Observational studyInternational urology and nephrology2025
Gut microbiota may mediate the causality of statins on diabetic nephropathy: a mediation Mendelian randomization study.
Observational study in International urology and nephrology, 2025. The graph read 1 number from its abstract, feeding 1 cell of the map, but none could be read as for or against, so it casts no vote. It also reports an association that does not count as treatment evidence, such as OR 0.73 (0.65 to 0.83) for inflammation & biomarkers. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
Read, but not usablea number the graph found but could not read as for or against
RESULTS: HMGCR inhibitors were causally linked to the increased incidence of DN (odds ratio [OR]: 0.732, 95% confidence interval [CI] 0.647, 0.828, P CONCLUSION: Statins may become a risk factor for DN by increasing or decreasing the abundance of specific gut microbiota.
clause the extractor read what became the number
Where it lands on the map
Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.
What it adds to each cell
For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.
Statins×inflammation & biomarkers
No readable resultOpen on the map →What to test next →7 readable studies in this cell: 2 favour the treatment, 4 find no difference, 1 favour the comparator.
This paper's own estimate is on a different scale from the rest of the cell, so it is not drawn here.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Decoding NSAID-associated renal injury: a call for safer practices.International urology and nephrology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The marked sentences are the ones the graph read a number from.
backgroundIncreasing evidence indicates that statins may increase the risk of developing diabetic nephropathy (DN). As the gut-kidney axis concept gains traction, it remains unclear whether statins contribute to the onset and progression of DN by modulating gut microbiota.
objectiveTo investigate the association between statins and DN and the proportion of this association mediated through gut microbiota.
methodThis study utilized a two-sample Mendelian randomization (MR) approach and a cross-sectional observational design to investigate the causal relationships among statins, 473 gut microbiota, and DN. Furthermore, mediation MR analysis was employed to explore the potential mediating effects of gut microbiota in the statins-DN relationship.
resultsHMGCR inhibitors were causally linked to the increased incidence of DN (odds ratio [OR]: 0.732, 95% confidence interval [CI] 0.647, 0.828, P
conclusionStatins may become a risk factor for DN by increasing or decreasing the abundance of specific gut microbiota. These specific gut bacteria have the potential to become a new indicator for guiding the clinical use of statins in diabetic patients.
Indexed as
Identifiers
39656409What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.