Evidence map›Paper›PMID 35518515›Full record

ArticleInternational journal of general medicine2022

The Predicted Value of Kidney Injury Molecule-1 (KIM-1) in Healthy People.

Shanshan Peng, Na Liu, Kai Wei, Gang Li, Zheng Zou, Tao Liu, Meifang Shi, Yuan Lv, Yong Lin

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Sex-specific modulation of renal epigenetic and injury markers in aging kidney.American journal of physiology. Renal physiology · 2024
    Article
  10. Article
  11. Comparison of BTP, NGAL, KIM-1, & ADMA biomarkers in CKD and non-CKD subjects.International journal of biochemistry and molecular biology · 2023
    Article
  12. Review
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

9 authors at 1 institution in 1 country.

Shanshan PengDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.ORCID 0000-0001-9092-2321
Na LiuDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Kai WeiDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Gang LiShanghai Baoshan Renhe Hospital, Shanghai, People's Republic of China.
Zheng ZouYouyi Road Community Health Service Centre for Baoshan District, Shanghai, People's Republic of China.
Tao LiuYouyi Road Community Health Service Centre for Baoshan District, Shanghai, People's Republic of China.
Meifang ShiYouyi Road Community Health Service Centre for Baoshan District, Shanghai, People's Republic of China.
Yuan LvDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Yong LinDepartment of Laboratory Medicine, Huashan Hospital, Fudan University, Shanghai, People's Republic of China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Recent studies have focused on whether kidney injury molecule-1 (KIM-1) might serve as a marker of acute kidney tubular injury. Our study analyzed the levels of KIM-1 in the healthy population of different ages to explore the correlation between KIM-1 and age. Moreover, we constructed a model to predict kidney age. Methods: A cross-sectional study was conducted by Huashan Hospital, Shanghai, China, between April 2020 and December 2020. KIM-1 and other kidney biomarkers were measured in 176 healthy individuals ranging from 26 to 91 years old. Statistical correlated analyses for urinary KIM-1, creatinine (uCREA), potassium (K), sodium (Na) and chlorine (Cl), plasmic renin, angiotensin-2 (AngII) and aldosterone (ALD), and serum microalbuminuria (MALB), β2-microglobulin (B2MG), cystatin C (CYSC), urea nitrogen (BUN), creatinine (CREA), and glucose (GLU) were performed to assess the correlation between age and kidney biomarkers. All variables were selected as independent variables for the prediction of age by multiple linear regression. Results: KIM-1 positively correlated with age in kidney healthy people ( Conclusion: The level of urinary KIM-1 increases with age in healthy people. The model constructed by KIM-1 and the other 7 biomarkers can predict kidney age in healthy people.

Indexed as

aginghealthykidney biomarkersKIM-1

Identifiers

PMID35518515
PMCPMC9064178
OpenAlexW4285740523

What OpenQuestion holds

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LicenceCC BY-NC
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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.