Notes

Selective Inhibition regarding Heparan Sulphate instead of Chondroitin Sulphate Biosynthesis with a Modest, Soluble Competing Inhibitor.
Drug safety research asks causal questions but relies on observational data. Confounding bias threatens the reliability of studies using such data. The successful control of confounding requires knowledge of variables called confounders affecting both the exposure and outcome of interest. However, causal knowledge of dynamic biological systems is complex and challenging. Fortunately, computable knowledge mined from the literature may hold clues about confounders. In this paper, we tested the hypothesis that incorporating literature-derived confounders can improve causal inference from observational data.

We introduce two methods (semantic vector-based and string-based confounder search) that query literature-derived information for confounder candidates to control, using SemMedDB, a database of computable knowledge mined from the biomedical literature. These methods search SemMedDB for confounders by applying semantic constraint search for indications treated by the drug (exposure) and that are also knownhan fewer literature-derived confounders was inconclusive. We recommend using targeted learning estimation methods that can address treatment-confounder feedback, where confounders also behave as intermediate variables, and engaging subject-matter experts to adjudicate the handling of problematic covariates.
We found semantic vector-based search to be superior to string-based search at reducing confounding bias. However, the effect of including more rather than fewer literature-derived confounders was inconclusive. We recommend using targeted learning estimation methods that can address treatment-confounder feedback, where confounders also behave as intermediate variables, and engaging subject-matter experts to adjudicate the handling of problematic covariates.
The comparative efficacy of gestational diabetes (GDM) treatments lack conclusive evidence for choice of first-line treatment.

The aim of this study was to compare the efficacy of metformin and glibenclamide to insulin using a core outcome set (COS) to unify outcomes across trials investigating the treatment of gestational diabetes mellitus.

A network meta-analysis (NMA) was conducted.

PubMed, Embase, and Cochrane Controlled Register of Trials were searched from inception to January 2020.

RCTs that enrolled pregnant women who were diagnosed with GDM and that compared the efficacy of different pharmacological interventions for the treatment of GDM were included.

A generalized pairwise modelling framework was employed.

A total of 38 RCTs with 6046 participants were included in the network meta-analysis. Compared to insulin, the estimated effect of metformin indicated improvements for weight gain (WMD -2·39kg; 95% CI -3·31 to -1·46), maternal hypoglycemia (OR 0.34; 95% CI 0.12 to 0·97) and LGA (OR 0.61; 95% CI 0.38 to 0·98). There were also improvements in estimated effects for neonatal hypoglycemia (OR 0.48; 95% CI 0.19 to 1·25), pregnancy induced hypertension (OR 0.63; 95% CI 0.37 to 1·06), and preeclampsia (OR 0.74; 95% CI 0.538 to 1·04), though with limited evidence against our model hypothesis of equivalence with insulin for these outcomes.

Metformin is, at least, comparable to insulin for the treatment of GDM. Glibenclamide appears less favorable, in comparison to insulin, than metformin.
Metformin is, at least, comparable to insulin for the treatment of GDM. Glibenclamide appears less favorable, in comparison to insulin, than metformin.
To systematically review contemporary data on the safety of clopidogrel and newer antiplatelet agents in pregnant women, with particular attention to maternal and neonatal complications.

The review protocol was published via PROSPERO (ID 42020165235) and conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). Databases were searched using MeSH and free text terms encompassing the included antiplatelets, relevant indications, and pregnancy. Included studies reported the drug dose, the stage of pregnancy at which it was administered, and at least one primary or secondary outcome relating to pregnancy. The primary outcome was reporting of complications associated with antiplatelet use in pregnancy.

The search yielded 5271 results. 39 publications were included, incorporating 42 live births. The mean age of women was 34.6 years. Seven different antiplatelet agents were described, clopidogrel being most frequent (n=37). 14 women received antiplatelet therte comparable to background risk. Evidence for other antiplatelet agents remains limited. Regional anaesthesia should be offered, with recommendation to stop prior to delivery in line with national guidance and in the context of individualised decision making.As Traditional Chinese Medicine (TCM) becomes widely used in many countries around the world, global demand for intelligent and modernized medical devices of TCM is increasing. Medical devices of TCM have played an important role in diagnosis and treatment of disease. Standardization on medical devices of TCM cannot only be beneficial to ensuring the life safety of patients, but also to enhancing the effectiveness of diagnosis and treatment. This paper includes (1) classification and trends in medical devices of TCM; (2) status review on international standardization of medical devices of TCM; (3) key technical factors in developing international standards for medical devices of TCM and (4) prospects for international standardization development of medical devices of TCM.Pregnancy and lactation-associated osteoporosis (PLO) is a rare skeletal disorder characterized by early-onset osteoporosis typically manifestating with vertebral compression fractures or transient osteoporosis of the hip. We hypothesized that genetic variants may play a role in the development of PLO. This study aimed to analyze the presence of genetic variants and a potential association with the clinical presentation in PLO. 42 women with PLO were included from 2013 to 2019 in a multicenter study in Germany. selleckchem All cases underwent comprehensive genetic analysis based on a custom-designed gene panel including genes relevant for skeletal disorders. The skeletal status was assessed using dual-energy X-ray absorptiometry (DXA). Subgroups were further analyzed by serum bone turnover markers (n = 31) and high-resolution peripheral computed tomography (HR-pQCT; n = 23). We detected relevant genetic variants in 21 women (50%), with LRP5, WNT1 and COL1A1/A2 being the most commonly involved genes. The mean number of vertebral compression fractures was 3.
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