{"id":"W4413273414","doi":"10.1097/md.0000000000041868","title":"A comprehensive guide to conduct a systematic review and meta-analysis in medical research","year":2025,"lang":"en","type":"review","venue":"Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Systematic review; Data extraction; Meta-analysis; Funnel plot; Publication bias; Medicine; MEDLINE; Data science; Computer science; Management science; Data mining; Pathology","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":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","open_science","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad","insufficient_payload"],"category_scores_codex":[0.4388621,0.001168255,0.1142739,0.008372929,0.0001456278,0.0003328367,0.005866475,0.0004421752,0.04838803],"category_scores_gemma":[0.4278213,0.0004094862,0.01148009,0.03212071,0.0003624976,0.00008828108,0.001119284,0.001277906,0.002614213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001625068,"about_ca_system_score_gemma":0.0007445691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002099641,"about_ca_topic_score_gemma":0.0003223423,"domain_scores_codex":[0.7969729,0.1297476,0.04453968,0.003654312,0.0242545,0.0008309883],"domain_scores_gemma":[0.877308,0.094252,0.00890791,0.01304611,0.005343591,0.00114245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[3.77213e-7,0.0000192497,8.788229e-7,0.7089225,0.07501065,0.000084608,0.0000803135,2.071084e-7,4.773548e-9,0.0002377543,0.2079296,0.007713863],"study_design_scores_gemma":[0.00004622181,0.00002364628,4.870308e-7,0.0972873,0.4185801,0.00003293287,0.0001058484,0.00001074536,1.61857e-9,0.00006788982,0.4836993,0.0001454577],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[8.15184e-8,0.9693816,0.0004983593,0.01404279,0.00009813394,0.01138015,0.00005310159,0.000006480324,0.004539263],"genre_scores_gemma":[0.000001022371,0.9434678,0.0003544043,0.00533163,0.00006125102,0.002404254,0.00004674993,0.00002405593,0.04830882],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6116352,"threshold_uncertainty_score":0.9998357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.93555600743605,"score_gpt":0.70968427610876,"score_spread":0.2258717313272901,"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."}}