Clinical trial watch: Reports from the AASLD Liver Meeting®, Boston, November 2014
Bibliographic record
Abstract
The late and fast developments in the field of viral hepatitis were highly expected in the 2014 AASLD Liver Meeting®. Several combinations using direct acting antivirals (DAAs) showed high rates of sustained virological response (∼95%). Importantly, high cure rates were also demonstrated in patients with previous treatment failures, decompensated cirrhosis and hepatitis C recurrence after transplantation, making it clear that the interferon era is over (not so clear for ribavirin, which might still have a role in difficult-to-treat populations). Importantly, sustained virological response was associated with an improvement in liver function (MELD and Child-Pugh scores) in patients with advanced liver disease. In the field of liver cirrhosis, there were relevant data assessing the optimal empirical antibiotic therapy in patients with spontaneous bacterial peritonitis and high risk of resistant bacteria, as well as studies evaluating the role of terlipressin in type I hepatorenal syndrome and in septic shock. Regarding hepatic encephalopathy, two randomized trials suggest that the manipulation of the microbioma in patients with cirrhosis may have a role in the management of this complication. Some novel data on NASH support the beneficial effect of bariatric surgery (after failure of lifestyle intervention) in morbid obese patients with such diagnosis: clinical and histological improvements after surgery were evident in most patients with sufficient follow-up. A few controlled studies focused on the treatment of severe acute alcoholic hepatitis. Finally, several studies on hepatocellular carcinoma (HCC) were presented, covering topics such as ultrasound screening in cirrhosis, cryoablation treatment of early HCC and the relevance of downstaging in patients with HCC awaiting liver transplantation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.128 | 0.040 |
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".