Evidence map›Paper›PMID 38983263›Full record

Observational studyFrontiers in public health2024

Age and estimated glomerular filtration rate in Chinese older adults: a cohort study from 2014 to 2020.

Ying Jiang, Qin Cao, Weiqi Hong, Tianwei Xu, Molian Tang, Yun Li, Renying Xu

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Ying Jiang *Department of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qin Cao *Health Management Center, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Weiqi Hong *Shanghai Pudong New Area Caolu Community Health Center, Shanghai, China.
Tianwei XuStress Research Institute, Department of Psychology, Stockholm University, Stockholm, Sweden.
Molian TangDepartment of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yun LiSchool of Public Health, North China University of Science and Technology, Tangshan, China.
Renying XuDepartment of Clinical Nutrition, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to fill the data gap of the course of renal function decline in old age and explore changes in renal function across different health states with increasing age. Methods: This observational, retrospective, single-center cohort study included 5,112 Chinese older adults (3,321 men and 1,791 women, range 60-104 years). The individual rate of estimated glomerular filtration rate (eGFR) decline was analyzed using linear mixed-effects model to account for repeated measures over the years. Results: The median age was 66 years, median BMI was 24.56 kg/m Conclusion: The eGFR declined linearly with age in Chinese older adults, with women exhibiting a slightly faster decline than men. Both men and women should be cautious of SBP. Older adults with normal baseline renal function experienced a faster eGFR decline. Men with high TG, LDL-C, and low HDL-C levels, as well as obese women, should be vigilant in monitoring renal function.

Indexed as

Glomerular Filtration RateAgedAged, 80 and overAge FactorsBody Mass IndexChinaCohort StudiesEast Asian PeopleFemaleHumansMaleMiddle AgedRetrospective Studiesagedblood pressuredyslipidemiasglomerular filtration rateobesity

Identifiers

PMID38983263
PMCPMC11231386

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.