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pmid:39911153
Construction of a lung adenocarcinoma prognostic model based on KEAP1/NRF2/HO‑1 mutation‑mediated upregulated genes and bioinformatic analysis.
Oncology letters · 2025 doi:10.3892/ol.2025.14902
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Experiment
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Analysis
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Complete file
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for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).\",\"target_result\":\"The risk score was an independent prognostic factor for patients with LUAD.\",\"number_stated\":true}", "reading": {"parent_value": 1.038, "unit": "hazard ratio", "evidence": "Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).", "target_result": "The risk score was an independent prognostic factor for patients with LUAD.", "number_stated": true, "source_locator": "chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82"}, "recorded_at": "2026-10-31T15:22:58.435506+00:00"}, {"provider": "minimax_alt", "model": "MiniMax-M3", "prompt_version": "replication-target-v2", "prompt_hash": "296756d404aae8fb3f064f83f08b38d0bd1b1d66d9193b02c198c8ebfa51ae9b", "source_hash": "9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82", "raw_response": "<think>We need answer JSON only. Need identify single numerical result replication registered target main finding. Source abstract headline numerical result likely hazard ratio 1.038, unit perhaps hazard ratio? Need exact contiguous quotation containing number and attribution. \"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).\" Need headline number only value paper states, unit printed. parent_value 1.038, unit \"hazard ratio\" likely. Evidence exact quote perhaps whole clause/sentence. target_result maybe \"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).\" But evidence itself exact quote. target_result perhaps concise statement. Need ensure only headline number. They demand evidence exact contiguous quotation contains number, don't shorten. We can quote entire sentence exactly. Unit paper prints \"hazard ratio\". Is unit field perhaps empty because HR dimensionless? But requirement unit must be unit paper prints. It prints \"hazard ratio, 1.038\". Could use \"hazard ratio\". Likely expected extraction format number 1.038, unit \"hazard ratio\". Let's formulate valid JSON. Ensure Unicode en dash in evidence. target_result can state perhaps \"The risk score was an independent prognostic factor for patients with LUAD, with a hazard ratio of 1.038 (95% CI, 1.034–1.043; P<0.001).\" But this paraphrases and includes number? Fine target_result asks what text states. Yet avoid number duplication? They ask headline number only. Could say target_result exact sentence too, but then evidence duplicates. Usually output schema perhaps target_result textual. Need likely \"hazard ratio of 1.038\". Evidence exact contiguous quote. number_stated true.\n\nCould target_result be \"The stated main numerical result is a hazard ratio of 1.038.\" But \"single numerical result\" means report headline number only likely output number and unit. They specifically request \"Report the headline number only: the value...\" Could target_result perhaps be \"hazard ratio\" or \"1.038\". Yet schema has parent_value, unit, evidence, target_result. Need fill target_result. Maybe \"1.038\" to conform headline number only. However target_result likely expected a textual conclusion. Let's parse wording: \"Read ... find the single numerical result ... Report the headline number only: the value the paper itself states for the registered target, not a value you calculated... The unit must be the unit the paper prints. ... If text states no number ... leave ... and say in target_result what the text does state instead.\" This suggests when number stated, target_result likely can be description. \"headline number only\" means don't provide CI/P. We can put target_result \"hazard ratio\" or \"1.038\". Better perhaps target_result: \"The stated hazard ratio is 1.038.\" But that repeats number and violates perhaps only? No, still only headline numeric result, no CI.\n\nExact evidence: Could quote clause from abstract exactly. Ensure \"hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001\" contains additional numbers, and user asks evidence quote contains number, and \"When text links them ... quote the whole clause so reader can check attribution\". We should include whole sentence. Although they ask headline number only, evidence necessarily may include CI and P. That's okay because evidence requirement. Could use exact contiguous smaller clause that attaches HR to risk score: \"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).\" That's whole sentence and includes ancillary results. They explicitly say exact quote, not shorten. This isn't shortening. Unit \"hazard ratio\". JSON escaping no issue.\n\nNeed decide target_result. Could be exact wording too. Let's answer concise.</think>\n\n{\"parent_value\":1.038,\"unit\":\"hazard ratio\",\"evidence\":\"Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).\",\"target_result\":\"The stated hazard ratio is 1.038.\",\"number_stated\":true}", "reading": {"parent_value": 1.038, "unit": "hazard ratio", "evidence": "Risk score was an independent prognostic factor for patients with LUAD (hazard ratio, 1.038; 95% confidence interval, 1.034–1.043; P<0.001).", "target_result": "The stated hazard ratio is 1.038.", "number_stated": true, "source_locator": "chars 2070-2210 of source sha256 9c48dffaf58c62d22cb4e69a7de494daf2a79fbd96b68fcfcc07eec1a458cd82"}, "recorded_at": "2026-10-31T15:23:03.065835+00:00"}], "agreement": true, "disagreements": {"physical_methods": {"minimax": ["Immunohistochemistry"], "minimax_alt": ["Immunohistochemistry for KEAP1, NRF2, and HO-1 expression; the supplied text does not report physical validation of the risk-score hazard ratio."], "decisive": false}, "analysis_methods": {"minimax": ["Univariate Cox regression analysis", "Multivariate Cox regression analysis", "101 machine learning methods", "Nomogram construction", "Calibration curve analysis", "Decision curve analysis"], "minimax_alt": ["limma differential-expression analysis", "Venn diagram analysis", "Univariate Cox regression analysis", "Multivariate Cox regression analysis", "101 machine learning methods", "Nomogram construction", "Calibration curve evaluation", "Decision curve analysis", "ImmuCellAI immune-cell infiltration analysis", "oncoPredict immunotherapy and chemotherapy sensitivity analysis", "Wilcoxon rank-sum test", "χ2 test", "Fisher's exact test"], "decisive": false}}, "agreement_basis": {"policy": "decisive_fields", "decisive_fields": ["work_type", "number_stated", "parent_value", "unit"]}, "blinded": true}, "human_critique": {"status": "not_run", "reviewer": null, "signed_at": null, "conflict_checked": false, "commentary": null}, "stages": [{"key": "target_materials", "status": "pending", "reason": null, "evidence": null}, {"key": "independent_readings", "status": "passed", "reason": "The independent readings are incomplete or disagree; the source evidence must resolve the difference.", "evidence": {"provider_errors": []}}, {"key": "source_resolution", "status": "pending", "reason": null, "evidence": null}, {"key": "protocol_reconstruction", "status": "pending", "reason": null, "evidence": null}, {"key": "control_execution", "status": "pending", "reason": null, "evidence": null}, {"key": "control_comparison", "status": "pending", "reason": null, "evidence": null}, {"key": "publication", "status": "pending", "reason": null, "evidence": null}], "gaps": ["review.human_critique", "review.machine_critique.passed"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "package:22a37205b50fa87aa008e248b7320d8c4d97d2051d35a348a173a2e6ae8e73ed", "type": "sep_package", "label": "SEP v1 package for pmid:39911153"}], "activities": [{"id": "activity:conversion:pmid:39911153", "type": "conversion", "used": ["package:22a37205b50fa87aa008e248b7320d8c4d97d2051d35a348a173a2e6ae8e73ed"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:minimax", "type": "model", "label": "minimax"}, {"id": "agent:minimax_alt", "type": "model", "label": "minimax_alt"}, {"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}], "source_run_id": "run-20261023T122449232913", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:39911153", "parent_hash": "sha256:94295a5f38f78e5856b492ad0b79bcce3ede285cc9f3fb05d6c1d101239ed338", "fork_of": null, "generation": 2}, "gaps": ["abstract", "asset:source:pmid:39911153 not verified", "authors", "capability", "corpus_record_absent", "execution.not_run", "method", "review.human_critique", "review.machine_critique.passed", "step:obtain_source_data blocked on data:not_downloaded", "step:run_analysis blocked on no owned computational capability is bound to this experiment", "step:run_analysis input 'materials:the source data behind the published result in pmid:39911153' does not resolve to a declared asset", "targets"]}