Presence of diabetes mellitus and steatosis is associated with liver stiffness in a general population: The Rotterdam study
Bibliographic record
Abstract
UNLABELLED: Given that little is known about the prevalence of, and factors associated with, liver fibrosis in the general population, we aimed to investigate this in a large, well-characterized cohort by means of transient elastography (TE). This study was part of the Rotterdam Study, a population-based study among individuals ≥45 years. All participants underwent abdominal ultrasound and TE. Liver stiffness measurement (LSM) ≥8.0 kilopascals (kPa) was used as a cutoff suggesting clinically relevant fibrosis. Of 3,041 participants (age, 66.0 ± 7.6 years) with reliable LSM, 169 (5.6%) participants had LSM ≥8.0 kPa. Age (odds ratio [OR]: 2.40; 95% confidence interval [CI]: 1.72-3.36; P < 0.001), alanine aminotransferase (ALT; OR, 1.24; 95% CI: 1.12-1.38; P < 0.001), smoking (OR, 1.77; 95% CI: 1.16-2.70; P = 0.008), spleen size (OR, 1.23; 95% CI: 1.09-1.40; P = 0.001), hepatitis B surface antigen, or anti-hepatitis C virus positivity (OR, 5.38; 95% CI: 1.60-18.0; P = 0.006), and combined presence of diabetes mellitus (DM) and steatosis (OR, 5.20; 95% CI: 3.01-8.98; P < 0.001 for combined presence) were associated with LSM ≥8.0 kPa in multivariable analyses. The adjusted predicted probability of LSM ≥8.0 kPa increased per age decade, with probabilities ranging from 1.4% (0.9-3.6) in participants ages 50-60 years to 9.9% (6.8-14.5) in participants >80 years. Participants with both DM and steatosis had the highest probabilities of LSM ≥8.0 kPa (overall probability: 17.2% [12.5-23.4]; this probability did not increase with age [P = 0.8]). CONCLUSION: In this large population-based study of older adults, LSM ≥8.0 kPa, suggestive of clinically relevant fibrosis, was present in 5.6% and was strongly associated with steatosis and DM. In the context of an aging population and an increased prevalence of DM and obesity, this study illustrates that liver fibrosis may become a more prominent public health issue in the near future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".