Iter-4360dd15-0036-transcript
第 36 轮执行轨迹
→ call search_memory({"limit":10,"query":"4360dd15 PMID 38310895 reference chain remaining 11 studies"}) → call list_recent({"n":8})
→ call list_by_tag({"limit":20,"tag":"4360dd15"})
【tool:search_memory】
{"ok": true, "results": [{"title": "Iter-4360dd15-0010-transcript", "tags": "iteration transcript", "modified": "20260424175830000", "preview": "!! 第 10 轮执行轨迹
→ cal"}, {"title": "Iter-4360dd15-0033-transcript", "tags": "iteration transcript", "modified": "20260424190229000", "preview": "!! 第 33 轮执行轨迹 → call search_memory({\\\"limit\\\":8,\\\"query\\\":\\\"4360dd15 rapamycin review 2"}, {"title": "Iter-4360dd15-0025-transcript", "tags": "iteration transcript", "modified": "20260424183856000", "preview": "!! 第 25 轮执行轨迹 【tool:list_recent】
{"ok": true, "items": [{"title": "Error-20260425-030741", "modified": "20260424190741000", "tags": "error iteration"}, {"title": "Error-20260425-030601", "modified": "20260424190601000", "tags": "error iteration"}, {"title": "Iter-4360dd15-0033-reflection", "modified": "20260424190238000", "tags": "iteration reflection"}, {"title": "NEXT_FOCUS", "modified": "20260424190238000", "tags": "pinned focus"}, {"title": "先找机器可读源", "modified": "20260424190238000", "tags": "lesson evidence-retrieval reference-chain crossref"}, {"title": "Iter-4360dd15-0033-transcript", "modified": "20260424190229000", "tags": "iteration transcript"}, {"title": "Iter-4360dd15-0032-reflection", "modified": "20260424190005000", "tags": "iteration reflection"}, {"title": "先拿到可解析的参考文献源", "modified": "20260424190005000", "tags": "lesson evidence-retrieval reference-chain crossref"}]}
【tool:list_by_tag】
{"ok": true, "items": [{"title": "Iter-4360dd15-0030-vu-research-portal-entry-without-direct-pdf-link", "modified": "20260424185400000"}, {"title": "2024 rapamycin systematic review: abstract-level constraints and what remains missing", "modified": "20260424175824000"}, {"title": "Added included ADPKD rapalog trial CRAD001ADE12 and its body-weight endpoint", "modified": "20260424174657000"}, {"title": "Rapamycin human trials: completed studies table from PMC review", "modified": "20260424174352000"}, {"title": "Iter-4360dd15-0004-critique-rapamycin-evidence", "modified": "20260424174226000"}, {"title": "Rapamycin human trials: extracted endpoints and outcomes from the 2024 systematic review review pass 1", "modified": "20260424173529000"}, {"title": "Human longevity interventions evidence maturity matrix 2026-04-25", "modified": "20260424173237000"}]}
→ call web_search({"limit":5,"query":"PMID 38310895 Europe PMC API references JSON"})
→ call web_search({"limit":5,"query":"38310895 PubMed API references Crossref JSON"})
→ call pubmed_search({"limit":5,"query":"38310895"})
【tool:web_search】
{"ok": true, "query": "PMID 38310895 Europe PMC API references JSON", "results": [{"title": "Europe PMC", "url": "https://europepmc.org/restfulwebservice", "snippet": "For background information on Europe PMC content refer to the Web Service Reference Guide (Sections 2 and 3) and What am I searching on Europe PMC ? The search module can be used to query search fields. Refer to the fields module, the search syntax reference or the Web Service Reference Guide for a list of available fields."}, {"title": "For Developers - PMC", "url": "https://pmc.ncbi.nlm.nih.gov/tools/developers/", "snippet": "Not all articles in PMC are available for text mining and other reuse. The PMC Cloud Service, PMC OAI-PMH Service, PMC FTP Service, E-Utilities and BioC API are the only services that may be used for automated retrieval of PMC content. Systematic retrieval (or bulk retrieval) of articles through any other automated process is prohibited. License terms vary. Please refer to the license ..."}, {"title": "API Reference | PyEuropePMC Documentation", "url": "https://jonasheinickebio.github.io/pyEuropePMC/api/", "snippet": "The advanced fluent API for building complex search queries with type safety and validation. Key Features Fluent API : Chain methods to build complex queries Type Safety: Field names validated at compile time Validation: Optional syntax validation with search-query package Persistence: Save/load queries in standard JSON format Translation: Convert between platform syntaxes
【tool:web_search】
{"ok": true, "query": "38310895 PubMed API references Crossref JSON", "results": [{"title": "REST API - Crossref", "url": "https://www.crossref.org/documentation/retrieve-metadata/rest-api/", "snippet": "Our publicly available REST API exposes the scholarly metadata that members and trusted sources deposit with Crossref . This bibliographic metadata and much more—you will find funding data, license information, post-publication updates, ORCID and ROR IDs, and abstracts. You can search, facet, filter, or sample metadata from dozens of thousands of members from all around the world, and the ..."}, {"title": "Pubmed Verifier - OpenClaw AI Agent Skill | LLMBase", "url": "https://llmbase.ai/openclaw/pubmed-verifier/", "snippet": "PubMed Citation Verifier v2.1 Five-state batch verification of PMID citations via PubMed E-utilities API , with SQLite caching, CSV support, and Crossref DOI verification."}, {"title": "For Developers - PMC", "url": "https://pmc.ncbi.nlm.nih.gov/tools/developers/", "snippet": "For Developers PMC hosts a number of important article datasets and makes our APIs and some code available via public code repositories."}, {"title": "GitHub - CrossRef/rest-api-doc: Documentation for Crossref's REST API ...", "url": "https://github.com/CrossRef/rest-api-doc", "snippet": "The Crossref REST API has been updated to use Elasticsearch instead of Solr -- read more about that project here. The Crossref REST API is one of a variety of tools and APIs that allow anybody
【tool:pubmed_search】
{"ok": true, "query": "38310895", "results": [{"pmid": "38310895", "title": "Targeting ageing with rapamycin and its derivatives in humans: a systematic review.", "source": "Lancet Healthy Longev", "pubdate": "2024 Feb", "authors": ["Lee DJW", "Hodzic Kuerec A", "Maier AB"], "url": "https://pubmed.ncbi.nlm.nih.gov/38310895/"}]}
→ call web_fetch({"max_chars":6000,"url":"https://pubmed.ncbi.nlm.nih.gov/38310895/"})
→ call web_fetch({"max_chars":6000,"url":"https://api.crossref.org/works?query.bibliographic=Targeting%20ageing%20with%20rapamycin%20and%20its%20derivatives%20in%20humans%3A%20a%20systematic%20review"})
【tool:web_fetch】
{"ok": false, "error": "Client error '403 Forbidden' for url 'https://pubmed.ncbi.nlm.nih.gov/38310895/'\nFor more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/403"}
【tool:web_fetch】
{"ok": true, "url": "https://api.crossref.org/works?query.bibliographic=Targeting%20ageing%20with%20rapamycin%20and%20its%20derivatives%20in%20humans%3A%20a%20systematic%20review", "status": 200, "content_type": "application/json", "text": "{\"status\":\"ok\",\"message-type\":\"work-list\",\"message-version\":\"1.0.0\",\"message\":{\"facets\":{},\"total-results\":9999976,\"items\":[{\"indexed\":{\"date-parts\":2026,4,16,\"date-time\":\"2026-04-16T16:09:43Z\",\"timestamp\":1776355783729,\"version\":\"3.51.2\"},\"reference-count\":75,\"publisher\":\"Elsevier BV\",\"issue\":\"2\",\"license\":[{\"start\":{\"date-parts\":2024,2,1,\"date-time\":\"2024-02-01T00:00:00Z\",\"timestamp\":1706745600000},\"content-version\":\"tdm\",\"delay-in-days\":0,\"URL\":\"https:\\/\\/www.elsevier.com\\/tdm\\/userlicense\\/1.0\\/\"},{\"start\":{\"date-parts\":2024,2,1,\"date-time\":\"2024-02-01T00:00:00Z\",\"timestamp\":1706745600000},\"content-version\":\"tdm\",\"delay-in-days\":0,\"URL\":\"https:\\/\\/www.elsevier.com\\/legal\\/tdmrep-license\"},{\"start\":{\"date-parts\":2023,11,24,\"date-time\":\"2023-11-24T00:00:00Z\",\"timestamp\":1700784000000},\"content-version\":\"vor\",\"delay-in-days\":0,\"URL\":\"http:\\/\\/creativecommons.org\\/licenses\\/by\\/4.0\\/\"}],\"funder\":[{\"DOI\":\"10.13039\\/100020054\",\"name\":\"Lien Foundation\",\"doi-asserted-by\":\"publisher\",\"id\":[{\"id\":\"10.13039\\/100020054\",\"id-type\":\"DOI\",\"asserted-by\":\"publisher\"}]}],\"content-domain\
→ call run_python({"code":"import json, re, requests\nurl='https://api.crossref.org/works/10.1016/S2666-7568(23)00258-1'\njs=requests.get(url, timeout=20).json()\nmsg=js['message']\nrefs=msg.get('reference', [])\nprint('ref_count', len(refs))\n# show refs with DOI/article-title/year/journal-title\nfor i,r in enumerate(refs[:30],1):\n print(f\"{i:02d}\", r.get('DOI','-'), '|', r.get('year','-'), '|', r.get('artic)
【tool:run_python】
{"ok": true, "stdout": "ref_count 75\n01 10.1016/S0140-6736(20)30977-6 | 2020 | Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries \n02 10.1016/S0140-6736(17)32154-2 | 2017 | Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for \n03 10.1038/s43587-021-00080-0 | 2021 | The economic value of targeting aging\n04 10.12688/f1000research.17196.1 | 2019 | mTOR as a central regulator of lifespan and aging\n05 10.1159/000484629 | 2018 | mTOR as regulator of lifespan, aging, and cellular senescence: a mini-review\n06 10.1016/j.cell.2022.11.001 | 2023 | Hallmarks of aging: an expanding universe\n07 10.1038/nri3901 | 2015 | Regulation of innate immune cell function by mTOR\n08 10.1164/rccm.201810-1975TR | 2019 | Cellular senescence as a mechanism and target in chronic lung diseases\n09 10.21037/atm-21-6427 | 2021 | ", "stderr": "Traceback (most recent call last):\n File \"C:\\Users\\yh599\\Documents\\GitHub\\LLM-yh\\Sisyphus\\workspace\\_run_1777057761746.py\", line 9, in <module>\n print(f\"{i:02d}\", r.get('DOI','-'), '|', r.get('year','-'), '|', r.get('article-title','-')[:120])\n ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\Python313\\Lib\\encodings\\cp1252.py\", line 19, in encode\n return codecs.charmap_encode(input,self.errors,encoding_table)[0]\n ~~~~~~~~~~~~~
→ call define_tool({"name":"crossref_reference_harvest","description":"Fetch Crossref metadata for a DOI and optionally filter its reference list by keywords, DOI presence, year, or journal. Useful for tracing citation chains from a paper's reference array.","code":"import json, re\nfrom typing import List, Dict, Any\nimport requests\n\ndef run(**kwargs):\n doi = kwargs.get('doi')\n query = kwargs.get('query'))
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}
→ call define_tool({"name":"crossref_reference_harvest","description":"Fetch Crossref metadata for a DOI and optionally filter its reference list by keywords, DOI presence, year, or journal. Useful for tracing citation chains from a paper's reference array.","code":"import json\nimport requests\n\ndef run(**kwargs):\n doi = kwargs.get('doi')\n query = kwargs.get('query')\n limit = int(kwargs.get('limit', 20)
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}
→ call define_tool({"name":"crossref_reference_harvest","description":"Fetch Crossref metadata for a DOI and optionally filter its reference list by keywords, DOI presence, year, or journal. Useful for tracing citation chains from a paper's reference array.","code":"import json\nimport requests\n\ndef run(**kwargs):\n doi = kwargs.get('doi')\n query = kwargs.get('query')\n limit = int(kwargs.get('limit', 20)
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}
→ call run_python({"code":"import requests, json, re, unicodedata\nfrom collections import OrderedDict\n\nDOI='10.1016/S2666-7568(23)00258-1'\nmsg=requests.get(f'https://api.crossref.org/works/{DOI}', timeout=30, headers={'User-Agent':'Sisyphus/1.0'}).json()['message']\nrefs=msg['reference']\nkeywords=['rapamycin','sirolimus','everolimus','temsirolimus','mTOR','rapalog','RTB101','CRAD001','RAD001','deforolimus']\n#)
【tool:run_python】
{"ok": true, "stdout": "total refs 75\nhits 56\n01 | 2019 | 10.12688/f1000research.17196.1 | mTOR as a central regulator of lifespan and aging\n02 | 2018 | 10.1159/000484629 | mTOR as regulator of lifespan, aging, and cellular senescence: a mini-review\n03 | 2015 | 10.1038/nri3901 | Regulation of innate immune cell function by mTOR\n", "stderr": "Traceback (most recent call last):\n File \"C:\\Users\\yh599\\Documents\\GitHub\\LLM-yh\\Sisyphus\\workspace\\_run_1777057799646.py\", line 29, in <module>\n print(f\"{i:02d} | {h['year']} | {h['doi']} | {h['title'][:140] if h['title'] else ''}\")\n ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\Python313\\Lib\\encodings\\cp1252.py\", line 19, in encode\n return codecs.charmap_encode(input,self.errors,encoding_table)[0]\n ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nUnicodeEncodeError: 'charmap' codec can't encode character '\\u03b2' in position 47: character maps to <undefined>\n", "returncode": 1}
→ call list_tools({})
【tool:list_tools】
{"ok": true, "tools": [{"name": "search_memory", "description": "在 TiddlyWiki 长期记忆中按关键字搜索（支持中文空格分隔），返回标题、标签、预览。每轮迭代开始前应先调用以回忆。", "custom": false}, {"name": "read_note", "description": "读取某一条 tiddler 的完整正文。", "custom": false}, {"name": "write_note", "description": "向 TiddlyWiki 写入（或覆盖）一条 tiddler。这是 Sisyphus 的长期记忆入口——每轮至少写一条。建议标签：knowledge, experiment, reflection, plan, idea, fact, question, lesson。TiddlyWiki 标记：!! 小标题，''粗体''，斜体，其它tiddler。", "custom": false}, {"name": "list_recent", "description": "列出最近修改过的 tiddler。", "custom": false}, {"name": "list_by_tag", "description": "按标签列出相关 tiddler。", "custom": false}, {"name": "run_python", "description": "在 workspace/ 下以子进程执行一段 Python 代码，返回 stdout/stderr。用于计算、模拟、验证假设、抓取公开数据（禁止任何破坏性操作）。", "custom": false}, {"name": "read_file", "description": "读取 workspace/ 下的某个文件。", "custom": false}, {"name": "write_file", "description": "向 workspace/ 下写入文件（默认覆盖，append=true 时追加）。", "custom": false}, {"name": "list_files", "description": "列出 workspace/ 下的文件。", "custom": false}, {"name": "web_fetch", "description": "抓取任意公开 URL（GET），返回剥离 HTML 后的纯文本。适合读论文摘要、文档、博客、百科。", "custom": false}, {"name": "web_search", "description": "用 DuckDuckGo 搜索互联网，返回 title/url/snippet 列表。找入口、找链接、调研时用。", "custom": false}, {"name": "wiki_search", "description": "维基百科搜索：返回若干条目的摘要和 URL。lang 默认 en，可传 zh 等。", "custom": false}, {"name": "arxiv_search", "description": "arXiv 论文检索：标题/作者/摘要/链接。理论、数学、物理、CS、bio 类前沿论文的主入口。", "custom": false}, {"name": "pubmed_search", "descriptio
→ call define_tool({"name":"crossref_reference_harvest","description":"Fetch Crossref metadata for a DOI and optionally filter its reference list by keywords, DOI presence, year, or journal. Useful for tracing citation chains from a paper's reference array.","code":"import json\nimport requests\n\ndef run(**kwargs):\n doi = kwargs.get('doi')\n query = kwargs.get('query')\n limit = int(kwargs.get('limit', 20)
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 1 required positional argument: 'parameters'"}
→ call define_tool({"parameters":{"name":"crossref_reference_harvest","description":"Fetch Crossref metadata for a DOI and optionally filter its reference list by keywords, DOI presence, year, or journal. Useful for tracing citation chains from a paper's reference array.","code":"import json\nimport requests\n\ndef run(**kwargs):\n doi = kwargs.get('doi')\n query = kwargs.get('query')\n limit = int(kwargs.g)
【tool:define_tool】
{"ok": false, "error": "参数错误: tool_define_tool() missing 3 required positional arguments: 'name', 'description', and 'code'"}
→ call run_python({"code":"import requests, json, unicodedata, re\nDOI='10.1016/S2666-7568(23)00258-1'\nmsg=requests.get(f'https://api.crossref.org/works/{DOI}', timeout=30, headers={'User-Agent':'Sisyphus/1.0'}).json()['message']\nrefs=msg['reference']\n\ndef norm(s):\n return unicodedata.normalize('NFKD', str(s)).encode('ascii', 'ignore').decode('ascii').lower()\n\n# Candidate human-study refs by title keyword)
【tool:run_python】
{"ok": true, "stdout": " \"author\": \"Boni\"\n },\n {\n \"doi\": \"10.1007/s11357-019-00113-y\",\n \"year\": \"2019\",\n \"title\": \"Topical rapamycin reduces markers of senescence and aging in human skin: an exploratory, prospective, randomized trial\",\n \"journal\": \"Geroscience\",\n \"author\": \"Chung\"\n },\n {\n \"doi\": \"10.1016/j.metabol.2012.07.003\",\n \"year\": \"2013\",\n \"title\": \"Rapamycin does not affect post-absorptive protein metabolism in human skeletal muscle\",\n \"journal\": \"Metabolism\",\n \"author\": \"Dickinson\"\n },\n {\n \"doi\": \"10.1113/jphysiol.2008.163816\",\n \"year\": \"2009\",\n \"title\": \"Rapamycin administration in humans blocks the contraction-induced increase in skeletal muscle protein synthesis\",\n \"journal\": \"J Physiol\",\n \"author\": \"Drummond\"\n },\n {\n \"doi\": \"10.1152/ajpendo.00600.2013\",\n \"year\": \"2014\",\n \"title\": \"Activation of mTORC1 signaling and protein synthesis in human muscle following blood flow restriction exercise is inhibited by rapamycin\",\n \"journal\": \"Am J Physiol Endocrinol Metab\",\n \"author\": \"Gundermann\"\n },\n {\n \"doi\": \"10.1111/cts.12812\",\n \"year\": \"2020\",\n \"title\": \"Dose-dependent acute effects of everolimus administration on immunological, neuroendocrine and psychological parameters in healthy men\",\n \"j
→ call read_note({"title":"Rapamycin human trials: completed studies table from PMC review"})
【tool:read_note】
{"ok": true, "title": "Rapamycin human trials: completed studies table from PMC review", "tags": "knowledge fact 4360dd15", "text": "!! PMC review Table 1: completed human rapamycin / rapalog trials\n\nI re-read the accessible PMC review Blazing a trail for the clinical use of rapamycin as a geroprotecTOR (GeroScience 2023; PMCID PMC10643772) and extracted its completed-trial table.\n\n!! What this source actually contains\nThe table lists ''8 completed human studies'' and gives each study’s primary endpoint.\n\n!! Extracted trial list\n| Study | Agent | Population | Primary endpoint |\n|---|---|---|---|\n| Krebs et al. 2007 | rapamycin | 11 men, 28 ± 1 y | Increase in peripheral insulin sensitivity during insulin clamp plus amino acid infusion |\n| Drummond et al. 2009 | rapamycin | 15 men, 29 ± 2 y | Difference in post-resistance-exercise mixed-muscle protein synthesis rates |\n| Gunderman 2014 | rapamycin | 16 men, 26 ± 1 y | Difference in post-blood-flow-restricted resistance-exercise mixed-muscle protein synthesis rates |\n| Mannick et al. 2014 | everolimus | 218 adults ≥65 y | Improvement in influenza vaccination response |\n| Mannick et al. 2018 | everolimus / BEZ235 | 264 adults ≥65 y | Improvement in influenza vaccination response |\n| Kraig et al. 2018 | rapamycin | 25 healthy adults 70–95 y | Immunological response |\n| Chung et al. 2019 | topical rapamycin | 36 adults with aging skin >40 y | Decreased p16-positive senescent cells in skin |\n| Mannick et al. 20
→ call run_python({"code":"import requests, unicodedata, json, re\nDOI='10.1016/S2666-7568(23)00258-1'\nmsg=requests.get(f'https://api.crossref.org/works/{DOI}', timeout=30, headers={'User-Agent':'Sisyphus/1.0'}).json()['message']\nrefs=msg['reference']\n\ndef ascii(s):\n return unicodedata.normalize('NFKD', str(s)).encode('ascii', 'ignore').decode('ascii')\n\nfor i,r in enumerate(refs,1):\n title=ascii(r.get)
【tool:run_python】
{"ok": true, "stdout": "nt methotrexate: a 3-month, double-blind, randomised, placebo-controlled, parallel-group, pr | Ann Rheum Dis\n42 | 2019 | 10.1155/2019/7684352 | Low-dose sirolimus immunoregulation therapy in patients with active rheumatoid arthritis: a 24-week follow-up of the randomized, open-label, parallel-controlled | J Immunol Res\n43 | 2009 | 10.1053/j.seminoncol.2009.10.009 | Intravenous temsirolimus in cancer patients: clinical pharmacology and dosing considerations | Semin Oncol\n46 | 2019 | 10.1016/j.expneurol.2018.09.011 | Early intrathecal infusion of everolimus restores cognitive function and mood in a murine model of Alzheimer's disease | Exp Neurol\n47 | 2018 | | Rapamycin reduces degeneration of neurons by inhibiting Akt/mTOR/p70S6K pathway and restoring autophagy in EAE mice | Int J Clin Exp Med\n48 | 2013 | 10.1111/acel.12109 | Late-life rapamycin treatment reverses age-related heart dysfunction | Aging Cell\n51 | 2017 | 10.3389/fphys.2017.00788 | mTOR as a key regulator in maintaining skeletal muscle mass | Front Physiol\n52 | 2020 | 10.1002/jcsm.12505 | mTORC1 signalling is not essential for the maintenance of muscle mass and function in adult sedentary mice | J Cachexia Sarcopenia Muscle\n53 | 2007 | 10.1152/japplphysiol.00873.2006 | Rapamycin inhibits the growth and muscle-sparing effects of clenbuterol | J Appl Physiol\n55 | 2012 | 10.1146/annurev-immunol-020711-075024 | Regulation of immune responses by mTOR | Annu Rev Immunol\n56 | 2009 | 10.
【assistant】
本轮结论：
- 已确认 PMID 38310895 对应论文的 Crossref 元数据可直接机器读取，且**reference 数组完整可抓**（75 条）。
- 用关键词筛查 reference 数组后，已经从参考链里识别出一批**与 rapamycin / sirolimus / everolimus 相关的人体研究候选项**，说明不必再依赖 403 页面或全文抓取。
- 其中最值得优先核对的候选包括：
1. **Kraig et al. 2018**
DOI: 10.1016/j.exger.2017.12.026
标题：*A randomized control trial to establish the feasibility and safety of rapamycin treatment in an older human cohort...*
2. **Chung et al. 2019**
DOI: 10.1007/s11357-019-00113-y
标题：*Topical rapamycin reduces markers of senescence and aging in human skin...*
3. **Low-dose sirolimus in active RA follow-up**
DOI: 10.1155/2019/7684352
4. **Evaluation of off-label rapamycin use to promote healthspan in 333 adults**
DOI: 10.1007/s11357-023-00818-1
- 这意味着：**补全 2024 综述 Table 1 剩余 11 项的路径已经明确**，下一步不是再找入口，而是**逐条验证候选试验是否属于该表的纳入研究，并提取 agent / population / primary endpoint**。
本轮没有成功写入记忆库，是因为已触发工具上限；下面这条可以直接作为下轮切入点。
<NEXT_FOCUS>逐条验证 Crossref 命中的 4 个 rapamycin/rapalog 人体研究 DOI，先锁定 Kraig 2018 与 Chung 2019 是否属于 2024 综述 Table 1 剩余纳入项，并抽取其样本量与 primary endpoint。</NEXT_FOCUS>
```