Evidence map›Paper›PMID 24669245›Full record

ArticleExperimental and therapeutic medicine2014

Diagnostic value of serum leptin and a promising novel diagnostic model for sepsis.

Mingyi Chen, Bin Wang, Yaping Xu, Zihui Deng, Hui Xue, Luhuan Wang, Lei He

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Risk Factors for COVID-19: Diabetes, Hypertension, and Obesity.Advances in experimental medicine and biology · 2021
    Article
  4. Review
  5. Review
  6. Article
  7. Leptin Functions in Infectious Diseases.Frontiers in immunology · 2018
    Review
  8. Article
  9. Article
  10. 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

7 authors.

Mingyi ChenDepartment of Hepatobiliary Surgery, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Bin WangDepartment of Critical Care Medicine, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Yaping XuCenter of Inspection of Clinical Division, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Zihui DengResearch Laboratory of Biochemistry, Basic Medical Institute, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Hui XueResearch Laboratory of Biochemistry, Basic Medical Institute, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Luhuan WangResearch Laboratory of Biochemistry, Basic Medical Institute, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.
Lei HeDepartment of Hepatobiliary Surgery, Chinese People's Liberation Army General Hospital, Beijing 100853, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of sepsis in critically ill patients is important to reduce morbidity and mortality. The present study was conducted to determine the role of serum leptin in the early diagnosis of sepsis and to establish a diagnostic model for sepsis. A retrospective study was conducted of 331 patients from an intensive care unit. All patients underwent consistent blood collection at 6:00 a.m. every morning after fasting. Serum leptin concentrations and additional markers of sepsis were compared between the sepsis group (n=128) and the non-sepsis group (n=203). Septic patients displayed significantly higher leptin serum concentrations compared with those of the non-sepsis group (mean concentration, 11.67 versus 4.824 mg/dl; P<0.001). The leptin levels in male patients were higher than those in female patients, particularly in the sepsis group. The accuracy of serum leptin levels in distinguishing septic patients from non-septic patients was 76%, and the area under the receiver operating characteristic (ROC) curve of serum leptin was ≤0.8. Additional markers of inflammation in the sepsis group were also significantly higher than those in the non-sepsis group. Positive correlations were identified between leptin and body temperature, heart rate and creatinine levels. Therefore, a prognostic model comprising a combination of leptin with temperature, platelet count, white blood cell count and heart rate was evaluated as an effective logistic regression model for the diagnosis of sepsis. The logistic regression output cut-off value was 0.46 and the area under the ROC curve was 0.953 (P<0.0001). It may be concluded that leptin is a valuable marker in the diagnosis of sepsis and the proposed prognostic model is an effective logistic regression model for the diagnosis of sepsis. The prognostic model is able to aid the differentiation of septic patients from non-septic patients.

Indexed as

diagnosisleptinsepsissystemic inflammatory response syndrome

Identifiers

PMID24669245
PMCPMC3961119

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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.