Overdiagnosis in IVF - how some IVF clinics increase work for themselves.
Lots of IVF doctors are very trigger happy, and make a diagnosis which is completely inaccurate. For example, they will do an ultrasound scan for a patient on the fifth or sixth day of the cycle and notice at that time that the follicles are small or the endometrium is thin , and then tell her, "Oh, your thin endometrium means that you most probably have endometrial tuberculosis, and you need investigation and treatment for this." This is plainly ridiculous ! On Day 6, most fertile women will have small follicles , because they haven't started growing yet , as a result of which their estrogen levels are going to be low, which means their endometrium is bound to be thin. This is normal , and doesn't mean there'a anything wrong. If they repeat the scan in another 4 days, they will see that the follicle grows and the lining will become thicker. However, the moment the doctor starts creating this doubt and suspicion in the patient's mind, they generate a lot of unnecessary anxiety, and I think it's important that doctors stop doing this.The trouble is that they take advantage of the fact that patients are not very well educated or well informed . Most don't understand what the doctor is saying, and quite frankly, infertile patients are so desperate that they will pretty much accept whatever a doctor says, especially when the doctor is an IVF expert. This ploy allows doctors to create a lot of busy work for themselves, because once you've made a " dia...
[Vanguard] Abuja -The Federal Government said it had concluded arrangements to convert tuberculosis' diagnostic machines in the country coronavirus' detection machines.
[The Herald] Government is working on utilising tuberculosis and HIV testing machines to run Covid-19 tests.
[Daily Trust] Nigeria is looking to convert more than 300 GeneXpert machines used to tuberculosis diagnosis for use in coronavirus testing in three weeks at most, health minister Osagie Ehanire said on Tuesday.
Publication date: Available online 31 March 2020Source: LWTAuthor(s): Feng Wang, Yizhong Zhang, Ling Xu, Haile Ma
Contributors : Lucas C Pantaleao ; Susan E Ozanne ; Ania WilczynskaSeries Type : Expression profiling by high throughput sequencingOrganism : Mus musculusObesity during pregnancy is associated with fetal growth restriction in the offspring. We used RNA next generation sequencing analysis (HiSeq2000) to have a snapshot of the placenta transcriptome at embryonic day 19 to examine whether mice exposed to maternal obesity had significant changes in their transcriptome which may lead to growth restriction in the fetus.
Discussion: A tertiary referral center referred 125 individuals to physiotherapy who were eligible for the study; we finally included 93 individuals for statistical analysis. Multiple backward regression analysis showed that gender (95% confidence interval [CI], 2.05-33.82), weight (95% CI, 0.39-1.02), age (95% CI, −0.91 to −0.04), left handgrip strength (95% CI, 0.14-1.44), and inspiratory muscle strength (95% CI, 0.08-0.38) were all independently associated with muscle surface area at L3. All these variables together explained 66% of the variability (R2) in muscle surface area at L3 (P
Publication date: Available online 30 March 2020Source: Sensors and Actuators B: ChemicalAuthor(s): Judit Randek, Carl-Fredrik Mandenius
J. Mater. Chem. A, 2020, Accepted Manuscript DOI: 10.1039/C9TA14034D, PaperTian Gan, Xinqiang Fan, Ye Liu, Chengyu Wang, Haoran Mei, Lijun Fan, Nianjun Hou, Yicheng Zhao, Yongdan Li Ni/Ce0.8Sm0.2O1.9 (SDC) with a three-dimensionally ordered macroporous (3DOM) structure is prepared with poly(methyl methacrylate) as the template and characterized using X-ray powder diffraction, scanning electron microscopy, transmission electron microscopy, H2... The content of this RSS Feed (c) The Royal Society of Chemistry
Publication date: Available online 29 March 2020Source: Clinical Epidemiology and Global HealthAuthor(s): Souheil Hallit, Chadia Haddad, Rabih Hallit, Marwan Akel, Sahar Obeid, Georges Haddad, Michel Soufia, Wael Khansa, Rony Khoury, Nelly Kheir, Christiane Abi Elias Hallit, Pascale Salameh
Hi everyone, I just made this account but I've been active on this forum for over 8 years. I withdrew from med during 3rd semester due to anxiety (W's for that semester but ~B average for med school overall). While in med school I saw friends fail things like Step 1, Step 2 CS, or not match and have to SOAP. In med school I had trouble sleeping occasionally. Then during my 3rd semester the trouble sleeping became severe anxiety as I kept having unwanted thoughts of not matching. I think... Help a med school dropout