The Double-Icodextrin Dose Randomized Controlled Trial of a Double #Icodextrin Dose for #Older Patients on Incremental Continuous Ambulatory Peritoneal Dialysis #CAPD
#VisualAbstract by @md_abdulqader83
www.kireports.org/ar...
@lobbedezt.bsky.social @clemencebechade.bsky.social
18.07.2025 15:00 โ ๐ 12 ๐ 7 ๐ฌ 0 ๐ 1
The "reproducibility crisis" in science constantly makes headlines. Repro efforts are often limited. What if you could assess reproducibility of an entire field?
That's what @brunolemaitre.bsky.social et al. have done. Fly immunity is highly replicable & offers lessons for #metascience
A ๐งต 1/n
10.07.2025 08:21 โ ๐ 319 ๐ 172 ๐ฌ 10 ๐ 18
Using robcov() to adjust for donor-level clustering in kidney transplant outcomes?
I am doing a study to assess the association between transplant factors and kidney transplant outcomes (specifically survival of the transplanted kidney) using US registry data. Iโm using `cph()`.
A key issue is that when looking at outcomes, most recipients are not truly independent as they are clustered by donor. Specifically, in our analysis we have 57,153 donors where both kidneys were transplanted (into different recipients) and 39,389 donors where only one kidney was transplanted into a single recipient. So our analysis on recipient outcomes has n=153,695 recipients, and 96,542 donor clusters (each of which has either 1 or 2 recipients).
The focus of the research study is to assess if how the kidney was preserved impacts on kidney graft survival, and I adjust for several donor and recipient factors in the model.
This is how I am currently using robcov to get cluster robust SE (from which I am calculating 95% confidence intervals)
fit <- cph(Surv(time, event) ~ var1 + var2 + var3, data, x = TRUE, y = TRUE)
fit_robust <- robcov(fit, cluster = data$donor_id)
My understanding is that this uses the Huber-White method for updating the variance-covariance, which will increase the variance due to the clustering. Iโve seen other papers in the field use frailty terms (or other mixed effect models for non-survival outcomes). However, I think that robust SE using `robcov()` is probably a better solution here.
Is this a valid approach, given the large number of clusters, but small cluster size (either 2 or 1 per cluster)? Would the same approach be valid for logistic regression and linear (fit with `ols()`)?
06.07.2025 07:27 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
[Skim] KI-Tools fรผr die wissenschaftliche Literaturrecherche: Potenziale, Problematiken, Didaktik und Zukunftsperspektiven www.degruyterbrill.com/document/doi... - or AI Tools for Academic Literature Search: Possibilities, Problems, Didactics, and Future Prospects insanely comprehensive! (1)
06.07.2025 09:30 โ ๐ 6 ๐ 5 ๐ฌ 1 ๐ 0
Next level of cherry-picking. Lack of significance in Student's t-test? Report then F-test and interpret it as a t-test ๐ซฃ๐ซฃ๐ซฃ
(F-test compares variances, not means๐คก)
Source: doi.org/10.3390/cell...
01.07.2025 18:29 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Validate User
CLINICAL IMPACT:
Current CKD staging doesn't account for proximal tubular damage - a key risk factor for hypomagnesemia in CKD patients. ๐ Mg supplementation showed limited efficacy in proteinuric patients
Read more: doi.org/10.1093/ndt/...
๐งต3/3
21.06.2025 08:13 โ ๐ 3 ๐ 0 ๐ฌ 0 ๐ 0
KEY FINDINGS:
๐ Proteinuria = higher probability of hypo-Mg (OR 2.2; 95% CI 1.2โ4.0), especially in non-diabetics
๐ Higher proteinuria (uPCR) โ higher urinary Mg excretion (FE-Mg)
๐งช When proximal tubular markers were included in analysis, the uPCR-FEMg association weakened significantly
๐งต2/3
21.06.2025 08:13 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0
Validate User
HYPOMAGNESEMIA IN CKD - Renal Magnesium Wasting
While CKD typically causes hypermagnesemia due to โGFR, researchers from Osaka University found that ~15% of CKD patients paradoxically develop hypomagnesemia instead.
academic.oup.com/ndt/article/...
๐งต1/3
#NephSky #Nephrology
21.06.2025 08:13 โ ๐ 6 ๐ 1 ๐ฌ 2 ๐ 0
Fecal microbiota transplantation from patients into animals to establish human microbiota-associated animal models: a scoping review
Journal of Translational Medicine
A Review published in the Journal of Translational Medicine gives an overview of the current state of research using human-to-animal fecal microbiota transplantation to elucidate the role of the gut microbiota in the pathophysiology of noninfectious diseases and traits.
#MedSky
20.06.2025 14:30 โ ๐ 1 ๐ 1 ๐ฌ 0 ๐ 0
Thanks for sharing! โบ๏ธ I have to admit, my enthusiasm faded when I kept discoveringโoften buried deep in the manuscript or hidden in the supplementsโthat their โgroundbreakingโ findings were based on FMT from a single donor. ๐คฆโโ๏ธ The field suffers from weak methodology and poor reporting standards.
17.06.2025 17:07 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
Our recommendations for better research (short version):
1๏ธโฃ Follow GRAFT guidelines (adapted for humanโanimal FMT)
2๏ธโฃ Use multiple donors
3๏ธโฃ Include both sexes (if possible)
4๏ธโฃ Verify microbiota colonization
5๏ธโฃ Comprehensive outcome assessment
6๏ธโฃ Transparent reporting
๐4/5
17.06.2025 16:46 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0
MAJOR finding: Huge methodological gaps! ๐
๐ธ Many studies use single donors (big generalizability problem!)
๐ธ 86% of studies don't report donor medications
๐ธ Methods vary wildly (fresh vs frozen samples, different volumes)
We need standardization!
๐3/5
17.06.2025 16:46 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
What we found:
๐ธ IBD, IBS, obesity, colorectal cancer & depression = most studied health issues
๐ธ Cancer research focuses heavily on the non-responsivness to immunotherapy
๐ธ Cardiovascular and renal outcomes are surprisingly understudied! ๐
๐2/5
17.06.2025 16:46 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
Experience Statistics
#statstab #363 p-checker The one-for-all p-value analyzer
Thoughts: Easy way to check for publication bias using some current tools.
#shiny #pvalue #phacking #QRPs #zcurve #bias #pcurve #rindex
shinyapps.org/apps/p-check...
11.06.2025 15:37 โ ๐ 2 ๐ 1 ๐ฌ 0 ๐ 0
When should a Nephrologist suspect a mitochondrial disease? | Nefrologรญa
Mitochondrial diseases, taking into account those that affect the processes of the respiratory
"Maternally inherited diabetes and deafness is one of the most common mitochondrial diseases. (...) In all three cases, the symptoms were similar: diabetic patient, with hearing loss and renal involvement, non-nephrotic proteinuria and sediment without microhaematuria."
10.06.2025 18:46 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
While slowing eGFR decline would be a major win, I'm struggling to see a pathophysiological basis for an increase in eGFR. Sclerosed glomeruli will not resume function. Seems we must rule out either decreased creatinine production or hyperfiltration as confounders before calling it remission.
06.06.2025 14:43 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
In WoS, PubMed, and Scopus, the number can be interpreted as the number of words between two terms. In PMID 33560326, there are 3 words between "replacement" and "hip". I don't get the logic behind n+1, but I will remember this rule for my future searches.
15.05.2025 21:35 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Changelog
In case you missed it, we recently updated some of our packages, including many new features (again) in the #rstats #easystats {modelbased} package:
easystats.github.io/modelbased/n...
The last weeks we were working a lot on improving support and performance for Bayesian models and especially
15.05.2025 18:10 โ ๐ 14 ๐ 5 ๐ฌ 1 ๐ 0
Interpreting Log Transformations in a Linear Model | UVA LibraryFederal Depository Library Program
#statstab #343 Interpreting Log Transformations in a Linear Model
Thoughts: Not always a good idea to transform data, but if you do you need to know what it means.
#log #transformation #datatype #data #model #nonlinear #r #guide
library.virginia.edu/data/article...
14.05.2025 20:44 โ ๐ 3 ๐ 2 ๐ฌ 0 ๐ 0
Embase NEAR/2 gives the same results as NEAR/1, W/1, or :~1 in other places ๐ซฃ I noticed the difference when using a new version of Embase "Query translator" and checked it manually.
14.05.2025 16:54 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
โข Technology โข Publishing โข Strategy โข Innovation โข AI โข Easily distracted by anything new
Newsletter: https://pubtechradar.substack.com/
Kidney doc @BWHkidney @SirirajMedicine CMR @umnmedresidency| MS @PublicHealthUMN | @Clingenresource curator| Bringing Genomics medicine to Thai kidney patients
Hablemos de envejecimiento renal y manejo renal conservador.
Let's talk about kidney aging and conservative renal management.
Nefrologรญa/Nephrology ๐ฒ๐ฝ
Fellow Nefrogeria/GeriNeph ๐จ๐ฆ
Por https://x.com/JoseLuis_HA
https://linktr.ee/nefrogeria2024
๐ชดGood stories for a breath of fresh air
๐Brooklyn, New York
๐ง jacob@jacobsimonsays.com
๐All story sources, newsletter, actions & more๐
jacobsimonsays.com/bio
AnotherIndianNephrologist @Nephrosage
We're a center for renal & neuromuscular pathology focused on one thing: improving care for patients. #renal #pathsky #renalpath #neuropath #neuromuscular #kidneypath
Nephrology & Internal Medicine. Immunothrombosis incl DIC. ISTH Member. No Conflicts of Interest. Views my own etc
Creator of HumanMicrobiome.info. Looking for high-quality FMT donors via HumanMicrobes.org.
https://mastodon.social/@michaelharrop
Assoc Prof of Methodology and Statistics at Maastricht University. Interests: meta-analysis, ESM/EMA, mixed-effects models, computational statistics, research software, R, FLOSS, GNU/Linux, chess, piano, lolcats. The views expressed are those of my cats.
Statistical consultant and programmer at Harvard IQSS. Author/maintainer of the #Rstats packages 'MatchIt', 'WeightIt', and 'cobalt' for causal inference, among many others | He/him
ngreifer.github.io
๐ณ๏ธโ๐๐๐ท๏ธ๐ Blog pod adresem: slwstr.net
Official BlueSky of the Kidney Precision Medicine Project (KPMP)
Questions? Skeet us or contact info@kpmp.org
Nephrologist. Hyderabad, India ๐ฎ๐ณ
Firm believer in Poeโs law and itโs corollary. Student for life. GlomCon 2022| NSMC 2023.
๐ Nephrologist | ๐ฐ๐ท Korea
๐ฅ Founder & Director, Dialysis Clinic
๐ Focused on patient-centered renal care
๐ฌ CKD, HD, HDF, incremental dialysis
Canadian epidemiologist and causal inference person at Erasmus Medical Center. Big fan of Northern Expsoure and Car Talk.
jeremylabrecque.org
Marie Skลodowska-Curie fellow at ISEM Montpellier. Physicist studying complex biological systems - ecosystems, cancer, immune networks and microbial communities.
#medlibs #sysrev #eahil KU Leuven Libraries, Belgium
Biomedical information specialist.
PhD in biomedical sciences.
All views are my own.
Nephrologist / Hypertension Specialist in Columbus, Ohio
He / him
Be careful about reading health books. You may die of a misprint. | health sciences | informationist | Michigan | she/her | #medlibs
https://uxcaucustips.blogspot.com/