{
  "schemaVersion": 1,
  "capturedAt": "2026-10-30T05:58:56.906Z",
  "sha256": "f90963b935effb522b5a219f13bd264f77c6b8266e3772814860c2a2d514d98b",
  "work": {
    "kind": "note",
    "key": "redondo-sanchez-2026",
    "type": "RDN",
    "id": "TAP-RDN-0068",
    "locale": "zh",
    "path": "/zh/research/redondo-sanchez-2026/",
    "title": "TAP 导读: Measuring the biological embedding of chronic stress: Allostatic load algorithms and cancer risk in a prospective cohort.",
    "description": "这项巢式病例对照分析报告，采用临床截点的适应负荷指数较所比较的其他算法有更好的模型拟合，支持针对明确结局比较计分选择。",
    "rights": "© The Allostasis Project。保留所有权利。除法律允许的例外外，转载或改编需另行授权。",
    "version": "1.0",
    "updatedAt": "2026-10-30",
    "editorial": {
      "contentType": "evidence-review",
      "reviewState": "draft",
      "reviewedAt": null,
      "reviewedVersion": null,
      "updatedAt": "2026-10-30",
      "version": "1.0",
      "byline": "team",
      "author": null,
      "reviewer": null,
      "workflow": {
        "ai": {
          "usage": "used",
          "system": "OpenAI Codex",
          "scope": "Source comparison, evidence extraction, drafting, translation and editing. The materials consulted are stated in each source scope.",
          "version": "1.0",
          "tasks": [
            "Source comparison and evidence extraction",
            "Bilingual drafting, translation and editing"
          ]
        }
      },
      "revisions": []
    },
    "original": {
      "id": "redondo-sanchez-2026",
      "title": "Measuring the biological embedding of chronic stress: Allostatic load algorithms and cancer risk in a prospective cohort.",
      "authors": "Redondo-Sánchez D, Gálvez-Navas JM, González Flores E, et al.",
      "journal": "Social Science & Medicine",
      "year": "2026",
      "url": "https://doi.org/10.1016/j.socscimed.2026.119840",
      "doi": "10.1016/j.socscimed.2026.119840",
      "pmid": "42801852"
    },
    "references": [
      {
        "id": "redondo-sanchez-2026",
        "title": "Measuring the biological embedding of chronic stress: Allostatic load algorithms and cancer risk in a prospective cohort.",
        "authors": "Redondo-Sánchez D, Gálvez-Navas JM, González Flores E, et al.",
        "journal": "Social Science & Medicine",
        "year": "2026",
        "url": "https://doi.org/10.1016/j.socscimed.2026.119840",
        "doi": "10.1016/j.socscimed.2026.119840",
        "pmid": "42801852"
      }
    ],
    "sections": [
      {
        "id": "finding",
        "title": "研究发现",
        "paragraphs": [
          "这项巢式病例对照分析报告，采用临床截点的适应负荷指数较所比较的其他算法有更好的模型拟合，支持针对明确结局比较计分选择。"
        ]
      },
      {
        "id": "limits",
        "title": "范围与局限",
        "paragraphs": [
          "EPIC-Granada队列中的955名癌症病例与955名匹配对照。",
          "属于观察性、特定结局的证据；摘要不能确定压力的因果通路，也不能验证癌症筛查工具。未查阅完整方法与补充材料。"
        ]
      },
      {
        "id": "sample",
        "title": "研究人群与样本",
        "paragraphs": [
          "共1,910名参与者：955名新发癌症病例及955名匹配对照。"
        ]
      },
      {
        "id": "exposure",
        "title": "暴露或干预",
        "paragraphs": [
          "以16项生物标志物构建四种适应负荷算法。"
        ]
      },
      {
        "id": "outcomes",
        "title": "观察结局",
        "paragraphs": [
          "癌症关联及不同算法的模型拟合比较。"
        ]
      },
      {
        "id": "duration",
        "title": "时间范围",
        "paragraphs": [
          "前瞻性队列中的巢式分析；本摘要导读未确认完整随访时长。"
        ]
      },
      {
        "id": "funding",
        "title": "研究资金来源",
        "paragraphs": [
          "资金与利益关系信息尚未经全文核实，请结合原论文声明阅读。"
        ]
      },
      {
        "id": "conflicts",
        "title": "研究利益关系",
        "paragraphs": [
          "资金与利益关系信息尚未经全文核实，请结合原论文声明阅读。"
        ]
      },
      {
        "id": "basis",
        "title": "导读范围",
        "paragraphs": [
          "依据引文记录与摘要。2026年9月17日在线发表，编入2026年11月期。"
        ],
        "links": [
          {
            "label": "PubMed",
            "url": "https://pubmed.ncbi.nlm.nih.gov/42801852/"
          }
        ]
      }
    ]
  }
}