Evidence map›Paper›PMID 36468929›Full record

ArticleArchives of endocrinology and metabolism2023

Metabolic syndrome and Visceral Adiposity Index in non-functional adrenal adenomas.

Savas Karatas, Yalcin Hacioglu, Selvihan Beysel

Abstract read
In one paragraph

Article in Archives of endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Lowering the dexamethasone suppression test cut-off: is it time yet?Journal of endocrinological investigation · 2025
    Review
  4. Article
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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

3 authors.

Savas KaratasIstanbul Research and Education Hospital, Endocrinology and Metabolism Department, Fatih, Istanbul, Turkey, drsavaskaratas@yahoo.com.
Yalcin HaciogluIstanbul Research and Education Hospital, Family Medicine Department, Fatih, Istanbul, Turkey.
Selvihan BeyselAfyon Kocatepe University Endocrinology and Metabolism Department, Afyon, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We aimed to identify metabolic dysfunction in non-functioning adrenal adenomas (NFAAs) and Visceral Adiposity Index (VAI) predictability in the practical estimation of metabolic syndrome (MetS) in NFAAs. Subjects and methods: 134 NFAA patients and 68 control subjects matched for age, sex, and body mass index (BMI) were included in the study. After physical, biochemical, and endocrine evaluation, IDF and NCEP ATP III criteria were used to determine MetS. HOMA-IR and VAI were calculated for both study group subjects. Results: MetS was significantly higher in the NFAA patients. The incidence of MetS by IDF and NCEP criteria was 52.9%,48.5% in the NFAI and 32.3%,30.8% in the control group (p < 0.01, p = 0.02). The risk of MetS was increased in NFAA (75.6 vs. 24.4%, p = 0.017, OR = 1.34, 95% CI = 1.06-1.68). Glucose, HOMA IR, hypertension, and VAI were significantly increased in NFAA patients. The risk of MetS was independently associated with high VAI (79.2 vs. 20.8%, p = 0.001, OR = 2.22; 95% CI = 1.70-2.91). Conclusion: MetS, insulin resistance, and VAI are more prevalant in NFAA patients than in healthy individuals. VAI can be used with high specificity to estimate MetS in NFAA patients.

Indexed as

AdenomaInsulin ResistanceMetabolic SyndromeAdiposityBody Mass IndexHumansIntra-Abdominal FatObesity, AbdominalWaist Circumferenceadrenal adenomametabolic syndromeVisceral Adiposity Index

Identifiers

PMID36468929
PMCPMC10247244

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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.