Evidence map›Paper›PMID 28391592›Full record

ArticleClinical rheumatology2017

Metabolic syndrome in patients with ankylosing spondylitis receiving anti-TNFα therapy: association with predictors of cardiovascular risk.

Diego Germano Maia, Kristopherson Lustosa Augusto, Mailze Campos Bezerra, Carlos Ewerton Maia Rodrigues

Abstract read
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Article in Clinical rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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.

Diego Germano MaiaPost-graduate Program in Medical Sciences/Medical School, University of Fortaleza (Unifor), Fortaleza, Brazil. dgmaia@gmail.com.
Kristopherson Lustosa AugustoPost-graduate Program in Medical Sciences/Medical School, University of Fortaleza (Unifor), Fortaleza, Brazil.
Mailze Campos BezerraRheumatology Division, Walter Cantídio University Hospital, Federal University of Ceará, Fortaleza, Brazil.
Carlos Ewerton Maia RodriguesPost-graduate Program in Medical Sciences/Medical School, University of Fortaleza (Unifor), Fortaleza, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purposes of this study were to determine the prevalence of metabolic syndrome (MetS) in patients with ankylosing spondylitis (AS) receiving anti-TNFα therapy and evaluate the association of the two conditions with clinical and laboratory findings and predictors of cardiovascular risk. In this cross-sectional study, 63 patients diagnosed with AS according to the modified New York criteria and treated with TNFα blockers and 33 healthy controls were submitted to clinical examination and anthropometric measurements. Glucose levels, lipid profile, and inflammatory markers were registered. The Framingham score (FS), atherogenic index of plasma (AIP), and waist-to-height ratio (WHtR) were calculated. MetS was diagnosed according to the revised National Cholesterol Education Program - Adult Treatment Panel III guidelines. The prevalence of MetS was higher among AS patients than controls (27 vs. 9.1%, p = 0.04). AS patients also had greater body mass index (27.6 kg/m

Indexed as

AdultAnthropometryBody Mass IndexBrazilCardiovascular DiseasesCross-Sectional StudiesFemaleHumansInflammationMaleMetabolic SyndromeMiddle AgedRisk FactorsSeverity of Illness IndexSpondylitis, AnkylosingTumor Necrosis Factor-alphaTNF protein, humanTumor Necrosis Factor-alphaAnkylosing spondylitisBiologic therapyCardiovascular riskMetabolic syndrome

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.