Construction and validation of a predictive model for the risk of myelosuppression after first-line chemotherapy in patients with advanced colorectal cancer by WANG Xuexing, ZHANG Rong, CHU Jie, LIU Zhijin

“…Additionally, the model's clinical utility was evaluated using calibration and clinical decision curves.Results A total of 257 patients were included, 112 individuals exhibited bone CIM, corresponding to an incidence rate of 43.58%. …”
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Effectiveness of shared decision-making for glycaemic control among type 2 diabetes mellitus adult patients: A systematic review and meta-analysis. by Edosa Tesfaye Geta, Dufera Rikitu Terefa, Wase Benti Hailu, Wolkite Olani, Emiru Merdassa, Markos Dessalegn, Miesa Gelchu, Dereje Chala Diriba

“…The mean differences (MD) of glycated hemoglobin (HbA1c) were pooled using a random effect model (REM), and sub-group analysis were performed to evaluate the effect size differences across the duration of the follow-up period, modes of intervention, and baseline glycated hemoglobin level of patient groups. …”
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Co-infection of SARS‐CoV‐2 and influenza A/B among patients with COVID-19: a systematic review and meta-analysis by Monireh Golpour, Hossein Jalali, Reza Alizadeh-Navaei, Masoumeh Rezaei Talarposhti, Tahoora Mousavi, Ali Asghar Nadi Ghara

“…The global online databases were used to identify relevant studies published between December 2019 and July 2024. Data analysis was performed using STATA Ver. 17 software, and standard errors of prevalence were calculated using the binomial distribution formula. …”
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Health system costs of a breast cancer early diagnosis programme in a rural district of Rwanda: a retrospective, cross-sectional economic analysis by Lydia E Pace, Lawrence N Shulman, Jean Claude Mugunga, Parsa Erfani, Kayleigh Pavitra Bhangdia, Rashidah Nambaziira, Lysa Carolle Niteka, Jean Marie Vianney Dusengimana, John Ruhumuriza, Marie Louise Uwineza, Vestine Rugema, Cyprien Shyirambere, Melany Rabideau

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Impaired pulmonary function increases the risk of gout: evidence from a large cohort study in the UK Biobank by Zijian Kang, Jianzheng Zhang, Chen Zhu, Ying Zhu, Hanlei Jiang, Qiang Tong, Sheng-Ming Dai

“…Methods Our study included 420,002 participants with complete pulmonary function data from the UK Biobank. Logistic regression was used to evaluate gout prevalence among individuals with different pulmonary function statuses. …”
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Does coenzyme Q10 improve semen quality and circulating testosterone level? a systematic review and meta-analysis of randomized controlled trials by Tunmise M. Akhigbe, Tunmise M. Akhigbe, Fabrael B. Fidelis, Fabrael B. Fidelis, Adebayo O. Adekunle, Adebayo O. Adekunle, Victory J. Ashonibare, Victory J. Ashonibare, Bolaji A. Akorede, Bolaji A. Akorede, Mansur S. Shuaibu, Mansur S. Shuaibu, Suliat A. Hassan, Cecilia A. Adegbola, Cecilia A. Adegbola, Precious J. Ashonibare, Precious J. Ashonibare, Opeyemi M. Oladapo, Opeyemi M. Oladapo, Adetomiwa E. Adeogun, Adetomiwa E. Adeogun, Adetomiwa E. Adeogun, Seun G. Bamidele, Seun G. Bamidele, Precious A. Oyedokun, Precious A. Oyedokun, Mungala Mukolokota, Mungala Mukolokota, Omotolani S. Kukoyi, Omotolani S. Kukoyi, Ayoola A. Oladipo, Ayoola A. Oladipo, Olayinka E. Adelowo, Olayinka E. Adelowo, Marvelous D. Akangbe, Marvelous D. Akangbe, Jennifer R. Hughes, Albert M. Ricken, Martine Culty, Maria C. W. Avellar, Roland E. Akhigbe, Roland E. Akhigbe

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Surgical Outcomes and Sociodemographic Disparities Across All Races: An ACS-NSQIP and NHIS Multi-Institutional Analysis of Over 7.5 Million Patients by Dany Y. Matar, BA, Samuel Knoedler, Anthony Y. Matar, BS, Sarah Friedrich, PhD, Harriet Kiwanuka, MD, Ryoko Hamaguchi, MD, Carla M. Hamwi, BS, Gabriel Hundeshagen, MD, MMS, Valentin Haug, MD, Ulrich Kneser, MD, PhD, Keisha Ray, PhD, Dennis P. Orgill, MD, PhD, Adriana C. Panayi, MD, PhD

“…In a separate, independent analysis of the 2019 to 2020 National Health Interview Survey (NHIS) database, we examined sociodemographic racial/ethnic normative data. …”
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Gender and melanoma subtype‐based prognostic implications of MUC16 and TTN co‐occurrent mutations in melanoma: A retrospective multi‐study analysis by Nilesh Kodali, Simona Alomary, Abhijit Bhattaru, Ahmed Eldaboush, Robert A. Schwartz, Shari R. Lipner

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Association between triglyceride-glucose index and all-cause mortality in critically ill patients with acute myocardial infarction: analysis of the MIMIC-IV database by Xin Su, Yujing Zhou, Jie Chang, Xin Zhao, Haiyu Li, Haiqiang Sang

“…Our research analyzed the correlation between the TyG index and the risk of mortality in patients with AMI, in order to evaluate the influence of the TyG index on the prognosis of this population.Methods1205 ICU patients with AMI were analyzed in this retrospective cohort analysis, and the necessary data were obtained from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. …”
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The Effect of Colloids versus Crystalloids for Goal-Directed Fluid Therapy on Prognosis in Patients Undergoing Noncardiac Surgery: A Meta-Analysis of Randomized Controlled Trials by Wang Niu, Junyi Li, Shouping Wang

“…Of 332 articles retrieved, 15 RCTs (involving 2,956 patients undergoing noncardiac surgery) were included in the final analysis. When the data were pooled, patients in the colloids and crystalloids group revealed no difference in postoperative composite complications (OR = 0.84, 95% CI = 0.51–1.38, P=0.49) under GDFT. …”
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Network characteristics of referrals for chronic disease patients: results from hierarchical medical reform in Shenzhen, China by Fangfang Gong, Junxia Luo, Zhihong Wang, Ping Tang, Guangyu Hu, Ying Zhou, Hanqun Lin

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Long-term Characterization of Urban PM10 in Hungary by Zita Ferenczi, Kornélia Imre, Mónika Lakatos, Ágnes Molnár, László Bozó, Emese Homolya, András Gelencsér

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Association between red blood cell distribution width and genetic risk in patients with rheumatoid arthritis: a prospective cohort study and Mendelian randomization analysis by Mingyang Chen, Jing Lei, Zhenqiu Liu, Renjia Zhao, Yanfeng Jiang, Kelin Xu, Tiejun Zhang, Chen Suo, Xingdong Chen

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Effects of manual osteopathic interventions on psychometric and psychophysiological indicators of anxiety, depression and stress in adults: a systematic review and meta-analysis of... by Darren J Edwards, Jerry Draper-Rodi, Danny Miller, Josh Hope-Bell, Andrew MacMillan, Tom C Gordon

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Thoracic perfusion of antiangiogenic agents combined with chemotherapy for treating malignant pleural effusion in non-small cell lung cancer: a network meta-analysis by Yan Xu, Wei Si, Yingying Cui, Liming Jiang, Yinan Yu, Xiaohua Zhu

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Effects of inulin-type fructans supplementation on cardiovascular disease risk factors: a protocol for a systematic review and meta-analysis of randomised controlled trials by Russell J de Souza, Lawrence Mbuagbaw, John L Sievenpiper, Dena Zeraatkar, Laura Banfield, Vanessa Ha, David J A Jenkins, Jhalok Ronjan Talukdar, Matthew Adam Cooper, Lyuba Lyutvyn, Rahim Ali, Rachel Bierbrier, Sabrina Janes, Pauline B Darling

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Testicular and epididymal dysfunctions: searching a new index for the differential diagnosis by Fernando T. Andrade-Rocha, Walter D. Cardona-Maya

“…A total of 202 subject data were evaluated in two groups: fertile men with children naturally conceived within 1 year of unprotected intercourse (n = 36) and infertile men (n = 166) who had attempted a pregnancy more than 1 year with unprotected intercourse. …”
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Oral health in patients with cleft lip and palate: a systematic literature review and meta-analysis of periodontal and dental disease and oral microbiota (part 1) by A. Pardo, V. Vanti, F. Lonardi, A. Signoriello, G. Lobbia, G. Lombardo, L. Trevisiol, A. D’Agostino

“…The Newcastle–Ottawa scale and the Joanna Briggs Institute checklist were applied to evaluate study quality. Results A total of 24 studies underwent systematic review, 18 of which entered meta-analysis. …”
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Factors associated with pulmonary complications after hepatectomy and establishment of nomogram: A real-world retrospective study by Kunyu Han, Hui Liu, Ruiping Bai, Jiarui Li, Linjuan Zhang, Rui An, Di Peng, Jiamin Zhao, Mengwen Xue, Xin Shen

“…Therefore, exploring the related influencing factors helps identify high-risk groups early and improve patient prognosis. Methods: Clinical data were retrospectively collected from a real-world setting. …”
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Gastric cancer incidence, mortality and burden in adolescents and young adults: a time-trend analysis and comparison among China, South Korea, Japan and the USA by Jian Li, Yao Zhang, Si Lin Wu, Yi Fu, Ji Sheng Wang

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