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Record W2915081447 · doi:10.1016/s2352-3018(18)30360-6

Association of immunosuppression and HIV viraemia with non-Hodgkin lymphoma risk overall and by subtype in people living with HIV in Canada and the USA: a multicentre cohort study

2019· article· en· W2915081447 on OpenAlexafffundabout
Raúl Ulises Hernández‐Ramírez, Qin Li, Haiqun Lin, Wendy A. Leyden, Romain Neugebauer, Keri N. Althoff, Chad J. Achenbach, Nancy A. Hessol, Gypsyamber DʼSouza, Kelly A. Gebo, M. John Gill, Surbhi Grover, Michael A. Horberg, Jun Li, William C. Mathews, Ángel M. Mayor, Lesley S. Park, Charles S. Rabkin, Kate Salters, Amy C. Justice, Richard D. Moore, Eric A. Engels, Michael J. Silverberg, Robert Dubrow, Adrian Betts, John T. Brooks, Aimee Freeman, Stephen E. Van Rompaey, Ann N. Burchell, Benita Yip, Bin You, Brenna Hogan, Chris Grasso, Robert S. Hogg, Constance A. Benson, Daniel R. Drozd, Timothy R. Sterling, David W. Haas, Elizabeth Humes, Heidi M. Crane, James H. Willig, Joseph J. Eron, Jeffrey N. Martin, Michael S. Saag, Jerry Jing, Jinbing Zhang, Joanne Lindsay, Robert F. Hunter-Mellado, Steven G. Deeks, Julia Zhu, Joan Montaner, Karyn Gabler, Kate Buchacz, Benigno Rodríguez, Jennifer E. Thorne, Joseph B. Margolick, Kathryn Anastos, Lisa P. Jacobson, Marina B. Klein, Abigail Kroch, Justin McReynolds, Megan Turner, David A. Fiellin, Stephen J. Gange, Michael J. Mugavero, P. Richard Harrigan, Peter F. Rebeiro, Ronald J. Bosch, Gregory D. Kirk, Kenneth H. Mayer, Rosemary G. McKaig, Sally B. Coburn, Sonia Napravnik, Mari M. Kitahata, William B. Lober, Jennifer Lee

Bibliographic record

VenueThe Lancet HIV · 2019
Typearticle
Languageen
FieldMedicine
TopicViral-associated cancers and disorders
Canadian institutionsAIDS VancouverUniversity of Calgary
FundersNational Institute of Allergy and Infectious DiseasesNational Institute on AgingNational Eye InstituteNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteNational Cancer InstituteNational Institute on Alcohol Abuse and AlcoholismNational Institutes of HealthEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentAgency for Healthcare Research and QualityNational Center for Advancing Translational SciencesHealth Resources and Services AdministrationCanadian Institutes of Health ResearchNational Institute on Drug AbuseNational Institute on Minority Health and Health DisparitiesNational Center for Research ResourcesCenters for Disease Control and Prevention
KeywordsMedicineViral loadImmunosuppressionHazard ratioLymphomaCohortProportional hazards modelInternal medicineCohort studyOncologyImmunologyHuman immunodeficiency virus (HIV)Confidence interval

Abstract

fetched live from OpenAlex
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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.122
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.200
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations65
Published2019
Admission routes3
Has abstractno

Explore more

Same venueThe Lancet HIVSame topicViral-associated cancers and disordersFrench-language works237,207