1,720,962 research outputs found

    Future AI Will Most Likely Predict Antibody-Drug Conjugate Response in Oncology: A Review and Expert Opinion

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    The medical research field has been tremendously galvanized to improve the prediction of therapy efficacy by the revolution in artificial intelligence (AI). An earnest desire to find better ways to predict the effectiveness of therapy with the use of AI has propelled the evolution of new models in which it can become more applicable in clinical settings such as breast cancer detection. However, in some instances, the U.S. Food and Drug Administration was obliged to back some previously approved inaccurate models for AI-based prognostic models because they eventually produce inaccurate prognoses for specific patients who might be at risk of heart failure. In light of instances in which the medical research community has often evolved some unrealistic expectations regarding the advances in AI and its potential use for medical purposes, implementing standard procedures for AI-based cancer models is critical. Specifically, models would have to meet some general parameters for standardization, transparency of their logistic modules, and avoidance of algorithm biases. In this review, we summarize the current knowledge about AI-based prognostic methods and describe how they may be used in the future for predicting antibody-drug conjugate efficacy in cancer patients. We also summarize the findings of recent late-phase clinical trials using these conjugates for cancer therapy

    Advances in anti-BRAF therapies for lung cancer

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    : Non-small cell lung cancer (NSCLC) is one of the most frequent causes of mortality in the western world. v-raf murine sarcoma viral oncogene homolog B (BRAF) is a member of the Raf kinase family and plays a critical role in cellular growth, proliferation, and differentiation through the mitogen-activated protein kinase pathway. The incidence of BRAF mutations in NSCLC is low, accounting for 0-3% of all cases of lung cancer. Given the results obtained in metastatic melanoma, several studies have reported the efficacy of anti-BRAF therapies in NSCLC treatment. In this review, we describe changes in the landscape of BRAF-mutated lung cancer treatment and analyze insights from major clinical trials in the context of future therapeutic prospects

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    Transoral septotomy versus Z-POEM in the treatment of Zenker diverticulum: a multicenter case-matched comparative study

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    Introduction: Transoral septotomy has become the favored treatment of Zenker Diverticulum (ZD), with POEM becoming a mini-invasive option also in ZD. The gold-standard treatment of ZD is still debated. We designed a case-matched comparative study to evaluate whether POEM (Z-POEM) could be as effective as stapler, traction-assisted Transoral Septotomy (TS) as first-line treatment of ZD. Materials and methods: Consecutive naïve patients between 2015 and 2022 were enrolled in two high-volume centers. Barium-swallow and endoscopy were performed before and after surgery. Symptoms were assessed using a dedicated questionnaire. A control group was generated by matching patients who underwent Z-POEM with those who underwent TS. For matching the patients, a one-to-one nearest neighbor approach was used. Patients were matched for: septum length, symptoms duration, age, and sex. Results: After matching, 26 patients in each group were enrolled. The procedures were completed successfully in all patients in both groups, and mortality was null. TS required a shorter operative time. One leakage was detected in the Z-POEM group while one mucosal tear was detected in the TS group, both treated conservatively. At a median follow-up of 45 months (IQR: 27-68) for TS and 66 months (IQR: 58-76) for Z-POEM, a successful outcome was achieved in 96.2% in both groups. Post-operative symptom scores decreased in all patients in both groups. Conclusions: This is the first study comparing Z-POEM and TS. Both the minimally invasive treatments are effective for naïve Zenker Diverticulum. TS provides a lower rate of intraoperative complications and a shorter operative time

    Validation of Padova Classification of Post‐Fundoplication Outflow Obstruction on High‐Resolution Manometry in an International Multi‐Center Study

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    Background: Dysphagia after laparoscopic Nissen fundoplication (LNF) is common and may be due to post-fundoplication outflow obstruction (PFOO) as defined by high-resolution manometry (HRM) using the Padova Classification. This study aimed to compare clinical and HRM parameters between patients with manometric PFOO and those with a functioning, effective fundoplication (FELF), and to evaluate treatment outcomes in PFOO patients. Methods: This retrospective study from two international centers included patients who underwent LNF and postoperative HRM between January 2000 and January 2025. Patients were categorized into PFOO (manometric PFOO) and FELF (manometric FELF and normal reflux study) groups. HRM parameters including LES basal pressure, integrated relaxation pressure (IRP), and esophageal body function were compared. Postoperative dysphagia was assessed clinically, and treatment outcomes in PFOO patients were evaluated. Results: Among 106 patients (62 PFOO, 44 FELF), the PFOO group showed significantly higher median LES basal pressure (41.2 vs. 23.7 mmHg, p < 0.01), IRP (19.3 vs. 10.3 mmHg, p < 0.01), and LES lengths (p = 0.01). PFOO patients had an increased incidence of elevated intrabolus pressure and premature swallows (p < 0.01). Dysphagia was reported in 89% of PFOO patients versus 5% in FELF (p < 0.01). Of symptomatic PFOO patients undergoing retreatment (pneumatic dilation, redo surgery, or both), 89% achieved symptom improvement. Conclusions: This first study applying the Padova Classification confirms HRM can distinguish obstructive from functional fundoplications post-LNF, supporting its diagnostic role in managing postoperative dysphagia
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