{"id":"W4224327048","doi":"10.1111/jdv.18167","title":"Tildrakizumab efficacy and safety in patients with psoriasis and concomitant metabolic syndrome: <i>post hoc</i> analysis of 5‐year data from <scp>reSURFACE</scp> 1 and <scp>reSURFACE</scp> 2","year":2022,"lang":"en","type":"article","venue":"Journal of the European Academy of Dermatology and Venereology","topic":"Psoriasis: Treatment and Pathogenesis","field":"Immunology and Microbiology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Probity Medical Research; SKiN Health; Queen's University","funders":"National Institutes of Health; LEO Pharma; Eli Lilly and Company; AstraZeneca; Galderma; Cilag; Mylan; Alexion Pharmaceuticals; Merck; Simon Spies Fonden; Celgene; Pfizer; Samsung; National Psoriasis Foundation; Amgen","keywords":"Medicine; Post-hoc analysis; Concomitant; Post hoc; Psoriasis; Metabolic syndrome; Internal medicine; Oncology; Dermatology; Obesity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006532655,0.0009235647,0.002220242,0.0004771511,0.0003797795,0.0009689872,0.0005209608,0.0005345346,0.002966928],"category_scores_gemma":[0.002924552,0.0004058157,0.005235603,0.0004668652,0.0004845742,0.000915955,0.0004800036,0.001515765,0.000315249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007483157,"about_ca_system_score_gemma":0.001116848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005983682,"about_ca_topic_score_gemma":0.001599921,"domain_scores_codex":[0.997054,0.001629147,0.0002705867,0.0004502722,0.0003212038,0.0002747446],"domain_scores_gemma":[0.9956859,0.001475196,0.001512177,0.0005616493,0.000388011,0.0003770037],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"observational","study_design_scores_codex":[0.8708388,0.005524376,0.05852323,0.0009056044,0.01496064,0.0001140914,0.0001573799,0.001411452,0.01130179,0.00009329112,0.001125797,0.03504348],"study_design_scores_gemma":[0.2363244,0.3609279,0.3587968,0.0001234068,0.02540632,0.00049668,0.0001658885,0.003273838,0.009489918,0.0002498027,0.004632015,0.0001129976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946316,0.002287339,0.0004336101,0.00008326394,0.00003472298,0.0005529649,0.0009915988,0.00003187205,0.0009529249],"genre_scores_gemma":[0.9967019,0.0004047868,0.0005089684,0.0001281803,0.00008052131,0.0004072255,0.001220645,0.00001126111,0.0005364763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006532655,"threshold_uncertainty_score":0.0345484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361415003510655,"score_gpt":0.2255988199268797,"score_spread":0.2119846698917731,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}