Evidence map›Paper›PMID 35887790›Full record

ArticleJournal of clinical medicine2022

Th17/Regulatory T-Cell Imbalance and Acute Kidney Injury in Patients with Sepsis.

Xiao Zhou, Jingyi Yao, Jin Lin, Jingfeng Liu, Lei Dong, Meili Duan

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Biomarkers as Beacons: Illuminating Sepsis-Associated Hepato-Renal Injury.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
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  15. 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

6 authors.

Xiao ZhouDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.ORCID 0000-0003-1352-2871
Jingyi YaoExperimental Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jin LinDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jingfeng LiuDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Lei DongDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Meili DuanDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To analyze the predictive value of the Th17/Treg ratio for renal injury in sepsis patients, a prospective observational study was conducted. Adult patients with sepsis were enrolled and divided into a sepsis-induced acute kidney injury (SAKI) group and a sepsis-without-AKI group. Logistic regression was used to analyze the independent predictors of SAKI, and the ROC curve was plotted to evaluate the predictive value of the Th17/Treg ratio for renal injury in patients with sepsis. A total of 124 patients were enrolled in this study, including 60 cases (48.39%) of SAKI. Patients who developed sepsis-induced acute kidney injury had a higher Th17/Treg ratio level compared to patients without it (0.11 [0.07, 0.28] versus 0.06 [0.05, 0.16], p < 0.05, respectively. The area under the receiver operating characteristic curve of the Th17/Treg ratio to predict sepsis-induced acute kidney injury was 0.669 (95% CI 0.574−0.763, p < 0.05). The Th17/Treg ratio was associated with SAKI (OR 1.15, 95%CI [1.06−1.24], p < 0.05, non-adjusted and R 1.12, 95%CI [1.00−1.25], p < 0.05, adjusted). The use of the Th17/Treg ratio improved the prediction performance of the prediction model of NAGL. The median Th17/Treg ratio significantly increased with the stratified KDIGO stage (p < 0.05). Th17/Treg imbalance was associated with occurrence of acute kidney injury and AKI severity in patients with sepsis. The Th17/Treg ratio could be a potential predictive marker of sepsis-induced acute kidney injury.

Indexed as

acute kidney injuryregulatory T cell (Treg)sepsisTh17 cells (Th17)Th17/Treg imbalance

Identifiers

PMID35887790
PMCPMC9320223

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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.