Evidence map›Paper›PMID 33246435›Full record

Observational studyBMC nephrology2020

The effect of glucocorticoids on serum cystatin C in identifying acute kidney injury: a propensity-matched cohort study.

Silin Liang, Mai Shi, Yunpeng Bai, Yujun Deng, Miaoxian Fang, Jiaxin Li, Yijin Wu, Wenying Peng, Yating Hou, Heng Fang and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2020. 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
2.1field-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, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Implementation and One-Year Evaluation of Proenkephalin A in Critical Care.International journal of molecular sciences · 2025
    Article
  4. Observational
  5. Cystatin C and Kidney Function Recovery in Patients Requiring Continuous KRT for Acute Kidney Injury.Clinical journal of the American Society of Nephrology : CJASN · 2024
    Article
  6. Article
  7. [Cystatin C-based estimation of glomerular filtration rate].Innere Medizin (Heidelberg, Germany) · 2023
    Article
  8. Observational
  9. Article
  10. Article
  11. 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

12 authors at 3 institutions in 1 country.

Silin LiangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong Province, People's Republic of China.
Mai ShiDepartment of Critical Medicine, Peking University Third Hospital, No.49, Huayuan Rd., Haidian District, Beijing, 100191, People's Republic of China.
Yunpeng BaiCenter of Scientific Research, Maoming People's Hospital, 101 Weimin Road, Maoming, 525000, Guangdong Province, People's Republic of China.
Yujun DengDepartment of Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou, 510080, Guangdong Province, People's Republic of China.
Miaoxian FangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong Province, People's Republic of China.
Jiaxin LiDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong Province, People's Republic of China.
Yijin WuDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong Province, People's Republic of China.
Wenying PengDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong Province, People's Republic of China.
Yating HouDepartment of Oncology, Maoming People's Hospital, 101 Weimin Road, Maoming, 525000, Guangdong Province, People's Republic of China.
Heng FangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong Province, People's Republic of China.
Huidan ZhangDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong Province, People's Republic of China.
Chunbo ChenDepartment of Intensive Care Unit of Cardiovascular Surgery, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 96 Dongchuan Road, Guangzhou, 510080, Guangdong Province, People's Republic of China. gghccm@163.com.
Guangdong Academy of Medical Sciences · CNGuangdong Provincial People's Hospital · CNPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlucocorticoids may impact the accuracy of serum cystatin C (sCysC) in reflecting renal function. We aimed to assess the effect of glucocorticoids on the performance of sCysC in detecting acute kidney injury (AKI) in critically ill patients.

methodsA prospective observational cohort study was performed in a general intensive care unit (ICU). Using propensity score matching, we successfully matched 240 glucocorticoid users with 960 non-users among 2716 patients. Serum creatinine (SCr) and sCysC were measured for all patients at ICU admission. Patients were divided into four groups based on cumulative doses of glucocorticoids within 5 days before ICU admission (Group I: non-users; Group II: 0 mg < prednisone ≤50 mg; Group III: 50 mg < prednisone ≤150 mg; Group IV: prednisone > 150 mg). We compared the performance of sCysC for diagnosing and predicting AKI in different groups using the area under the receiver operator characteristic curve (AUC).

resultsA total of 240 patients received glucocorticoid medication within 5 days before ICU admission. Before and after matching, the differences of sCysC levels between glucocorticoid users and non-users were both significant (P <  0.001). The multiple linear regression analysis revealed that glucocorticoids were independently associated with sCysC (P <  0.001). After matching, the group I had significantly lower sCysC levels than the group III and group IV (P <  0.05), but there were no significant differences in sCysC levels within different glucocorticoids recipient groups (P > 0.05). Simultaneously, we did not find significant differences in the AUC between any two groups in the matched cohort (P > 0.05).

conclusionsGlucocorticoids did not impact the performance of sCysC in identifying AKI in critically ill patients.

Indexed as

Acute Kidney InjuryAdultAgedBiomarkersCohort StudiesCreatinineCritical IllnessCystatin CFemaleGlucocorticoidsHumansIntensive Care UnitsMaleMiddle AgedPropensity ScoreROC CurveBiomarkersCreatinineCystatin CGlucocorticoidsAcute kidney injuryCystatin CIntensive care unitRenal biomarker

Identifiers

PMID33246435
PMCPMC7694927
OpenAlexW3107662867

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.