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Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients compared with the general population
Amanda J. Vinson, Alfred Anzalone, Makayla Schissel, Ran Dai, Evan French, Amy L. Olex, Roslyn B. Mannon, Adam Wilcox, Adam M. Lee, Alexis Graves, Amin Manna, Amit Saha, Andrea Zhou, Andrew E. Williams, Andrew M. Southerland, Andrew T. Girvin, Anita Walden, Anjali Sharathkumar, Benjamin Amor, Benjamin Bates, Brian Hendricks, Brijesh Patel, Caleb Alexander, Carolyn T. Bramante, Cavin Ward‐Caviness, Charisse Madlock‐Brown, Christine Suver, Christopher G. Chute, Christopher Dillon, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David Eichmann, Diego R. Mazzotti, Donald D. Brown, Eilis Boudreau, Elaine Hill, Elizabeth Zampino, Emily Carlson Marti, Emily Pfaff, Farrukh M. Koraishy, Federico Mariona, Fred Prior, George Sokos, Greg S. Martin, Harold P. Lehmann, Heidi Spratt, Hemalkumar B. Mehta, Hongfang Liu, Hythem Sidky, J W Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Harper, Jessica Y. Islam, Jin Ge, Joel Gagnier, Joel Saltz, Johanna Loomba, John B. Buse, Jomol Mathew, Joni L. Rutter, Julie A. McMurry, Justin Guinney, Justin Starren, Karen Crowley, Katie R. Bradwell, Kellie M Walters, Ken Wilkins, Kenneth Gersing, Kenrick Cato, Kimberly Murray, Kristin Kostka, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lesley Cottrell, Lili Portilla, Mariam Deacy, Mark M. Bissell, Marshall Clark, Mary Emmett, Mary Saltz, Matvey B. Palchuk, Melissa Haendel, Meredith E. Adams, Meredith Temple-O’Connor, Michael G. Kurilla, Michele Morris, Nabeel Qureshi, Nasia Safdar, Nicole Garbarini, Noha Sharafeldin, Ofer Sadan, Patricia A. Francis, Penny Wung Burgoon, Peter N. Robinson, Philip Payne, Rafael Fuentes, Randeep S. Jawa, Rebecca Erwin-Cohen, Rena C. Patel, Richard A. Moffitt, Richard L. Zhu, Rishi Kamaleswaran, Robert W. Hurley, Robert Miller, Saiju Pyarajan, Sam G. Michael, Samuel Bozzette, Sandeep K. Mallipattu, Satyanarayana Vedula, S. C. Chapman, Shawn T. O’Neil, Soko Setoguchi, Stephanie Hong, Steve Johnson, Tellen D. Bennett, Tiffany J. Callahan, Ümit Topaloĝlu, Usman Ullah Sheikh, Valery Gordon, Vignesh Subbian, Warren A. Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William B. Hillegass, Xiaohan Tanner Zhang
Bibliographic record
VenueAmerican Journal of Transplantation · 2023
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsDalhousie University
FundersUniversity of Texas Health Science Center at San AntonioNational Center for Advancing Translational SciencesNational Institute of General Medical SciencesClinical and Translational Science Center, University of New MexicoWest Virginia Clinical and Translational Science InstituteClinical and Translational Science Institute, Boston UniversityUniversity of ChicagoChildren's National HospitalClinical and Translational Science Institute, University of FloridaSouth Carolina Clinical and Translational Research Institute, Medical University of South CarolinaCenter for Clinical and Translational Sciences, University of Texas Health Science Center at HoustonUniversity of WashingtonInstitute for Integration of Medicine and ScienceCenter for Clinical and Translational Science, Mayo ClinicColorado Clinical and Translational Sciences InstituteCenter for Clinical and Translational Science, University of MassachusettsUniversity of Southern CaliforniaUniversity of Colorado DenverLeonard M. Miller School of MedicineCincinnati Children's Hospital Medical CenterUniversity of California, IrvineIrving Medical Center, Columbia UniversityOregon Clinical and Translational Research InstituteUniversity of PennsylvaniaWeill Cornell Medical CollegeUniversity of Illinois at Urbana-ChampaignVanderbilt UniversityUniversity of Oklahoma Health Sciences CenterNational Institutes of HealthUniversity of California, DavisStony Brook UniversityInstitute for Clinical and Translational Science, University of California, IrvineOchsner HealthUniversity of California, San FranciscoLouisiana Clinical and Translational Science CenterInstitute of Translational Health SciencesNYU Langone Medical CenterAurora Health CarePenn State Clinical and Translational Science InstituteGeorgia Clinical and Translational Science AllianceAccelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact ValuesTranslational Research Institute, University of Arkansas for Medical SciencesNorthShore University HealthSystemYale UniversityUniversity of Texas Health Science Center at HoustonYale Center for Clinical Investigation, Yale School of MedicineMedStar Health Research InstituteUniversity of North Carolina at Chapel HillCarilion ClinicEmory UniversityChildren’s Hospital of Wisconsin Research InstituteSouthern California Clinical and Translational Science InstituteUniversity at BuffaloUniversity of RochesterUniversity of MiamiUniversity of South CarolinaVanderbilt University Medical CenterOhio State UniversityUniversity of Arkansas for Medical SciencesRutgers, The State University of New JerseyInstitute for Clinical and Translational Research, University of Wisconsin, MadisonPennsylvania State UniversityVanderbilt Institute for Clinical and Translational ResearchUniversity of California, San DiegoInstitute for Translational Medicine and TherapeuticsUniversity of CincinnatiInstitute of Clinical and Translational SciencesWake Forest Clinical and Translational Science Institute, Wake Forest School of MedicineGeorgetown-Howard Universities Center for Clinical and Translational ScienceMontana State UniversityUniversity of MichiganVirginia Commonwealth UniversityHarvard CatalystUniversity of OklahomaSchool of Medicine, Indiana UniversityWashington University in St. LouisUniversity of MinnesotaJohns Hopkins UniversityUniversity of California, Los AngelesBill and Melinda Gates FoundationMichigan Institute for Clinical and Health ResearchWest Virginia UniversityUniversity of UtahChildren's Hospital of PhiladelphiaGeorge Washington UniversityNorthwestern UniversityTulane UniversityBrown UniversityRush UniversityUniversity of Wisconsin-MadisonCenter for Clinical and Translational ResearchFrontiers Clinical and Translational Science Institute, University of KansasLoyola University ChicagoWake Forest UniversityUniversity of Texas Medical BranchUniversity of Nebraska Medical CenterChildren's Hospital ColoradoTufts Medical Center
KeywordsMedicineHazard ratioInternal medicineProportional hazards modelPopulationAdverse effectHormone replacement therapy (female-to-male)Confidence intervalImmunosuppressionTestosterone (patch)
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.346
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 | 0.000 |
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.
Opus teacher head0.036
GPT teacher head0.354
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation status
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.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical
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".
Quick stats
Citations3
Published2023
Admission routes1
Has abstractno