bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deep learning for classifying the stages of periodontitis on dental images: a systematic review and meta-analysis
Authors: Li Xin , Zhao Dan , Xie Jinxuan , Wen Hao , Liu Chunhua , Li Yajie , Li Wenbin , Wang Songlin 
Published: December 2023

Abstract
Background
The development of deep learning (DL) algorithms for use in dentistry is an emerging trend. Periodontitis is one of the most prevalent oral diseases, which has a notable impact on the life quality of patients. Therefore, it is crucial to classify periodontitis accurately and efficiently. This systematic review aimed to identify the application of DL for the classification of periodontitis and assess the accuracy of this approach.

Methods
A literature search up to November 2023 was implemented through EMBASE, PubMed, Web of Science, Scopus, and Google Scholar databases. Inclusion and exclusion criteria were used to screen eligible studies, and the quality of the studies was evaluated by the Grading of Recommendations Assessment, Development and Evaluation (GRADE) methodology with the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies) tool. Random-effects inverse-variance model was used to perform the meta-analysis of a diagnostic test, with which pooled sensitivity, specificity, positive likelihood ratio (LR), negative LR, and diagnostic odds ratio (DOR) were calculated, and a summary receiver operating characteristic (SROC) plot was constructed.

Results
Thirteen studies were included in the meta-analysis. After excluding an outlier, the pooled sensitivity, specificity, positive LR, negative LR and DOR were 0.88 (95%CI 0.82–0.92), 0.82 (95%CI 0.72–0.89), 4.9 (95%CI 3.2–7.5), 0.15 (95%CI 0.10–0.22) and 33 (95%CI 19–59), respectively. The area under the SROC was 0.92 (95%CI 0.89–0.94).

Conclusions
The accuracy of DL-based classification of periodontitis is high, and this approach could be employed in the future to reduce the workload of dental professionals and enhance the consistency of classification.
Knowledge, experience, and perception of molar incisor hypomineralisation among dentists in the metropolitan area of Mexico City: a cross-sectional study
Authors: Gómez-Clavel José Francisco , Sánchez-Cruz Fernando Yair , Santillán-Carlos Ximena Paola , Nieto-Sánchez Martha Patricia , Vidal-Gutiérrez Ximena , Pineda Álvaro Edgar González-Aragón 
Published: December 2023

Abstract
Background
Molar-incisor hypomineralisation (MIH) is the most common developmental abnormality observed in teeth. Being a relatively new condition, its treatment can present a challenge for the dentist. There is currently no study available that has evaluated the knowledge of Mexican dental personnel. This study aimed to evaluate the knowledge, experience, and perceptions of dental surgeons regarding the detection, assessment, and treatment of MIH in the metropolitan area of Mexico City.

Methods
A cross-sectional study was designed. Dentists from Mexico City and its metropolitan area were invited through social networks to answer a questionnaire of 30 questions related to MIH. Participants were classified into general practice dentists, paediatric dentists, and other speciality dentists. Pearson’s chi-square test was used for data analysis.

Results
The questionnaire was answered by 391 dentists. A total of 86% (338 out of 391) of them identified MIH lesions, while 84% of them reported having observed MIH lesions in their practice. The most frequently observed lesions were yellow-brown opacities which accounted for 47% of the lesions, 46% were white opacities, while only 7% were observed as post-eruptive fractures in the enamel as part of the manifestations of MIH. The most frequently reported problem in the management of teeth with MIH was insufficient training for treating children with MIH. A total of 84% of dentists stated that they would like more information on the treatment of MIH lesions.

Conclusions
Most of the surveyed dentists recognised MIH and reported having observed MIH lesions in their practice. Most of the dentists indicated that the main problem for the management of the MIH is the lack of training.
Infectious vaginitis among women seeking reproductive health services at a sexual and reproductive health facility in Kampala, Uganda
Authors: Mujuzi Huzaima , Siya Aggrey , Wambi Rogers 
Published: December 2023

Abstract
Background
Infectious vaginitis is one of the most prevalent conditions affecting women of reproductive age with significant clinical consequences. Bacterial vaginosis (BV), vulvo-vaginal candidiasis (VVC), and trichomoniasis (TV) are the main etiologies. Unfortunately, there is limited data on the prevalence and associated risk factors, especially in sub-saharan Africa. This study, thus, determined the prevalence and risk factors of infectious vaginitis among women seeking reproductive health services at a Marie-stopes health facility in urban areas of Kampala, Uganda.

Methods
A cross-sectional study with 361 participants was conducted from July to October 2021. Data on risk factors and infection were collected via a structured questionnaire and laboratory analysis of vaginal swabs, respectively, with data analysis performed using Stata version 14.0 college station, Texas 77,845 US.

Results
The ages of participants ranged from 18 to 49 years, with a mean age of 29.53 years. Overall, 58.45% were infected, of whom 33.24% had VVC, 24.93% had BV, and 0.28% had TV. Bivariate analysis revealed that women with pruritus (COR: 3.057, 95% CI: 1.940–4.819), pregnancy (COR: 4.914, 95% CI: 1.248–19.36), antibiotic use (COR: 1.592, 95% CI: 1.016–2.494), douching (COR: 1.719, 95% CI: 1.079–2.740), and multiple partners (COR: 1.844, 95% CI: 1.079–2.904) were more likely to have VVC, whereas having higher education status (University; Vocational) (COR: 0.325, 95% CI: 0.134–0.890; COR: 0.345, 95% CI: 0.116–0.905) reduced the risk. On the other hand, women with a smelly discharge (COR: 1.796, 95% CI: 1.036–3.110), IUD use (COR: 1.868, 95% CI: 1.039–3.358), and antibiotic use (COR: 1.731, 95% CI: 1.066–2.811) were more likely to have BV. Multivariable analysis identified pruritus (AOR: 2.861, 95% CI: 1.684–4.863) as the only independent predictor for VVC.

Conclusion
Results indicate a high prevalence of infection among these women; therefore regular screening and treatment is recommended to curb the high rate of infection. More studies on risk factors of infection are recommended.
Gut microbiome-based machine learning for diagnostic prediction of liver fibrosis and cirrhosis: a systematic review and meta-analysis
Authors: Liu Xiaopei , Liu Dan , Tan Cong’e , Feng Wenzhe 
Published: December 2023

Abstract
Background
Invasive detection methods such as liver biopsy are currently the gold standard for diagnosing liver cirrhosis and can be used to determine the degree of liver fibrosis and cirrhosis. In contrast, non-invasive diagnostic methods, such as ultrasonography, elastography, and clinical prediction scores, can prevent patients from invasiveness-related discomfort and risks and are often chosen as alternative or supplementary diagnostic methods for liver fibrosis or cirrhosis. However, these non-invasive methods cannot specify the pathological grading and early diagnosis of the lesions. Recent studies have revealed that gut microbiome-based machine learning can be utilized as a non-invasive diagnostic technique for liver cirrhosis or fibrosis, but there is no evidence-based support. Therefore, this study conducted a systematic review and meta-analysis for the first time to investigate the accuracy of machine learning based on the gut microbiota in the prediction of liver fibrosis and cirrhosis.

Methods
A comprehensive and systematic search of publications published before April 2th, 2023 in PubMed, Cochrane Library, Embase, and Web of Science was conducted for relevant studies on the application of gut microbiome-based metagenomic sequencing modeling technology to the diagnostic prediction of liver cirrhosis or fibrosis. A bivariate mixed-effects model and Stata software 15.0 were adopted for the meta-analysis.

Results
Ten studies were included in the present study, involving 11 prediction trials and 838 participants, 403 of whom were fibrotic and cirrhotic patients. Meta-analysis showed the pooled sensitivity (SEN) = 0.81 [0.75, 0.85], specificity (SEP) = 0.85 [0.77, 0.91], positive likelihood ratio (PLR) = 5.5 [3.6, 8.7], negative likelihood ratio (NLR) = 0.23 [0.18, 0.29], diagnostic odds ratio (DOR) = 24 [14, 41], and area under curve (AUC) = 0.86 [0.83–0.89]. The results demonstrated that machine learning methods had excellent potential to analyze gut microbiome data and could effectively predict liver cirrhosis or fibrosis. Machine learning provides a powerful tool for non-invasive prediction and diagnosis of liver cirrhosis or liver fibrosis, with broad clinical application prospects. However, these results need to be interpreted with caution due to limited clinical data.

Conclusion
Gut microbiome-based machine learning can be utilized as a practical, non-invasive technique for the diagnostic prediction of liver cirrhosis or fibrosis. However, most of the included studies applied the random forest algorithm in modeling, so a diversified prediction system based on microorganisms is needed to improve the non-invasive detection of liver cirrhosis or fibrosis.
RAGE plays key role in diabetic retinopathy: a review
Authors: Lu ZhiWen , Fan Bin , Li YunZhi , Zhang YiXin 
Published: December 2023

AbstractRAGE is a multiligand receptor for the immunoglobulin superfamily of cell surface molecules and is expressed in Müller cells, vascular endothelial cells, nerve cells and RPE cells of the retina. Diabetic retinopathy (DR) is a multifactorial disease associated with retinal inflammation and vascular abnormalities and is the leading cause of vision loss or impairment in older or working-age adults worldwide. Therapies aimed at reducing the inflammatory response and unnecessary angiogenesis can help slow the progression of DR, which in turn can save patients’ vision. To maximize the efficacy and minimize the side effects, treatments that target key players in the pathophysiological process of DR need to be developed. The interaction between RAGE and its ligands is involved in a variety of cytopathological alterations in the retina, including secretion of inflammatory factors, regulation of angiogenesis, oxidative stress, structural and functional changes, and neurodegeneration. In this review, we will summarize the pathologic pathways mediated by RAGE and its ligand interactions and discuss its role in the progression of diabetic retinopathy to explore potential therapeutic targets that are effective and safe for DR.
Neoadjuvant pyrotinib plus trastuzumab and chemotherapy for HER2-positive breast cancer: a prospective cohort study
Authors: Liu Lu , Zhu Mingzhi , Wang Yanyan , Li Muhan , Gu Yuanting 
Published: December 2023

Abstract
Background
This prospective study aims to investigate the efficacy and safety of pyrotinib (P) combined with 4 cycles of epirubicin and cyclophosphamide followed by 4 cycles of taxane and trastuzumab (P + EC-TH) regimen as neoadjuvant therapy for human epidermal growth factor receptor 2 (HER2) positive breast cancer and to investigate the predictive value of p53, p63, and epidermal growth factor receptor (EGFR) status for neoadjuvant efficacy.

Methods
A total of 138 HER2-positive breast cancer patients who received neoadjuvant therapy and underwent surgery were included. Case group: 55 patients received P + EC-TH regimen. Control group: 83 patients received EC-TH regimen. The chi-square test, Fisher’s exact test, and logistic regression analysis were applied. The primary endpoint was total pathologic complete response (tpCR), and the secondary endpoints were breast pathologic complete response (bpCR), overall response rate (ORR), and adverse events (AEs).

Results
In the case group, the tpCR rate was 63.64% (35/55), the bpCR rate was 69.09% (38/55), and the ORR was 100.00% (55/55). In the control group, the tpCR rate was 39.76% (33/83), the bpCR rate was 44.58% (37/83), and the ORR was 95.18% (79/83). The case group had significantly higher tpCR and bpCR rates than those of the control group (P < 0.05), but there was no significant difference in ORR (P > 0.05). The tpCR was associated with the status of estrogen receptor (ER), progesterone receptor (PR), and androgen receptor (AR), and the patients with any negative ER, PR, AR, or combined, were more likely to achieve tpCR than those with positive results (P < 0.05). The p53-positive patients were more likely to achieve tpCR and bpCR than p53-negative patients (P < 0.05). The incidence of hypokalemia and diarrhea in the case group was higher than that in the control group (P < 0.05). The AEs developed were all manageable, and no treatment-related death occurred.

Conclusion
The efficacy and safety of the P + EC-TH regimen were verified by this study. The HER2-positive breast cancer patients treated with the EC-TH neoadjuvant regimen were more likely to achieve tpCR or bpCR if pyrotinib was administered simultaneously.
Dual blockade of EGFR and PI3K signaling pathways offers a therapeutic strategy for glioblastoma
Authors: Guo Tongxuan , Wu Changyong , Zhang Junhao , Yu Jiefeng , Li Guoxi , Jiang Hongyan , Zhang Xu , Yu Rutong , Liu Xuejiao 
Published: December 2023

Abstract
Background
Glioblastoma multiforme (GBM) is a devastating disease that lacks effective drugs for targeted therapy. Previously, we found that the third-generation epidermal growth factor receptor (EGFR) inhibitor AZD-9291 persistently blocked the activation of the ERK pathway but had no inhibitory effect on the phosphoinositide 3-kinase (PI3K)/Akt pathway. Given that the PI3K inhibitor GDC-0084 is being evaluated in phase I/II clinical trials of GBM treatment, we hypothesized that combined inhibition of the EGFR/ERK and PI3K/Akt pathways may have a synergistic effect in the treatment of GBM.

Methods
The synergistic effects of cotreatment with AZD-9291 and GDC-0084 were validated using cell viability assays in GBM and primary GBM cell lines. Moreover, the underlying inhibitory mechanisms were assessed through colony formation, EdU proliferation, and cell cycle assays, as well as RNA-seq analyses and western blot. The therapeutic effects of the drug combination on tumor growth and survival were investigated in mice bearing tumors using subcutaneously or intracranially injected LN229 xenografts.

Results
Combined treatment with AZD-9291 and GDC-0084 synergistically inhibited the proliferation and clonogenic survival, as well as induced cell cycle arrest of GBM cells and primary GBM cells, compared to monotherapy. Moreover, AZD-9291 plus GDC-0084 combination therapy significantly inhibited the growth of subcutaneous tumors and orthotopic brain tumor xenografts, thus prolonging the survival of tumor-bearing mice. More importantly, the combination of AZD-9291 and GDC-0084 simultaneously blocked the activation of the EGFR/MEK/ERK and PI3K/AKT/mTOR signaling pathways, thereby exerting significant antitumor activity.

Conclusion
Our findings demonstrate that the combined blockade of the EGFR/MEK/ERK and PI3K/AKT/mTOR pathways is more effective against GBM than inhibition of each pathway alone, both in vitro and in vivo. Our results suggest that AZD-9291 combined with GDC-0084 may be considered as a potential treatment strategy in future clinical trials.
Functional connectivity patterns in parosmia
Authors: Thaploo Divesh , Joshi Akshita , Yilmaz Eren , Yildirim Duzgun , Altundag Aytug , Hummel Thomas 
Published: December 2023

Abstract
Objective
Parosmia is a qualitative olfactory dysfunction presenting as “distorted odor perception” in presence of an odor source. Aim of this study was to use resting state functional connectivity to gain more information on the alteration of olfactory processing at the level of the central nervous system level.

Methods
A cross sectional study was performed in 145 patients with parosmia (age range 20–76 years; 90 women). Presence and degree of parosmia was diagnosed on the basis of standardized questionnaires. Participants also received olfactory testing using the “Sniffin’ Sticks”. Then they underwent resting state scans using a 3 T magnetic resonance imaging scanner while fixating on a cross.

Results
Whole brain analyses revealed reduced functional connectivity in salience as well as executive control networks. Region of interest-based analyses also supported reduced functional connectivity measures between primary and secondary olfactory eloquent areas (temporal pole, supramarginal gyrus and right orbitofrontal cortex; dorso-lateral pre-frontal cortex and the right piriform cortex).

Conclusions
Participants with parosmia exhibited a reduced information flow between memory, decision making centers, and primary and secondary olfactory areas.
Advanced structural brain aging in preclinical autosomal dominant Alzheimer disease
Authors: Millar Peter R , Gordon Brian A , Wisch Julie K , Schultz Stephanie A , Benzinger Tammie LS , Cruchaga Carlos , Hassenstab Jason J , Ibanez Laura , Karch Celeste , Llibre-Guerra Jorge J , Morris John C , Perrin Richard J , Supnet-Bell Charlene , Xiong Chengjie , Allegri Ricardo F , Berman Sarah B , Chhatwal Jasmeer P , Chrem Mendez Patricio A , Day Gregory S , Hofmann Anna , Ikeuchi Takeshi , Jucker Mathias , Lee Jae-Hong , Levin Johannes , Lopera Francisco , Niimi Yoshiki , Sánchez-González Victor J , Schofield Peter R , Sosa-Ortiz Ana Luisa , Vöglein Jonathan ,   for the Dominantly Inherited Alzheimer Network, Bateman Randall J , Ances Beau M , McDade Eric M 
Published: December 2023

Abstract
Background
“Brain-predicted age” estimates biological age from complex, nonlinear features in neuroimaging scans. The brain age gap (BAG) between predicted and chronological age is elevated in sporadic Alzheimer disease (AD), but is underexplored in autosomal dominant AD (ADAD), in which AD progression is highly predictable with minimal confounding age-related co-pathology.

Methods
We modeled BAG in 257 deeply-phenotyped ADAD mutation-carriers and 179 non-carriers from the Dominantly Inherited Alzheimer Network using minimally-processed structural MRI scans. We then tested whether BAG differed as a function of mutation and cognitive status, or estimated years until symptom onset, and whether it was associated with established markers of amyloid (PiB PET, CSF amyloid-β-42/40), phosphorylated tau (CSF and plasma pTau-181), neurodegeneration (CSF and plasma neurofilament-light-chain [NfL]), and cognition (global neuropsychological composite and CDR-sum of boxes). We compared BAG to other MRI measures, and examined heterogeneity in BAG as a function of ADAD mutation variants, APOE ε4 carrier status, sex, and education.

Results
Advanced brain aging was observed in mutation-carriers approximately 7 years before expected symptom onset, in line with other established structural indicators of atrophy. BAG was moderately associated with amyloid PET and strongly associated with pTau-181, NfL, and cognition in mutation-carriers. Mutation variants, sex, and years of education contributed to variability in BAG.

Conclusions
We extend prior work using BAG from sporadic AD to ADAD, noting consistent results. BAG associates well with markers of pTau, neurodegeneration, and cognition, but to a lesser extent, amyloid, in ADAD. BAG may capture similar signal to established MRI measures. However, BAG offers unique benefits in simplicity of data processing and interpretation. Thus, results in this unique ADAD cohort with few age-related confounds suggest that brain aging attributable to AD neuropathology can be accurately quantified from minimally-processed MRI.
Microglial APOE4: more is less and less is more
Authors: Eskandari-Sedighi Ghazaleh , Blurton-Jones Mathew 
Published: December 2023

AbstractApolipoprotein E (APOE) is the single greatest genetic risk factor for late onset Alzheimer’s disease (AD). Yet, the cell-specific effects of APOE on microglia function have remained unclear. Fortunately, two comprehensive new studies published in the latest issue of Nature Immunology have employed complementary gain-of-function and loss-of-function approaches to provide critical new insight into the impact of microglial APOE on AD pathogenesis.
Adherence to dental home care in dogs with periodontitis: a post-treatment survey
Authors: Svärd John , Enlund Karolina Brunius 
Published: December 2023

Abstract
Background
Periodontitis is a common disease in dogs, and daily dental home care in the form of tooth brushing is essential for prevention and treatment. Despite this, many studies reveal low adherence to tooth brushing advice. This study aimed to assess compliance with dental home care among dogs with periodontitis and understand the factors influencing brushing routines. A questionnaire survey was emailed to 63 dog owners whose dogs had been diagnosed with periodontitis, received dental cleaning at the University Animal Hospital, Swedish University of Agricultural Sciences and were given tooth brushing instructions. The survey was supplemented by telephone interviews, resulting in a 57% response rate.

Results
The study presents dog owners' routines, experiences, attitudes, and motivation regarding tooth brushing. Approximately 42% brushed their dogs' teeth daily while others did so less frequently or not at all. Reported challenges, such as uncooperative dogs and difficulty establishing a routine, may explain infrequent brushing.

Conclusions
While the study suggests that owners of dogs with periodontitis tend to follow dental care recommendations better than the general dog owner population, it also reveals that preventive care is inadequate for more than half of the dogs. Given the high prevalence of periodontitis, there's a need for resources to address infrequent tooth brushing. Understanding dog owners' needs can help establish daily brushing as a routine, improving canine oral health and overall well-being.