and signalling networks.
DOI: 10.6084/m9.figshare.30928058.v1
title: Comprehensive circRNA expression profile and hub genes screening during human liver development

description: Understanding the expression of non-coding RNA in the liver during embryonic development provides important insights into liver diseases. Therefore, we investigated circular RNA (circRNA) roles in human liver development, an unexplored research domain. Using high-throughput sequencing and bioinformatics, we analysed foetal liver samples across developmental stages (7–20 weeks post-conception). Differentially expressed (DE) genes were identified and subjected to enrichment analysis using Gene Ontology (GO), Kyoto Encyclopaedia of Genes and Genomes (KEGG), and Disease Ontology (DO). Modular analysis was performed using the Search Tool for Retrieval of Interacting Genes (STRING), followed by construction of a protein-protein interaction (PPI) network using Cytoscape software. The key genes were screened using Molecular Complex Detection (MCODE). The mRNA levels of hub genes were validated using quantitative reverse transcription polymerase chain reaction (qRT-PCR). There were 645 DE circRNAs and 5,145 DE mRNAs between human livers at the three growth stages (HB, EH, and LH). It was found that the activity of circRNAs was boosted remarkably in the hepatoblastic stage. Enrichment analysis found they mainly involved in nervous system regulation of liver function, embryonic organ development and digestive system development. In addition, DE circRNAs were primarily involved in the PI3K-AKT, MAPK and calcium pathways, potentially contributing to adult liver diseases. Notably, only hsa_circ_001471 and novel_circ_017382 were simultaneously identified at all stages and were persistently downregulated. A co-expression regulatory network involving these circRNAs was established. Three hub genes (LGR5, FOXL1 and RSPO3) were identified from the PPI network of 167 genes and may play key roles in human liver development. The RT-qPCR validation results were in agreement with the sequencing data. Our findings provide the first insights into the roles and regulatory networks of circRNAs in human liver development, laying the groundwork for further investigations of molecular and signalling networks.
DOI: 10.6084/m9.figshare.30182664
title: Association between constipation and risk of cardiovascular or all-cause mortality: a meta-analysis

description: Constipation, characterized by infrequent bowel movements or difficulty with defecation, is a common gastrointestinal disorder. This meta-analysis aimed to evaluate the association between constipation and the risks of cardiovascular and all-cause mortality. A systematic search of PubMed, Embase and Web of Science was conducted through 6 August 2025, to identify longitudinal observational studies examining the association between constipation and mortality. Pooled adjusted hazard ratios (HR) with 95% confidence intervals (CI) were calculated using random-effects models to account for substantial clinical heterogeneity in constipation definitions across studies. Thirteen studies (14 articles) involving 3,710,453 participants were included. Pooled analyses revealed a significant association between constipation and all-cause mortality across different populations: a HR of 1.10 (95% CI 1.02–1.19) for the general population, 1.40 (95% CI 1.16–4.68) for patients with chronic kidney disease (CKD), and 1.85 (95% CI 1.28–2.67) for patients with heart failure. Conversely, no significant associations were observed for cardiovascular mortality in either the general population (HR 1.19; 95% CI 0.99–1.45) or CKD patients (HR 1.33; 95% CI 0.83–2.13). Constipation is independently associated with an increased risk of all-cause mortality, particularly in patients with chronic conditions such as CKD and heart failure. However, standardized measurement protocols and validation across diverse cohorts are necessary to clarify its prognostic significance.
DOI: 10.6084/m9.figshare.30182664.v1
title: Association between constipation and risk of cardiovascular or all-cause mortality: a meta-analysis

description: Constipation, characterized by infrequent bowel movements or difficulty with defecation, is a common gastrointestinal disorder. This meta-analysis aimed to evaluate the association between constipation and the risks of cardiovascular and all-cause mortality. A systematic search of PubMed, Embase and Web of Science was conducted through 6 August 2025, to identify longitudinal observational studies examining the association between constipation and mortality. Pooled adjusted hazard ratios (HR) with 95% confidence intervals (CI) were calculated using random-effects models to account for substantial clinical heterogeneity in constipation definitions across studies. Thirteen studies (14 articles) involving 3,710,453 participants were included. Pooled analyses revealed a significant association between constipation and all-cause mortality across different populations: a HR of 1.10 (95% CI 1.02–1.19) for the general population, 1.40 (95% CI 1.16–4.68) for patients with chronic kidney disease (CKD), and 1.85 (95% CI 1.28–2.67) for patients with heart failure. Conversely, no significant associations were observed for cardiovascular mortality in either the general population (HR 1.19; 95% CI 0.99–1.45) or CKD patients (HR 1.33; 95% CI 0.83–2.13). Constipation is independently associated with an increased risk of all-cause mortality, particularly in patients with chronic conditions such as CKD and heart failure. However, standardized measurement protocols and validation across diverse cohorts are necessary to clarify its prognostic significance.
DOI: 10.6084/m9.figshare.28071839
title: Predictive value of three nutritional indexes for disease activity in patients with inflammatory bowel disease

description: Malnutrition is prevalent in patients with inflammatory bowel disease (IBD); however, its ability to predict the disease activity in IBD remains unexplored. Therefore, this study aimed to explore the association between malnutrition and disease activity in IBD. In this retrospective study, we enrolled 1006 patients diagnosed with IBD from the First Affiliated Hospital of Wenzhou Medical University from 2011 to 2022. Malnutrition was assessed based on the prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and controlling nutritional status (CONUT) scores. Logistic regression analyses were performed to identify predictors for disease activity. Restricted cubic spline analysis was performed to evaluate the possible nonlinear relations, and subgroup analysis was performed to explore potential interactions. Additionally, prediction performances were compared through receiver operating characteristic curves, net reclassification improvement, and integrated discrimination improvement. The prevalence of malnutrition calculated by the PNI, GNRI, and CONUT scores in IBD was 16.9%, 72.1%, and 75.6%, respectively and significant correlations were observed among them. Multivariate logistic regression analysis showed that PNI, GNRI, and CONUT were independent risk factors for disease activity, and no significant nonlinear relationship was observed between disease activity and all three indexes. No statistically significant interactive effect was found in nearly all the subgroups. GNRI showed the highest predictive value compared with PNI and CONUT. Additionally, combining any of the three indexes improved the ability of C-reactive protein to predict IBD activity. All three nutritional indexes evaluated malnutrition to be an independent risk factor for IBD activity.
DOI: 10.6084/m9.figshare.28071839.v1
title: Predictive value of three nutritional indexes for disease activity in patients with inflammatory bowel disease

description: Malnutrition is prevalent in patients with inflammatory bowel disease (IBD); however, its ability to predict the disease activity in IBD remains unexplored. Therefore, this study aimed to explore the association between malnutrition and disease activity in IBD. In this retrospective study, we enrolled 1006 patients diagnosed with IBD from the First Affiliated Hospital of Wenzhou Medical University from 2011 to 2022. Malnutrition was assessed based on the prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and controlling nutritional status (CONUT) scores. Logistic regression analyses were performed to identify predictors for disease activity. Restricted cubic spline analysis was performed to evaluate the possible nonlinear relations, and subgroup analysis was performed to explore potential interactions. Additionally, prediction performances were compared through receiver operating characteristic curves, net reclassification improvement, and integrated discrimination improvement. The prevalence of malnutrition calculated by the PNI, GNRI, and CONUT scores in IBD was 16.9%, 72.1%, and 75.6%, respectively and significant correlations were observed among them. Multivariate logistic regression analysis showed that PNI, GNRI, and CONUT were independent risk factors for disease activity, and no significant nonlinear relationship was observed between disease activity and all three indexes. No statistically significant interactive effect was found in nearly all the subgroups. GNRI showed the highest predictive value compared with PNI and CONUT. Additionally, combining any of the three indexes improved the ability of C-reactive protein to predict IBD activity. All three nutritional indexes evaluated malnutrition to be an independent risk factor for IBD activity.
DOI: 10.6084/m9.figshare.28927195
title: Tobacco and alcohol use are the risk factors responsible for the greatest burden of head and neck cancers: a study from the Global Burden of Disease Study 2019

description: The risk factors associated with cancers of the larynx, nasopharynx, lips, and oral cavity, as well as other pharyngeal cancers, share many similarities. To better understand how these risk factors manifest differently across various head and neck tumor types, we utilized data from the GBD database to conduct an in-depth analysis. Our study employed the 2019 GBD dataset to scrutinize trends in incidence, mortality, and DALYs related to these cancers. This analysis covered the period from 1990 to 2019 and was stratified by sex, age, geographical region, and the socio-demographic index. In 2019, lip and oral cavity cancers were found to have the highest incidence rates, with notably higher ASIRs observed in males compared to females. Interestingly, the ASIRs for laryngeal cancer showed a decreasing trend over the studied time frame from 1990 to 2019. Our findings revealed that smoking posed a significantly greater risk for laryngeal and lip and oral cavity cancers, whereas alcohol consumption was more strongly linked to NPC. Central Europe exhibited the ASDR for laryngeal cancer. For lip and oral cavity cancer, the impact of tobacco chewing on female ASDR was most pronounced in South Asia. In contrast, nasopharyngeal cancer had its highest ASDR in Asia. Our investigation underscores that smoking and alcohol consumption are leading risk factors for cancers of the head and neck, although their effects vary depending on the specific type of cancer, the sex of the patient, age group, and regional demographics. While occupational exposure to carcinogenic substances does not appear to be a predominant factor, it remains an important consideration that should not be overlooked in the comprehensive assessment of risk for these malignancies.