Article in Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
6 authors.
Jin GeDivision of Gastroenterology and Hepatology, Department of Medicine, University of California - San Francisco, San Francisco, California. Electronic address: jin.ge@ucsf.edu.
Aryana T FarDivision of Gastroenterology and Hepatology, Department of Medicine, University of California - San Francisco, San Francisco, California.
Jean C DigitaleDepartment of Epidemiology and Biostatistics, University of California - San Francisco, San Francisco, California.
Mark J PletcherDepartment of Epidemiology and Biostatistics, University of California - San Francisco, San Francisco, California.
Jennifer C LaiDivision of Gastroenterology and Hepatology, Department of Medicine, University of California - San Francisco, San Francisco, California.
National COVID Cohort Collaborative (N3C) Consortium
Funding
Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Transform Dissemination and Implementation Science in CTSA ProgramsUL1TR002319 · NCATS · UNIVERSITY OF WASHINGTON · PI John K. Amory · 2017 to 2026
$100.0M
Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Implementing a Maternal health and PRegnancy Outcomes Vision for Everyone (IMPROVE)UL1TR002378 · NCATS · EMORY UNIVERSITY · PI Andres J Garcia, Elizabeth O. Ofili · 2017 to 2026
aimsThe virulence and severity of SARS-CoV-2 infections have decreased over time in the general population due to vaccinations and improved antiviral treatments. Whether a similar trend has occurred in patients with cirrhosis is unclear. We used the National COVID Cohort Collaborative (N3C) to describe the outcomes over time.
methodsWe utilized the N3C level 3 data set with uncensored dates to identify all patients with chronic liver disease (CLD) with and without cirrhosis who had SARS-CoV-2 infection as of November 2023. We described the observed 30-day case fatality rate (CFR) by month of infection. We used adjusted survival analyses to calculate relative hazard of death by month of infection compared with infection at the onset of the COVID-19 pandemic.
resultsWe identified 117,811 total patients with CLD infected with SARS-CoV-2 between March 2020 and November 2023: 27,428 (23%) with cirrhosis and 90,383 (77%) without cirrhosis. The observed 30-day CFRs during the entire study period were 1.1% (1016) for patients with CLD without cirrhosis and 6.3% (1732) with cirrhosis. Observed 30-day CFRs by month of infection varied throughout the pandemic and showed a sustained downward trend since 2022. Compared with infection in Quarter 2 of 2020 (at the beginning of the pandemic), the adjusted hazards of death at 30 days for infection in Quarter 3 of 2023 were 0.20 (95% confidence interval [CI], 0.08-0.50) for patients with CLD without cirrhosis and 0.35 (95% CI, 0.18-0.69) for patients with CLD with cirrhosis.
conclusionsIn this N3C study, we found that the observed 30-day CFR decreased progressively for patients with CLD both with and without cirrhosis, consistent with broader trends seen in the general population.
Indexed as
COVID-19Liver CirrhosisAdultAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedSARS-CoV-2United StatesChronic Liver DiseaseCirrhosisCOVID-19SARS-CoV-2
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 OpenQuestion graph.
Decreasing Case Fatality Rates for Patients With Cirrhosis Infected With SARS-CoV-2: A National COVID Cohort Collaborative Study. · full record | OpenQuestion