Evidence map›Paper›PMID 38864140›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2024

[Related factors of euthyroid sick syndrome in patients with sepsis].

Yuanyuan Zeng, Yun Xie, Daonan Chen, Ruilan Wang

Abstract readEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Nonthyroidal Illness Syndrome inJournal of global infectious diseases
    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

4 authors.

Yuanyuan ZengDepartment of Emergency And Critical Care, Shanghai General Hospital of Nanjing Medical University, Shanghai 201620, China.
Yun XieDepartment of Emergency And Critical Care, Shanghai General Hospital of Nanjing Medical University, Shanghai 201620, China.
Daonan ChenDepartment of Emergency And Critical Care, Shanghai General Hospital of Nanjing Medical University, Shanghai 201620, China.
Ruilan WangDepartment of Emergency And Critical Care, Shanghai General Hospital of Nanjing Medical University, Shanghai 201620, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the prevalence of euthyroid sick syndrome (ESS) in sepsis patients and to explore its influencing factors.

methodsIn the study, 365 patients diagnosed with sepsis in the emergency critical care department of Shanghai First People's Hospital from January 2017 to January 2023 were retrospectively enrolled. The patients were divided into ESS and non-ESS groups based on whether the patients were complicated with ESS.Baseline variables and relevant clinical data of the enrolled patients were collected. The prevalence of ESS in sepsis patients and its influencing factors were evaluated by multivariate Logistic regression analysis, and the 30-day survival rates were compared between the two groups. The optimal cutoff value for free triiodothyronine (FT3) was explored to predict death in the patients with sepsis.

resultsThere were 103 sepsis patients with ESS, accounting for 28.2% of the total cases. The severity of sepsis in ESS group was significantly higher than that in non-ESS group (

conclusionIn this study, the incidence of ESS in sepsis patients was determined to be 28.2% with poor prognosis. The results showed that PCT, IL-6, CRP, SAA and APTT were independent risk factors for ESS in sepsis patients, while HDL-C was a protective factor (

Indexed as

C-Reactive ProteinEuthyroid Sick SyndromesInterleukin-6SepsisAgedAPACHECalcitoninChinaFemaleHumansLogistic ModelsMaleMiddle AgedOrgan Dysfunction ScoresProcalcitoninRetrospective StudiesCalcitoninC-Reactive ProteinInterleukin-6ProcalcitoninSerum Amyloid A ProteinTriiodothyronineEuthyroid sick syndrome (ESS)Influencing factorsPrevalencePrognosisSepsis

Identifiers

PMID38864140
PMCPMC11167543

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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.