Evidence map›Paper›PMID 37519590›Full record

ArticleCureus2023

Gamma-Glutamyl Transferase as a Diagnostic Marker of Metabolic Syndrome.

Bobbili Tarun Kesava Naidu, Kakarlapudi Santosh Raju, Janapareddi V BhaskaraRao, Nallapati Sunil Kumar

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Link Between Metabolic Syndrome, Inflammation, and Eye Diseases.International journal of molecular sciences · 2025
    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

4 authors.

Bobbili Tarun Kesava NaiduGeneral Medicine, Maharajah's Institute of Medical Sciences (MIMS), Vizianagaram, IND.
Kakarlapudi Santosh RajuGeneral Medicine, Maharajah's Institute of Medical Sciences (MIMS), Vizianagaram, IND.
Janapareddi V BhaskaraRaoNeurology, Gitam Institute of Medical Sciences and Research, Visakhapatnam, IND.
Nallapati Sunil KumarGeneral Medicine, Sri Lalithambigai Medical College and Hospital, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The metabolic syndrome consists of metabolic abnormalities that increase the risk of cardiovascular disease (CVD) and cerebrovascular disease. Metabolic syndrome (MetS) is a growing problem worldwide, and substantial efforts have been made in the last years to identify early, minimally invasive blood-based biomarkers for its diagnosis. This study attempted to assess how serum Gamma-Glutamyl Transferase (GGT) performed as an ideal endogenous substance for the diagnosis of metabolic syndrome and hence estimate cardiovascular risks. Methodology This study has been undertaken to assess the role of GGT as a marker in the diagnosis of metabolic syndrome and to assess the sensitivity and specificity of GGT in the diagnosis of metabolic syndrome. One hundred and eighty subjects were recruited comprising 90 cases of MetS and an equal number of age and gender-matched controls. Patients were recruited into the study group after satisfying the International Diabetes Federation (IDF) criteria for MetS. GGT values were obtained for both groups apart from other parameters. The patients in the study were also evaluated for the presence of cardiovascular diseases and cerebrovascular accidents (CVA). Results Sixty cases have GGT levels above the normal range (55 in males and 38 in females), and none in the control group have GGT levels above normal. This difference is statistically significant (

Indexed as

diagnostic markergamma glutamyl transferase (ggt)ggtlftmetabolic syndrome (mets)

Identifiers

PMID37519590
PMCPMC10375041

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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.