Bibliographic record
Abstract
In parallel with the Consensus Development Conference on Management of Chronic Hepatitis B, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) of the National Institutes of Health (NIH) held the initial organizational steering committee meeting of the Hepatitis B Research Network. The establishment of this network was the centerpiece of a large initiative in hepatitis B that was directed at making progress in the understanding, prevention, and control of this important liver disease. This initiative was the result and a part of the Trans-NIH Action Plan for Liver Disease Research (http://liverplan.niddk.nih.gov) that was published in December 2004 and laid out a series of specific research goals for liver disease research for the next 10 years. The Action Plan represented the collective efforts of more than 250 individuals including liver research investigators, academicians, practicing physicians, researchers and representatives from industry, NIH staff, and lay advocates who worked together to prioritize liver disease research goals. The research goals were directed at specific advances that would translate into substantial improvement in the understanding, prevention, and treatment of liver diseases. Within this report, key research priorities for hepatitis B research were given in the chapter on viral hepatitis, many of which still remain incompletely resolved. To help meet these goals, the NIH sponsored this 2008 Consensus Development Conference on Management of Hepatitis B, but also set into motion a prospective clinical research network of investigators charged with the mission to provide new insights into the pathogenesis of hepatitis B and help define the most appropriate therapy of this disease in its multiple clinical forms and in the different populations that it affects. CDC, Centers for Disease Control and Prevention; NIAID, National Institute of Allergy and Infectious Diseases; NIDDK, National Institute of Diabetes and Digestive and Kidney Diseases; NIH, National Institutes of Health. Robert Carithers Jr, Kris Kowdley, Brian McMahon (University of Washington, Seattle, WA; Virginia Mason Medical Center, Seattle, WA; and Alaska Native Medical Center, Anchorage, AK); Adrian M. Di Bisceglie (Saint Louis University, St. Louis, MO); Michael Fried (University of North Carolina, Chapel Hill, NC); Marc G. Ghany, T. Jake Liang, David E. Kleiner (NIH Clinical Center, Bethesda, MD); Steven Han, Tram Tran, Tse-Ling Fong (University of California Los Angeles; Cedars-Sinai Medical Center; and University of Southern California, Los Angeles, CA); E. Jenny Heathcote, Jordan Feld, David Wong (University of Toronto, Toronto, Canada); W. Ray Kim (Mayo Clinic, Rochester, MN); Daryl T.-Y. Lau, Raymond T. Chung (Beth Israel Deaconess Hospital and Massachusetts General Hospital, Boston, MA); William Lee, Robert P. Perrillo (University of Texas Southwestern and Baylor Medical Center, Dallas, TX); Anna S.F. Lok (University of Michigan, Ann Arbor, MI); Mitchell Schiffman (Virginia Commonwealth University, Richmond, VA); Kathleen Schwarz (Johns Hopkins University, Baltimore, MD); Norah A. Terrault, Mandana Khalili, Natalie Bzowej (University of California San Francisco and California Pacific Medical Center, San Francisco, CA). Kyong-Mi Chang (University of Pennsylvania, Philadelphia, PA) Steven Belle (University of Pittsburgh, Pittsburgh, PA). From the NIDDK, Dr. Patricia Robuck serves as the Project Officer and Dr. Edward Doo as the Chief Scientific Officer. Drs. Jay H. Hoofnagle, Leonard B. Seeff, Elizabeth Wright, and Jay Everhart of the Liver Diseases Research Branch, NIDDK, serve as scientific advisors. Additional participants include representatives from the Centers for Disease Control and Prevention (CDC) and the National Institute of Allergy and Infectious Disease (NIAID). The network is charged with developing a randomized controlled trial of long-term therapy of hepatitis B as well as a large-scale prospective cohort study to follow patients with chronic hepatitis B longitudinally with the overarching goal of addressing the research priorities identified at this and prior research meetings toward the alleviation of this condition. Ancillary studies directed at elucidating the pathogenesis of the various stages and forms of hepatitis B and identifying biomarkers of disease activity and stage, as well as the conduct of smaller, more innovative trials of therapy in special populations of patients with hepatitis B, are also planned. The timing of the NIH Consensus Conference on Management of Hepatitis B was fortunate, allowing for the special focus on “Research Needs for the Future” from each speaker to provide important directions for the research agenda of the Hepatitis B Research Network. Additional information about the Hepatitis B Research Network is available on its website at www.hepbnet.org.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".