Noninvasive liver disease assessment to identify portal hypertension: Systematic and narrative reviews supporting the AASLD Practice Guideline
Bibliographic record
Abstract
BACKGROUND AND AIMS: Portal hypertension is a serious complication of cirrhosis, which leads to life-threatening complications. HVPG, a surrogate of portal pressure, is the reference standard test to assess the severity of portal hypertension. However, since HVPG is limited by its invasiveness and availability, noninvasive liver disease assessments to assess portal pressure, especially clinically significant portal hypertension (CSPH), are needed. APPROACH AND RESULTS: We conducted a systematic review of Ovid MEDLINE(R) Ovid EMBASE, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and Scopus from each database's inception to April 22, 2022. We included only studies in English that examined ≥50 patients in single liver disease etiologies, which compared noninvasive tests (blood and/or imaging) to HVPG for predicting clinically significant portal hypertension (CSPH; defined as HVPG ≥ 10 mm Hg) in patients with chronic liver disease. Outcomes included measures of diagnostic test accuracy. Additionally, a narrative review of studies not eligible for the systematic review is also provided. Nine studies with 2492 patients met the inclusion criteria. There was substantial heterogeneity with regard to liver disease studied and cutoff values used to detect CSPH. Blood-based tests, including aspartate-to-platelet ratio index (APRI) (56% sensitivity and 68% specificity) and FIB-4 (54% sensitivity and 73% specificity) had low accuracy measures. Imaging-based tests (transient elastography and shear wave elastography detection of liver stiffness measurement [LSM]) had better accuracy but also had substantial variation; at 15 kPa, TE sensitivity was 90%-96% and specificity was 48%-50%, while at 25 kPa, its sensitivity and specificity were 57%-85% and 82%-93%, respectively. The narrative review suggested that imaging-based tests are the best available noninvasive liver disease assessment to detect CSPH; CSPH is highly unlikely to be present at an LSM ≤15 kPa and likely to be present at an LSM ≥25 kPa. CONCLUSIONS: While imaging-based noninvasive liver disease assessment appeared to have higher accuracy than blood-based tests to detect CSPH, only 9 studies fit the a priori established inclusion criteria for the systematic review. In addition, there was substantial study heterogeneity and variation in cutoffs for LSM to detect CSPH, limiting the ability to establish definitive cutoffs to detect CSPH.
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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 | 0.046 | 0.188 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.010 |
| Bibliometrics | 0.020 | 0.015 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".