{"id":"W4417015538","doi":"10.1182/blood-2025-964","title":"Grip strength predicts overall survival of patients with myelodysplastic syndrome in a multivariable model","year":2025,"lang":"en","type":"article","venue":"Blood","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Leukemia & Lymphoma Society of Canada; University of Winnipeg; University of Manitoba; McMaster University; Providence Health Care; University of Alberta; Dr. Georges-L.-Dumont University Hospital Centre; Saskatchewan Cancer Agency; Ottawa Hospital; McGill University; Princess Margaret Cancer Centre; University of Calgary; Sunnybrook Hospital; Dalhousie University; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Grip strength; Logistic regression; Hand strength; Cohort; Survival analysis; Myelodysplastic syndromes; Cohort study; Prospective cohort study; Disease","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":[0.002498081,0.0007149953,0.0005099725,0.001011514,0.000346799,0.001016476,0.001021612,0.0005923897,0.003443194],"category_scores_gemma":[0.003605674,0.0003750106,0.001706792,0.0006944011,0.000236774,0.000543327,0.0007369691,0.001266089,0.0005941959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004131688,"about_ca_system_score_gemma":0.0008384418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007642022,"about_ca_topic_score_gemma":0.003774219,"domain_scores_codex":[0.9993173,0.0002271967,0.00004506544,0.000213063,0.00007800478,0.000119385],"domain_scores_gemma":[0.9981767,0.0008637962,0.0003151687,0.0001591459,0.0002075258,0.0002776305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005887717,0.00009104016,0.9941122,0.00002211386,0.0006780564,0.00009294145,0.00003180125,0.001789265,0.0001481614,0.00006003361,0.0008189463,0.001566692],"study_design_scores_gemma":[0.0001505155,0.000718457,0.890659,0.00004745526,0.001531564,0.0005621814,0.0002764288,0.1037414,0.0002464421,0.0004625384,0.001568822,0.00003496763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951664,0.0003806776,0.001627784,0.0003131416,0.00005485609,0.00002657189,0.001819608,0.00006264701,0.0005483519],"genre_scores_gemma":[0.9980592,0.00009547344,0.0003146847,0.00003352114,0.00003514486,0.0000286605,0.0009654087,0.00001071375,0.0004571753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007642022,"threshold_uncertainty_score":0.01519507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009447378572110457,"score_gpt":0.2450507169467941,"score_spread":0.2356033383746837,"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."}}