Evidence map›Paper›PMID 38681793›Full record

ArticleJournal of intensive medicine2024

Prediction of Th17/Treg cell balance on length of stay in intensive care units of patients with sepsis.

Yu Wu, Guosheng Wu, Minyu Li, Yongqing Chang, Miao Yu, Yan Meng, Xiaojian Wan

Abstract read
In one paragraph

Article in Journal of intensive medicine, 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. Review
  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.

Yu WuDepartment of Intensive Care Medicine, Changhai Hospital, Naval Medical University, Shanghai, China.
Guosheng WuDepartment of Burns, Changhai Hospital, Naval Medical University, Shanghai, China.
Minyu LiDepartment of Special Needs Clinic, Changhai Hospital, Naval Medical University, Shanghai, China.
Yongqing ChangDepartment of Intensive Care Medicine, Changhai Hospital, Naval Medical University, Shanghai, China.
Miao YuDepartment of Intensive Care Medicine, Changhai Hospital, Naval Medical University, Shanghai, China.
Yan MengDepartment of Intensive Care Medicine, Changhai Hospital, Naval Medical University, Shanghai, China.
Xiaojian WanDepartment of Intensive Care Medicine, Changhai Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prolonged length of stay (LOS) of sepsis can drain a hospital's material and human resources. This study investigated the correlations between T helper type 17 (Th17) and regulatory T (Treg) balance with LOS in sepsis. Methods: A prospective clinical observational study was designed in Changhai Hospital affiliated to Naval Medical University in Shanghai, China, from January to October 2020. The patients diagnosed with sepsis and who met the inclusion and exclusion criteria were recruited and whether the levels of cytokines, procalcitonin, subtypes, and biomarkers of T cells in the peripheral blood were detected. We analyzed the correlation between these and LOS. Results: Sixty septic patients were classified into two groups according to whether their intensive care unit (ICU) stay exceeded 14 days. The patients with LOS ≥14 days were older ([72.6±7.5] years Conclusions: The Th17/Treg ratio was proportional to septic severity and can be used as a potential predictor of ICU stay in sepsis, presenting a new option for ICU practitioners to better care for patients with sepsis.

Indexed as

Intensive care unitsLength of staySepsisTh17/Treg

Identifiers

PMID38681793
PMCPMC11043633

What OpenQuestion holds

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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.