Evidence mapPaperPMID 40312748Full record

SynthesisSystematic reviews2025

The predictive value of endocan as a novel biomarker: an umbrella study on meta-analyses.

Sandeep Samethadka Nayak, Daniyal Ameen, Sara Nobakht, Ranjan Nayak, Shrinidhi Vilas Prabhu, Mohammad-Hossein Keivanlou, Soheil Hassanipour, Ehsan Amini-Salehi, Nisarg Thakker

Abstract readSystematic Review
In one paragraph

Synthesis in Systematic reviews, 2025. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Sandeep Samethadka NayakDepartment of Internal Medicine, Yale New Haven Health Bridgeport Hospital, Bridgeport, CT, USA.
Daniyal AmeenDepartment of Internal Medicine, Yale New Haven Health Bridgeport Hospital, Bridgeport, CT, USA.
Sara NobakhtGastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Ranjan NayakDepartment of Anesthesiology, KS Hegde Medical Academy Mangaluru, Mangaluru, Karnataka, India.
Shrinidhi Vilas PrabhuMVJ Medical College and Research Hospital, Bengaluru, India.
Mohammad-Hossein KeivanlouGastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Soheil HassanipourGastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
Ehsan Amini-SalehiGastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran. ehsanaminisalehi1998@gmail.com.ORCID 0000-0003-4985-2899
Nisarg ThakkerDepartment of Internal Medicine, Yale New Haven Health Bridgeport Hospital, Bridgeport, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimIn recent years, endocan has emerged as a potential biomarker in various medical conditions. This multifaceted molecule, involved in key processes such as inflammation and endothelial dysfunction, has shown promise in predicting disease progression and therapeutic response across a spectrum of pathologies. However, the heterogeneity of studies and the complexity of endocan's role in different diseases necessitate a comprehensive review. This umbrella review aimed to systematically synthesize and evaluate the evidence from multiple meta-analyses, offering a view of endocan's effectiveness as a predictive biomarker in medical diseases.

methodsAn extensive search was carried out on March 12, 2024, using the following four databases: PubMed, Scopus, Web of Science, and Cochrane Library. The goal was to identify meta-analyses that assess endocan's predictive efficacy. The pooled effect size and its 95% confidence interval were taken out of each discovered meta-analysis. Furthermore, power analyses were performed to assess the robustness and dependability of the results. An additional GRADE assessment was carried out to gauge the epidemiological reliability of the findings.

resultsIn the final analysis, 12 meta-analyses were included in the current umbrella review. The results showed that there is a significant correlation between a higher endocan level and COVID-19 (SMD: 1.40, 95% CI 0.21-2.58, P = 0.02), followed by chronic kidney disease (SMD: 1.34, 95% CI 0.20 to 2.48, P < 0.01), obstructive sleep apnea (SMD: 1.30, 95% CI 1.06-1.54, P < 0.01), diabetes mellitus (SMD: 1.00, 95% CI 0.81 to 1.19, P < 0.01), coronary artery disease (SMD: 0.99, 95% CI 0.58-1.39, P < 0.01), hypertension (SMD: 0.91, 95% CI 0.44-1.38, P < 0.01), and preeclampsia (SMD: 0.37, 95% CI 0.13-0.62, P < 0.01).

conclusionEndocan has emerged as a highly promising biomarker with considerable potential across various medical conditions. Its relevance spans critical areas such as COVID-19, chronic kidney disease, obstructive sleep apnea, diabetes mellitus, coronary artery disease, and preeclampsia. The broad applicability of endocan highlights its value in improving diagnostic accuracy and enhancing our understanding of these diseases. Clinically, incorporating endocan testing could aid in early detection, monitoring disease progression, and refining patient management, particularly for high-risk populations. However, additional research is needed to fully assess its specificity, sensitivity, and overall clinical utility, paving the way for its integration into routine healthcare practices and enabling more precise, individualized treatment strategies.

Indexed as

COVID-19Neoplasm ProteinsProteoglycansBiomarkersHumansMeta-Analysis as TopicPredictive Value of TestsSARS-CoV-2BiomarkersESM1 protein, humanNeoplasm ProteinsProteoglycansCardiovascular outcomeClinical performanceEndocanMeta-analysisPredictionSystematic reviewUmbrella review

Identifiers

PMID40312748
PMCPMC12044772

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.