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Record W2890733322 · doi:10.1080/1744666x.2018.1519394

Managing cancer risk in patients with systemic lupus erythematous

2018· review· en· W2890733322 on OpenAlexaffabout
Alexandra Ladouceur, Sasha Bernatsky, Rosalind Ramsey‐Goldman, Ann E. Clarke

Bibliographic record

VenueExpert Review of Clinical Immunology · 2018
Typereview
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsMcGill UniversityUniversity of CalgaryUniversité de Montréal
Fundersnot available
KeywordsMedicineCancerImmunologyPopulationHepatitis B virusInternal medicineHepatitis BLung cancerOncologyVirus

Abstract

fetched live from OpenAlex

INTRODUCTION: Numerous studies have clearly demonstrated that there is an altered cancer risk profile in patients with systemic lupus erythematous (SLE) versus the general population. This includes a higher risk of certain cancers (e.g. hematologic, lung) and a decreased risk of others (e.g. breast cancer). Several determinants could be behind this altered risk; these include immunosuppressant drugs, viral exposures, genetic factors, and other variables. Area covered: We review what is known regarding specific risk profiles and risk factors for some key cancers in SLE, including hematologic malignancies and lung cancers. In light of this, we examine current guidelines and practices regarding cancer screening, and propose ways that patients and physicians might help manage cancer risk in SLE. Expert commentary: Despite significant progress over the past decade, not many risk factors have been precisely identified. A better understanding of the elements that drive malignancy risk in systemic autoimmune rheumatic diseases may permit the further development of guidelines (regarding. cancer screening) for SLE patients. ABBREVIATIONS: AbTG: Anti-thyroglobulin antibodies; AbTPO: Anti-peroxydase antibodies; AML: Acute myeloid leukemia; APRIL: A proliferating-inducing ligand; BAFF: B-cell activating factor; CAPA: Canadian Arthritis Patient Alliance; CI: Confidence interval; CIN: Cervical intraepithelial neoplasia; CT: Computed tomography; DLBCL: Diffuse large B cell lymphoma; dsDNA: Double-stranded DNA; EBV: Epstein-Barr virus; EULAR European League Against Rheumatism; IBD: Inflammatory bowel disease; HBV: Hepatitis B virus; HCV: Hepatitis C virus; HIV: Human immunodeficiency virus; HR: Hazard ratio; HSIL: High-grade cervical squamous intraepithelial lesions; HSV: Herpes simplex virus; HL: Hodgkin lymphoma; HPV: Human papillomavirus; MALT: Mucosa-associated lymphoid tissue; MDS: Myelodysplastic syndrome; MESNA: 2-mercaptoethane sodium sulfonate; NHL: Non-Hodgkin lymphoma; OR: Odds ratio; Pap: Papanicolaou; RA: Rheumatoid arthritis; SLE: Systemic Lupus erythematous; SLICC: Systemic International Collaborating Clinics; SNPs: Single-nucleotide polymorphisms; SOGC: Society of Obstetricians and Gynaecologists of Canada.

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 imitation

Not 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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.611
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0120.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.452
Teacher spread0.387 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations19
Published2018
Admission routes2
Has abstractyes

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