Evidence mapPaperPMID 41555445Full record

ArticleDiabetology & metabolic syndrome2026

Infection trajectories and dementia risk in type 2 diabetes.

Peilin Xie, Zhongyuan Lu, Shige Xue, Mengrong Miao, Saihao Fu, Jiao Wang, Yitian Yang, Wan-Ming Chen, Szu-Yuan Wu, Jiaqiang Zhang and 1 more

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Peilin Xie *Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Zhongyuan Lu *Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Shige Xue *Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Mengrong MiaoDepartment of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Saihao FuDepartment of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Jiao WangDepartment of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Yitian YangDepartment of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Wan-Ming ChenGraduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan.
Szu-Yuan Wu *Graduate Institute of Business Administration, College of Management, Fu Jen Catholic University, Taipei, Taiwan. szuyuanwu5399@gmail.com.
Jiaqiang Zhang *Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China. zhangjiq@zzu.edu.cn.
Mingyang Sun *Department of Anesthesiology and Perioperative Medicine, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China. mingyangsun1986@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDementia poses a significant global health burden, with rising prevalence and substantial economic and social costs. Type 2 diabetes mellitus (T2DM) is a well-established risk factor for dementia, yet the impact of recurrent infections—a common complication in T2DM—on dementia risk remains unclear. This study investigates the role of longitudinal infection trajectories in dementia development.

methodsThis retrospective cohort study utilized Taiwan’s National Health Insurance Research Database to identify 33,080 patients with T2DM aged ≥ 40 years who were hospitalized with an infection in 2011. Group-based trajectory modeling characterized infection patterns over the subsequent 5 years (2011–2016). Four trajectory groups were identified in the full cohort: infrequent (N = 29,891), decreasing (N = 2,081), increasing (N = 1,013), and frequent infections (N = 95). We then implemented a landmark design: among patients who were alive and dementia-free on January 1, 2016 (N = 31,667), incident dementia was ascertained during the 5-year outcome period (2016–2020). Cox proportional hazards models estimated the associations between infection trajectories and incident dementia, adjusting for age, sex, frailty, diabetes severity, Charlson Comorbidity Index, and other confounders; death was treated as censoring in the primary models and as a competing event in Fine–Gray sensitivity analyses.

resultsDuring the 2016–2020 landmark outcome period, 1,069 incident dementia cases occurred among the 31,667 patients at risk (798, 218, 47, and 6 cases in the infrequent, decreasing, increasing, and frequent infection groups, respectively). Compared with the infrequent infection group, patients with increasing and frequent infections had significantly higher dementia risk (adjusted hazard ratio [HR] 1.48, 95% CI 1.29–1.69, and 1.92, 95% CI 1.22–3.02, respectively). Five-year cumulative dementia incidence increased stepwise from 3.1% in the infrequent group to 6.3% in the frequent group. Infection trajectories were also strongly associated with all-cause mortality, with adjusted HRs of 2.69 (95% CI 2.51–2.89) and 4.78 (95% CI 4.09–5.58) for the increasing and frequent infection groups, respectively.

conclusionsRecurrent infection trajectories significantly elevate dementia risk in T2DM patients. These findings extend beyond prior single-episode infection studies by introducing a trajectory-based, methodologically robust approach that minimizes survival bias and incorporates frailty and comorbidity indices. They underscore the need for infection prevention and sustained management—such as vaccination, timely antimicrobial therapy, and glycemic control—to mitigate long-term cognitive decline in this high-risk population.

Indexed as

Cognitive declineDementiaInfection trajectoriesNeuroinflammationType 2 diabetes mellitus

Identifiers

PMID41555445
PMCPMC12903614

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.