{"id":"W4387974578","doi":"10.3389/fonc.2023.1181248","title":"Neutrophil–lymphocyte ratio and platelet–lymphocyte ratio as potential predictive markers of treatment response in cancer patients treated with immune checkpoint inhibitors: a systematic review and meta-analysis","year":2023,"lang":"en","type":"review","venue":"Frontiers in Oncology","topic":"Inflammatory Biomarkers in Disease Prognosis","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Medicine; Internal medicine; Meta-analysis; Neutrophil to lymphocyte ratio; Publication bias; Lymphocyte; Oncology; Cancer; Disease; Adverse effect; Confidence interval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001545105,0.001017911,0.01322534,0.00207686,0.00007325662,0.00002644058,0.0002130304,0.000672157,0.00005475945],"category_scores_gemma":[0.0004496907,0.0006876208,0.001439769,0.00210884,0.0004710859,0.0001261614,0.0001497076,0.0003187594,0.000003941296],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006828522,"about_ca_system_score_gemma":0.002762581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005359353,"about_ca_topic_score_gemma":0.0001053331,"domain_scores_codex":[0.9916537,0.003088434,0.003143806,0.001124323,0.0004507528,0.0005389976],"domain_scores_gemma":[0.9960854,0.0004383046,0.002207335,0.0007454132,0.000262878,0.0002606421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.02366784,0.0009103861,0.00156885,0.6004325,0.361657,0.001840502,0.0004963047,0.00004498406,0.000002684795,0.000001356736,0.0002338471,0.009143787],"study_design_scores_gemma":[0.007927701,0.005974754,0.0008397446,0.05950694,0.9223222,0.000124848,0.000223928,0.0003543723,0.000020698,0.000003941697,0.002004667,0.0006961805],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003867581,0.9833018,0.0000164952,0.0001051879,0.0001634758,0.01204565,0.0004247678,0.00004856752,0.00002651832],"genre_scores_gemma":[0.000998191,0.9894937,0.0003103129,0.00007760477,0.00002727554,0.008290573,0.0003866387,0.000117049,0.0002986716],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5606652,"threshold_uncertainty_score":0.9995575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696418831693115,"score_gpt":0.3201277610729353,"score_spread":0.2931635727560042,"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."}}