It seems like there are three possible options:
1. Point estimate over MID, compare CI to null
- evidence of any effect
2. Point estimate over MID, compare CI to MID
- evidence of important effect
3. Point estimate below MID, compare CI to MID
- evidence against an important effect?
And I think...
I see, thanks.
Do you mean no important effect? We see that there's likely a nonzero effect since the CI doesn't cross null. And that's how they worded the plain language summary for vortioxetine.
My brain is swimming trying to fully grasp it, but it seems weird to compare evidence for no...
I'm trying to understand this.
So if, say, the MID is 1, and a study A has a result of 1.1, CI: 0.9-1.3 (same shape as b in fig. 5 above), then because the point estimate exceeds the MID, they downgrade for imprecision because the CI goes below the MID.
But if a study B result is 0.8, CI...
Deep brain stimulation for obsessive-compulsive-disorder: a systematic review and meta-analysis of individual participant outcome data from sham-controlled trials
Sem E. Cohen, Marisa J. Niemeijer, Jasper B. Zantvoord, Guido A. van Wingen, Roel J. T. Mocking & Damiaan Denys S
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New study on long COVID:
S4ME thread: REGAIN: A Randomized Controlled Clinical Trial of Oxaloacetate for Improving the Symptoms of Long COVID, 2025, Vernon et al
REGAIN: A Randomized Controlled Clinical Trial of Oxaloacetate for Improving the Symptoms of Long COVID
Suzanne D Vernon, Candace Rond, Jennifer Bell, Brindisi Butler, Sara Isolampi, Annaleah Otteson, Pearl Phalwane, Samantha Mower, Shad Roundy, David Kaufman, Alan Brian Cash, Lucinda Bateman...
Echoes of Gulf War Illness: A Case Study of Chronic Symptoms from Toxic Exposure in East Palestine, Ohio
Alexander Lishuen Chen, Jun Hee Han, Beatrice Alexandra Golomb
Published: 04 December 2024
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Abstract
Mixed toxic chemical exposures are a common problem, but...
Potentially some "tortured phrases" indicative of paper mills (found by AI):
I think that's meant to be "causal association"
Figure 2 caption:
It's weird to refer to an odds ratio as "ratio of ratios".
Yeah, there's another CFS dataset on there as well:
ukb-b-8961: Non-cancer illness code, self-reported: chronic fatigue syndrome
They both have around 2000 controls and 500,000 controls, so I'm guessing they're both using UK BioBank data.
Diagnostic overshadowing in systemic lupus erythematosus (SLE): A qualitative study
Rupert Harwood, Chris Wincup, David D’Cruz, and Melanie Sloan
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Objectives
SLE diagnostic journeys can be protracted, with negative impacts on long-term health. This study explored the role...
Odd paper. Starting from the title: "Myalgia/Chronic Fatigue Syndrome (ME/CFS)".
The first half of the results section is about the microbiome and cytokines. The second half is some kind of history of long COVID and CFS. It's got statements like this:
Clinical Trial of Niagen to Examine Recovery in People With Persistent Cognitive and Physical Symptoms After COVID-19
This is a completed trial with results just recently posted on ClinicalTrials.gov. I don't know if a paper will end up being published.
Detailed Description
This study will...
Commentary on this paper from Andrea Martell: 'Replicated blood biomarkers for ME/CFS?'
Below is a portion copied from the text:
What we need
ME/CFS Biomarker research needs (in my Non-Scientist Opinion):
* A ME/CFS Biomarker Conference(s) to make decisions on how to design better...
Integrative Bioinformatics Analysis Identifies Peripheral Blood Hub Genes and Establishes a Five-Gene Diagnostic Model for Long COVID
Yang Liu, Yuwei Shen, Peilian Cao, Yuqiang Qian, Yutong Chen, Daxing Jiang, Jianan Li
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Background
Long COVID (LC) is a multisystem condition...
Effect of normobaric and hyperbaric hyperoxia treatment on symptoms and cognitive capacities in Long COVID patients: a randomised placebo-controlled, prospective, double-blind trial
Leen D’hoore, Peter Germonpré, Bert Rinia, Leonard Caeyers, Nancy Stevens, Costantino Balestra
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Gaze fixation stability is a transdiagnostic marker of major psychiatric disorders: A high-density family-based study
Swarna Buddha Nayok, Vanteemar S Sreeraj, Sonika Nichenmetla, Harleen Chhabra, Pavithra Jayasankar, Srinivas Balachander, Bharath Holla, Biju Viswanath, Vivek Bengal, Janardhan...
I read a couple resources about MR from an expert in the field, Steven Burgess, and posted them previously:
- https://mendelianrandomisation.com/index.php/what-is-mr
Use of Mendelian Randomization to assess the causal status of modifiable exposures for rheumatic diseases, 2024, Zhao et al...
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