bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive model for aminoglycoside induced ototoxicity
Authors: Adeyemo Adebolajo A. , Adeolu Josephine , Akinyemi Joshua O. , Omotade Olayemi O. , Oluwatosin Odunayo M. 
Published: November 2024

BackgroundIrreversible hearing loss is a well-known adverse effect of aminoglycosides, however, inability to accurately predict ototoxicity is a major limitation in clinical care. We addressed this limitation by developing a prediction model for aminoglycoside ototoxicity applicable to the general population.MethodsWe employed a prospective non-drug-resistant tuberculosis (TB), non-HIV/AIDS cohort of 153 adults on Streptomycin based anti-TB therapy. High frequency pure-tone audiometry was done at regular intervals throughout the study. Clinical and audiological predictors of ototoxicity were collated and ototoxic threshold shift from the baseline audiogram computed. The prediction model was developed with logistic regression method by examining multiple predictors of ototoxicity. Series of models were fitted sequentially; the best model was identified using Akaike Information Criterion and likelihood ratio test. Key variables in the final model were used to develop a logit model for ototoxicity prediction.ResultsOtotoxicity occurred in 35% of participants. Age, gender, weight, cumulative Streptomycin dosage, social class, baseline pure tone average (PTA) and prior hearing symptoms were explored as predictors. Multiple logistic regression showed that models with age, cumulative dosage and baseline PTA were best for predicting ototoxicity. Regression parameters for ototoxicity prediction showed that yearly age increment raised ototoxicity risk by 5% (AOR = 1.05; CI, 1.01–1.09), and a gram increase in cumulative dosage increased ototoxicity risk by 7% (AOR = 1.05; CI, 1.05–1.12) while a unit change in baseline log (PTA) was associated 254% higher risk of ototoxicity (AOR = 3.54, CI: 1.25, 10.01). Training and validation models had area under the receiver operating characteristic curve as 0.84 (CI, 0.76–0.92) and 0.79 (CI, 0.62–0.96) respectively, showing the model has discriminatory ability.ConclusionThis model can predict aminoglycoside ototoxicity in the general population.
Consistent genes associated with structural changes in clinical Alzheimer’s disease spectrum
Authors: Lu Yingqi , Zhang Xiaodong , Hu Liyu , Cheng Qinxiu , Zhang Zhewei , Zhang Haoran , Xie Zhuoran , Gao Yiheng , Cao Dezhi , Chen Shangjie , Xu Jinping 
Published: November 2024

BackgroundPrevious studies have demonstrated widespread brain neurodegeneration in Alzheimer’s disease (AD). However, the neurobiological and pathogenic substrates underlying this structural atrophy across the AD spectrum remain largely understood.MethodsIn this study, we obtained structural MRI data from ADNI datasets, including 83 participants with early-stage cognitive impairments (EMCI), 83 with late-stage mild cognitive impairments (LMCI), 83 with AD, and 83 with normal controls (NC). Our goal was to explore structural atrophy across the full clinical AD spectrum and investigate the genetic mechanism using gene expression data from the Allen Human Brain Atlas.ResultsAs a result, we identified significant volume atrophy in the left thalamus, left cerebellum, and bilateral middle frontal gyrus across the AD spectrum. These structural changes were positively associated with the expression levels of genes such as ABCA7, SORCS1, SORL1, PILRA, PFDN1, PLXNA4, TRIP4, and CD2AP, while they were negatively associated with the expression levels of genes such as CD33, PLCG2, APOE, and ECHDC3 across the clinical AD spectrum. Further gene enrichment analyses revealed that the positively associated genes were mainly involved in the positive regulation of cellular protein localization and the negative regulation of cellular component organization, whereas the negatively associated genes were mainly involved in the positive regulation of iron transport.ConclusionOverall, these results provide a deeper understanding of the biological mechanisms underlying structural changes in prodromal and clinical AD.
Nomogram model based on clinical factors and autonomic nervous system activity for predicting residual renal function decline in patients undergoing peritoneal dialysis
Authors: Wang Jing , Chen Zhenye , Huang Yaoyu , Qian Yujun , Cui Hongqing , Zhang Li , Zhang Yike , Wang Ningning , Chen Hongwu , Ren Haibin , Mao Huijuan 
Published: November 2024

BackgroundSeveral heart rate variability (HRV) parameters were reported to be associated with residual renal function (RRF) in patients undergoing continuous ambulatory peritoneal dialysis (CAPD). However, it is unclear whether using HRV or other autonomic nervous system (ANS) activity indexes can predict RRF decline in CAPD patients.MethodsPatients undergoing CAPD in 2022 from the First Affiliated Hospital of Nanjing Medical University were enrolled in this study. Their clinical characteristics, 5-min HRV parameters and average voltage of 5-min skin sympathetic nerve activity (aSKNA) were collected. According to the 12-month glomerular filtration rate (GFR) decline rate compared with the upper quartile, these patients were categorized into two groups: RRF decline (RRF-D) group and RRF stable (RRF-S) group. Clinical factors and ANS activity indexes for predicting 1-year RRF decline were analyzed using logistic regression, and a nomogram model was further established. The relationships between volume load related indexes and aSKNA were displayed by Spearman's correlation graphs.ResultsNinety-eight patients (53 women, average age of 46.7 ± 13.0 years old) with a median dialysis vintage of 24.5 months were enrolled in this study. Seventy-three patients were categorized into the RRF-S group and 25 patients into the RRF-D group. Compared with RRF-S group, patients in the RRF-D group had higher systolic blood pressure (BP; p = 0.019), higher GFR (p = 0.016), higher serum phosphorous level (p = 0.030), lower total Kt/V (p = 0.001), and lower levels of hemoglobin (p = 0.007) and albumin (p = 0.010). The RRF-D group generally exhibited lower HRV parameters and aSKNA compared with the RRF-S group. A nomogram model included clinical factors (sex, systolic BP, hemoglobin, GFR, and total Kt/V) and aSKNA showed the largest AUC of 0.940 (95% CI: 0.890–0.990) for predicting 1-year RRF decline.ConclusionThe nomogram model included clinical factors (sex, systolic BP, hemoglobin, GFR and total Kt/V) and ANS activity index (aSKNA) might be a promising tool for predicting 1-year RRF decline in CAPD patients.
Early-life undernutrition in the great Chinese famine and the risk of early natural menopause: a retrospective cohort study in Western China
Authors: Xu Xiaoyang , Zhang Yong , Qi Xiaoya 
Published: November 2024

PurposeEarly age of menopause may increase the risk of fracture, cardiovascular diseases, and all-cause mortality. This study aimed to investigate the relation between early-life undernutrition in the Great Chinese Famine and the risk of early natural menopause.MethodsA famine exposure retrospective cohort was established during 2017–2018. Postmenopausal women who were born on 01 October 1956–30 September 1964 and came to the hospital for routine health examinations were candidates for the study. Famine time was defined from 1 January 1959 to 31 December 1961. Three types of early-life famine exposure status were determined by the participant’s date of birth. Natural menopause age below 45 was defined as early menopause. The association between early-life famine exposure status and the risk of early natural menopause was confirmed by multiple logistic regression.ResultA total of 3,337 participants born around famine were included in this study. The prevalence of early menopause was 13.1, 10.0, and 8.3% for those born before, during, and after the famine, respectively. The multiple logistic regression showed that women born before famine significantly increased the risk of early menopause compared to non-exposure (born after famine) (the fully adjusted OR = 1.463, 95%CI = 1.049–2.042). The fetal famine exposure did not significantly increase the risk of early menopause (the fully adjusted OR = 1.244, 95%CI = 0.878–1.764).ConclusionLong-term early childhood famine exposure, which caused chronic undernutrition at young ages, increased the risk of early menopause. Early lifetime undernutrition can be recognized as an adverse factor in female reproductive development and aging. This cohort study further confirmed the hypothesis of developmental origins of health and disease from the aspect of women’s reproductive health. Further mechanism study is warranted.
Association between major dietary patterns and obesity phenotypes in southwest China: baseline survey results from Hechuan
Authors: Shaomei Wang , Dezhi Jing , Mengfen Li , Huaan Duan , Xianbin Ding , Juan Peng , Xia Li , Yanfeng Zhu 
Published: November 2024

BackgroundThis study aimed to identify the main dietary patterns in Hechuan and clarify how they are associated with obesity phenotypes.MethodsA cross-sectional study was conducted based on a baseline survey of a general population cohort study in southwest China. A semi-quantitative food frequency questionnaire (FFQ) was used to investigate the dietary habits of the participants in the past year. Principal component analysis was conducted to identify the main dietary patterns, and multinomial logistic regression analysis was conducted to describe the association between the major dietary patterns and obesity phenotypes.ResultsThree major dietary patterns were identified. The participants who followed the wheaten food dietary pattern had a higher likelihood of having metabolically normal obesity (MHO) (odds ratio (OR) 1.05, 95% confidence interval (CI) 1.02–1.08), metabolically abnormal normal weight (MUNW) (OR 1.08, 95%CI 1.00–1.16), and metabolically abnormal obesity (MUO) (OR 1.07, 95%CI 1.04–1.11). Specifically, those with the highest wheaten food dietary pattern were 1.60 times more likely to have MHO (OR 1.60, 95%CI 1.25–2.05), 2.62 times more likely to have MUNW (OR 2.62, 95%CI 1.28–5.37), and 2.01 times more likely to have MUO (OR 2.01, 95%CI 1.51–2.69) than those with the lowest wheaten food dietary pattern.ConclusionThe wheaten food dietary pattern may increase the risk of obesity and metabolic abnormalities. Therefore, timely interventions should be carried out for this group of people.
Comparison of 68Ga-PSMA PET and mpMRI for prostate cancer local staging: a comprehensive review and direct meta-analysis
Authors: Jin Xinyu , Cai Yijie , Ren Xiaolu 
Published: November 2024

PurposeThis meta-analysis is conducted to evaluate the comparative diagnostic efficacy of 68Ga-PSMA PET vs. mpMRI in detecting local staging of prostate cancer(PCa).MethodsA comprehensive search was conducted in the PubMed and Embase databases to identify publications up to February 2024. The analysis included studies that evaluated the direct comparison of 68Ga-PSMA PET and mpMRI for local staging of prostate cancer. The reliability of the analyzed studies was evaluated using the QUADAS-2 tool.ResultsThe meta-analysis included 10 articles involving 505 patients, which revealed that both 68Ga-PSMA PET and mpMRI had similar sensitivities and specificities in detecting extracapsular extension(ECE) and seminal vesicle invasion(SVI). The sensitivities for ECE were 0.56 (95% CI: 0.41-0.71) for 68Ga-PSMA PET and 0.57 (95% CI: 0.43-0.71) for mpMRI, and specificities were both 0.84 (68Ga-PSMA PET 95% CI: 0.75-0.91, mpMRI 95% CI: 0.76-0.91).For SVI, sensitivities were 0.57 (95% CI: 0.46-0.68) for 68Ga-PSMA PET and 0.70 (95% CI: 0.60-0.80) for mpMRI, with specificities of 0.92 (95% CI: 0.86-0.96) for 68Ga-PSMA PET and 0.94 (95% CI: 0.89-0.98) for mpMRI. There were no notable variations in sensitivity or specificity between the two methods for detecting ECE and SVI (P = 0.89 and 0.93 for ECE, 0.09 and 0.57 for SVI).ConclusionsThis meta-analysis indicates that 68Ga-PSMA PET has similar sensitivity and specificity to mpMRI in local prostate cancer staging. Nevertheless, the limited study sample size calls for further, larger prospective studies to validate these findings.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=522438, identifier CRD42024522438.
The role of systemic immune-inflammation index in predicting pathological complete response of breast cancer after neoadjuvant therapy and the establishment of related predictive model
Authors: Zhang Ziyue , Zeng Yixuan , Liu Wenbo 
Published: November 2024

ObjectiveTo investigate the role of systemic immune-inflammation index (SII) in complete pathological response (pCR) of breast cancer patients after neoadjuvant chemotherapy, and to establish and validate a nomogram for predicting pCR.MethodsBreast cancer patients were selected from the First Affiliated Hospital of Xi’an Jiaotong University from January 2020 to December 2023. The optimal cut-off value of SII was calculated via ROC curve. The correlation between SII and clinicopathological characteristics was analyzed by Chi-square test. Logistic regression analysis was performed to evaluate the factors that might affect pCR. Based on the results of Logistic regression analysis, a nomogram for predicting pCR was established and validated.ResultsA total of 112 breast cancer patients were included in this study. 33.04% of the patients achieved pCR after neoadjuvant therapy. Chi-square test showed that SII was significantly correlated with pCR (P=0.001). Logistic regression analysis suggested that Ki-67 (P=0.039), therapy cycle (P&lt;0.001), CEA (P=0.025) and SII (P=0.019) were independent predictors of pCR after neoadjuvant chemotherapy. A nomogram based on Ki-67, therapy cycle, CEA and SII showed a good predictive ability.ConclusionKi-67, therapy cycle, CEA and SII were independent predictors of pCR of breast cancer after neoadjuvant chemotherapy. The nomogram based on the above positive factors showed a good predictive ability.
Thematic trends and knowledge-map of tumor-infiltrating lymphocytes in breast cancer: a scientometric analysis
Authors: Shi Jinan , Pan Lei , Ma Feixia , Zhang Ganlu , Duan Yin 
Published: November 2024

BackgroundTumor-infiltrating lymphocytes (TILs), essential for the anti-tumor response, are now recognized as promising and cost-effective biomarkers with both prognostic and predictive value. They are crucial in the precision treatment of breast cancer, particularly for predicting clinical outcomes and identifying candidates for immunotherapy. This study aims to encapsulate the current knowledge of TILs in breast cancer research while evaluating research trends both qualitatively and quantitatively.MethodsPublications on TILs in breast cancer studies from January 1, 2004, to December 31, 2023, were extracted from the Web of Science Core Collection. Co-occurrence and collaboration analyses among countries/regions, institutions, authors, and keywords were performed with Bibliometrix R packages and VOSviewer software. CiteSpace was used for reference and keyword burst detection, while high-frequency keyword layouts were generated using BICOMB. gCLUTO was employed for biclustering analysis of the binary co-keyword matrix.ResultsA total of 2,066 articles on TILs in breast cancer were identified. Between 2004 and 2023, the USA and Milan University led productivity in terms of country/region and institution, respectively. The journals “CANCERS,” “Breast Cancer Research and Treatment,” and “Frontiers in Oncology” published the most articles on this topic. Loi S was the leading author, with the highest number of publications and co-citations. Co-keyword analysis revealed six research hotspots related to TILs in breast cancer. The pathological assessment of TILs using artificial intelligence (AI) remains in its early stages but is a key focus. Burst detection of keywords indicated significant activity in “immune cell infiltration”, “immune checkpoint inhibitors”, and “hormone receptor” over the past three years.ConclusionThis study reviews recent advancements and trends in TILs research in breast cancer using scientometric analysis. The findings offer valuable insights for funding decisions and developing innovative strategies in TILs research, highlighting current research frontiers and trends.
Association between sarcopenia and outcomes of surgically treated oral squamous cell carcinoma: a systematic review and meta‐analysis
Authors: Luo Kai , Chen Kaiming , Li Yu , Ji Yang 
Published: November 2024

BackgroundSarcopenia is a significant predictor of perioperative adverse outcomes for a variety of malignancies and has significant negative effects on surgical and oncology outcomes. The development of sarcopenia is mainly attributed to aging, inactivity, poor nutrition, and decreased testosterone levels, which suggest a poor prognosis after surgery. Therefore, the primary objective of this systematic review and meta-analysis was to determine the effect of sarcopenia on postoperative survival in patients with oral squamous cell carcinoma.MethodsWe systematically searched databases including PubMed, Embase, Cochrane Library, Medline and Web of Science from inception to 12 July 2023, to determine the prognostic value of sarcopenia in oral squamous cell carcinoma. The primary outcome was three-year survival, and secondary outcomes were one-year survival, five-year survival, infection and pneumonia within 30 days postoperatively. Original studies comparing postoperative outcomes in patients with sarcopenia and non-sarcopenia for oral squamous cell carcinoma curative therapy were met the eligibility criteria. We used Endnote X9 for the screening process and used RevMan 5.4.1 for our meta-analysis, all results in this study were performed using a random-effects model. QUIPS (Quality in Prognosis Studies) tools and GRADE (Grading of Recommendations, Assessment, Development and Evaluations) were used for risk of bias and quality of evidence assessment.ResultTen original studies with 50611 patients met the inclusion criteria. Meta-analysis showed that patients with sarcopenia reduced three-year OS after surgery (OR = 0.73, 95% CI = 0.66-0.81, P &lt; 0.00001). The one-year OS (OR = 0.71, 95% CI = 0.67-0.75, P &lt; 0.00001) and five-year OS (OR = 0.60, 95% CI = 0.45-0.79, P = 0.0003) decreased significantly. Patients with sarcopenia had significantly increased 30-day postoperative mortality and an also increased risk of pneumonia (OR = 1.36, 95% CI = 1.24-1.49, P &lt; 0.00001) and surgical site infection (OR = 2.49, 95% CI = 1.06-5.84, P = 0.04).ConclusionSarcopenia is associated with reduced survival in patients after curative resection. Meanwhile, 30-day mortality, postoperative pneumonia and surgical site infection were significantly higher than those in nonsarcopenic patients. Sarcopenia as an extremely important factor of postoperative adverse outcomes in OSCC patients need special attention.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023444424.
Using the length of pleural tag to predetermine pleural invasion by lung adenocarcinomas
Authors: Chen Yingdong , Huang Qianwen , Lin Zeyang , Guo Xiaoxi , Liao Yiting , Li Zhe , Li Anqi 
Published: November 2024

IntroductionPleural contact is present when the underlying pathology of the pleural tag (PT) involves the pleura. This study aimed to preoperatively predict PI by lung adenocarcinomas (ACCs) with PT, exploring CT imaging parameters indicative of PT consisting of pleura and tumor invasiveness.MethodsThis single-center, retrospective study included 84 consecutive patients diagnosed with solid ACCs with PT, who underwent resection at our hospital between May 2019 and July 2023. CT imaging parameters analyzed included: LPT (the length of PT), defined as the shortest distance from the tumor edge to the retracted pleura. Patients were divided into PI -ve group and PI +ve group according to PI status. Regression analyses were used to determine predictive factors for PI.ResultsThe study evaluated 84 patients (mean age, 62.0 ± 13.8 years; 45 females) pathologically diagnosed with ACCs with PT on CT. Multivariate regression analysis identified tumor size (OR 1.18, 95% CI 1.09-1.29, p = 0.000), LPT (OR 0.48, 95% CI 0.25-0.91, p = 0.03) and multiple PTs to multiple types of pleura (OR 3.58, 95% CI 1.13-11.20, p = 0.03) as independent predictors for PI. The combination of these CT features improved the predictive performance for preoperatively identifying PI, achieving high specificity and moderate accuracy. The sensitivity of predicting PI with only LPT &lt; 3 mm was 96.9%.ConclusionThis study determined that LPT is effective for predetermining PI in ACCs with PT.
Longitudinal detection of somatic mutations in the saliva of head and neck squamous cell carcinoma–affected patients: a pilot study
Authors: Dal Secco Chiara , Tel Alessandro , Allegri Lorenzo , Baldan Federica , Curcio Francesco , Sembronio Salvatore , Faletra Flavio , Robiony Massimo , Damante Giuseppe , Mio Catia 
Published: November 2024

IntroductionLiquid biopsy is gaining momentum for diagnosis and surveillance of cancer patients. Indeed, head and neck squamous cell carcinoma (HNSCC) is burdened with poor prognosis and high recurrence rates after treatment. It is therefore crucial to be able to detect minimal residual disease early after radical treatment or relapse, so surgery can be performed when the disease is still resectable. In this scenario, aim of this study is to create a liquid biopsy-based pipeline able to detect somatic tumor mutations in a cohort of HNSCC-affected patients undergoing follow-up after surgical intervention.MethodsOur cohort included 17 patients diagnosed with HNSCC over 4 years. The first saliva sample was collected before surgery while the rest were collected during the subsequent visits, according to the follow-up schedule. Salivary DNA (sDNA) was extracted, and a 52-gene next generation sequencing (NGS)-based panel was used for somatic variants detection.Results41.2% of samples collected before surgery bore a deleterious variant (n=7/17). Overall, 29.2% of samples harbored at least a pathogenic variant (n=21/72). The most frequently mutated genes were TP53 (80%), FBXW7 (8%), PDGFRA (4%) and PTEN (4%). Finally, three patients experienced a loco-regional relapse by clinical evaluations, anticipated in 67% of cases by the molecular one (n=2/3).DiscussionOur data indicate that sDNA could aid in the monitoring of patients’ follow-up as low-frequency somatic mutations could be assessed from the saliva of HNSCC patients. Prospectively, these results suggest that salivary-based liquid biopsy might pave the way for personalized molecular therapies based on mutational data.