The case-crossover design is a self-controlled study design used to compare exposure immediately preceding an event occurrence with exposure in earlier control periods. The design is most suitable for transient exposures in order to avoid biases that can be problematic when using the case-crossover design for non-transient (i.e., chronic) exposures. Our goal was to conduct a systematic review of case-crossover studies and its variants (case-time-control and case-case-time-control) in order to compare design and analysis choices by medication type.
We conducted a systematic search to identify recent case-crossover, case-time-control, and case-case-time-control studies focused on medication exposures. Articles indexed in MEDLINE and EMBASE using these study designs that were published between January 2015 and December 2021 in the English language were identified. Reviews, methodological studies, commentaries, articles without medications as the exposure of interest, and articles with no available full text were excluded. Study characteristics including study design, outcome, risk window, control window, reporting of discordant pairs, and inclusion of sensitivity analyses were summarized overall and by medication type. We further evaluated the implementation of recommended methods to account for biases introduced by non-transient exposures among articles that used the case-crossover design on a non-transient exposure.
Of the 2036 articles initially identified, 114 articles were included. The case-crossover was the most common study design (88%), followed by the case-time-control (17%), and case-case-time-control (3%). Fifty-three percent of the articles included only transient medications, 35% included only non-transient medications, and 12% included both. Across years, the proportion of case-crossover articles evaluating a non-transient medication ranged from 30% in 2018 to 69% in 2017. We found that 41% of the articles that evaluated a non-transient medication did not apply any of the recommended methods to account for biases and more than half of which were conducted by authors with no previous publication history of case-crossover studies.
Using the case-crossover design to evaluate a non-transient medication remains common in pharmacoepidemiology. Researchers should apply appropriate design and analysis choices when opting to use a case-crossover design with non-transient medication exposures.

UNASSIGNED: The ability of neurosurgeons to analyze and reflect on their complications in a constructive way is important both for professional development and for patient safety. The purpose of the present paper is to highlight some psychological factors that might impair or bias the ability of the neurosurgeon to do this successfully.
UNASSIGNED: Five fictitious cases, loosely inspired by real events and situations, are used as a basis for a discussion of some of the most important potential sources of psychological bias in the context of understanding neurosurgical complications.
UNASSIGNED: The issues of a) self-serving bias and the actor-observer effect; b) heuristics and biases in interpreting probabilistic events; c) emotional avoidance and denial; d) limitations of attention (dual systems theory) and e) errors of memory, are discussed.
UNASSIGNED: There are a number of psychological factors, that are well known to science that may be ubiquitous sources of influence on the ability of neurosurgeons to grow by reflection on their own complications. Exactly how these factors can and should be efficiently adressed by the individual neurosurgeon and/or the organisation and team in which the neurosurgeon works may vary according to type of bias, context and circumstances. However, being aware of these issues and addressing them on an individual and organizational level remains important to the quality of our craft.

OBJECTIVE: To analyse the existence of sex-differences in the content on leukemias in the Haematology and Internal Medicine textbooks recommended in the Medical Degrees, 2019-2020, by comparison with the sex-differences recognized in the scientific literature.
METHODS: Manifest content analysis of the content of chapters on leukemias in the books on hematology and internal medicine, clinical haematology and haematology undergraduate. Analysis categories: epidemiology, etiopathogenesis, diagnosis, treatment and prognosis of leukemias.
RESULTS: Epidemiological information from the revised books has a greater consideration of sex differences in incidence and prognosis but does not contain data on mortality and survival. Etiopathogenesis is described in all books as the same physiological process for both sexes and no differences in the presentation of symptoms are described in any book. Three books describe a unique treatment that is assumed equal for both sexes; two books mention the treatment of acute myeloid leukemia in pregnant women and one in chronic myeloid leukemia. No book mentions sex-differences in pharmacokinetics, efficacy, or treatment toxicity, although there is greater evidence on unequal behavior between the sexes.
CONCLUSIONS: The contents of sex and gender differences in the leukemia chapters analyzed are insufficient compared to the evidence in the scientific literature today. Hematology textbooks might increase their scientific quality in future editions, including knowledge of sex-gender interaction in the sections of epidemiology, etiology, pathogenesis, diagnosis, treatment, prognosis, and consequences of leukemias, which will contribute to better professional practices, more efficient and equitable.

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The lack of representative coronavirus disease 2019 (COVID-19) data is a bottleneck for reliable and generalizable machine learning. Data sharing is insufficient without data quality, in which source variability plays an important role. We showcase and discuss potential biases from data source variability for COVID-19 machine learning.
We used the publicly available nCov2019 dataset, including patient-level data from several countries. We aimed to the discovery and classification of severity subgroups using symptoms and comorbidities.
Cases from the 2 countries with the highest prevalence were divided into separate subgroups with distinct severity manifestations. This variability can reduce the representativeness of training data with respect the model target populations and increase model complexity at risk of overfitting.
Data source variability is a potential contributor to bias in distributed research networks. We call for systematic assessment and reporting of data source variability and data quality in COVID-19 data sharing, as key information for reliable and generalizable machine learning.

In this study, we analyse the relevance of harvestmen distribution data derived from opportunistic, unplanned, and non-standardised collection events in an area in the north of the Iberian Peninsula. Using specimens deposited in the BOS Arthropod Collection at the University of Oviedo, we compared these data with data from planned, standardised, and periodic collections with pitfall traps in several locations in the same area. The Arthropod Collection, begun in 1977, includes specimens derived from both sampling types, and its recent digitisation allows for this type of comparative analysis. Therefore, this is the first data-paper employing a hybrid approach, wherein subset metadata are described alongside a comparative analysis. The full dataset can be accessed through Spanish GBIF IPT at http://www.gbif.es:8080/ipt/archive.do?r=Bos-Opi, and the metadata of the unplanned collection events at http://www.gbif.es:8080/ipt/resource.do?r=bos-opi_unplanned_collection_events. We have mapped the data on the 18 harvestmen species included in the unplanned collections and provided records for some species in six provinces for the first time. We have also provided the locations of Phalangium opilio in eight provinces without published records. These results highlight the importance of digitising data from unplanned biodiversity collections, as well as those derived from planned collections, especially in scarcely studied groups and areas.