Evidence map›Paper›PMID 32978938›Full record

ArticleInflammatory bowel diseases2021

Adipokine Resistin Levels at Time of Pediatric Crohn Disease Diagnosis Predict Escalation to Biologic Therapy.

Jacob A Kurowski, Jean-Paul Achkar, Rishi Gupta, Iulia Barbur, Tracey L Bonfield, Sarah Worley, Erick M Remer, Claudio Fiocchi, Satish E Viswanath, Marsha H Kay

Open access · greenAbstract read
In one paragraph

Article in Inflammatory bowel diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 47% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. 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

10 authors at 4 institutions in 1 country.

Jacob A KurowskiPediatric Gastroenterology, Hepatology, and Nutrition, Cleveland Clinic, Cleveland, Ohio, United States.ORCID 0000-0002-6347-2000
Jean-Paul AchkarGastroenterology, Hepatology, and Nutrition, Cleveland Clinic, Cleveland, Ohio, United States.
Rishi GuptaPediatric Gastroenterology, University of Rochester, Rochester, New York, United States.
Iulia BarburBiomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States.
Tracey L BonfieldPediatrics, Case Western Reserve University, Cleveland, Ohio, United States.
Sarah WorleyQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States.
Erick M RemerImaging Institute, Cleveland Clinic, Cleveland, Ohio, United States.
Claudio FiocchiInflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, United States.ORCID 0000-0001-6046-0592
Satish E ViswanathBiomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States.
Marsha H KayPediatric Gastroenterology, Hepatology, and Nutrition, Cleveland Clinic, Cleveland, Ohio, United States.
Cleveland Clinic · USCase Western Reserve University · USCleveland Clinic Lerner College of Medicine · USUniversity of Rochester · US

Funding

The Cleveland Digestive Diseases Research Core Center (DDRCC)P30DK097948 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI Theresa Torres Pizarro · 2015 to 2026
$15.6M
NIDDK NIH HHS P30 DK097948
6 · The paper itself

Abstract

backgroundHypertrophy of visceral adipose tissue (VAT) is a hallmark of Crohn disease (CD). The VAT produces a wide range of adipokines, biologically active factors that contribute to metabolic disorders in addition to CD pathogenesis. The study aim was to concomitantly evaluate serum adipokine profiles and VAT volumes as predictors of disease outcomes and treatment course in newly diagnosed pediatric patients with CD.

methodsPediatric patients ages 6 to 20 years were enrolled, and their clinical data and anthropometric measurements were obtained. Adipokine levels were measured at 0, 6, and 12 months after CD diagnosis and baseline in control patients (CP). The VAT volumes were measured by magnetic resonance imaging or computed tomography imaging within 3 months of diagnosis.

resultsOne hundred four patients undergoing colonoscopy were prospectively enrolled: 36 diagnosed with CD and 68 CP. The serum adipokine resistin and plasminogen activator inhibitor (PAI)-1 levels were significantly higher in patients with CD at diagnosis than in CP. The VAT volume was similar between CD and CP. Baseline resistin levels at the time of diagnosis in patients with CD who were escalated to biologics was significantly higher than in those not treated using biologic therapy by 12 months (29.8 ng/mL vs 13.8 ng/mL; P = 0.004). A resistin level of ≥29.8 ng/mL at the time of diagnosis predicted escalation to biologic therapy in the first year after diagnosis with a specificity of 95% (sensitivity = 53%; area under the curve = 0.82; P = 0.015 for model with log-scale). There was a significantly greater reduction in resistin (P = 0.002) and PAI-1 (P = 0.010) at the 12-month follow-up in patients on biologics compared with patients who were not treated using biologics.

conclusionsSerum resistin levels at diagnosis of pediatric CD predict the escalation to biologic therapy at 12 months, independent of VAT volumes. Resistin and PAI-1 levels significantly improved in patients with CD after treatment using biologics compared with those not on biologics. These results suggest the utility of resistin as a predictive biomarker in pediatric CD.

Indexed as

Biological TherapyCrohn DiseaseAdipokinesAdolescentChildHumansPlasminogen Activator Inhibitor 1ResistinYoung AdultAdipokinesPlasminogen Activator Inhibitor 1ResistinadipokinesCrohn diseaseresistinvisceral adipose tissue

Identifiers

PMID32978938
PMCPMC8355503
OpenAlexW3088546159

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.