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International Journal of Cancer Jun 2024The MRE11, RAD50, and NBN genes encode the MRN complex sensing DNA breaks and directing their repair. While carriers of biallelic germline pathogenic variants (gPV)...
The MRE11, RAD50, and NBN genes encode the MRN complex sensing DNA breaks and directing their repair. While carriers of biallelic germline pathogenic variants (gPV) develop rare chromosomal instability syndromes, the cancer risk in heterozygotes remains controversial. We performed a systematic review and meta-analysis of 53 studies in patients with different cancer diagnoses to better understand the cancer risk. We found an increased risk (odds ratio, 95% confidence interval) for gPV carriers in NBN for melanoma (7.14; 3.30-15.43), pancreatic cancer (4.03; 2.14-7.58), hematological tumors (3.42; 1.14-10.22), and prostate cancer (2.44, 1.84-3.24), but a low risk for breast cancer (1.29; 1.00-1.66) and an insignificant risk for ovarian cancer (1.53; 0.76-3.09). We found no increased breast cancer risk in carriers of gPV in RAD50 (0.93; 0.74-1.16; except of c.687del carriers) and MRE11 (0.87; 0.66-1.13). The secondary burden analysis compared the frequencies of gPV in MRN genes in patients from 150 studies with those in the gnomAD database. In NBN gPV carriers, this analysis additionally showed a high risk for brain tumors (5.06; 2.39-9.52), a low risk for colorectal (1.64; 1.26-2.10) and hepatobiliary (2.16; 1.02-4.06) cancers, and no risk for endometrial, and gastric cancer. The secondary burden analysis showed also a moderate risk for ovarian cancer (3.00; 1.27-6.08) in MRE11 gPV carriers, and no risk for ovarian and hepatobiliary cancers in RAD50 gPV carriers. These findings provide a robust clinical evidence of cancer risks to guide personalized clinical management in heterozygous carriers of gPV in the MRE11, RAD50, and NBN genes.
PubMed: 38924040
DOI: 10.1002/ijc.35066 -
Journal of Robotic Surgery Jun 2024A systematic review and meta-analysis were performed to investigate the efficacy of the AirSeal Valveless Trocar Needle Insufflation System in robot-assisted partial... (Meta-Analysis)
Meta-Analysis Comparative Study Review
A systematic review and meta-analysis were performed to investigate the efficacy of the AirSeal Valveless Trocar Needle Insufflation System in robot-assisted partial nephrectomy (RAPN). The study compared the differences in perioperative outcomes between the AirSeal insufflation group (AIS) and the conventional insufflation group (CIS). A systematic search of databases such as PubMed, Embase, Cochrane library, and Web of science was performed to identify studies reporting perioperative outcomes between the AirSeal insufflation group (AIS) and the conventional insufflation group (CIS) in RAPN. The study protocol is registered with PROSPERO (CRD42024524335). The primary outcome was to compare the incidence of subcutaneous emphysema (SCE) and postoperative pain scores between the two approaches. The review included four studies with 379 patients, 194 in the AIS group and 185 in the CIS group. Baseline characteristics of the two groups were similar in all outcomes. SCE was significantly lower in the AIS group than in the CIS group [(OR) 0.30 (0.16, 0.54), p < 0.001]. Postoperative 12-h pain scores were also significantly lower in the AIS group compared to the CIS group [(WMD) - 0.93 (- 1.67, - 1.09), p = 0.014]. Both groups showed a significant reduction in length of hospitalization [(WMD) - 0.12 (- 0.84, 0.60), p = 0.746], thermal ischemia time [(WMD) 4.72 (- 5.71, 15.15), p = 0.375], amount of lost hemoglobin [(WMD) - 0.19 (- 0.53, 0.15), p = 0.284], pneumothorax [(OR) 0.13 (0.02,1.10), p = 0.062], mediastinal emphysema [(OR) 0.55 (0.20, 1.46), p = 0.230], and 4-h pain score [(WMD) - 0.25 (- 1.16, 0.65), p = 0.584]; no significant differences were observed. The incidence of subcutaneous emphysema SCE and 12-h pain scores were significantly lower in the AIS group compared to the CIS group. The AirSeal system demonstrated similar efficacy and a higher safety profile than the conventional insufflation system in robotic-assisted partial nephrectomy; however, due to the lack of a randomized study on the topic, further data are needed.
Topics: Robotic Surgical Procedures; Humans; Nephrectomy; Insufflation; Pain, Postoperative; Subcutaneous Emphysema; Treatment Outcome; Postoperative Complications; Kidney Neoplasms
PubMed: 38922386
DOI: 10.1007/s11701-024-02023-4 -
Minerva Anestesiologica Jun 2024Decision-making about organ donation (OD) is influenced by interrelated cognitive and non-cognitive factors. The identification of these factors in the general...
INTRODUCTION
Decision-making about organ donation (OD) is influenced by interrelated cognitive and non-cognitive factors. The identification of these factors in the general population and among healthcare professionals (HCP) in Italy are key ethical and scientific requirements to inform targeted communication and policy-making interventions, and to promote decision-making processes that are truly informed.
EVIDENCE ACQUISITION
A systematic review of articles published between January 1, 1999, and January 31, 2024 was performed by searching four databases using these terms: "organ donation" AND (attitude OR opinion OR knowledge OR awareness OR intention OR beliefs OR norms OR perception) AND (Italy OR Italian). The reference sections of included articles were scrutinized for additional references.
EVIDENCE SYNTHESIS
Most respondents (lay citizens and HCPs) were in favor of OD, but many (mainly but not exclusively lay citizens) would not authorize OD in the event of death of a family member. Lack of knowledge about OD and the gap between demand and supply of organs, fear of body mutilation, doubts about the criteria for brain death diagnosis, doubts about the wishes of the deceased family member, and distrust towards medical doctors and the healthcare system were the most commonly reported reasons, confirming that cognitive and non-cognitive factors are at play.
CONCLUSIONS
The majority of the Italian population supports OD, but cognitive and non-cognitive barriers are present even among HCPs. Communication campaigns, encouraging family discussions about OD, providing better education for HCPs (including medical and nursing students), and making it easier to sign OD cards may promote informed decision-making and possibly increase consent rates.
PubMed: 38922284
DOI: 10.23736/S0375-9393.24.18098-4 -
Memorias Do Instituto Oswaldo Cruz 2024The coinfection between malaria (ML) and arboviral diseases represents a major global public health problem, particularly in tropical and subtropical countries. Despite...
The coinfection between malaria (ML) and arboviral diseases represents a major global public health problem, particularly in tropical and subtropical countries. Despite its relevance, this topic is still insufficiently discussed in the current literature. Here, we aimed to investigate the worldwide distribution, symptoms, and diagnosis during coinfection between ML and arboviral diseases. We conducted a systematic review following the Preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement and assessed the selection and eligibility criteria, created and diagrammed maps, and analysed major symptoms with 95% confidence intervals (CI) using prevalence ratio and effect size, also performing latent class analysis. A total of 85,485 studies were retrieved, of which 56 were included: 57.14% in Asia, 25% in Africa, 14.30% in South America, and 3.56% in Europe. A total of 746 individuals were reported to be coinfected with Plasmodium and arbovirus. Concurrent ML, Dengue (DEN), Chikungunya (CHIK), and Zika (ZIK) patients are more likely to present headache and skin rash. Regarding diagnosis, 58,253 were made, of which 38,176 were positive (ML and at least one arboviral disease). The magnitude of these pathogens' coexistence points out the pressing need for improvements in public health policies towards diagnosis and prevention of both diseases, especially in endemic areas.
Topics: Humans; Coinfection; Malaria; Arbovirus Infections; Global Health; Prevalence
PubMed: 38922217
DOI: 10.1590/0074-02760240015 -
Lung Ultrasonography Accuracy for Diagnosis of Adult Pneumonia: Systematic Review and Meta-Analysis.Advances in Respiratory Medicine Jun 2024Pneumonia is a ubiquitous health condition with severe outcomes. The advancement of ultrasonography techniques allows its application in evaluating pulmonary diseases,... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Pneumonia is a ubiquitous health condition with severe outcomes. The advancement of ultrasonography techniques allows its application in evaluating pulmonary diseases, providing safer and accessible bedside therapeutic decisions compared to chest X-ray and chest computed tomography (CT) scan. Because of its aforementioned benefits, we aimed to confirm the diagnostic accuracy of lung ultrasound (LUS) for pneumonia in adults.
METHODS
A systematic literature search was performed of Medline, Cochrane and Crossref, independently by two authors. The selection of studies proceeded based on specific inclusion and exclusion criteria without restrictions to particular study designs, language or publication dates and was followed by data extraction. The gold standard reference in the included studies was chest X-ray/CT scan or both.
RESULTS
Twenty-nine (29) studies containing 6702 participants were included in our meta-analysis. Pooled sensitivity, specificity and PPV were 92% (95% CI: 91-93%), 94% (95% CI: 94 to 95%) and 93% (95% CI: 89 to 96%), respectively. Pooled positive and negative likelihood ratios were 16 (95% CI: 14 to 19) and 0.08 (95% CI: 0.07 to 0.09). The area under the ROC curve of LUS was 0. 9712.
CONCLUSIONS
LUS has high diagnostic accuracy in adult pneumonia. Its contribution could form an optimistic clue in future updates considering this condition.
Topics: Humans; Pneumonia; Ultrasonography; Adult; Sensitivity and Specificity; Lung
PubMed: 38921063
DOI: 10.3390/arm92030024 -
Current Oncology (Toronto, Ont.) Jun 2024In controlled phase II trials, major prognostic factors need to be well balanced between arms. The main procedures used are SPBR (Stratified Permuted Block...
How to Balance Prognostic Factors in Controlled Phase II Trials: Stratified Permuted Block Randomization or Minimization? An Analysis of Clinical Trials in Digestive Oncology.
In controlled phase II trials, major prognostic factors need to be well balanced between arms. The main procedures used are SPBR (Stratified Permuted Block Randomization) and minimization. First, we provide a systematic review of the treatment allocation procedure used in gastrointestinal oncology controlled phase II trials published in 2019. Second, we performed simulations using data from six phase II studies to measure the impacts of imbalances and bias on the efficacy estimations. From the 40 articles analyzed, all mentioned randomization in both the title and abstract, the median number of patients included was 109, and 77.5% were multicenter. Of the 27 studies that reported at least one stratification variable, 10 included the center as a stratification variable, 10 used minimization, 9 used SBR, and 8 were unspecified. In real data studies, the imbalance increased with the number of centers. The total and marginal imbalances were higher with SBR than with minimization, and the difference increased with the number of centers. The efficiency estimates per arm were close to the original trial estimate in both procedures. Minimization is often used in cases of numerous centers and guarantees better similarity between arms for stratification variables for total and marginal imbalances in phase II trials.
Topics: Humans; Clinical Trials, Phase II as Topic; Prognosis; Randomized Controlled Trials as Topic; Gastrointestinal Neoplasms; Research Design; Digestive System Neoplasms
PubMed: 38920742
DOI: 10.3390/curroncol31060259 -
Cells Jun 2024Tumour hypoxia is a known microenvironmental culprit for treatment resistance, tumour recurrence and promotion of metastatic spread. Despite the long-known existence of... (Review)
Review
Tumour hypoxia is a known microenvironmental culprit for treatment resistance, tumour recurrence and promotion of metastatic spread. Despite the long-known existence of this factor within the tumour milieu, hypoxia is still one of the greatest challenges in cancer management. The transition from invasive and less reliable detection methods to more accurate and non-invasive ways to identify and quantify hypoxia was a long process that eventually led to the promising results showed by functional imaging techniques. Hybrid imaging, such as PET-CT, has the great advantage of combining the structural or anatomical image (offered by CT) with the functional or metabolic one (offered by PET). However, in the context of hypoxia, it is only the PET image taken after appropriate radiotracer administration that would supply hypoxia-specific information. To overcome this limitation, the development of the latest hybrid imaging systems, such as PET-MRI, enables a synergistic approach towards hypoxia imaging, with both methods having the potential to provide functional information on the tumour microenvironment. This study is designed as a systematic review of the literature on the newest developments of PET-MRI for the imaging of hypoxic cells in breast cancer. The analysis includes the affinity of various PET-MRI tracers for hypoxia in this patient group as well as the correlations between PET-specific and MRI-specific parameters, to offer a broader view on the potential for the widespread clinical implementation of this hybrid imaging technique.
Topics: Humans; Breast Neoplasms; Magnetic Resonance Imaging; Positron-Emission Tomography; Female; Cell Hypoxia; Tumor Microenvironment; Tumor Hypoxia
PubMed: 38920676
DOI: 10.3390/cells13121048 -
Annals of the Academy of Medicine,... Mar 2024Automated machine learning (autoML) removes technical and technological barriers to building artificial intelligence models. We aimed to summarise the clinical... (Review)
Review
INTRODUCTION
Automated machine learning (autoML) removes technical and technological barriers to building artificial intelligence models. We aimed to summarise the clinical applications of autoML, assess the capabilities of utilised platforms, evaluate the quality of the evidence trialling autoML, and gauge the performance of autoML platforms relative to conventionally developed models, as well as each other.
METHOD
This review adhered to a prospectively registered protocol (PROSPERO identifier CRD42022344427). The Cochrane Library, Embase, MEDLINE and Scopus were searched from inception to 11 July 2022. Two researchers screened abstracts and full texts, extracted data and conducted quality assessment. Disagreement was resolved through discussion and if required, arbitration by a third researcher.
RESULTS
There were 26 distinct autoML platforms featured in 82 studies. Brain and lung disease were the most common fields of study of 22 specialties. AutoML exhibited variable performance: area under the receiver operator characteristic curve (AUCROC) 0.35-1.00, F1-score 0.16-0.99, area under the precision-recall curve (AUPRC) 0.51-1.00. AutoML exhibited the highest AUCROC in 75.6% trials; the highest F1-score in 42.3% trials; and the highest AUPRC in 83.3% trials. In autoML platform comparisons, AutoPrognosis and Amazon Rekognition performed strongest with unstructured and structured data, respectively. Quality of reporting was poor, with a median DECIDE-AI score of 14 of 27.
CONCLUSION
A myriad of autoML platforms have been applied in a variety of clinical contexts. The performance of autoML compares well to bespoke computational and clinical benchmarks. Further work is required to improve the quality of validation studies. AutoML may facilitate a transition to data-centric development, and integration with large language models may enable AI to build itself to fulfil user-defined goals.
Topics: Humans; Machine Learning; Lung Diseases; ROC Curve; Brain Diseases; Area Under Curve
PubMed: 38920245
DOI: 10.47102/annals-acadmedsg.2023113 -
Minerva Urology and Nephrology Jun 2024Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the...
INTRODUCTION
Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the existing nomograms. Infectious events and in particular the septic risk, are one of the most common and in some cases life threatening complication in patients with urolithiasis. We performed a scoping review to provide an overview of the current application of AI in prediction the infectious complications in patients affected by urolithiasis.
EVIDENCE ACQUISITION
A systematic scoping review of the literature was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR) guidelines by screening Medline, PubMed, and Embase to detect pertinent studies.
EVIDENCE SYNTHESIS
A total of 467 articles were found, of which nine met the inclusion criteria and were considered. All studies are retrospective and published between 2021 and 2023. Only two studies performed an external validation of the described models. The main event considered is urosepsis in four articles, urinary tract infection in two articles and diagnosis of infection stones in three articles. Different AI models were trained, each of which exploited several types and numbers of variables. All studies reveal good performance. Random forest and artificial neural networks seem to have higher AUC, specificity and sensibility and perform better than the traditional statistical analysis.
CONCLUSIONS
Further prospective and multi-institutional studies with external validation are needed to better clarify which variables and AI models should be integrated in our clinical practice to predict infectious events.
Topics: Humans; Urolithiasis; Artificial Intelligence; Urinary Tract Infections; Risk Assessment; Sepsis; Machine Learning
PubMed: 38920010
DOI: 10.23736/S2724-6051.24.05686-6 -
European Annals of Allergy and Clinical... Jun 2024Food allergy can range from mild to severe, life-threatening reactions with various symptoms and organ involvement. The impact of asthma on severe food-induced allergic... (Review)
Review
Food allergy can range from mild to severe, life-threatening reactions with various symptoms and organ involvement. The impact of asthma on severe food-induced allergic reactions is not completely understood. In the hypothesis that asthma increases the risk of severe food-induced allergic reactions, the aim of this study is to compare the incidence of severe food-induced allergic reactions in patients with history of asthma compared with patients without history of asthma. We performed a systematic research on electronic databases, including PubMed, Scopus, and Web of Science. Observational studies, studies reporting medical characteristics of patients diagnosed with food allergy, and studies reporting medical history of patients with allergic reactions were included. The primary outcome was the incidence of severe food-induced allergic reactions in patients with history of asthma compared with patients without history of asthma. The protocol of this review was registered in PROSPERO (CRD42023448293). Eight studies with a total of 90,367 patients met the inclusion criteria and were included, with a total population of 28,166 of patients with food allergy. The incidence of severe food-induced allergic reactions in patients with history of asthma compared with patients without history of asthma was increased (OR = 1.28; 95% CI 1.03-1.59; p = 0.03; I2 = 59%). Individuals with both food allergy and asthma are at high risk of severe, potentially fatal allergic reactions. Healthcare professionals should prioritize prevention and management strategies for these subjects.
PubMed: 38919132
DOI: 10.23822/EurAnnACI.1764-1489.351