时间标签：数据日期 2026-11-01 · 生成时间 2026-11-01 05:30（Asia/Shanghai）｜ 检索窗口 PubMed edat 2026/10/31–2026/11/01 ｜ 情报发生日期 2026-11-01
研究问题
Traditional risk assessment primarily relies on baseline data such as age and gender, yet fails to fully capture the nonlinear relationships among multidimensional indicators, resulting in limited predictive efficacy ( ).；In recent years, machine learning algorithms have demonstrated significant potential in constructing predictive models for medical applications.
方法
The cutoff point for standardized scores is 50 points, with 50–59 points indicating mild anxiety, 60–69 points indicating moderate anxiety, and 70 points or above indicating severe anxiety. 2.11 Statistical analysis Data statistical…；For normally distributed quantitative data, independent samples t-tests were performed, with study design with larger, multi-center cohorts and incorporate external validation to enhance the reliability and scientific rigor of；All patient data were extracted from the electronic medical record system.
核心结论
Examples include accelerated brain protein atrophy, bone calcium loss, and diminished limb strength, collectively leading to reduced skeletal muscle mass.；Previous studies indicate that in women, estrogen deficiency directly leads to uninhibited osteoclast activity, reduced osteoblast function, and impaired vitamin D synthesis, accelerating rapid bone loss.；The overlap-coverage results remained unchanged, and the final logistic regression model yielded consistent significant predictors, confirming the robustness of our findings.；This leads to weakened anabolic metabolism, increased catabolic processes, and diminished muscle regeneration capacity, triggering “metabolic resistance” ( ).；Conclusions In conclusions. summary, age, TFI score, GNRI, Barthel Index, and SAS score significantly influence the development of osteoporosis in elderly patients with frailty and cerebral infarction.
局限
Nevertheless, we acknowledge that the pre-screening step remains a limitation, and future studies with larger sample sizes should consider omitting this step to allow for unbiased variable selection.；The Hosmer-Lemeshow test yielded χ²=2.345, P = 0.969, also supporting adequate fit; however, we acknowledge that this test has limited power in small samples and should be interpreted with caution.
对本项目的价值
干预级证据，可直接进入证据表并校准效应量参照：功能结局（衰弱 / 肌少症）是临床转化最可及的终点，适合作为一期终点候选。 ｜ 价值分 1.6/5（★★☆☆☆）
全文来源
PubMed PMC JATS 全文（正文 36,520 字符，已过 DOI 逐字 + 题名指纹双重归属校验）
原文题录
- 英文标题：A predictive model for osteoporosis in frail elderly patients with cerebral infarction: an integrated analysis based on machine learning and care-sensitive indicators.
- 期刊与标识：Frontiers in endocrinology · PMID 42959051 · DOI 10.3389/fendo.2026.1771964
A 级证据分级：A 级（同行评议人体研究）
本文属人体研究证据，但需注意：观察性或小样本干预的结论不等于已证实临床获益；效应量与长期安全性仍需更大规模、更长随访的试验验证。
关于本文的文献来源：本站依据 IMA 知识库「五刊监控·深度文献卡片」撰写，依据已获取的期刊全文（方法、样本量与结论已回到原文核对）；未能获取全文的同批条目另行标注「摘要级」，全程未做任何数值推算补全。