Evidence map›Paper›PMID 42486509›Full record

ArticleGeriatrics & gerontology international2026

Association Between Serum Creatinine to Cystatin C Ratio and Activities of Daily Living Disability Trajectories: Evidence From the China Health and Retirement Longitudinal Study.

Shangning Wu, Fengdan Wang, Xiaojing Feng, Sitong Xin, Xiaotong Li, Jing Zhao, Shufei Li, Zihan Meng, Hongyue Chen, Yang Yang and 3 more

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Shangning WuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Fengdan WangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Xiaojing FengDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Sitong XinDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Xiaotong LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Jing ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Shufei LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Zihan MengDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Hongyue ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Yang YangDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Ying ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.
Xin WangInfection Control Department, China-Japan Union Hospital of Jilin University, Changchun City, Jilin, PR China.
Bo LiDepartment of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, PR China.ORCID https://orcid.org/0000-0003-1455-9596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe severity of activities of daily living (ADL) disability, encompassing basic activities of daily living (BADL) disability and instrumental activities of daily living (IADL) disability, exhibited dynamic changes and heterogeneity across individuals. Serum creatinine to cystatin C ratio (CCR) was identified as a predictor of sarcopenia. This study aimed to clarify the ADL/BADL/IADL disability trajectories and their relationships with the CCR among Chinese middle-aged and older people.

methodsThe study included 4617 participants from the China Health and Retirement Longitudinal Study. Group-Based Trajectory Modeling (GBTM) was applied to explore the ADL/BADL/IADL disability trajectories. Using logistic regression analysis to estimate the associations between CCR and these trajectories.

resultsThree ADL/BADL/IADL disability trajectories were identified: low-level stable group, low-level increasing group, and high-level increasing group. Logistic analysis showed that higher CCR was significantly associated with lower odds of being classified into group 2 (OR = 0.91, 95% CI = 0.88-0.95) and group 3 (OR = 0.85, 95% CI = 0.79-0.92) in ADL. Each one-unit increase in CCR was correlated with 7% and 16% lower odds for BADL group 2 (OR = 0.93, 95% CI = 0.89-0.96) and group 3 (OR = 0.84, 95% CI = 0.78-0.90), 6% (OR = 0.94, 95% CI = 0.90-0.97) and 15% (OR = 0.85, 95% CI = 0.79-0.91) lower odds for IADL group 2 and 3. Interaction analysis demonstrated that CCR, age, marital status, smoking status, hypertension, dyslipidemia, and BMI exhibited significant interactions in their effects on ADL/BADL/IADL disability trajectories.

conclusionThree ADL/BADL/IADL disability trajectories were identified among Chinese middle-aged and older adults. The negative associations were observed between CCR and ADL/BADL/IADL disability trajectories, highlighting the need for targeted strategies.

Indexed as

Activities of Daily LivingCreatinineCystatin CSarcopeniaAgedBiomarkersChinaDisability EvaluationFemaleGeriatric AssessmentHumansLongitudinal StudiesMaleMiddle AgedBiomarkersCreatinineCystatin Cactivities of daily living disabilityCHARLSgroup‐based trajectory modelingserum creatinine to cystatin C ratio

Identifiers

PMID42486509
PMCPMC13391232

What Socratic holds

Textmetadata
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.