The association between dietary intakes of methionine, choline and betaine and breast cancer risk: A systematic review and meta-analysis.

BACKGROUND AND AIM: This study evaluates the associations between dietary intakes and circulating blood levels of methionine, choline or betaine and breast cancer risk, which remains currently unclear. METHODS: Systematic searches for observational epidemiological studies were performed of the MEDLINE, Embase, and Web of Science databases through July, 2022. Two review authors independently screened titles and abstracts against the eligibility criteria at a first stage, and screened full texts of potentially eligible records at a second stage, followed by data extraction from qualified studies. Quality of evidence was assessed using the Newcastle-Ottawa scale quality assessment tool. Risk estimates were calculated using random-effects meta-analysis. RESULTS: In total, 21 studies were selected for qualitative analyses and 18 studies were included in the meta-analyses. Random-effects analysis combining prospective cohort (N = 8) or case-control studies (N = 10) showed little evidence of an association between dietary intake of methionine or betaine and the risk of breast cancer. However, inconclusive evidence for a significant inverse association between choline intake and breast cancer risk was found in case-control studies (odds ratio [OR] estimates for highest vs. lowest intakes = 0.38; 95 % CI: 0.16-0.86) but not in prospective cohort studies (hazard ratio [HR] estimates for highest vs. lowest intakes = 1.01; 95 % CI: 0.92-1.12). CONCLUSION: This study did not suggest an effect of dietary intake of methionine, choline, nor betaine on breast cancer risk, mainly due to the lack of precision of the combined risk estimates as few studies are available. To overcome this uncertainty, more well-designed studies with relevant individual-level covariates are needed.

Machine learning computational tools to assist the performance of systematic reviews: A mapping review.

BACKGROUND: Within evidence-based practice (EBP), systematic reviews (SR) are considered the highest level of evidence in that they summarize the best available research and describe the progress in a determined field. Due its methodology, SR require significant time and resources to be performed; they also require repetitive steps that may introduce biases and human errors. Machine learning (ML) algorithms therefore present a promising alternative and a potential game changer to speed up and automate the SR process. This review aims to map the current availability of computational tools that use ML techniques to assist in the performance of SR, and to support authors in the selection of the right software for the performance of evidence synthesis. METHODS: The mapping review was based on comprehensive searches in electronic databases and software repositories to obtain relevant literature and records, followed by screening for eligibility based on titles, abstracts, and full text by two reviewers. The data extraction consisted of listing and extracting the name and basic characteristics of the included tools, for example a tool's applicability to the various SR stages, pricing options, open-source availability, and type of software. These tools were classified and graphically represented to facilitate the description of our findings. RESULTS: A total of 9653 studies and 585 records were obtained from the structured searches performed on selected bibliometric databases and software repositories respectively. After screening, a total of 119 descriptions from publications and records allowed us to identify 63 tools that assist the SR process using ML techniques. CONCLUSIONS: This review provides a high-quality map of currently available ML software to assist the performance of SR. ML algorithms are arguably one of the best techniques at present for the automation of SR. The most promising tools were easily accessible and included a high number of user-friendly features permitting the automation of SR and other kinds of evidence synthesis reviews.

Understanding the use of evidence in the WHO Classification of Tumours: a protocol for an evidence gap map of the classification of tumours of the lung.

INTRODUCTION: There are gaps in the evidence base of tumour classification despite being essential for cancer diagnosis, treatment and patient care. The WHO in charge of the production of an updated international classification, the WHO Classification of Tumours (WCT), aims to adapt evidence gap map (EGM) methodology to inform future editions of the WCT, by providing a visual summary of the existing evidence. METHODS AND ANALYSIS: Bibliographical references used in the WCT fifth edition of Tumours of the Lung (Thoracic Tumours volume) will be used as search results of a literature search. A descriptive analysis of the cited evidence for tumour types and descriptors will be drafted and plotted in EPPI-Reviewer to develop a visual evidence map. The resulting EGM will reflect the number of cited studies in the size of the spheres, and the level of evidence by applying a four-colour code (red=low level evidence, orange=moderate level, green=high level and blue=unclassifiable). Overview of the findings will be provided in narrative form and a report will discuss the overall stage of cited research in the WCT and will include analysis of gaps, under-researched categories of tumour descriptors and pockets of low-level evidence. ETHICS AND DISSEMINATION: No ethics approval will be required as this is a study of previously published material. Findings of the EGM will be published and used to guide editors, stakeholders and researchers for future research planning and related decision-making, especially for the development of future editions of the WCT. PROSPERO REGISTRATION NUMBER: CRD42022302327.

Clonality, Mutation and Kaposi Sarcoma: A Systematic Review.

BACKGROUND: It remains uncertain whether Kaposi sarcoma (KS) is a true neoplasm, in that it regresses after removal of the stimulus to growth (as HHV8) when immunosuppression is reduced. We aimed to summarize the available evidence on somatic mutations and clonality within KS to assess whether KS is a neoplasm or not. METHODS: Medline and Web of Science were searched until September 2020 for articles on clonality or mutation in KS. Search strings were supervised by expert librarians, and two researchers independently performed study selection and data extraction. An adapted version of the QUADAS2 tool was used for methodological quality appraisal. RESULTS: Of 3077 identified records, 20 publications reported on relevant outcomes and were eligible for qualitative synthesis. Five studies reported on clonality, 10 studies reported on various mutations, and 5 studies reported on chromosomal aberrations in KS. All studies were descriptive and were judged to have a high risk of bias. There was considerable heterogeneity of results with respect to clonality, mutation and cytogenetic abnormalities as well as in terms of types of lesions and patient characteristics. CONCLUSIONS: While KS certainly produces tumours, the knowledge is currently insufficient to determine whether KS is a clonal neoplasm (sarcoma), or simply an aggressive reactive virus-driven lesion.

The International Collaboration for Cancer Classification and Research.

Gaps in the translation of research findings to clinical management have been recognized for decades. They exist for the diagnosis as well as the management of cancer. The international standards for cancer diagnosis are contained within the World Health Organization (WHO) Classification of Tumours, published by the International Agency for Research on Cancer (IARC) and known worldwide as the WHO Blue Books. In addition to their relevance to individual patients, these volumes provide a valuable contribution to cancer research and surveillance, fulfilling an important role in scientific evidence synthesis and international standard setting. However, the multidimensional nature of cancer classification, the way in which the WHO Classification of Tumours is constructed, and the scientific information overload in the field pose important challenges for the translation of research findings to tumour classification and hence cancer diagnosis. To help address these challenges, we have established the International Collaboration for Cancer Classification and Research (IC3 R) to provide a forum for the coordination of efforts in evidence generation, standard setting and best practice recommendations in the field of tumour classification. The first IC3 R meeting, held in Lyon, France, in February 2019, gathered representatives of major institutions involved in tumour classification and related fields to identify and discuss translational challenges in data comparability, standard setting, quality management, evidence evaluation and copyright, as well as to develop a collaborative plan for addressing these challenges.

Presence and composition of cathinone derivatives in drug samples taken from a drug test service in Spain (2010-2012).

OBJECTIVE: The aim of this study was to describe the presence and composition of cathinone derivatives (CDs) in drug samples analyzed at a Drug Testing Service. MATERIAL AND METHODS: Data provided by the Drug Testing Service at Energy Control (a Spanish organization working in risk reduction among recreational drug users) were obtained from samples delivered as, or containing CDs, between January 2010 and June 2012. Specimens were identified by combining thin layer chromatography and gas chromatography associated with mass spectrometry. RESULTS: Two hundred and thirty-seven (3.8%) of the 6199 samples were delivered as, or contained CDs. 22 different CDs were detected, alone or in different combinations. Methylone (24.9%), mephedrone (24.5%), 4-methylethcathinone (9.28%), and methylenedioxypyrovalerone (6.8%) were the most common CDs. These substances were also found in 80 (1.3%) of 6042 samples delivered allegedly containing drugs different from CDs (such as 3,4-methylenedioxy-N-methylamphetamine (MDMA), amphetamines, ketamine…). CONCLUSIONS: Cathinone derivatives were markedly present in the Spanish drug market during the studied period. There is no evidence to conclude that use of CDs will become widespread or relevant for public health, but the phenomenon must be followed, as the potential risks of these new drugs of abuse are substantial.